id	sid	tid	token	lemma	pos
bracis-19058	1	1	encoding	encode	VERB
bracis-19058	1	2	physical	physical	ADJ
bracis-19058	1	3	conditioning	conditioning	NOUN
bracis-19058	1	4	from	from	ADP
bracis-19058	1	5	inertial	inertial	ADJ
bracis-19058	1	6	sensors	sensor	NOUN
bracis-19058	1	7	for	for	ADP
bracis-19058	1	8	multi	multi	ADJ
bracis-19058	1	9	-	-	ADJ
bracis-19058	1	10	step	step	ADJ
bracis-19058	1	11	heart	heart	NOUN
bracis-19058	1	12	rate	rate	NOUN
bracis-19058	1	13	estimation	estimation	NOUN
bracis-19058	1	14	|	|	NOUN
bracis-19058	1	15	springer	springer	NOUN
bracis-19058	1	16	nature	nature	PROPN
bracis-19058	1	17	link	link	PROPN
bracis-19058	1	18	(	(	PUNCT
bracis-19058	1	19	formerly	formerly	ADV
bracis-19058	1	20	springerlink	springerlink	NOUN
bracis-19058	1	21	)	)	PUNCT
bracis-19058	1	22	skip	skip	VERB
bracis-19058	1	23	to	to	ADP
bracis-19058	1	24	main	main	ADJ
bracis-19058	1	25	content	content	NOUN
bracis-19058	1	26	advertisement	advertisement	NOUN
bracis-19058	1	27	log	log	NOUN
bracis-19058	1	28	in	in	ADP
bracis-19058	1	29	menu	menu	NOUN
bracis-19058	1	30	find	find	VERB
bracis-19058	1	31	a	a	DET
bracis-19058	1	32	journal	journal	NOUN
bracis-19058	1	33	publish	publish	VERB
bracis-19058	1	34	with	with	ADP
bracis-19058	1	35	us	we	PRON
bracis-19058	1	36	track	track	VERB
bracis-19058	1	37	your	your	PRON
bracis-19058	1	38	research	research	NOUN
bracis-19058	1	39	search	search	NOUN
bracis-19058	1	40	cart	cart	NOUN
bracis-19058	1	41	home	home	NOUN
bracis-19058	1	42	intelligent	intelligent	ADJ
bracis-19058	1	43	systems	system	NOUN
bracis-19058	1	44	conference	conference	NOUN
bracis-19058	1	45	paper	paper	NOUN
bracis-19058	1	46	encoding	encode	VERB
bracis-19058	1	47	physical	physical	ADJ
bracis-19058	1	48	conditioning	conditioning	NOUN
bracis-19058	1	49	from	from	ADP
bracis-19058	1	50	inertial	inertial	ADJ
bracis-19058	1	51	sensors	sensor	NOUN
bracis-19058	1	52	for	for	ADP
bracis-19058	1	53	multi	multi	ADJ
bracis-19058	1	54	-	-	ADJ
bracis-19058	1	55	step	step	ADJ
bracis-19058	1	56	heart	heart	NOUN
bracis-19058	1	57	rate	rate	NOUN
bracis-19058	1	58	estimation	estimation	NOUN
bracis-19058	1	59	conference	conference	NOUN
bracis-19058	1	60	paper	paper	NOUN
bracis-19058	1	61	first	first	ADV
bracis-19058	1	62	online	online	ADV
bracis-19058	1	63	:	:	PUNCT
bracis-19058	1	64	28	28	NUM
bracis-19058	1	65	november	november	PROPN
bracis-19058	1	66	2021	2021	NUM
bracis-19058	1	67	pp	pp	ADP
bracis-19058	1	68	58–72	58–72	NUM
bracis-19058	1	69	cite	cite	VERB
bracis-19058	1	70	this	this	DET
bracis-19058	1	71	conference	conference	NOUN
bracis-19058	1	72	paper	paper	NOUN
bracis-19058	1	73	access	access	NOUN
bracis-19058	1	74	provided	provide	VERB
bracis-19058	1	75	by	by	ADP
bracis-19058	1	76	university	university	PROPN
bracis-19058	1	77	of	of	ADP
bracis-19058	1	78	notre	notre	PROPN
bracis-19058	1	79	dame	dame	PROPN
bracis-19058	1	80	hesburgh	hesburgh	PROPN
bracis-19058	1	81	library	library	PROPN
bracis-19058	1	82	download	download	PROPN
bracis-19058	1	83	book	book	NOUN
bracis-19058	1	84	pdf	pdf	PROPN
bracis-19058	1	85	download	download	NOUN
bracis-19058	1	86	book	book	NOUN
bracis-19058	1	87	epub	epub	PROPN
bracis-19058	1	88	intelligent	intelligent	ADJ
bracis-19058	1	89	systems	system	NOUN
bracis-19058	1	90	(	(	PUNCT
bracis-19058	1	91	bracis	bracis	NOUN
bracis-19058	1	92	2021	2021	NUM
bracis-19058	1	93	)	)	PUNCT
bracis-19058	1	94	encoding	encode	VERB
bracis-19058	1	95	physical	physical	ADJ
bracis-19058	1	96	conditioning	conditioning	NOUN
bracis-19058	1	97	from	from	ADP
bracis-19058	1	98	inertial	inertial	ADJ
bracis-19058	1	99	sensors	sensor	NOUN
bracis-19058	1	100	for	for	ADP
bracis-19058	1	101	multi	multi	ADJ
bracis-19058	1	102	-	-	ADJ
bracis-19058	1	103	step	step	ADJ
bracis-19058	1	104	heart	heart	NOUN
bracis-19058	1	105	rate	rate	NOUN
bracis-19058	1	106	estimation	estimation	NOUN
bracis-19058	1	107	download	download	NOUN
bracis-19058	1	108	book	book	NOUN
bracis-19058	1	109	pdf	pdf	PROPN
bracis-19058	1	110	download	download	NOUN
bracis-19058	1	111	book	book	PROPN
bracis-19058	1	112	epub	epub	PROPN
bracis-19058	1	113	davi	davi	PROPN
bracis-19058	1	114	pedrosa	pedrosa	PROPN
bracis-19058	1	115	de	de	PROPN
bracis-19058	1	116	aguiar	aguiar	PROPN
bracis-19058	1	117	  	  	SPACE
bracis-19058	1	118	orcid	orcid	NOUN
bracis-19058	1	119	:	:	PUNCT
bracis-19058	1	120	orcid.org/0000-0003-2286-584110	orcid.org/0000-0003-2286-584110	PROPN
bracis-19058	1	121	&	&	CCONJ
bracis-19058	1	122	fabricio	fabricio	PROPN
bracis-19058	1	123	murai	murai	PROPN
bracis-19058	1	124	  	  	SPACE
bracis-19058	1	125	orcid	orcid	NOUN
bracis-19058	1	126	:	:	PUNCT
bracis-19058	1	127	orcid.org/0000-0003-4487-638110	orcid.org/0000-0003-4487-638110	NOUN
bracis-19058	1	128	  	  	SPACE
bracis-19058	1	129	part	part	NOUN
bracis-19058	1	130	of	of	ADP
bracis-19058	1	131	the	the	DET
bracis-19058	1	132	book	book	NOUN
bracis-19058	1	133	series	series	NOUN
bracis-19058	1	134	:	:	PUNCT
bracis-19058	1	135	lecture	lecture	NOUN
bracis-19058	1	136	notes	note	NOUN
bracis-19058	1	137	in	in	ADP
bracis-19058	1	138	computer	computer	NOUN
bracis-19058	1	139	science	science	NOUN
bracis-19058	1	140	(	(	PUNCT
bracis-19058	1	141	(	(	PUNCT
bracis-19058	1	142	lnai	lnai	ADJ
bracis-19058	1	143	,	,	PUNCT
bracis-19058	1	144	volume	volume	NOUN
bracis-19058	1	145	13074	13074	NUM
bracis-19058	1	146	)	)	PUNCT
bracis-19058	1	147	)	)	PUNCT
bracis-19058	1	148	included	include	VERB
bracis-19058	1	149	in	in	ADP
bracis-19058	1	150	the	the	DET
bracis-19058	1	151	following	follow	VERB
bracis-19058	1	152	conference	conference	NOUN
bracis-19058	1	153	series	series	NOUN
bracis-19058	1	154	:	:	PUNCT
bracis-19058	1	155	brazilian	brazilian	ADJ
bracis-19058	1	156	conference	conference	NOUN
bracis-19058	1	157	on	on	ADP
bracis-19058	1	158	intelligent	intelligent	ADJ
bracis-19058	1	159	systems	system	NOUN
bracis-19058	1	160	1260	1260	NUM
bracis-19058	1	161	accesses	access	VERB
bracis-19058	1	162	abstract	abstract	ADJ
bracis-19058	1	163	inertial	inertial	ADJ
bracis-19058	1	164	measurement	measurement	NOUN
bracis-19058	1	165	unit	unit	NOUN
bracis-19058	1	166	(	(	PUNCT
bracis-19058	1	167	imu	imu	NOUN
bracis-19058	1	168	)	)	PUNCT
bracis-19058	1	169	sensors	sensor	NOUN
bracis-19058	1	170	are	be	AUX
bracis-19058	1	171	present	present	ADJ
bracis-19058	1	172	in	in	ADP
bracis-19058	1	173	everyday	everyday	ADJ
bracis-19058	1	174	devices	device	NOUN
bracis-19058	1	175	such	such	ADJ
bracis-19058	1	176	as	as	ADP
bracis-19058	1	177	smartphones	smartphone	NOUN
bracis-19058	1	178	and	and	CCONJ
bracis-19058	1	179	fitness	fitness	NOUN
bracis-19058	1	180	watches	watch	NOUN
bracis-19058	1	181	.	.	PUNCT
bracis-19058	2	1	as	as	ADP
bracis-19058	2	2	a	a	DET
bracis-19058	2	3	result	result	NOUN
bracis-19058	2	4	,	,	PUNCT
bracis-19058	2	5	the	the	DET
bracis-19058	2	6	array	array	NOUN
bracis-19058	2	7	of	of	ADP
bracis-19058	2	8	health	health	NOUN
bracis-19058	2	9	-	-	PUNCT
bracis-19058	2	10	related	relate	VERB
bracis-19058	2	11	research	research	NOUN
bracis-19058	2	12	and	and	CCONJ
bracis-19058	2	13	applications	application	NOUN
bracis-19058	2	14	that	that	PRON
bracis-19058	2	15	tap	tap	VERB
bracis-19058	2	16	onto	onto	ADP
bracis-19058	2	17	this	this	DET
bracis-19058	2	18	data	data	NOUN
bracis-19058	2	19	has	have	AUX
bracis-19058	2	20	been	be	AUX
bracis-19058	2	21	growing	grow	VERB
bracis-19058	2	22	,	,	PUNCT
bracis-19058	2	23	but	but	CCONJ
bracis-19058	2	24	little	little	ADJ
bracis-19058	2	25	attention	attention	NOUN
bracis-19058	2	26	has	have	AUX
bracis-19058	2	27	been	be	AUX
bracis-19058	2	28	devoted	devote	VERB
bracis-19058	2	29	to	to	ADP
bracis-19058	2	30	the	the	DET
bracis-19058	2	31	prediction	prediction	NOUN
bracis-19058	2	32	of	of	ADP
bracis-19058	2	33	an	an	DET
bracis-19058	2	34	individual	individual	NOUN
bracis-19058	2	35	’s	’s	PART
bracis-19058	2	36	heart	heart	NOUN
bracis-19058	2	37	rate	rate	NOUN
bracis-19058	2	38	(	(	PUNCT
bracis-19058	2	39	hr	hr	NOUN
bracis-19058	2	40	)	)	PUNCT
bracis-19058	2	41	from	from	ADP
bracis-19058	2	42	imu	imu	NOUN
bracis-19058	2	43	data	datum	NOUN
bracis-19058	2	44	,	,	PUNCT
bracis-19058	2	45	when	when	SCONJ
bracis-19058	2	46	undergoing	undergo	VERB
bracis-19058	2	47	a	a	DET
bracis-19058	2	48	physical	physical	ADJ
bracis-19058	2	49	activity	activity	NOUN
bracis-19058	2	50	.	.	PUNCT
bracis-19058	3	1	would	would	AUX
bracis-19058	3	2	that	that	PRON
bracis-19058	3	3	be	be	AUX
bracis-19058	3	4	even	even	ADV
bracis-19058	3	5	possible	possible	ADJ
bracis-19058	3	6	?	?	PUNCT
bracis-19058	4	1	if	if	SCONJ
bracis-19058	4	2	so	so	ADV
bracis-19058	4	3	,	,	PUNCT
bracis-19058	4	4	this	this	PRON
bracis-19058	4	5	could	could	AUX
bracis-19058	4	6	be	be	AUX
bracis-19058	4	7	used	use	VERB
bracis-19058	4	8	to	to	PART
bracis-19058	4	9	design	design	VERB
bracis-19058	4	10	personalized	personalized	ADJ
bracis-19058	4	11	sets	set	NOUN
bracis-19058	4	12	of	of	ADP
bracis-19058	4	13	aerobic	aerobic	ADJ
bracis-19058	4	14	exercises	exercise	NOUN
bracis-19058	4	15	,	,	PUNCT
bracis-19058	4	16	for	for	ADP
bracis-19058	4	17	instance	instance	NOUN
bracis-19058	4	18	.	.	PUNCT
bracis-19058	5	1	in	in	ADP
bracis-19058	5	2	this	this	DET
bracis-19058	5	3	work	work	NOUN
bracis-19058	5	4	,	,	PUNCT
bracis-19058	5	5	we	we	PRON
bracis-19058	5	6	show	show	VERB
bracis-19058	5	7	that	that	SCONJ
bracis-19058	5	8	it	it	PRON
bracis-19058	5	9	is	be	AUX
bracis-19058	5	10	viable	viable	ADJ
bracis-19058	5	11	to	to	PART
bracis-19058	5	12	obtain	obtain	VERB
bracis-19058	5	13	accurate	accurate	ADJ
bracis-19058	5	14	hr	hr	NOUN
bracis-19058	5	15	predictions	prediction	NOUN
bracis-19058	5	16	from	from	ADP
bracis-19058	5	17	imu	imu	NOUN
bracis-19058	5	18	data	datum	NOUN
bracis-19058	5	19	using	use	VERB
bracis-19058	5	20	recurrent	recurrent	ADJ
bracis-19058	5	21	neural	neural	ADJ
bracis-19058	5	22	networks	network	NOUN
bracis-19058	5	23	,	,	PUNCT
bracis-19058	5	24	provided	provide	VERB
bracis-19058	5	25	only	only	ADV
bracis-19058	5	26	access	access	NOUN
bracis-19058	5	27	to	to	ADP
bracis-19058	5	28	hr	hr	NOUN
bracis-19058	5	29	and	and	CCONJ
bracis-19058	5	30	imu	imu	NOUN
bracis-19058	5	31	data	datum	NOUN
bracis-19058	5	32	from	from	ADP
bracis-19058	5	33	a	a	DET
bracis-19058	5	34	short	short	ADV
bracis-19058	5	35	-	-	PUNCT
bracis-19058	5	36	lived	live	VERB
bracis-19058	5	37	,	,	PUNCT
bracis-19058	5	38	previously	previously	ADV
bracis-19058	5	39	executed	execute	VERB
bracis-19058	5	40	activity	activity	NOUN
bracis-19058	5	41	.	.	PUNCT
bracis-19058	6	1	we	we	PRON
bracis-19058	6	2	propose	propose	VERB
bracis-19058	6	3	a	a	DET
bracis-19058	6	4	novel	novel	ADJ
bracis-19058	6	5	method	method	NOUN
bracis-19058	6	6	for	for	ADP
bracis-19058	6	7	initializing	initialize	VERB
bracis-19058	6	8	an	an	DET
bracis-19058	6	9	rnn	rnn	NOUN
bracis-19058	6	10	’s	’s	PART
bracis-19058	6	11	hidden	hide	VERB
bracis-19058	6	12	state	state	NOUN
bracis-19058	6	13	vectors	vector	NOUN
bracis-19058	6	14	,	,	PUNCT
bracis-19058	6	15	using	use	VERB
bracis-19058	6	16	a	a	DET
bracis-19058	6	17	specialized	specialized	ADJ
bracis-19058	6	18	network	network	NOUN
bracis-19058	6	19	that	that	PRON
bracis-19058	6	20	attempts	attempt	VERB
bracis-19058	6	21	to	to	PART
bracis-19058	6	22	extract	extract	VERB
bracis-19058	6	23	an	an	DET
bracis-19058	6	24	embedding	embedding	NOUN
bracis-19058	6	25	of	of	ADP
bracis-19058	6	26	the	the	DET
bracis-19058	6	27	physical	physical	ADJ
bracis-19058	6	28	conditioning	conditioning	NOUN
bracis-19058	6	29	(	(	PUNCT
bracis-19058	6	30	pce	pce	PROPN
bracis-19058	6	31	)	)	PUNCT
bracis-19058	6	32	of	of	ADP
bracis-19058	6	33	a	a	DET
bracis-19058	6	34	subject	subject	NOUN
bracis-19058	6	35	.	.	PUNCT
bracis-19058	7	1	we	we	PRON
bracis-19058	7	2	show	show	VERB
bracis-19058	7	3	that	that	SCONJ
bracis-19058	7	4	using	use	VERB
bracis-19058	7	5	a	a	DET
bracis-19058	7	6	discriminator	discriminator	NOUN
bracis-19058	7	7	in	in	ADP
bracis-19058	7	8	the	the	DET
bracis-19058	7	9	training	training	NOUN
bracis-19058	7	10	phase	phase	NOUN
bracis-19058	7	11	to	to	PART
bracis-19058	7	12	help	help	VERB
bracis-19058	7	13	the	the	DET
bracis-19058	7	14	model	model	NOUN
bracis-19058	7	15	learn	learn	VERB
bracis-19058	7	16	whether	whether	SCONJ
bracis-19058	7	17	two	two	NUM
bracis-19058	7	18	pces	pce	NOUN
bracis-19058	7	19	belong	belong	VERB
bracis-19058	7	20	to	to	ADP
bracis-19058	7	21	the	the	DET
bracis-19058	7	22	same	same	ADJ
bracis-19058	7	23	individual	individual	NOUN
bracis-19058	7	24	further	far	ADV
bracis-19058	7	25	reduces	reduce	VERB
bracis-19058	7	26	the	the	DET
bracis-19058	7	27	prediction	prediction	NOUN
bracis-19058	7	28	error	error	NOUN
bracis-19058	7	29	.	.	PUNCT
bracis-19058	8	1	we	we	PRON
bracis-19058	8	2	evaluate	evaluate	VERB
bracis-19058	8	3	the	the	DET
bracis-19058	8	4	proposed	propose	VERB
bracis-19058	8	5	model	model	NOUN
bracis-19058	8	6	when	when	SCONJ
bracis-19058	8	7	predicting	predict	VERB
bracis-19058	8	8	the	the	DET
bracis-19058	8	9	hr	hr	NOUN
bracis-19058	8	10	of	of	ADP
bracis-19058	8	11	23	23	NUM
bracis-19058	8	12	subjects	subject	NOUN
bracis-19058	8	13	performing	perform	VERB
bracis-19058	8	14	a	a	DET
bracis-19058	8	15	variety	variety	NOUN
bracis-19058	8	16	of	of	ADP
bracis-19058	8	17	physical	physical	ADJ
bracis-19058	8	18	activities	activity	NOUN
bracis-19058	8	19	from	from	ADP
bracis-19058	8	20	imu	imu	NOUN
bracis-19058	8	21	data	datum	NOUN
bracis-19058	8	22	available	available	ADJ
bracis-19058	8	23	in	in	ADP
bracis-19058	8	24	public	public	ADJ
bracis-19058	8	25	datasets	dataset	NOUN
bracis-19058	8	26	(	(	PUNCT
bracis-19058	8	27	pamap2	pamap2	NOUN
bracis-19058	8	28	,	,	PUNCT
bracis-19058	8	29	ppg	ppg	NOUN
bracis-19058	8	30	-	-	PUNCT
bracis-19058	8	31	dalia	dalia	PROPN
bracis-19058	8	32	)	)	PUNCT
bracis-19058	8	33	.	.	PUNCT
bracis-19058	9	1	for	for	ADP
bracis-19058	9	2	comparison	comparison	NOUN
bracis-19058	9	3	,	,	PUNCT
bracis-19058	9	4	we	we	PRON
bracis-19058	9	5	use	use	VERB
bracis-19058	9	6	as	as	ADP
bracis-19058	9	7	baselines	baseline	NOUN
bracis-19058	9	8	the	the	DET
bracis-19058	9	9	only	only	ADJ
bracis-19058	9	10	model	model	NOUN
bracis-19058	9	11	specifically	specifically	ADV
bracis-19058	9	12	proposed	propose	VERB
bracis-19058	9	13	for	for	ADP
bracis-19058	9	14	this	this	DET
bracis-19058	9	15	task	task	NOUN
bracis-19058	9	16	and	and	CCONJ
bracis-19058	9	17	an	an	DET
bracis-19058	9	18	adapted	adapted	ADJ
bracis-19058	9	19	state	state	NOUN
bracis-19058	9	20	-	-	PUNCT
bracis-19058	9	21	of	of	ADP
bracis-19058	9	22	-	-	PUNCT
bracis-19058	9	23	the	the	DET
bracis-19058	9	24	-	-	PUNCT
bracis-19058	9	25	art	art	NOUN
bracis-19058	9	26	model	model	NOUN
bracis-19058	9	27	for	for	ADP
bracis-19058	9	28	human	human	ADJ
bracis-19058	9	29	activity	activity	NOUN
bracis-19058	9	30	recognition	recognition	NOUN
bracis-19058	9	31	(	(	PUNCT
bracis-19058	9	32	har	har	NOUN
bracis-19058	9	33	)	)	PUNCT
bracis-19058	9	34	,	,	PUNCT
bracis-19058	9	35	a	a	DET
bracis-19058	9	36	closely	closely	ADV
bracis-19058	9	37	related	relate	VERB
bracis-19058	9	38	task	task	NOUN
bracis-19058	9	39	.	.	PUNCT
bracis-19058	10	1	our	our	PRON
bracis-19058	10	2	method	method	NOUN
bracis-19058	10	3	,	,	PUNCT
bracis-19058	10	4	pce	pce	NOUN
bracis-19058	10	5	-	-	NOUN
bracis-19058	10	6	lstm	lstm	PROPN
bracis-19058	10	7	,	,	PUNCT
bracis-19058	10	8	yields	yield	NOUN
bracis-19058	10	9	over	over	ADP
bracis-19058	10	10	10	10	NUM
bracis-19058	10	11	%	%	NOUN
bracis-19058	10	12	lower	low	ADJ
bracis-19058	10	13	mean	mean	ADJ
bracis-19058	10	14	absolute	absolute	ADJ
bracis-19058	10	15	error	error	NOUN
bracis-19058	10	16	.	.	PUNCT
bracis-19058	11	1	we	we	PRON
bracis-19058	11	2	demonstrate	demonstrate	VERB
bracis-19058	11	3	empirically	empirically	ADV
bracis-19058	11	4	that	that	SCONJ
bracis-19058	11	5	this	this	DET
bracis-19058	11	6	error	error	NOUN
bracis-19058	11	7	reduction	reduction	NOUN
bracis-19058	11	8	is	be	AUX
bracis-19058	11	9	in	in	ADP
bracis-19058	11	10	part	part	NOUN
bracis-19058	11	11	due	due	ADP
bracis-19058	11	12	to	to	ADP
bracis-19058	11	13	the	the	DET
bracis-19058	11	14	use	use	NOUN
bracis-19058	11	15	of	of	ADP
bracis-19058	11	16	the	the	DET
bracis-19058	11	17	pce	pce	PROPN
bracis-19058	11	18	.	.	PUNCT
bracis-19058	12	1	last	last	ADJ
bracis-19058	12	2	,	,	PUNCT
bracis-19058	12	3	we	we	PRON
bracis-19058	12	4	use	use	VERB
bracis-19058	12	5	the	the	DET
bracis-19058	12	6	two	two	NUM
bracis-19058	12	7	datasets	dataset	NOUN
bracis-19058	12	8	(	(	PUNCT
bracis-19058	12	9	ppg	ppg	PROPN
bracis-19058	12	10	-	-	PUNCT
bracis-19058	12	11	dalia	dalia	PROPN
bracis-19058	12	12	,	,	PUNCT
bracis-19058	12	13	wesad	wesad	NOUN
bracis-19058	12	14	)	)	PUNCT
bracis-19058	12	15	to	to	PART
bracis-19058	12	16	show	show	VERB
bracis-19058	12	17	that	that	SCONJ
bracis-19058	12	18	pce	pce	PROPN
bracis-19058	12	19	-	-	NOUN
bracis-19058	12	20	lstm	lstm	NOUN
bracis-19058	12	21	can	can	AUX
bracis-19058	12	22	also	also	ADV
bracis-19058	12	23	be	be	AUX
bracis-19058	12	24	successfully	successfully	ADV
bracis-19058	12	25	applied	apply	VERB
bracis-19058	12	26	when	when	SCONJ
bracis-19058	12	27	photoplethysmography	photoplethysmography	NOUN
bracis-19058	12	28	(	(	PUNCT
bracis-19058	12	29	ppg	ppg	ADJ
bracis-19058	12	30	)	)	PUNCT
bracis-19058	12	31	sensors	sensor	NOUN
bracis-19058	12	32	are	be	AUX
bracis-19058	12	33	available	available	ADJ
bracis-19058	12	34	,	,	PUNCT
bracis-19058	12	35	outperforming	outperform	VERB
bracis-19058	12	36	the	the	DET
bracis-19058	12	37	state	state	NOUN
bracis-19058	12	38	-	-	PUNCT
bracis-19058	12	39	of	of	ADP
bracis-19058	12	40	-	-	PUNCT
bracis-19058	12	41	the	the	DET
bracis-19058	12	42	-	-	PUNCT
bracis-19058	12	43	art	art	NOUN
bracis-19058	12	44	deep	deep	ADJ
bracis-19058	12	45	learning	learning	NOUN
bracis-19058	12	46	baselines	baseline	NOUN
bracis-19058	12	47	by	by	ADP
bracis-19058	12	48	more	more	ADJ
bracis-19058	12	49	than	than	ADP
bracis-19058	12	50	30	30	NUM
bracis-19058	12	51	%	%	NOUN
bracis-19058	12	52	.	.	PUNCT
bracis-19058	13	1	access	access	NOUN
bracis-19058	13	2	provided	provide	VERB
bracis-19058	13	3	by	by	ADP
bracis-19058	13	4	university	university	PROPN
bracis-19058	13	5	of	of	ADP
bracis-19058	13	6	notre	notre	PROPN
bracis-19058	13	7	dame	dame	PROPN
bracis-19058	13	8	hesburgh	hesburgh	PROPN
bracis-19058	13	9	library	library	PROPN
bracis-19058	13	10	.	.	PUNCT
bracis-19058	14	1	download	download	PROPN
bracis-19058	14	2	conference	conference	NOUN
bracis-19058	14	3	paper	paper	NOUN
bracis-19058	14	4	pdf	pdf	NOUN
bracis-19058	14	5	similar	similar	ADJ
bracis-19058	14	6	content	content	NOUN
bracis-19058	14	7	being	be	AUX
bracis-19058	14	8	viewed	view	VERB
bracis-19058	14	9	by	by	ADP
bracis-19058	14	10	others	other	NOUN
bracis-19058	14	11	a	a	DET
bracis-19058	14	12	new	new	ADJ
bracis-19058	14	13	approach	approach	NOUN
bracis-19058	14	14	to	to	ADP
bracis-19058	14	15	hr	hr	NOUN
bracis-19058	14	16	monitoring	monitoring	NOUN
bracis-19058	14	17	using	use	VERB
bracis-19058	14	18	photoplethysmographic	photoplethysmographic	ADJ
bracis-19058	14	19	signals	signal	NOUN
bracis-19058	14	20	during	during	ADP
bracis-19058	14	21	intensive	intensive	ADJ
bracis-19058	14	22	physical	physical	ADJ
bracis-19058	14	23	exercise	exercise	NOUN
bracis-19058	14	24	article	article	NOUN
bracis-19058	14	25	30	30	NUM
bracis-19058	14	26	april	april	PROPN
bracis-19058	14	27	2021	2021	NUM
bracis-19058	14	28	a	a	DET
bracis-19058	14	29	comparative	comparative	ADJ
bracis-19058	14	30	analysis	analysis	NOUN
bracis-19058	14	31	on	on	ADP
bracis-19058	14	32	sensor	sensor	NOUN
bracis-19058	14	33	-	-	PUNCT
bracis-19058	14	34	based	base	VERB
bracis-19058	14	35	human	human	ADJ
bracis-19058	14	36	activity	activity	NOUN
bracis-19058	14	37	recognition	recognition	NOUN
bracis-19058	14	38	using	use	VERB
bracis-19058	14	39	various	various	ADJ
bracis-19058	14	40	deep	deep	ADJ
bracis-19058	14	41	learning	learning	NOUN
bracis-19058	14	42	techniques	technique	NOUN
bracis-19058	14	43	chapter	chapter	NOUN
bracis-19058	14	44	©	©	PROPN
bracis-19058	14	45	2021	2021	NUM
bracis-19058	14	46	a	a	DET
bracis-19058	14	47	motion	motion	NOUN
bracis-19058	14	48	heart	heart	NOUN
bracis-19058	14	49	-	-	PUNCT
bracis-19058	14	50	rate	rate	NOUN
bracis-19058	14	51	monitor	monitor	NOUN
bracis-19058	14	52	watch	watch	NOUN
bracis-19058	14	53	with	with	ADP
bracis-19058	14	54	improved	improved	ADJ
bracis-19058	14	55	grey	grey	PROPN
bracis-19058	14	56	differential	differential	NOUN
bracis-19058	14	57	equation	equation	NOUN
bracis-19058	14	58	model	model	NOUN
bracis-19058	14	59	based	base	VERB
bracis-19058	14	60	on	on	ADP
bracis-19058	14	61	reflective	reflective	ADJ
bracis-19058	14	62	photoplethysmography	photoplethysmography	NOUN
bracis-19058	14	63	article	article	NOUN
bracis-19058	14	64	20	20	NUM
bracis-19058	14	65	june	june	PROPN
bracis-19058	14	66	2017	2017	NUM
bracis-19058	14	67	explore	explore	VERB
bracis-19058	14	68	related	relate	VERB
bracis-19058	14	69	subjects	subject	NOUN
bracis-19058	14	70	discover	discover	VERB
bracis-19058	14	71	the	the	DET
bracis-19058	14	72	latest	late	ADJ
bracis-19058	14	73	articles	article	NOUN
bracis-19058	14	74	,	,	PUNCT
bracis-19058	14	75	books	book	NOUN
bracis-19058	14	76	and	and	CCONJ
bracis-19058	14	77	news	news	NOUN
bracis-19058	14	78	in	in	ADP
bracis-19058	14	79	related	related	ADJ
bracis-19058	14	80	subjects	subject	NOUN
bracis-19058	14	81	,	,	PUNCT
bracis-19058	14	82	suggested	suggest	VERB
bracis-19058	14	83	using	use	VERB
bracis-19058	14	84	machine	machine	NOUN
bracis-19058	14	85	learning	learning	NOUN
bracis-19058	14	86	.	.	PUNCT
bracis-19058	15	1	neural	neural	ADJ
bracis-19058	15	2	encoding	encoding	NOUN
bracis-19058	15	3	neural	neural	ADJ
bracis-19058	15	4	decoding	decode	VERB
bracis-19058	15	5	physiological	physiological	ADJ
bracis-19058	15	6	psychology	psychology	NOUN
bracis-19058	15	7	predictive	predictive	ADJ
bracis-19058	15	8	medicine	medicine	NOUN
bracis-19058	15	9	predictive	predictive	PROPN
bracis-19058	15	10	markers	marker	NOUN
bracis-19058	15	11	sport	sport	NOUN
bracis-19058	15	12	training	train	VERB
bracis-19058	15	13	1	1	NUM
bracis-19058	15	14	introduction	introduction	NOUN
bracis-19058	15	15	in	in	ADP
bracis-19058	15	16	the	the	DET
bracis-19058	15	17	recent	recent	ADJ
bracis-19058	15	18	years	year	NOUN
bracis-19058	15	19	there	there	PRON
bracis-19058	15	20	has	have	AUX
bracis-19058	15	21	been	be	AUX
bracis-19058	15	22	an	an	DET
bracis-19058	15	23	ever	ever	ADV
bracis-19058	15	24	increasing	increase	VERB
bracis-19058	15	25	usage	usage	NOUN
bracis-19058	15	26	of	of	ADP
bracis-19058	15	27	sensor	sensor	NOUN
bracis-19058	15	28	-	-	PUNCT
bracis-19058	15	29	equipped	equip	VERB
bracis-19058	15	30	devices	device	NOUN
bracis-19058	15	31	,	,	PUNCT
bracis-19058	15	32	such	such	ADJ
bracis-19058	15	33	as	as	ADP
bracis-19058	15	34	smartphones	smartphone	NOUN
bracis-19058	15	35	,	,	PUNCT
bracis-19058	15	36	smartwatches	smartwatche	NOUN
bracis-19058	15	37	and	and	CCONJ
bracis-19058	15	38	fitness	fitness	NOUN
bracis-19058	15	39	watches	watch	NOUN
bracis-19058	15	40	.	.	PUNCT
bracis-19058	16	1	these	these	DET
bracis-19058	16	2	sensors	sensor	NOUN
bracis-19058	16	3	can	can	AUX
bracis-19058	16	4	be	be	AUX
bracis-19058	16	5	used	use	VERB
bracis-19058	16	6	to	to	PART
bracis-19058	16	7	track	track	VERB
bracis-19058	16	8	user	user	NOUN
bracis-19058	16	9	behavior	behavior	NOUN
bracis-19058	16	10	and	and	CCONJ
bracis-19058	16	11	health	health	NOUN
bracis-19058	16	12	-	-	PUNCT
bracis-19058	16	13	related	relate	VERB
bracis-19058	16	14	measurements	measurement	NOUN
bracis-19058	16	15	.	.	PUNCT
bracis-19058	17	1	among	among	ADP
bracis-19058	17	2	the	the	DET
bracis-19058	17	3	most	most	ADV
bracis-19058	17	4	common	common	ADJ
bracis-19058	17	5	types	type	NOUN
bracis-19058	17	6	are	be	AUX
bracis-19058	17	7	the	the	DET
bracis-19058	17	8	inertial	inertial	ADJ
bracis-19058	17	9	measurement	measurement	NOUN
bracis-19058	17	10	units	unit	NOUN
bracis-19058	17	11	(	(	PUNCT
bracis-19058	17	12	imu	imu	NOUN
bracis-19058	17	13	)	)	PUNCT
bracis-19058	17	14	,	,	PUNCT
bracis-19058	17	15	composed	compose	VERB
bracis-19058	17	16	primarily	primarily	ADV
bracis-19058	17	17	of	of	ADP
bracis-19058	17	18	accelerometers	accelerometer	NOUN
bracis-19058	17	19	and	and	CCONJ
bracis-19058	17	20	gyroscopes.the	gyroscopes.the	DET
bracis-19058	17	21	use	use	NOUN
bracis-19058	17	22	of	of	ADP
bracis-19058	17	23	photoplethysmography	photoplethysmography	NOUN
bracis-19058	17	24	(	(	PUNCT
bracis-19058	17	25	ppg	ppg	NOUN
bracis-19058	17	26	)	)	PUNCT
bracis-19058	17	27	sensors	sensor	NOUN
bracis-19058	17	28	to	to	PART
bracis-19058	17	29	track	track	VERB
bracis-19058	17	30	heart	heart	NOUN
bracis-19058	17	31	rate	rate	NOUN
bracis-19058	17	32	(	(	PUNCT
bracis-19058	17	33	hr	hr	NOUN
bracis-19058	17	34	)	)	PUNCT
bracis-19058	17	35	is	be	AUX
bracis-19058	17	36	also	also	ADV
bracis-19058	17	37	becoming	become	VERB
bracis-19058	17	38	ubiquitous	ubiquitous	ADJ
bracis-19058	17	39	,	,	PUNCT
bracis-19058	17	40	especially	especially	ADV
bracis-19058	17	41	in	in	ADP
bracis-19058	17	42	devices	device	NOUN
bracis-19058	17	43	targeting	target	VERB
bracis-19058	17	44	fitness	fitness	NOUN
bracis-19058	17	45	conscious	conscious	ADJ
bracis-19058	17	46	consumers	consumer	NOUN
bracis-19058	17	47	,	,	PUNCT
bracis-19058	17	48	such	such	ADJ
bracis-19058	17	49	as	as	ADP
bracis-19058	17	50	the	the	DET
bracis-19058	17	51	apple	apple	NOUN
bracis-19058	17	52	watch	watch	NOUN
bracis-19058	17	53	,	,	PUNCT
bracis-19058	17	54	fitbit	fitbit	NOUN
bracis-19058	17	55	and	and	CCONJ
bracis-19058	17	56	samsung	samsung	PROPN
bracis-19058	17	57	simband	simband	PROPN
bracis-19058	17	58	 	 	SPACE
bracis-19058	18	1	[	[	X
bracis-19058	18	2	1	1	NUM
bracis-19058	18	3	]	]	PUNCT
bracis-19058	18	4	.	.	PUNCT
bracis-19058	19	1	to	to	PART
bracis-19058	19	2	promote	promote	VERB
bracis-19058	19	3	an	an	DET
bracis-19058	19	4	effective	effective	ADJ
bracis-19058	19	5	fitness	fitness	NOUN
bracis-19058	19	6	training	training	NOUN
bracis-19058	19	7	,	,	PUNCT
bracis-19058	19	8	it	it	PRON
bracis-19058	19	9	is	be	AUX
bracis-19058	19	10	necessary	necessary	ADJ
bracis-19058	19	11	to	to	PART
bracis-19058	19	12	induce	induce	VERB
bracis-19058	19	13	an	an	DET
bracis-19058	19	14	optimal	optimal	ADJ
bracis-19058	19	15	cardiovascular	cardiovascular	ADJ
bracis-19058	19	16	response	response	NOUN
bracis-19058	19	17	,	,	PUNCT
bracis-19058	19	18	making	make	VERB
bracis-19058	19	19	it	it	PRON
bracis-19058	19	20	essential	essential	ADJ
bracis-19058	19	21	to	to	PART
bracis-19058	19	22	model	model	VERB
bracis-19058	19	23	and	and	CCONJ
bracis-19058	19	24	predict	predict	VERB
bracis-19058	19	25	individual	individual	ADJ
bracis-19058	19	26	hr	hr	NOUN
bracis-19058	19	27	responses	response	NOUN
bracis-19058	19	28	 	 	SPACE
bracis-19058	20	1	[	[	X
bracis-19058	20	2	2	2	NUM
bracis-19058	20	3	]	]	PUNCT
bracis-19058	20	4	.	.	PUNCT
bracis-19058	21	1	several	several	ADJ
bracis-19058	21	2	methods	method	NOUN
bracis-19058	21	3	have	have	AUX
bracis-19058	21	4	been	be	AUX
bracis-19058	21	5	designed	design	VERB
bracis-19058	21	6	to	to	PART
bracis-19058	21	7	predict	predict	VERB
bracis-19058	21	8	the	the	DET
bracis-19058	21	9	hr	hr	NOUN
bracis-19058	21	10	under	under	ADP
bracis-19058	21	11	the	the	DET
bracis-19058	21	12	influence	influence	NOUN
bracis-19058	21	13	of	of	ADP
bracis-19058	21	14	physical	physical	ADJ
bracis-19058	21	15	activity	activity	NOUN
bracis-19058	21	16	.	.	PUNCT
bracis-19058	22	1	most	most	ADJ
bracis-19058	22	2	of	of	ADP
bracis-19058	22	3	them	they	PRON
bracis-19058	22	4	are	be	AUX
bracis-19058	22	5	based	base	VERB
bracis-19058	22	6	on	on	ADP
bracis-19058	22	7	differential	differential	ADJ
bracis-19058	22	8	equations	equation	NOUN
bracis-19058	22	9	 	 	SPACE
bracis-19058	23	1	[	[	X
bracis-19058	23	2	3	3	NUM
bracis-19058	23	3	,	,	PUNCT
bracis-19058	23	4	4	4	NUM
bracis-19058	23	5	]	]	PUNCT
bracis-19058	23	6	,	,	PUNCT
bracis-19058	23	7	hammerstein	hammerstein	PROPN
bracis-19058	23	8	and	and	CCONJ
bracis-19058	23	9	wiener	wiener	NOUN
bracis-19058	23	10	models	model	NOUN
bracis-19058	23	11	[	[	X
bracis-19058	23	12	5	5	NUM
bracis-19058	23	13	]	]	PUNCT
bracis-19058	23	14	or	or	CCONJ
bracis-19058	23	15	neural	neural	ADJ
bracis-19058	23	16	networks	network	NOUN
bracis-19058	23	17	.	.	PUNCT
bracis-19058	24	1	among	among	ADP
bracis-19058	24	2	the	the	DET
bracis-19058	24	3	latter	latter	ADJ
bracis-19058	24	4	,	,	PUNCT
bracis-19058	24	5	some	some	PRON
bracis-19058	24	6	predict	predict	VERB
bracis-19058	24	7	many	many	ADJ
bracis-19058	24	8	steps	step	NOUN
bracis-19058	24	9	into	into	ADP
bracis-19058	24	10	the	the	DET
bracis-19058	24	11	future	future	NOUN
bracis-19058	24	12	[	[	X
bracis-19058	24	13	6	6	NUM
bracis-19058	24	14	,	,	PUNCT
bracis-19058	24	15	7	7	NUM
bracis-19058	24	16	]	]	PUNCT
bracis-19058	24	17	,	,	PUNCT
bracis-19058	24	18	and	and	CCONJ
bracis-19058	24	19	others	other	NOUN
bracis-19058	24	20	use	use	VERB
bracis-19058	24	21	imu	imu	NOUN
bracis-19058	24	22	signals	signal	NOUN
bracis-19058	24	23	as	as	ADP
bracis-19058	24	24	input	input	NOUN
bracis-19058	24	25	 	 	SPACE
bracis-19058	25	1	[	[	X
bracis-19058	25	2	7	7	NUM
bracis-19058	25	3	,	,	PUNCT
bracis-19058	25	4	8	8	NUM
bracis-19058	25	5	]	]	PUNCT
bracis-19058	25	6	but	but	CCONJ
bracis-19058	25	7	only	only	ADV
bracis-19058	25	8	the	the	DET
bracis-19058	25	9	model	model	NOUN
bracis-19058	25	10	proposed	propose	VERB
bracis-19058	25	11	in	in	ADP
bracis-19058	25	12	[	[	X
bracis-19058	25	13	7	7	NUM
bracis-19058	25	14	]	]	X
bracis-19058	25	15	does	do	VERB
bracis-19058	25	16	both	both	PRON
bracis-19058	25	17	,	,	PUNCT
bracis-19058	25	18	to	to	ADP
bracis-19058	25	19	the	the	DET
bracis-19058	25	20	best	good	ADJ
bracis-19058	25	21	of	of	ADP
bracis-19058	25	22	our	our	PRON
bracis-19058	25	23	knowledge	knowledge	NOUN
bracis-19058	25	24	.	.	PUNCT
bracis-19058	26	1	despite	despite	SCONJ
bracis-19058	26	2	the	the	DET
bracis-19058	26	3	recent	recent	ADJ
bracis-19058	26	4	advances	advance	NOUN
bracis-19058	26	5	in	in	ADP
bracis-19058	26	6	neural	neural	ADJ
bracis-19058	26	7	networks	network	NOUN
bracis-19058	26	8	,	,	PUNCT
bracis-19058	26	9	the	the	DET
bracis-19058	26	10	problem	problem	NOUN
bracis-19058	26	11	of	of	ADP
bracis-19058	26	12	multi	multi	ADJ
bracis-19058	26	13	-	-	ADJ
bracis-19058	26	14	step	step	ADJ
bracis-19058	26	15	hr	hr	NOUN
bracis-19058	26	16	estimation	estimation	NOUN
bracis-19058	26	17	from	from	ADP
bracis-19058	26	18	imu	imu	NOUN
bracis-19058	26	19	sensor	sensor	NOUN
bracis-19058	26	20	data	datum	NOUN
bracis-19058	26	21	remains	remain	VERB
bracis-19058	26	22	little	little	ADJ
bracis-19058	26	23	explored	explore	VERB
bracis-19058	26	24	.	.	PUNCT
bracis-19058	27	1	in	in	ADP
bracis-19058	27	2	this	this	DET
bracis-19058	27	3	paper	paper	NOUN
bracis-19058	27	4	,	,	PUNCT
bracis-19058	27	5	we	we	PRON
bracis-19058	27	6	investigate	investigate	VERB
bracis-19058	27	7	neural	neural	ADJ
bracis-19058	27	8	architectures	architecture	NOUN
bracis-19058	27	9	that	that	PRON
bracis-19058	27	10	could	could	AUX
bracis-19058	27	11	be	be	AUX
bracis-19058	27	12	used	use	VERB
bracis-19058	27	13	for	for	ADP
bracis-19058	27	14	this	this	DET
bracis-19058	27	15	task	task	NOUN
bracis-19058	27	16	.	.	PUNCT
bracis-19058	28	1	to	to	PART
bracis-19058	28	2	benchmark	benchmark	VERB
bracis-19058	28	3	our	our	PRON
bracis-19058	28	4	model	model	NOUN
bracis-19058	28	5	,	,	PUNCT
bracis-19058	28	6	in	in	ADP
bracis-19058	28	7	addition	addition	NOUN
bracis-19058	28	8	to	to	ADP
bracis-19058	28	9	using	use	VERB
bracis-19058	28	10	the	the	DET
bracis-19058	28	11	model	model	NOUN
bracis-19058	28	12	from	from	ADP
bracis-19058	28	13	[	[	X
bracis-19058	28	14	7	7	NUM
bracis-19058	28	15	]	]	PUNCT
bracis-19058	28	16	,	,	PUNCT
bracis-19058	28	17	we	we	PRON
bracis-19058	28	18	adapt	adapt	VERB
bracis-19058	28	19	a	a	DET
bracis-19058	28	20	network	network	NOUN
bracis-19058	28	21	proposed	propose	VERB
bracis-19058	28	22	for	for	ADP
bracis-19058	28	23	a	a	DET
bracis-19058	28	24	closely	closely	ADV
bracis-19058	28	25	related	relate	VERB
bracis-19058	28	26	task	task	NOUN
bracis-19058	28	27	called	call	VERB
bracis-19058	28	28	human	human	ADJ
bracis-19058	28	29	activity	activity	NOUN
bracis-19058	28	30	recognition	recognition	NOUN
bracis-19058	28	31	(	(	PUNCT
bracis-19058	28	32	har	har	NOUN
bracis-19058	28	33	)	)	PUNCT
bracis-19058	28	34	,	,	PUNCT
bracis-19058	28	35	where	where	SCONJ
bracis-19058	28	36	the	the	DET
bracis-19058	28	37	goal	goal	NOUN
bracis-19058	28	38	is	be	AUX
bracis-19058	28	39	to	to	PART
bracis-19058	28	40	identify	identify	VERB
bracis-19058	28	41	the	the	DET
bracis-19058	28	42	activity	activity	NOUN
bracis-19058	28	43	being	be	AUX
bracis-19058	28	44	performed	perform	VERB
bracis-19058	28	45	by	by	ADP
bracis-19058	28	46	a	a	DET
bracis-19058	28	47	person	person	NOUN
bracis-19058	28	48	(	(	PUNCT
bracis-19058	28	49	e.g.	e.g.	ADV
bracis-19058	28	50	,	,	PUNCT
bracis-19058	28	51	running	run	VERB
bracis-19058	28	52	,	,	PUNCT
bracis-19058	28	53	walking	walking	NOUN
bracis-19058	28	54	,	,	PUNCT
bracis-19058	28	55	swimming	swimming	NOUN
bracis-19058	28	56	)	)	PUNCT
bracis-19058	28	57	given	give	VERB
bracis-19058	28	58	some	some	DET
bracis-19058	28	59	sensor	sensor	NOUN
bracis-19058	28	60	data	datum	NOUN
bracis-19058	28	61	(	(	PUNCT
bracis-19058	28	62	mostly	mostly	ADV
bracis-19058	28	63	,	,	PUNCT
bracis-19058	28	64	imu	imu	NOUN
bracis-19058	28	65	)	)	PUNCT
bracis-19058	28	66	as	as	ADP
bracis-19058	28	67	input	input	NOUN
bracis-19058	28	68	.	.	PUNCT
bracis-19058	29	1	recurrent	recurrent	ADJ
bracis-19058	29	2	neural	neural	ADJ
bracis-19058	29	3	networks	network	NOUN
bracis-19058	29	4	(	(	PUNCT
bracis-19058	29	5	rnns	rnns	PROPN
bracis-19058	29	6	)	)	PUNCT
bracis-19058	29	7	are	be	AUX
bracis-19058	29	8	widely	widely	ADV
bracis-19058	29	9	used	use	VERB
bracis-19058	29	10	for	for	ADP
bracis-19058	29	11	multi	multi	ADJ
bracis-19058	29	12	-	-	ADJ
bracis-19058	29	13	step	step	NOUN
bracis-19058	29	14	predictions	prediction	NOUN
bracis-19058	29	15	because	because	SCONJ
bracis-19058	29	16	they	they	PRON
bracis-19058	29	17	can	can	AUX
bracis-19058	29	18	carry	carry	VERB
bracis-19058	29	19	information	information	NOUN
bracis-19058	29	20	regarding	regard	VERB
bracis-19058	29	21	the	the	DET
bracis-19058	29	22	“	"	PUNCT
bracis-19058	29	23	hidden	hidden	ADJ
bracis-19058	29	24	”	"	PUNCT
bracis-19058	29	25	state	state	NOUN
bracis-19058	29	26	of	of	ADP
bracis-19058	29	27	a	a	DET
bracis-19058	29	28	sequence	sequence	NOUN
bracis-19058	29	29	through	through	ADP
bracis-19058	29	30	time	time	NOUN
bracis-19058	29	31	as	as	ADP
bracis-19058	29	32	vectors	vector	NOUN
bracis-19058	29	33	.	.	PUNCT
bracis-19058	30	1	although	although	SCONJ
bracis-19058	30	2	the	the	DET
bracis-19058	30	3	performance	performance	NOUN
bracis-19058	30	4	of	of	ADP
bracis-19058	30	5	rnns	rnns	NOUN
bracis-19058	30	6	can	can	AUX
bracis-19058	30	7	be	be	AUX
bracis-19058	30	8	highly	highly	ADV
bracis-19058	30	9	dependent	dependent	ADJ
bracis-19058	30	10	on	on	ADP
bracis-19058	30	11	the	the	DET
bracis-19058	30	12	initialization	initialization	NOUN
bracis-19058	30	13	of	of	ADP
bracis-19058	30	14	these	these	DET
bracis-19058	30	15	vectors	vector	NOUN
bracis-19058	30	16	,	,	PUNCT
bracis-19058	30	17	most	most	ADV
bracis-19058	30	18	often	often	ADV
bracis-19058	30	19	they	they	PRON
bracis-19058	30	20	are	be	AUX
bracis-19058	30	21	simply	simply	ADV
bracis-19058	30	22	set	set	VERB
bracis-19058	30	23	to	to	ADP
bracis-19058	30	24	zero	zero	NUM
bracis-19058	30	25	.	.	PUNCT
bracis-19058	31	1	sometimes	sometimes	ADV
bracis-19058	31	2	,	,	PUNCT
bracis-19058	31	3	the	the	DET
bracis-19058	31	4	rnns	rnn	NOUN
bracis-19058	31	5	are	be	AUX
bracis-19058	31	6	set	set	VERB
bracis-19058	31	7	up	up	ADP
bracis-19058	31	8	so	so	SCONJ
bracis-19058	31	9	that	that	SCONJ
bracis-19058	31	10	the	the	DET
bracis-19058	31	11	state	state	NOUN
bracis-19058	31	12	vectors	vector	NOUN
bracis-19058	31	13	go	go	VERB
bracis-19058	31	14	through	through	ADP
bracis-19058	31	15	some	some	DET
bracis-19058	31	16	iterations	iteration	NOUN
bracis-19058	31	17	(	(	PUNCT
bracis-19058	31	18	washout	washout	NOUN
bracis-19058	31	19	period	period	NOUN
bracis-19058	31	20	)	)	PUNCT
bracis-19058	31	21	before	before	SCONJ
bracis-19058	31	22	the	the	DET
bracis-19058	31	23	first	first	ADJ
bracis-19058	31	24	prediction	prediction	NOUN
bracis-19058	31	25	can	can	AUX
bracis-19058	31	26	be	be	AUX
bracis-19058	31	27	returned	return	VERB
bracis-19058	31	28	.	.	PUNCT
bracis-19058	32	1	in	in	ADP
bracis-19058	32	2	the	the	DET
bracis-19058	32	3	context	context	NOUN
bracis-19058	32	4	of	of	ADP
bracis-19058	32	5	aerial	aerial	ADJ
bracis-19058	32	6	vehicle	vehicle	NOUN
bracis-19058	32	7	dynamics	dynamic	NOUN
bracis-19058	32	8	,	,	PUNCT
bracis-19058	32	9	[	[	X
bracis-19058	32	10	9	9	NUM
bracis-19058	32	11	]	]	PUNCT
bracis-19058	32	12	proposes	propose	VERB
bracis-19058	32	13	an	an	DET
bracis-19058	32	14	approach	approach	NOUN
bracis-19058	32	15	to	to	PART
bracis-19058	32	16	initialize	initialize	VERB
bracis-19058	32	17	these	these	DET
bracis-19058	32	18	vectors	vector	NOUN
bracis-19058	32	19	by	by	ADP
bracis-19058	32	20	using	use	VERB
bracis-19058	32	21	features	feature	NOUN
bracis-19058	32	22	and	and	CCONJ
bracis-19058	32	23	labels	label	NOUN
bracis-19058	32	24	from	from	ADP
bracis-19058	32	25	a	a	DET
bracis-19058	32	26	previous	previous	ADJ
bracis-19058	32	27	interval	interval	NOUN
bracis-19058	32	28	.	.	PUNCT
bracis-19058	33	1	in	in	ADP
bracis-19058	33	2	a	a	DET
bracis-19058	33	3	similar	similar	ADJ
bracis-19058	33	4	spirit	spirit	NOUN
bracis-19058	33	5	,	,	PUNCT
bracis-19058	33	6	based	base	VERB
bracis-19058	33	7	on	on	ADP
bracis-19058	33	8	the	the	DET
bracis-19058	33	9	premise	premise	NOUN
bracis-19058	33	10	that	that	SCONJ
bracis-19058	33	11	different	different	ADJ
bracis-19058	33	12	subjects	subject	NOUN
bracis-19058	33	13	will	will	AUX
bracis-19058	33	14	display	display	VERB
bracis-19058	33	15	different	different	ADJ
bracis-19058	33	16	hr	hr	NOUN
bracis-19058	33	17	levels	level	NOUN
bracis-19058	33	18	when	when	SCONJ
bracis-19058	33	19	performing	perform	VERB
bracis-19058	33	20	the	the	DET
bracis-19058	33	21	same	same	ADJ
bracis-19058	33	22	exercises	exercise	NOUN
bracis-19058	33	23	depending	depend	VERB
bracis-19058	33	24	on	on	ADP
bracis-19058	33	25	their	their	PRON
bracis-19058	33	26	physical	physical	ADJ
bracis-19058	33	27	conditioning	conditioning	NOUN
bracis-19058	33	28	,	,	PUNCT
bracis-19058	33	29	we	we	PRON
bracis-19058	33	30	propose	propose	VERB
bracis-19058	33	31	a	a	DET
bracis-19058	33	32	novel	novel	ADJ
bracis-19058	33	33	neural	neural	ADJ
bracis-19058	33	34	architecture	architecture	NOUN
bracis-19058	33	35	that	that	PRON
bracis-19058	33	36	attempts	attempt	VERB
bracis-19058	33	37	to	to	PART
bracis-19058	33	38	encode	encode	VERB
bracis-19058	33	39	that	that	DET
bracis-19058	33	40	attribute	attribute	NOUN
bracis-19058	33	41	given	give	VERB
bracis-19058	33	42	imu	imu	NOUN
bracis-19058	33	43	and	and	CCONJ
bracis-19058	33	44	hr	hr	NOUN
bracis-19058	33	45	data	datum	NOUN
bracis-19058	33	46	collected	collect	VERB
bracis-19058	33	47	from	from	ADP
bracis-19058	33	48	a	a	DET
bracis-19058	33	49	previous	previous	ADJ
bracis-19058	33	50	,	,	PUNCT
bracis-19058	33	51	short	short	ADV
bracis-19058	33	52	-	-	PUNCT
bracis-19058	33	53	lived	live	VERB
bracis-19058	33	54	,	,	PUNCT
bracis-19058	33	55	activity	activity	NOUN
bracis-19058	33	56	performed	perform	VERB
bracis-19058	33	57	by	by	ADP
bracis-19058	33	58	an	an	DET
bracis-19058	33	59	individual	individual	NOUN
bracis-19058	33	60	.	.	PUNCT
bracis-19058	34	1	this	this	DET
bracis-19058	34	2	attribute	attribute	NOUN
bracis-19058	34	3	is	be	AUX
bracis-19058	34	4	extracted	extract	VERB
bracis-19058	34	5	by	by	ADP
bracis-19058	34	6	a	a	DET
bracis-19058	34	7	cnn	cnn	PROPN
bracis-19058	34	8	network	network	NOUN
bracis-19058	34	9	as	as	ADP
bracis-19058	34	10	a	a	DET
bracis-19058	34	11	vector	vector	NOUN
bracis-19058	34	12	dubbed	dub	VERB
bracis-19058	34	13	physical	physical	ADJ
bracis-19058	34	14	conditioning	conditioning	NOUN
bracis-19058	34	15	embedding	embed	VERB
bracis-19058	34	16	(	(	PUNCT
bracis-19058	34	17	pce	pce	PROPN
bracis-19058	34	18	)	)	PUNCT
bracis-19058	34	19	.	.	PUNCT
bracis-19058	35	1	the	the	DET
bracis-19058	35	2	pce	pce	PROPN
bracis-19058	35	3	is	be	AUX
bracis-19058	35	4	used	use	VERB
bracis-19058	35	5	,	,	PUNCT
bracis-19058	35	6	in	in	ADP
bracis-19058	35	7	turn	turn	NOUN
bracis-19058	35	8	,	,	PUNCT
bracis-19058	35	9	to	to	PART
bracis-19058	35	10	set	set	VERB
bracis-19058	35	11	the	the	DET
bracis-19058	35	12	initial	initial	ADJ
bracis-19058	35	13	values	value	NOUN
bracis-19058	35	14	of	of	ADP
bracis-19058	35	15	the	the	DET
bracis-19058	35	16	hidden	hide	VERB
bracis-19058	35	17	and	and	CCONJ
bracis-19058	35	18	cell	cell	NOUN
bracis-19058	35	19	states	state	NOUN
bracis-19058	35	20	of	of	ADP
bracis-19058	35	21	an	an	DET
bracis-19058	35	22	lstm	lstm	NOUN
bracis-19058	35	23	responsible	responsible	ADJ
bracis-19058	35	24	for	for	ADP
bracis-19058	35	25	outputting	output	VERB
bracis-19058	35	26	the	the	DET
bracis-19058	35	27	hr	hr	NOUN
bracis-19058	35	28	predictions	prediction	NOUN
bracis-19058	35	29	.	.	PUNCT
bracis-19058	36	1	our	our	PRON
bracis-19058	36	2	proposed	propose	VERB
bracis-19058	36	3	method	method	NOUN
bracis-19058	36	4	,	,	PUNCT
bracis-19058	36	5	pce	pce	NOUN
bracis-19058	36	6	-	-	NOUN
bracis-19058	36	7	lstm	lstm	PROPN
bracis-19058	36	8	,	,	PUNCT
bracis-19058	36	9	differs	differ	VERB
bracis-19058	36	10	from	from	ADP
bracis-19058	36	11	[	[	X
bracis-19058	36	12	9	9	NUM
bracis-19058	36	13	]	]	PUNCT
bracis-19058	36	14	in	in	ADP
bracis-19058	36	15	several	several	ADJ
bracis-19058	36	16	ways	way	NOUN
bracis-19058	36	17	,	,	PUNCT
bracis-19058	36	18	markedly	markedly	ADV
bracis-19058	36	19	,	,	PUNCT
bracis-19058	36	20	(	(	PUNCT
bracis-19058	36	21	i	i	NOUN
bracis-19058	36	22	)	)	PUNCT
bracis-19058	36	23	it	it	PRON
bracis-19058	36	24	uses	use	VERB
bracis-19058	36	25	a	a	DET
bracis-19058	36	26	discriminator	discriminator	NOUN
bracis-19058	36	27	to	to	PART
bracis-19058	36	28	improve	improve	VERB
bracis-19058	36	29	the	the	DET
bracis-19058	36	30	ability	ability	NOUN
bracis-19058	36	31	of	of	ADP
bracis-19058	36	32	the	the	DET
bracis-19058	36	33	network	network	NOUN
bracis-19058	36	34	to	to	PART
bracis-19058	36	35	capture	capture	VERB
bracis-19058	36	36	the	the	DET
bracis-19058	36	37	inherent	inherent	ADJ
bracis-19058	36	38	characteristics	characteristic	NOUN
bracis-19058	36	39	of	of	ADP
bracis-19058	36	40	the	the	DET
bracis-19058	36	41	subjects	subject	NOUN
bracis-19058	36	42	based	base	VERB
bracis-19058	36	43	on	on	ADP
bracis-19058	36	44	previous	previous	ADJ
bracis-19058	36	45	activities	activity	NOUN
bracis-19058	36	46	and	and	CCONJ
bracis-19058	36	47	(	(	PUNCT
bracis-19058	36	48	ii	ii	NOUN
bracis-19058	36	49	)	)	PUNCT
bracis-19058	36	50	it	it	PRON
bracis-19058	36	51	is	be	AUX
bracis-19058	36	52	able	able	ADJ
bracis-19058	36	53	to	to	PART
bracis-19058	36	54	improve	improve	VERB
bracis-19058	36	55	predictions	prediction	NOUN
bracis-19058	36	56	over	over	ADP
bracis-19058	36	57	windows	window	NOUN
bracis-19058	36	58	of	of	ADP
bracis-19058	36	59	up	up	ADV
bracis-19058	36	60	 	 	SPACE
bracis-19058	36	61	to	to	ADP
bracis-19058	36	62	2	2	NUM
bracis-19058	36	63	 	 	SPACE
bracis-19058	36	64	h.	h.	NOUN
bracis-19058	36	65	this	this	PRON
bracis-19058	36	66	corroborates	corroborate	VERB
bracis-19058	36	67	the	the	DET
bracis-19058	36	68	idea	idea	NOUN
bracis-19058	36	69	that	that	SCONJ
bracis-19058	36	70	pce	pce	PROPN
bracis-19058	36	71	-	-	NOUN
bracis-19058	36	72	lstm	lstm	PROPN
bracis-19058	36	73	is	be	AUX
bracis-19058	36	74	encoding	encode	VERB
bracis-19058	36	75	physical	physical	ADJ
bracis-19058	36	76	conditioning	conditioning	NOUN
bracis-19058	36	77	,	,	PUNCT
bracis-19058	36	78	rather	rather	ADV
bracis-19058	36	79	than	than	ADP
bracis-19058	36	80	information	information	NOUN
bracis-19058	36	81	about	about	ADP
bracis-19058	36	82	specific	specific	ADJ
bracis-19058	36	83	physical	physical	ADJ
bracis-19058	36	84	activities	activity	NOUN
bracis-19058	36	85	.	.	PUNCT
bracis-19058	37	1	although	although	SCONJ
bracis-19058	37	2	ppg	ppg	ADJ
bracis-19058	37	3	sensors	sensor	NOUN
bracis-19058	37	4	for	for	ADP
bracis-19058	37	5	tracking	track	VERB
bracis-19058	37	6	hr	hr	NOUN
bracis-19058	37	7	are	be	AUX
bracis-19058	37	8	becoming	become	VERB
bracis-19058	37	9	more	more	ADV
bracis-19058	37	10	common	common	ADJ
bracis-19058	37	11	,	,	PUNCT
bracis-19058	37	12	they	they	PRON
bracis-19058	37	13	are	be	AUX
bracis-19058	37	14	prone	prone	ADJ
bracis-19058	37	15	to	to	ADP
bracis-19058	37	16	measurement	measurement	VERB
bracis-19058	37	17	errors	error	NOUN
bracis-19058	37	18	due	due	ADP
bracis-19058	37	19	to	to	ADP
bracis-19058	37	20	motion	motion	NOUN
bracis-19058	37	21	-	-	PUNCT
bracis-19058	37	22	related	relate	VERB
bracis-19058	37	23	artifacts	artifact	NOUN
bracis-19058	37	24	.	.	PUNCT
bracis-19058	38	1	in	in	ADP
bracis-19058	38	2	this	this	DET
bracis-19058	38	3	case	case	NOUN
bracis-19058	38	4	,	,	PUNCT
bracis-19058	38	5	data	datum	NOUN
bracis-19058	38	6	from	from	ADP
bracis-19058	38	7	other	other	ADJ
bracis-19058	38	8	sensors	sensor	NOUN
bracis-19058	38	9	can	can	AUX
bracis-19058	38	10	be	be	AUX
bracis-19058	38	11	used	use	VERB
bracis-19058	38	12	to	to	PART
bracis-19058	38	13	correct	correct	VERB
bracis-19058	38	14	the	the	DET
bracis-19058	38	15	hr	hr	NOUN
bracis-19058	38	16	measurements	measurement	NOUN
bracis-19058	38	17	.	.	PUNCT
bracis-19058	39	1	this	this	DET
bracis-19058	39	2	task	task	NOUN
bracis-19058	39	3	,	,	PUNCT
bracis-19058	39	4	called	call	VERB
bracis-19058	39	5	ppg	ppg	NOUN
bracis-19058	39	6	-	-	PUNCT
bracis-19058	39	7	based	base	VERB
bracis-19058	39	8	hr	hr	NOUN
bracis-19058	39	9	estimation	estimation	NOUN
bracis-19058	39	10	,	,	PUNCT
bracis-19058	39	11	has	have	AUX
bracis-19058	39	12	been	be	AUX
bracis-19058	39	13	explored	explore	VERB
bracis-19058	39	14	in	in	ADP
bracis-19058	39	15	 	 	SPACE
bracis-19058	39	16	[	[	X
bracis-19058	39	17	1	1	NUM
bracis-19058	39	18	,	,	PUNCT
bracis-19058	39	19	10	10	NUM
bracis-19058	39	20	,	,	PUNCT
bracis-19058	39	21	11	11	NUM
bracis-19058	39	22	]	]	PUNCT
bracis-19058	39	23	.	.	PUNCT
bracis-19058	40	1	to	to	PART
bracis-19058	40	2	show	show	VERB
bracis-19058	40	3	that	that	SCONJ
bracis-19058	40	4	the	the	DET
bracis-19058	40	5	proposed	propose	VERB
bracis-19058	40	6	architecture	architecture	NOUN
bracis-19058	40	7	can	can	AUX
bracis-19058	40	8	also	also	ADV
bracis-19058	40	9	be	be	AUX
bracis-19058	40	10	used	use	VERB
bracis-19058	40	11	for	for	ADP
bracis-19058	40	12	this	this	DET
bracis-19058	40	13	task	task	NOUN
bracis-19058	40	14	,	,	PUNCT
bracis-19058	40	15	we	we	PRON
bracis-19058	40	16	adapt	adapt	VERB
bracis-19058	40	17	pce	pce	NOUN
bracis-19058	40	18	-	-	NOUN
bracis-19058	40	19	lstm	lstm	NOUN
bracis-19058	40	20	to	to	PART
bracis-19058	40	21	incorporate	incorporate	VERB
bracis-19058	40	22	the	the	DET
bracis-19058	40	23	ppg	ppg	NOUN
bracis-19058	40	24	signal	signal	NOUN
bracis-19058	40	25	as	as	ADP
bracis-19058	40	26	an	an	DET
bracis-19058	40	27	additional	additional	ADJ
bracis-19058	40	28	input	input	NOUN
bracis-19058	40	29	and	and	CCONJ
bracis-19058	40	30	show	show	VERB
bracis-19058	40	31	that	that	SCONJ
bracis-19058	40	32	it	it	PRON
bracis-19058	40	33	can	can	AUX
bracis-19058	40	34	also	also	ADV
bracis-19058	40	35	outperform	outperform	VERB
bracis-19058	40	36	the	the	DET
bracis-19058	40	37	state	state	NOUN
bracis-19058	40	38	-	-	PUNCT
bracis-19058	40	39	of	of	ADP
bracis-19058	40	40	-	-	PUNCT
bracis-19058	40	41	the	the	DET
bracis-19058	40	42	-	-	PUNCT
bracis-19058	40	43	art	art	NOUN
bracis-19058	40	44	in	in	ADP
bracis-19058	40	45	this	this	DET
bracis-19058	40	46	task	task	NOUN
bracis-19058	40	47	.	.	PUNCT
bracis-19058	41	1	in	in	ADP
bracis-19058	41	2	sum	sum	NOUN
bracis-19058	41	3	,	,	PUNCT
bracis-19058	41	4	our	our	PRON
bracis-19058	41	5	main	main	ADJ
bracis-19058	41	6	contributions	contribution	NOUN
bracis-19058	41	7	are	be	AUX
bracis-19058	41	8	:	:	PUNCT
bracis-19058	41	9	a	a	DET
bracis-19058	41	10	new	new	ADJ
bracis-19058	41	11	model	model	NOUN
bracis-19058	41	12	to	to	PART
bracis-19058	41	13	predict	predict	VERB
bracis-19058	41	14	the	the	DET
bracis-19058	41	15	hr	hr	NOUN
bracis-19058	41	16	from	from	ADP
bracis-19058	41	17	imu	imu	NOUN
bracis-19058	41	18	-	-	PUNCT
bracis-19058	41	19	sensor	sensor	NOUN
bracis-19058	41	20	signals	signal	NOUN
bracis-19058	41	21	,	,	PUNCT
bracis-19058	41	22	which	which	PRON
bracis-19058	41	23	outperforms	outperform	VERB
bracis-19058	41	24	state	state	NOUN
bracis-19058	41	25	-	-	PUNCT
bracis-19058	41	26	of	of	ADP
bracis-19058	41	27	-	-	PUNCT
bracis-19058	41	28	the	the	DET
bracis-19058	41	29	art	art	NOUN
bracis-19058	41	30	baselines	baseline	NOUN
bracis-19058	41	31	;	;	PUNCT
bracis-19058	41	32	an	an	DET
bracis-19058	41	33	ablation	ablation	NOUN
bracis-19058	41	34	study	study	NOUN
bracis-19058	41	35	on	on	ADP
bracis-19058	41	36	the	the	DET
bracis-19058	41	37	contribution	contribution	NOUN
bracis-19058	41	38	of	of	ADP
bracis-19058	41	39	the	the	DET
bracis-19058	41	40	pce	pce	PROPN
bracis-19058	41	41	subnetwork	subnetwork	NOUN
bracis-19058	41	42	to	to	ADP
bracis-19058	41	43	the	the	DET
bracis-19058	41	44	performance	performance	NOUN
bracis-19058	41	45	of	of	ADP
bracis-19058	41	46	the	the	DET
bracis-19058	41	47	model	model	NOUN
bracis-19058	41	48	;	;	PUNCT
bracis-19058	41	49	a	a	DET
bracis-19058	41	50	demonstration	demonstration	NOUN
bracis-19058	41	51	that	that	PRON
bracis-19058	41	52	pce	pce	PROPN
bracis-19058	41	53	-	-	PUNCT
bracis-19058	41	54	lstm	lstm	PROPN
bracis-19058	41	55	estabilishes	estabilishe	VERB
bracis-19058	41	56	the	the	DET
bracis-19058	41	57	new	new	ADJ
bracis-19058	41	58	deep	deep	ADJ
bracis-19058	41	59	learning	learning	NOUN
bracis-19058	41	60	sota	sota	NOUN
bracis-19058	41	61	of	of	ADP
bracis-19058	41	62	ppg	ppg	NOUN
bracis-19058	41	63	-	-	PUNCT
bracis-19058	41	64	based	base	VERB
bracis-19058	41	65	hr	hr	NOUN
bracis-19058	41	66	estimation.footnote	estimation.footnote	NOUN
bracis-19058	41	67	1	1	NUM
bracis-19058	41	68	outline	outline	NOUN
bracis-19058	41	69	.	.	PUNCT
bracis-19058	42	1	section	section	NOUN
bracis-19058	42	2	 	 	SPACE
bracis-19058	42	3	2	2	NUM
bracis-19058	42	4	describes	describe	VERB
bracis-19058	42	5	datasets	dataset	NOUN
bracis-19058	42	6	and	and	CCONJ
bracis-19058	42	7	pre	pre	ADJ
bracis-19058	42	8	-	-	ADJ
bracis-19058	42	9	processing	processing	NOUN
bracis-19058	42	10	used	use	VERB
bracis-19058	42	11	in	in	ADP
bracis-19058	42	12	this	this	DET
bracis-19058	42	13	work	work	NOUN
bracis-19058	42	14	.	.	PUNCT
bracis-19058	43	1	section	section	NOUN
bracis-19058	43	2	 	 	SPACE
bracis-19058	43	3	3	3	NUM
bracis-19058	43	4	details	detail	NOUN
bracis-19058	43	5	the	the	DET
bracis-19058	43	6	proposed	propose	VERB
bracis-19058	43	7	method	method	NOUN
bracis-19058	43	8	,	,	PUNCT
bracis-19058	43	9	pce	pce	NOUN
bracis-19058	43	10	-	-	NOUN
bracis-19058	43	11	lstm	lstm	PROPN
bracis-19058	43	12	,	,	PUNCT
bracis-19058	43	13	and	and	CCONJ
bracis-19058	43	14	the	the	DET
bracis-19058	43	15	key	key	ADJ
bracis-19058	43	16	hypothesis	hypothesis	NOUN
bracis-19058	43	17	we	we	PRON
bracis-19058	43	18	investigate	investigate	VERB
bracis-19058	43	19	.	.	PUNCT
bracis-19058	44	1	section	section	NOUN
bracis-19058	44	2	 	 	SPACE
bracis-19058	44	3	4	4	NUM
bracis-19058	44	4	discusses	discuss	VERB
bracis-19058	44	5	the	the	DET
bracis-19058	44	6	reference	reference	NOUN
bracis-19058	44	7	methods	method	NOUN
bracis-19058	44	8	for	for	ADP
bracis-19058	44	9	the	the	DET
bracis-19058	44	10	hr	hr	PROPN
bracis-19058	44	11	estimation	estimation	NOUN
bracis-19058	44	12	task	task	PROPN
bracis-19058	44	13	.	.	PUNCT
bracis-19058	45	1	section	section	NOUN
bracis-19058	45	2	 	 	SPACE
bracis-19058	45	3	5	5	NUM
bracis-19058	45	4	presents	present	VERB
bracis-19058	45	5	the	the	DET
bracis-19058	45	6	evaluation	evaluation	NOUN
bracis-19058	45	7	results	result	NOUN
bracis-19058	45	8	.	.	PUNCT
bracis-19058	46	1	the	the	DET
bracis-19058	46	2	related	related	ADJ
bracis-19058	46	3	work	work	NOUN
bracis-19058	46	4	is	be	AUX
bracis-19058	46	5	reviewed	review	VERB
bracis-19058	46	6	in	in	ADP
bracis-19058	46	7	sect	sect	NOUN
bracis-19058	46	8	.	.	PUNCT
bracis-19058	46	9	 	 	SPACE
bracis-19058	47	1	6	6	NUM
bracis-19058	47	2	.	.	PUNCT
bracis-19058	48	1	last	last	ADJ
bracis-19058	48	2	,	,	PUNCT
bracis-19058	48	3	sect	sect	NOUN
bracis-19058	48	4	.	.	PUNCT
bracis-19058	48	5	 	 	SPACE
bracis-19058	48	6	7	7	NUM
bracis-19058	48	7	discusses	discuss	VERB
bracis-19058	48	8	the	the	DET
bracis-19058	48	9	significance	significance	NOUN
bracis-19058	48	10	and	and	CCONJ
bracis-19058	48	11	impact	impact	NOUN
bracis-19058	48	12	of	of	ADP
bracis-19058	48	13	this	this	DET
bracis-19058	48	14	work	work	NOUN
bracis-19058	48	15	.	.	PUNCT
bracis-19058	49	1	2	2	NUM
bracis-19058	49	2	methodology	methodology	NOUN
bracis-19058	49	3	this	this	DET
bracis-19058	49	4	work	work	NOUN
bracis-19058	49	5	addresses	address	VERB
bracis-19058	49	6	the	the	DET
bracis-19058	49	7	problem	problem	NOUN
bracis-19058	49	8	of	of	ADP
bracis-19058	49	9	predicting	predict	VERB
bracis-19058	49	10	the	the	DET
bracis-19058	49	11	heart	heart	NOUN
bracis-19058	49	12	rate	rate	NOUN
bracis-19058	49	13	\(h_t\	\(h_t\	PROPN
bracis-19058	49	14	)	)	PUNCT
bracis-19058	49	15	of	of	ADP
bracis-19058	49	16	an	an	DET
bracis-19058	49	17	individual	individual	NOUN
bracis-19058	49	18	at	at	ADP
bracis-19058	49	19	time	time	NOUN
bracis-19058	49	20	\(t=1,\ldots	\(t=1,\ldot	NOUN
bracis-19058	49	21	\	\	PROPN
bracis-19058	49	22	)	)	PUNCT
bracis-19058	49	23	,	,	PUNCT
bracis-19058	49	24	given	give	VERB
bracis-19058	49	25	imu	imu	NOUN
bracis-19058	49	26	sensor	sensor	NOUN
bracis-19058	49	27	data	datum	NOUN
bracis-19058	49	28	gathered	gather	VERB
bracis-19058	49	29	up	up	ADP
bracis-19058	49	30	 	 	SPACE
bracis-19058	49	31	to	to	ADP
bracis-19058	49	32	time	time	NOUN
bracis-19058	49	33	t	t	PROPN
bracis-19058	49	34	and	and	CCONJ
bracis-19058	49	35	hr	hr	NOUN
bracis-19058	49	36	values	value	NOUN
bracis-19058	49	37	from	from	ADP
bracis-19058	49	38	an	an	DET
bracis-19058	49	39	initial	initial	ADJ
bracis-19058	49	40	,	,	PUNCT
bracis-19058	49	41	short	short	ADJ
bracis-19058	49	42	lived	live	VERB
bracis-19058	49	43	period	period	NOUN
bracis-19058	49	44	,	,	PUNCT
bracis-19058	49	45	\(h_1	\(h_1	PROPN
bracis-19058	49	46	\ldots	\ldot	VERB
bracis-19058	49	47	h_{i}\	h_{i}\	PROPN
bracis-19058	49	48	)	)	PUNCT
bracis-19058	49	49	,	,	PUNCT
bracis-19058	49	50	with	with	ADP
bracis-19058	49	51	\(i	\(i	X
bracis-19058	49	52	<	<	X
bracis-19058	49	53	t\	t\	PROPN
bracis-19058	49	54	)	)	PUNCT
bracis-19058	49	55	.	.	PUNCT
bracis-19058	50	1	we	we	PRON
bracis-19058	50	2	refer	refer	VERB
bracis-19058	50	3	to	to	ADP
bracis-19058	50	4	this	this	DET
bracis-19058	50	5	task	task	NOUN
bracis-19058	50	6	as	as	ADP
bracis-19058	50	7	imu	imu	NOUN
bracis-19058	50	8	-	-	PUNCT
bracis-19058	50	9	based	base	VERB
bracis-19058	50	10	multi	multi	ADJ
bracis-19058	50	11	-	-	ADJ
bracis-19058	50	12	step	step	ADJ
bracis-19058	50	13	hr	hr	NOUN
bracis-19058	50	14	estimation	estimation	NOUN
bracis-19058	50	15	.	.	PUNCT
bracis-19058	51	1	for	for	ADP
bracis-19058	51	2	this	this	DET
bracis-19058	51	3	study	study	NOUN
bracis-19058	51	4	,	,	PUNCT
bracis-19058	51	5	we	we	PRON
bracis-19058	51	6	use	use	VERB
bracis-19058	51	7	the	the	DET
bracis-19058	51	8	pamap2	pamap2	ADJ
bracis-19058	51	9	and	and	CCONJ
bracis-19058	51	10	ppg	ppg	PROPN
bracis-19058	51	11	-	-	PUNCT
bracis-19058	51	12	dalia	dalia	PROPN
bracis-19058	51	13	datasets	dataset	NOUN
bracis-19058	51	14	(	(	PUNCT
bracis-19058	51	15	sect	sect	NOUN
bracis-19058	51	16	.	.	PUNCT
bracis-19058	51	17	 	 	SPACE
bracis-19058	51	18	2.1	2.1	NUM
bracis-19058	51	19	)	)	PUNCT
bracis-19058	51	20	,	,	PUNCT
bracis-19058	51	21	which	which	PRON
bracis-19058	51	22	are	be	AUX
bracis-19058	51	23	among	among	ADP
bracis-19058	51	24	the	the	DET
bracis-19058	51	25	very	very	ADV
bracis-19058	51	26	few	few	ADJ
bracis-19058	51	27	publicly	publicly	ADV
bracis-19058	51	28	available	available	ADJ
bracis-19058	51	29	sets	set	NOUN
bracis-19058	51	30	containing	contain	VERB
bracis-19058	51	31	both	both	PRON
bracis-19058	51	32	imu	imu	NOUN
bracis-19058	51	33	and	and	CCONJ
bracis-19058	51	34	hr	hr	NOUN
bracis-19058	51	35	signals	signal	NOUN
bracis-19058	51	36	from	from	ADP
bracis-19058	51	37	individuals	individual	NOUN
bracis-19058	51	38	performing	perform	VERB
bracis-19058	51	39	a	a	DET
bracis-19058	51	40	variety	variety	NOUN
bracis-19058	51	41	of	of	ADP
bracis-19058	51	42	activities	activity	NOUN
bracis-19058	51	43	.	.	PUNCT
bracis-19058	52	1	ppg	ppg	PROPN
bracis-19058	52	2	-	-	PUNCT
bracis-19058	52	3	dalia	dalia	PROPN
bracis-19058	52	4	also	also	ADV
bracis-19058	52	5	has	have	VERB
bracis-19058	52	6	data	datum	NOUN
bracis-19058	52	7	from	from	ADP
bracis-19058	52	8	ppg	ppg	ADJ
bracis-19058	52	9	sensors	sensor	NOUN
bracis-19058	52	10	,	,	PUNCT
bracis-19058	52	11	which	which	PRON
bracis-19058	52	12	is	be	AUX
bracis-19058	52	13	disregarded	disregard	VERB
bracis-19058	52	14	in	in	ADP
bracis-19058	52	15	this	this	DET
bracis-19058	52	16	first	first	ADJ
bracis-19058	52	17	task	task	NOUN
bracis-19058	52	18	.	.	PUNCT
bracis-19058	53	1	we	we	PRON
bracis-19058	53	2	address	address	VERB
bracis-19058	53	3	the	the	DET
bracis-19058	53	4	case	case	NOUN
bracis-19058	53	5	where	where	SCONJ
bracis-19058	53	6	ppg	ppg	NOUN
bracis-19058	53	7	sensors	sensor	NOUN
bracis-19058	53	8	are	be	AUX
bracis-19058	53	9	available	available	ADJ
bracis-19058	53	10	(	(	PUNCT
bracis-19058	53	11	in	in	ADP
bracis-19058	53	12	addition	addition	NOUN
bracis-19058	53	13	to	to	ADP
bracis-19058	53	14	imu	imu	NOUN
bracis-19058	53	15	)	)	PUNCT
bracis-19058	53	16	as	as	ADP
bracis-19058	53	17	a	a	DET
bracis-19058	53	18	secondary	secondary	ADJ
bracis-19058	53	19	prediction	prediction	NOUN
bracis-19058	53	20	task	task	NOUN
bracis-19058	53	21	,	,	PUNCT
bracis-19058	53	22	referred	refer	VERB
bracis-19058	53	23	as	as	ADP
bracis-19058	53	24	ppg	ppg	NOUN
bracis-19058	53	25	-	-	PUNCT
bracis-19058	53	26	based	base	VERB
bracis-19058	53	27	multi	multi	ADJ
bracis-19058	53	28	-	-	ADJ
bracis-19058	53	29	step	step	ADJ
bracis-19058	53	30	hr	hr	NOUN
bracis-19058	53	31	estimation	estimation	NOUN
bracis-19058	53	32	.	.	PUNCT
bracis-19058	54	1	since	since	SCONJ
bracis-19058	54	2	ppg	ppg	PROPN
bracis-19058	54	3	data	datum	NOUN
bracis-19058	54	4	are	be	AUX
bracis-19058	54	5	hr	hr	NOUN
bracis-19058	54	6	measurements	measurement	NOUN
bracis-19058	54	7	that	that	PRON
bracis-19058	54	8	can	can	AUX
bracis-19058	54	9	be	be	AUX
bracis-19058	54	10	perturbed	perturb	VERB
bracis-19058	54	11	by	by	ADP
bracis-19058	54	12	movement	movement	NOUN
bracis-19058	54	13	,	,	PUNCT
bracis-19058	54	14	this	this	DET
bracis-19058	54	15	task	task	NOUN
bracis-19058	54	16	consists	consist	VERB
bracis-19058	54	17	of	of	ADP
bracis-19058	54	18	correcting	correct	VERB
bracis-19058	54	19	such	such	ADJ
bracis-19058	54	20	measurements	measurement	NOUN
bracis-19058	54	21	based	base	VERB
bracis-19058	54	22	on	on	ADP
bracis-19058	54	23	imu	imu	NOUN
bracis-19058	54	24	data	datum	NOUN
bracis-19058	54	25	.	.	PUNCT
bracis-19058	55	1	for	for	ADP
bracis-19058	55	2	this	this	DET
bracis-19058	55	3	task	task	NOUN
bracis-19058	55	4	,	,	PUNCT
bracis-19058	55	5	we	we	PRON
bracis-19058	55	6	use	use	VERB
bracis-19058	55	7	the	the	DET
bracis-19058	55	8	(	(	PUNCT
bracis-19058	55	9	complete	complete	ADJ
bracis-19058	55	10	)	)	PUNCT
bracis-19058	55	11	ppg	ppg	PROPN
bracis-19058	55	12	-	-	PUNCT
bracis-19058	55	13	dalia	dalia	PROPN
bracis-19058	55	14	 	 	SPACE
bracis-19058	55	15	[	[	X
bracis-19058	55	16	1	1	NUM
bracis-19058	55	17	]	]	PUNCT
bracis-19058	55	18	and	and	CCONJ
bracis-19058	55	19	wesad	wesad	NOUN
bracis-19058	55	20	 	 	SPACE
bracis-19058	56	1	[	[	X
bracis-19058	56	2	12	12	NUM
bracis-19058	56	3	]	]	PUNCT
bracis-19058	56	4	datasets	dataset	NOUN
bracis-19058	56	5	.	.	PUNCT
bracis-19058	57	1	we	we	PRON
bracis-19058	57	2	show	show	VERB
bracis-19058	57	3	that	that	SCONJ
bracis-19058	57	4	it	it	PRON
bracis-19058	57	5	is	be	AUX
bracis-19058	57	6	possible	possible	ADJ
bracis-19058	57	7	to	to	PART
bracis-19058	57	8	adapt	adapt	VERB
bracis-19058	57	9	the	the	DET
bracis-19058	57	10	architecture	architecture	NOUN
bracis-19058	57	11	proposed	propose	VERB
bracis-19058	57	12	for	for	ADP
bracis-19058	57	13	the	the	DET
bracis-19058	57	14	first	first	ADJ
bracis-19058	57	15	to	to	ADP
bracis-19058	57	16	the	the	DET
bracis-19058	57	17	second	second	ADJ
bracis-19058	57	18	task	task	NOUN
bracis-19058	57	19	with	with	ADP
bracis-19058	57	20	minor	minor	ADJ
bracis-19058	57	21	changes	change	NOUN
bracis-19058	57	22	.	.	PUNCT
bracis-19058	58	1	below	below	ADP
bracis-19058	58	2	we	we	PRON
bracis-19058	58	3	describe	describe	VERB
bracis-19058	58	4	the	the	DET
bracis-19058	58	5	datasets	dataset	NOUN
bracis-19058	58	6	and	and	CCONJ
bracis-19058	58	7	the	the	DET
bracis-19058	58	8	pre	pre	ADJ
bracis-19058	58	9	-	-	ADJ
bracis-19058	58	10	processing	processing	ADJ
bracis-19058	58	11	techniques	technique	NOUN
bracis-19058	58	12	used	use	VERB
bracis-19058	58	13	throughout	throughout	ADP
bracis-19058	58	14	this	this	DET
bracis-19058	58	15	work	work	NOUN
bracis-19058	58	16	.	.	PUNCT
bracis-19058	59	1	fig	fig	NOUN
bracis-19058	59	2	.	.	PUNCT
bracis-19058	60	1	1	1	NUM
bracis-19058	60	2	.	.	NOUN
bracis-19058	60	3	time	time	NOUN
bracis-19058	60	4	snippet	snippet	NOUN
bracis-19058	60	5	representation	representation	NOUN
bracis-19058	60	6	full	full	ADJ
bracis-19058	60	7	size	size	NOUN
bracis-19058	60	8	image	image	NOUN
bracis-19058	60	9	2.1	2.1	NUM
bracis-19058	60	10	datasets	dataset	NOUN
bracis-19058	60	11	the	the	DET
bracis-19058	60	12	pamap2	pamap2	NOUN
bracis-19058	60	13	dataset	dataset	NOUN
bracis-19058	60	14	.	.	PUNCT
bracis-19058	61	1	[	[	X
bracis-19058	61	2	13	13	NUM
bracis-19058	61	3	]	]	PUNCT
bracis-19058	61	4	consists	consist	VERB
bracis-19058	61	5	of	of	ADP
bracis-19058	61	6	data	datum	NOUN
bracis-19058	61	7	from	from	ADP
bracis-19058	61	8	40	40	NUM
bracis-19058	61	9	sensors	sensor	NOUN
bracis-19058	61	10	(	(	PUNCT
bracis-19058	61	11	accelerometers	accelerometer	NOUN
bracis-19058	61	12	,	,	PUNCT
bracis-19058	61	13	gyroscopes	gyroscope	NOUN
bracis-19058	61	14	,	,	PUNCT
bracis-19058	61	15	magnetometers	magnetometer	NOUN
bracis-19058	61	16	,	,	PUNCT
bracis-19058	61	17	thermometers	thermometer	NOUN
bracis-19058	61	18	and	and	CCONJ
bracis-19058	61	19	hr	hr	NOUN
bracis-19058	61	20	sensor	sensor	NOUN
bracis-19058	61	21	)	)	PUNCT
bracis-19058	61	22	sampled	sample	VERB
bracis-19058	61	23	100	100	NUM
bracis-19058	61	24	 	 	SPACE
bracis-19058	61	25	hz	hz	NOUN
bracis-19058	61	26	of	of	ADP
bracis-19058	61	27	9	9	NUM
bracis-19058	61	28	subjects	subject	NOUN
bracis-19058	61	29	performing	perform	VERB
bracis-19058	61	30	18	18	NUM
bracis-19058	61	31	different	different	ADJ
bracis-19058	61	32	activities	activity	NOUN
bracis-19058	61	33	(	(	PUNCT
bracis-19058	61	34	e.g.	e.g.	ADV
bracis-19058	61	35	,	,	PUNCT
bracis-19058	61	36	rope	rope	NOUN
bracis-19058	61	37	jumping	jumping	NOUN
bracis-19058	61	38	,	,	PUNCT
bracis-19058	61	39	running	run	VERB
bracis-19058	61	40	,	,	PUNCT
bracis-19058	61	41	sitting	sit	VERB
bracis-19058	61	42	)	)	PUNCT
bracis-19058	61	43	.	.	PUNCT
bracis-19058	62	1	there	there	PRON
bracis-19058	62	2	is	be	VERB
bracis-19058	62	3	a	a	DET
bracis-19058	62	4	single	single	ADJ
bracis-19058	62	5	time	time	NOUN
bracis-19058	62	6	series	series	NOUN
bracis-19058	62	7	of	of	ADP
bracis-19058	62	8	sensor	sensor	NOUN
bracis-19058	62	9	signals	signal	NOUN
bracis-19058	62	10	per	per	ADP
bracis-19058	62	11	subject	subject	NOUN
bracis-19058	62	12	,	,	PUNCT
bracis-19058	62	13	each	each	PRON
bracis-19058	62	14	performing	perform	VERB
bracis-19058	62	15	a	a	DET
bracis-19058	62	16	sequence	sequence	NOUN
bracis-19058	62	17	of	of	ADP
bracis-19058	62	18	activities	activity	NOUN
bracis-19058	62	19	.	.	PUNCT
bracis-19058	63	1	later	later	ADV
bracis-19058	63	2	on	on	ADV
bracis-19058	63	3	we	we	PRON
bracis-19058	63	4	explain	explain	VERB
bracis-19058	63	5	that	that	SCONJ
bracis-19058	63	6	the	the	DET
bracis-19058	63	7	time	time	NOUN
bracis-19058	63	8	series	series	NOUN
bracis-19058	63	9	for	for	ADP
bracis-19058	63	10	1	1	NUM
bracis-19058	63	11	of	of	ADP
bracis-19058	63	12	9	9	NUM
bracis-19058	63	13	the	the	DET
bracis-19058	63	14	individuals	individual	NOUN
bracis-19058	63	15	is	be	AUX
bracis-19058	63	16	too	too	ADV
bracis-19058	63	17	short	short	ADJ
bracis-19058	63	18	for	for	ADP
bracis-19058	63	19	training	train	VERB
bracis-19058	63	20	the	the	DET
bracis-19058	63	21	models	model	NOUN
bracis-19058	63	22	.	.	PUNCT
bracis-19058	64	1	the	the	DET
bracis-19058	64	2	ppg	ppg	PROPN
bracis-19058	64	3	-	-	PUNCT
bracis-19058	64	4	dalia	dalia	PROPN
bracis-19058	64	5	dataset	dataset	NOUN
bracis-19058	64	6	.	.	PUNCT
bracis-19058	65	1	[	[	X
bracis-19058	65	2	1	1	X
bracis-19058	65	3	]	]	PUNCT
bracis-19058	65	4	is	be	AUX
bracis-19058	65	5	composed	compose	VERB
bracis-19058	65	6	of	of	ADP
bracis-19058	65	7	signals	signal	NOUN
bracis-19058	65	8	from	from	ADP
bracis-19058	65	9	two	two	NUM
bracis-19058	65	10	devices	device	NOUN
bracis-19058	65	11	,	,	PUNCT
bracis-19058	65	12	a	a	DET
bracis-19058	65	13	chest	chest	NOUN
bracis-19058	65	14	-	-	PUNCT
bracis-19058	65	15	worn	wear	VERB
bracis-19058	65	16	device	device	NOUN
bracis-19058	65	17	which	which	PRON
bracis-19058	65	18	provides	provide	VERB
bracis-19058	65	19	accelerometer	accelerometer	NOUN
bracis-19058	65	20	and	and	CCONJ
bracis-19058	65	21	ecg	ecg	PROPN
bracis-19058	65	22	data	datum	NOUN
bracis-19058	65	23	;	;	PUNCT
bracis-19058	65	24	and	and	CCONJ
bracis-19058	65	25	a	a	DET
bracis-19058	65	26	wrist	wrist	NOUN
bracis-19058	65	27	-	-	PUNCT
bracis-19058	65	28	worn	wear	VERB
bracis-19058	65	29	device	device	NOUN
bracis-19058	65	30	measuring	measure	VERB
bracis-19058	65	31	the	the	DET
bracis-19058	65	32	ppg	ppg	NOUN
bracis-19058	65	33	and	and	CCONJ
bracis-19058	65	34	triaxial	triaxial	ADJ
bracis-19058	65	35	acceleration	acceleration	NOUN
bracis-19058	65	36	,	,	PUNCT
bracis-19058	65	37	sampled	sample	VERB
bracis-19058	65	38	32	32	NUM
bracis-19058	65	39	 	 	SPACE
bracis-19058	65	40	hz	hz	VERB
bracis-19058	65	41	.	.	PUNCT
bracis-19058	66	1	it	it	PRON
bracis-19058	66	2	also	also	ADV
bracis-19058	66	3	includes	include	VERB
bracis-19058	66	4	hr	hr	NOUN
bracis-19058	66	5	series	series	NOUN
bracis-19058	66	6	computed	compute	VERB
bracis-19058	66	7	from	from	ADP
bracis-19058	66	8	the	the	DET
bracis-19058	66	9	ecg	ecg	PROPN
bracis-19058	66	10	signals	signal	NOUN
bracis-19058	66	11	.	.	PUNCT
bracis-19058	67	1	this	this	DET
bracis-19058	67	2	dataset	dataset	NOUN
bracis-19058	67	3	contains	contain	VERB
bracis-19058	67	4	a	a	DET
bracis-19058	67	5	contiguous	contiguous	ADJ
bracis-19058	67	6	time	time	NOUN
bracis-19058	67	7	series	series	NOUN
bracis-19058	67	8	of	of	ADP
bracis-19058	67	9	sensor	sensor	NOUN
bracis-19058	67	10	signals	signal	NOUN
bracis-19058	67	11	from	from	ADP
bracis-19058	67	12	15	15	NUM
bracis-19058	67	13	individuals	individual	NOUN
bracis-19058	67	14	performing	perform	VERB
bracis-19058	67	15	8	8	NUM
bracis-19058	67	16	activities	activity	NOUN
bracis-19058	67	17	.	.	PUNCT
bracis-19058	68	1	we	we	PRON
bracis-19058	68	2	dub	dub	VERB
bracis-19058	68	3	dalia	dalia	PROPN
bracis-19058	68	4	,	,	PUNCT
bracis-19058	68	5	the	the	DET
bracis-19058	68	6	subset	subset	NOUN
bracis-19058	68	7	of	of	ADP
bracis-19058	68	8	this	this	DET
bracis-19058	68	9	dataset	dataset	NOUN
bracis-19058	68	10	which	which	PRON
bracis-19058	68	11	does	do	AUX
bracis-19058	68	12	not	not	PART
bracis-19058	68	13	include	include	VERB
bracis-19058	68	14	the	the	DET
bracis-19058	68	15	ppg	ppg	NOUN
bracis-19058	68	16	signals	signal	NOUN
bracis-19058	68	17	(	(	PUNCT
bracis-19058	68	18	to	to	PART
bracis-19058	68	19	use	use	VERB
bracis-19058	68	20	in	in	ADP
bracis-19058	68	21	the	the	DET
bracis-19058	68	22	imu	imu	NOUN
bracis-19058	68	23	-	-	PUNCT
bracis-19058	68	24	based	base	VERB
bracis-19058	68	25	multi	multi	ADJ
bracis-19058	68	26	-	-	ADJ
bracis-19058	68	27	step	step	ADJ
bracis-19058	68	28	hr	hr	NOUN
bracis-19058	68	29	estimation	estimation	NOUN
bracis-19058	68	30	task	task	NOUN
bracis-19058	68	31	)	)	PUNCT
bracis-19058	68	32	.	.	PUNCT
bracis-19058	69	1	the	the	DET
bracis-19058	69	2	wesad	wesad	PROPN
bracis-19058	69	3	dataset	dataset	NOUN
bracis-19058	69	4	.	.	PUNCT
bracis-19058	70	1	[	[	X
bracis-19058	70	2	12	12	NUM
bracis-19058	70	3	]	]	PUNCT
bracis-19058	70	4	consists	consist	VERB
bracis-19058	70	5	of	of	ADP
bracis-19058	70	6	data	datum	NOUN
bracis-19058	70	7	from	from	ADP
bracis-19058	70	8	15	15	NUM
bracis-19058	70	9	subjects	subject	NOUN
bracis-19058	70	10	wearing	wear	VERB
bracis-19058	70	11	the	the	DET
bracis-19058	70	12	same	same	ADJ
bracis-19058	70	13	sensors	sensor	NOUN
bracis-19058	70	14	available	available	ADJ
bracis-19058	70	15	in	in	ADP
bracis-19058	70	16	ppg	ppg	PROPN
bracis-19058	70	17	-	-	PUNCT
bracis-19058	70	18	dalia	dalia	PROPN
bracis-19058	70	19	,	,	PUNCT
bracis-19058	70	20	but	but	CCONJ
bracis-19058	70	21	the	the	DET
bracis-19058	70	22	individuals	individual	NOUN
bracis-19058	70	23	remain	remain	VERB
bracis-19058	70	24	seated	seated	ADJ
bracis-19058	70	25	/	/	SYM
bracis-19058	70	26	standing	stand	VERB
bracis-19058	70	27	during	during	ADP
bracis-19058	70	28	the	the	DET
bracis-19058	70	29	whole	whole	ADJ
bracis-19058	70	30	study	study	NOUN
bracis-19058	70	31	while	while	SCONJ
bracis-19058	70	32	going	go	VERB
bracis-19058	70	33	through	through	ADP
bracis-19058	70	34	different	different	ADJ
bracis-19058	70	35	affective	affective	ADJ
bracis-19058	70	36	states	state	NOUN
bracis-19058	70	37	(	(	PUNCT
bracis-19058	70	38	neutral	neutral	ADJ
bracis-19058	70	39	,	,	PUNCT
bracis-19058	70	40	stress	stress	NOUN
bracis-19058	70	41	,	,	PUNCT
bracis-19058	70	42	amusement	amusement	NOUN
bracis-19058	70	43	)	)	PUNCT
bracis-19058	70	44	.	.	PUNCT
bracis-19058	71	1	unlike	unlike	ADP
bracis-19058	71	2	ppg	ppg	PROPN
bracis-19058	71	3	-	-	PUNCT
bracis-19058	71	4	dalia	dalia	PROPN
bracis-19058	71	5	,	,	PUNCT
bracis-19058	71	6	wesad	wesad	PROPN
bracis-19058	71	7	does	do	AUX
bracis-19058	71	8	not	not	PART
bracis-19058	71	9	provide	provide	VERB
bracis-19058	71	10	precomputed	precompute	VERB
bracis-19058	71	11	hr	hr	NOUN
bracis-19058	71	12	series	series	NOUN
bracis-19058	71	13	,	,	PUNCT
bracis-19058	71	14	therefore	therefore	ADV
bracis-19058	71	15	we	we	PRON
bracis-19058	71	16	used	use	VERB
bracis-19058	71	17	the	the	DET
bracis-19058	71	18	heartpy	heartpy	NOUN
bracis-19058	71	19	library	library	NOUN
bracis-19058	71	20	 	 	SPACE
bracis-19058	72	1	[	[	X
bracis-19058	72	2	14	14	NUM
bracis-19058	72	3	]	]	PUNCT
bracis-19058	72	4	to	to	PART
bracis-19058	72	5	extract	extract	VERB
bracis-19058	72	6	hr	hr	NOUN
bracis-19058	72	7	measurements	measurement	NOUN
bracis-19058	72	8	from	from	ADP
bracis-19058	72	9	the	the	DET
bracis-19058	72	10	ecg	ecg	PROPN
bracis-19058	72	11	signals	signal	NOUN
bracis-19058	72	12	.	.	PUNCT
bracis-19058	73	1	although	although	SCONJ
bracis-19058	73	2	subjects	subject	NOUN
bracis-19058	73	3	are	be	AUX
bracis-19058	73	4	indexed	index	VERB
bracis-19058	73	5	up	up	ADP
bracis-19058	73	6	 	 	SPACE
bracis-19058	73	7	to	to	PART
bracis-19058	73	8	number	number	NOUN
bracis-19058	73	9	17	17	NUM
bracis-19058	73	10	,	,	PUNCT
bracis-19058	73	11	the	the	DET
bracis-19058	73	12	dataset	dataset	NOUN
bracis-19058	73	13	does	do	AUX
bracis-19058	73	14	not	not	PART
bracis-19058	73	15	include	include	VERB
bracis-19058	73	16	subject	subject	ADJ
bracis-19058	73	17	identifiers	identifier	NOUN
bracis-19058	73	18	1	1	NUM
bracis-19058	73	19	and	and	CCONJ
bracis-19058	73	20	12	12	NUM
bracis-19058	73	21	.	.	PUNCT
bracis-19058	74	1	in	in	ADP
bracis-19058	74	2	total	total	NOUN
bracis-19058	74	3	,	,	PUNCT
bracis-19058	74	4	we	we	PRON
bracis-19058	74	5	use	use	VERB
bracis-19058	74	6	data	datum	NOUN
bracis-19058	74	7	from	from	ADP
bracis-19058	74	8	23	23	NUM
bracis-19058	74	9	(	(	PUNCT
bracis-19058	74	10	resp	resp	NOUN
bracis-19058	74	11	.	.	PUNCT
bracis-19058	74	12	30	30	NUM
bracis-19058	74	13	)	)	PUNCT
bracis-19058	74	14	subjects	subject	NOUN
bracis-19058	74	15	for	for	ADP
bracis-19058	74	16	imu	imu	NOUN
bracis-19058	74	17	-	-	PUNCT
bracis-19058	74	18	based	base	VERB
bracis-19058	74	19	(	(	PUNCT
bracis-19058	74	20	resp	resp	NOUN
bracis-19058	74	21	.	.	PUNCT
bracis-19058	75	1	ppg	ppg	PROPN
bracis-19058	75	2	-	-	PUNCT
bracis-19058	75	3	based	base	VERB
bracis-19058	75	4	)	)	PUNCT
bracis-19058	75	5	multi	multi	ADJ
bracis-19058	75	6	-	-	ADJ
bracis-19058	75	7	step	step	ADJ
bracis-19058	75	8	hr	hr	NOUN
bracis-19058	75	9	estimation	estimation	NOUN
bracis-19058	75	10	task	task	NOUN
bracis-19058	75	11	.	.	PUNCT
bracis-19058	76	1	2.2	2.2	NUM
bracis-19058	76	2	pre	pre	ADJ
bracis-19058	76	3	-	-	ADJ
bracis-19058	76	4	processing	processing	ADJ
bracis-19058	76	5	basic	basic	ADJ
bracis-19058	76	6	preprocessing	preprocessing	NOUN
bracis-19058	76	7	.	.	PUNCT
bracis-19058	77	1	we	we	PRON
bracis-19058	77	2	upsample	upsample	VERB
bracis-19058	77	3	the	the	DET
bracis-19058	77	4	hr	hr	NOUN
bracis-19058	77	5	signal	signal	NOUN
bracis-19058	77	6	using	use	VERB
bracis-19058	77	7	linear	linear	ADJ
bracis-19058	77	8	interpolation	interpolation	NOUN
bracis-19058	77	9	in	in	ADP
bracis-19058	77	10	all	all	DET
bracis-19058	77	11	datasets	dataset	NOUN
bracis-19058	77	12	to	to	PART
bracis-19058	77	13	make	make	VERB
bracis-19058	77	14	its	its	PRON
bracis-19058	77	15	sampling	sample	VERB
bracis-19058	77	16	rate	rate	NOUN
bracis-19058	77	17	consistent	consistent	ADJ
bracis-19058	77	18	with	with	ADP
bracis-19058	77	19	the	the	DET
bracis-19058	77	20	other	other	ADJ
bracis-19058	77	21	signals	signal	NOUN
bracis-19058	77	22	.	.	PUNCT
bracis-19058	78	1	only	only	ADV
bracis-19058	78	2	pamap2	pamap2	NOUN
bracis-19058	78	3	contains	contain	VERB
bracis-19058	78	4	a	a	DET
bracis-19058	78	5	few	few	ADJ
bracis-19058	78	6	missing	missing	ADJ
bracis-19058	78	7	data	datum	NOUN
bracis-19058	78	8	points	point	NOUN
bracis-19058	78	9	,	,	PUNCT
bracis-19058	78	10	which	which	PRON
bracis-19058	78	11	we	we	PRON
bracis-19058	78	12	handle	handle	VERB
bracis-19058	78	13	by	by	ADP
bracis-19058	78	14	local	local	ADJ
bracis-19058	78	15	averaging	average	VERB
bracis-19058	78	16	the	the	DET
bracis-19058	78	17	data	datum	NOUN
bracis-19058	78	18	around	around	ADP
bracis-19058	78	19	the	the	DET
bracis-19058	78	20	missing	miss	VERB
bracis-19058	78	21	point	point	NOUN
bracis-19058	78	22	using	use	VERB
bracis-19058	78	23	a	a	DET
bracis-19058	78	24	0.4s	0.4s	PROPN
bracis-19058	78	25	window	window	NOUN
bracis-19058	78	26	 	 	SPACE
bracis-19058	79	1	[	[	X
bracis-19058	79	2	15	15	NUM
bracis-19058	79	3	]	]	PUNCT
bracis-19058	79	4	.	.	PUNCT
bracis-19058	80	1	to	to	PART
bracis-19058	80	2	make	make	VERB
bracis-19058	80	3	the	the	DET
bracis-19058	80	4	use	use	NOUN
bracis-19058	80	5	of	of	ADP
bracis-19058	80	6	the	the	DET
bracis-19058	80	7	pamap2	pamap2	ADJ
bracis-19058	80	8	and	and	CCONJ
bracis-19058	80	9	ppg	ppg	PROPN
bracis-19058	80	10	-	-	PUNCT
bracis-19058	80	11	dalia	dalia	PROPN
bracis-19058	80	12	datasets	dataset	NOUN
bracis-19058	80	13	more	more	ADV
bracis-19058	80	14	consistent	consistent	ADJ
bracis-19058	80	15	,	,	PUNCT
bracis-19058	80	16	we	we	PRON
bracis-19058	80	17	use	use	VERB
bracis-19058	80	18	only	only	ADV
bracis-19058	80	19	the	the	DET
bracis-19058	80	20	accelerometer	accelerometer	ADJ
bracis-19058	80	21	signals	signal	NOUN
bracis-19058	80	22	of	of	ADP
bracis-19058	80	23	the	the	DET
bracis-19058	80	24	chest	chest	NOUN
bracis-19058	80	25	and	and	CCONJ
bracis-19058	80	26	wrist	wrist	NOUN
bracis-19058	80	27	,	,	PUNCT
bracis-19058	80	28	and	and	CCONJ
bracis-19058	80	29	downsampled	downsample	VERB
bracis-19058	80	30	the	the	DET
bracis-19058	80	31	signals	signal	NOUN
bracis-19058	80	32	32	32	NUM
bracis-19058	80	33	 	 	SPACE
bracis-19058	80	34	hz	hz	VERB
bracis-19058	80	35	.	.	PUNCT
bracis-19058	81	1	all	all	DET
bracis-19058	81	2	signals	signal	NOUN
bracis-19058	81	3	\(\mathbf	\(\mathbf	VERB
bracis-19058	81	4	{	{	PUNCT
bracis-19058	81	5	s}\	s}\	NUM
bracis-19058	81	6	)	)	PUNCT
bracis-19058	81	7	are	be	AUX
bracis-19058	81	8	z	z	NOUN
bracis-19058	81	9	-	-	PUNCT
bracis-19058	81	10	normalized	normalize	VERB
bracis-19058	81	11	,	,	PUNCT
bracis-19058	81	12	i.e.	i.e.	X
bracis-19058	81	13	,	,	PUNCT
bracis-19058	81	14	\(\hat{\mathbf	\(\hat{\mathbf	ADJ
bracis-19058	81	15	{	{	PUNCT
bracis-19058	81	16	s	s	NOUN
bracis-19058	81	17	}	}	PUNCT
bracis-19058	81	18	}	}	PUNCT
bracis-19058	81	19	=	=	SYM
bracis-19058	82	1	(	(	PUNCT
bracis-19058	82	2	s	s	PROPN
bracis-19058	82	3	\mu	\mu	PROPN
bracis-19058	82	4	(	(	PUNCT
bracis-19058	82	5	\mathbf	\mathbf	PROPN
bracis-19058	82	6	{	{	PUNCT
bracis-19058	82	7	s}))/\sigma	s}))/\sigma	PROPN
bracis-19058	82	8	(	(	PUNCT
bracis-19058	82	9	\mathbf	\mathbf	PROPN
bracis-19058	82	10	{	{	PUNCT
bracis-19058	82	11	s})\	s})\	PROPN
bracis-19058	82	12	)	)	PUNCT
bracis-19058	82	13	,	,	PUNCT
bracis-19058	82	14	where	where	SCONJ
bracis-19058	82	15	\(\mu	\(\mu	PROPN
bracis-19058	82	16	\	\	NOUN
bracis-19058	82	17	)	)	PUNCT
bracis-19058	82	18	stands	stand	VERB
bracis-19058	82	19	for	for	ADP
bracis-19058	82	20	the	the	DET
bracis-19058	82	21	mean	mean	ADJ
bracis-19058	82	22	operator	operator	NOUN
bracis-19058	82	23	and	and	CCONJ
bracis-19058	82	24	\(\sigma	\(\sigma	NOUN
bracis-19058	82	25	\	\	PROPN
bracis-19058	82	26	)	)	PUNCT
bracis-19058	82	27	for	for	ADP
bracis-19058	82	28	the	the	DET
bracis-19058	82	29	standard	standard	ADJ
bracis-19058	82	30	deviation	deviation	NOUN
bracis-19058	82	31	operator	operator	NOUN
bracis-19058	82	32	.	.	PUNCT
bracis-19058	83	1	time	time	NOUN
bracis-19058	83	2	snippet	snippet	NOUN
bracis-19058	83	3	discretization	discretization	NOUN
bracis-19058	83	4	.	.	PUNCT
bracis-19058	84	1	like	like	ADP
bracis-19058	84	2	most	most	ADJ
bracis-19058	84	3	works	work	NOUN
bracis-19058	84	4	based	base	VERB
bracis-19058	84	5	on	on	ADP
bracis-19058	84	6	this	this	DET
bracis-19058	84	7	data	datum	NOUN
bracis-19058	84	8	,	,	PUNCT
bracis-19058	84	9	we	we	PRON
bracis-19058	84	10	discretize	discretize	VERB
bracis-19058	84	11	the	the	DET
bracis-19058	84	12	time	time	NOUN
bracis-19058	84	13	series	series	PROPN
bracis-19058	84	14	signals	signal	NOUN
bracis-19058	84	15	into	into	ADP
bracis-19058	84	16	time	time	NOUN
bracis-19058	84	17	snippets	snippet	NOUN
bracis-19058	84	18	(	(	PUNCT
bracis-19058	84	19	ts	ts	NOUN
bracis-19058	84	20	)	)	PUNCT
bracis-19058	84	21	,	,	PUNCT
bracis-19058	84	22	i.e.	i.e.	X
bracis-19058	84	23	,	,	PUNCT
bracis-19058	84	24	partially	partially	ADV
bracis-19058	84	25	overlapping	overlap	VERB
bracis-19058	84	26	windows	window	NOUN
bracis-19058	84	27	of	of	ADP
bracis-19058	84	28	fixed	fix	VERB
bracis-19058	84	29	duration	duration	NOUN
bracis-19058	84	30	\(\tau	\(\tau	PUNCT
bracis-19058	85	1	_	_	PRON
bracis-19058	85	2	{	{	PUNCT
bracis-19058	85	3	ts}\	ts}\	NUM
bracis-19058	85	4	)	)	PUNCT
bracis-19058	85	5	and	and	CCONJ
bracis-19058	85	6	overlap	overlap	VERB
bracis-19058	85	7	ratio	ratio	NOUN
bracis-19058	85	8	\(r_{ts}\	\(r_{ts}\	PROPN
bracis-19058	85	9	)	)	PUNCT
bracis-19058	85	10	(	(	PUNCT
bracis-19058	85	11	task	task	NOUN
bracis-19058	85	12	-	-	PUNCT
bracis-19058	85	13	dependent	dependent	ADJ
bracis-19058	85	14	)	)	PUNCT
bracis-19058	85	15	.	.	PUNCT
bracis-19058	86	1	figure	figure	NOUN
bracis-19058	86	2	 	 	SPACE
bracis-19058	86	3	1	1	NUM
bracis-19058	86	4	illustrates	illustrate	VERB
bracis-19058	86	5	this	this	DET
bracis-19058	86	6	procedure	procedure	NOUN
bracis-19058	86	7	for	for	ADP
bracis-19058	86	8	the	the	DET
bracis-19058	86	9	case	case	NOUN
bracis-19058	86	10	when	when	SCONJ
bracis-19058	86	11	\(r_{ts}=0\	\(r_{ts}=0\	NOUN
bracis-19058	86	12	)	)	PUNCT
bracis-19058	86	13	.	.	PUNCT
bracis-19058	87	1	each	each	DET
bracis-19058	87	2	time	time	NOUN
bracis-19058	87	3	snippet	snippet	PROPN
bracis-19058	87	4	\(ts_t\	\(ts_t\	NOUN
bracis-19058	87	5	)	)	PUNCT
bracis-19058	87	6	is	be	AUX
bracis-19058	87	7	a	a	DET
bracis-19058	87	8	matrix	matrix	NOUN
bracis-19058	87	9	where	where	SCONJ
bracis-19058	87	10	each	each	DET
bracis-19058	87	11	row	row	NOUN
bracis-19058	87	12	represents	represent	VERB
bracis-19058	87	13	a	a	DET
bracis-19058	87	14	sensor	sensor	NOUN
bracis-19058	87	15	.	.	PUNCT
bracis-19058	88	1	time	time	NOUN
bracis-19058	88	2	snippets	snippet	NOUN
bracis-19058	88	3	determine	determine	VERB
bracis-19058	88	4	the	the	DET
bracis-19058	88	5	granularity	granularity	NOUN
bracis-19058	88	6	of	of	ADP
bracis-19058	88	7	the	the	DET
bracis-19058	88	8	predictions	prediction	NOUN
bracis-19058	88	9	.	.	PUNCT
bracis-19058	89	1	accordingly	accordingly	ADV
bracis-19058	89	2	,	,	PUNCT
bracis-19058	89	3	we	we	PRON
bracis-19058	89	4	define	define	VERB
bracis-19058	89	5	the	the	DET
bracis-19058	89	6	average	average	ADJ
bracis-19058	89	7	hr	hr	NOUN
bracis-19058	89	8	\({h}_{t}\	\({h}_{t}\	NOUN
bracis-19058	89	9	)	)	PUNCT
bracis-19058	89	10	for	for	ADP
bracis-19058	89	11	each	each	DET
bracis-19058	89	12	time	time	NOUN
bracis-19058	89	13	snippet	snippet	PROPN
bracis-19058	89	14	\(\text	\(\text	PROPN
bracis-19058	89	15	{	{	PUNCT
bracis-19058	89	16	ts}_t\	ts}_t\	PROPN
bracis-19058	89	17	)	)	PUNCT
bracis-19058	89	18	as	as	SCONJ
bracis-19058	89	19	the	the	DET
bracis-19058	89	20	response	response	NOUN
bracis-19058	89	21	to	to	PART
bracis-19058	89	22	be	be	AUX
bracis-19058	89	23	predicted	predict	VERB
bracis-19058	89	24	.	.	PUNCT
bracis-19058	90	1	time	time	PROPN
bracis-19058	90	2	series	series	PROPN
bracis-19058	90	3	segmentation	segmentation	PROPN
bracis-19058	90	4	.	.	PUNCT
bracis-19058	91	1	in	in	ADP
bracis-19058	91	2	order	order	NOUN
bracis-19058	91	3	to	to	PART
bracis-19058	91	4	create	create	VERB
bracis-19058	91	5	a	a	DET
bracis-19058	91	6	fixed	fix	VERB
bracis-19058	91	7	-	-	PUNCT
bracis-19058	91	8	length	length	NOUN
bracis-19058	91	9	training	training	NOUN
bracis-19058	91	10	set	set	NOUN
bracis-19058	91	11	,	,	PUNCT
bracis-19058	91	12	we	we	PRON
bracis-19058	91	13	segment	segment	VERB
bracis-19058	91	14	the	the	DET
bracis-19058	91	15	time	time	NOUN
bracis-19058	91	16	series	series	NOUN
bracis-19058	91	17	of	of	ADP
bracis-19058	91	18	each	each	DET
bracis-19058	91	19	individual	individual	NOUN
bracis-19058	91	20	in	in	ADP
bracis-19058	91	21	a	a	DET
bracis-19058	91	22	sequence	sequence	NOUN
bracis-19058	91	23	of	of	ADP
bracis-19058	91	24	n	n	CCONJ
bracis-19058	91	25	contiguous	contiguous	ADJ
bracis-19058	91	26	time	time	NOUN
bracis-19058	91	27	snippets	snippet	NOUN
bracis-19058	91	28	of	of	ADP
bracis-19058	91	29	fixed	fix	VERB
bracis-19058	91	30	duration	duration	NOUN
bracis-19058	91	31	.	.	PUNCT
bracis-19058	92	1	each	each	DET
bracis-19058	92	2	segment	segment	NOUN
bracis-19058	92	3	is	be	AUX
bracis-19058	92	4	partitioned	partition	VERB
bracis-19058	92	5	into	into	ADP
bracis-19058	92	6	two	two	NUM
bracis-19058	92	7	smaller	small	ADJ
bracis-19058	92	8	segments	segment	NOUN
bracis-19058	92	9	.	.	PUNCT
bracis-19058	93	1	the	the	DET
bracis-19058	93	2	first	first	ADJ
bracis-19058	93	3	,	,	PUNCT
bracis-19058	93	4	called	call	VERB
bracis-19058	93	5	initialization	initialization	NOUN
bracis-19058	93	6	segment	segment	NOUN
bracis-19058	93	7	,	,	PUNCT
bracis-19058	93	8	contains	contain	VERB
bracis-19058	93	9	the	the	DET
bracis-19058	93	10	imu	imu	NOUN
bracis-19058	93	11	and	and	CCONJ
bracis-19058	93	12	hr	hr	NOUN
bracis-19058	93	13	signals	signal	NOUN
bracis-19058	93	14	for	for	ADP
bracis-19058	93	15	the	the	DET
bracis-19058	93	16	first	first	ADJ
bracis-19058	93	17	\(i=12\	\(i=12\	NOUN
bracis-19058	93	18	)	)	PUNCT
bracis-19058	93	19	time	time	NOUN
bracis-19058	93	20	snippets	snippet	NOUN
bracis-19058	93	21	,	,	PUNCT
bracis-19058	93	22	and	and	CCONJ
bracis-19058	93	23	can	can	AUX
bracis-19058	93	24	be	be	AUX
bracis-19058	93	25	used	use	VERB
bracis-19058	93	26	by	by	ADP
bracis-19058	93	27	a	a	DET
bracis-19058	93	28	neural	neural	ADJ
bracis-19058	93	29	network	network	NOUN
bracis-19058	93	30	(	(	PUNCT
bracis-19058	93	31	nn	nn	NOUN
bracis-19058	93	32	)	)	PUNCT
bracis-19058	93	33	to	to	PART
bracis-19058	93	34	encode	encode	VERB
bracis-19058	93	35	a	a	DET
bracis-19058	93	36	“	"	PUNCT
bracis-19058	93	37	state	state	NOUN
bracis-19058	93	38	”	"	PUNCT
bracis-19058	93	39	specific	specific	NOUN
bracis-19058	93	40	to	to	ADP
bracis-19058	93	41	that	that	DET
bracis-19058	93	42	time	time	NOUN
bracis-19058	93	43	series	series	PROPN
bracis-19058	93	44	.	.	PUNCT
bracis-19058	94	1	the	the	DET
bracis-19058	94	2	second	second	ADJ
bracis-19058	94	3	,	,	PUNCT
bracis-19058	94	4	called	call	VERB
bracis-19058	94	5	prediction	prediction	NOUN
bracis-19058	94	6	segment	segment	NOUN
bracis-19058	94	7	,	,	PUNCT
bracis-19058	94	8	contains	contain	VERB
bracis-19058	94	9	the	the	DET
bracis-19058	94	10	imu	imu	NOUN
bracis-19058	94	11	,	,	PUNCT
bracis-19058	94	12	but	but	CCONJ
bracis-19058	94	13	does	do	AUX
bracis-19058	94	14	not	not	PART
bracis-19058	94	15	contain	contain	VERB
bracis-19058	94	16	the	the	DET
bracis-19058	94	17	hr	hr	NOUN
bracis-19058	94	18	,	,	PUNCT
bracis-19058	94	19	as	as	SCONJ
bracis-19058	94	20	it	it	PRON
bracis-19058	94	21	is	be	AUX
bracis-19058	94	22	used	use	VERB
bracis-19058	94	23	by	by	ADP
bracis-19058	94	24	a	a	DET
bracis-19058	94	25	(	(	PUNCT
bracis-19058	94	26	possibly	possibly	ADV
bracis-19058	94	27	different	different	ADJ
bracis-19058	94	28	)	)	PUNCT
bracis-19058	94	29	nn	nn	NOUN
bracis-19058	94	30	to	to	ADP
bracis-19058	94	31	output	output	NOUN
bracis-19058	94	32	predictions	prediction	NOUN
bracis-19058	94	33	for	for	ADP
bracis-19058	94	34	each	each	DET
bracis-19058	94	35	time	time	NOUN
bracis-19058	94	36	snippet	snippet	NOUN
bracis-19058	94	37	.	.	PUNCT
bracis-19058	95	1	figure	figure	NOUN
bracis-19058	95	2	 	 	SPACE
bracis-19058	95	3	1	1	NUM
bracis-19058	95	4	illustrates	illustrate	VERB
bracis-19058	95	5	the	the	DET
bracis-19058	95	6	subdivision	subdivision	NOUN
bracis-19058	95	7	of	of	ADP
bracis-19058	95	8	a	a	DET
bracis-19058	95	9	segment	segment	NOUN
bracis-19058	95	10	,	,	PUNCT
bracis-19058	95	11	in	in	ADP
bracis-19058	95	12	the	the	DET
bracis-19058	95	13	case	case	NOUN
bracis-19058	95	14	where	where	SCONJ
bracis-19058	95	15	\(r_{ts}=0\	\(r_{ts}=0\	NOUN
bracis-19058	95	16	)	)	PUNCT
bracis-19058	95	17	.	.	PUNCT
bracis-19058	96	1	note	note	VERB
bracis-19058	96	2	that	that	SCONJ
bracis-19058	96	3	the	the	DET
bracis-19058	96	4	nn	nn	PROPN
bracis-19058	96	5	used	use	VERB
bracis-19058	96	6	for	for	ADP
bracis-19058	96	7	processing	process	VERB
bracis-19058	96	8	the	the	DET
bracis-19058	96	9	first	first	ADJ
bracis-19058	96	10	segment	segment	NOUN
bracis-19058	96	11	can	can	AUX
bracis-19058	96	12	also	also	ADV
bracis-19058	96	13	be	be	AUX
bracis-19058	96	14	used	use	VERB
bracis-19058	96	15	for	for	ADP
bracis-19058	96	16	processing	process	VERB
bracis-19058	96	17	the	the	DET
bracis-19058	96	18	second	second	ADJ
bracis-19058	96	19	segment	segment	NOUN
bracis-19058	96	20	by	by	ADP
bracis-19058	96	21	replacing	replace	VERB
bracis-19058	96	22	the	the	DET
bracis-19058	96	23	hr	hr	NOUN
bracis-19058	96	24	signal	signal	NOUN
bracis-19058	96	25	in	in	ADP
bracis-19058	96	26	the	the	DET
bracis-19058	96	27	latter	latter	ADJ
bracis-19058	96	28	by	by	ADP
bracis-19058	96	29	zeroes	zero	NOUN
bracis-19058	96	30	.	.	PUNCT
bracis-19058	97	1	3	3	NUM
bracis-19058	97	2	the	the	DET
bracis-19058	97	3	physical	physical	ADJ
bracis-19058	97	4	conditional	conditional	NOUN
bracis-19058	97	5	embedding	embed	VERB
bracis-19058	97	6	lstm	lstm	ADJ
bracis-19058	97	7	model	model	NOUN
bracis-19058	97	8	here	here	ADV
bracis-19058	97	9	we	we	PRON
bracis-19058	97	10	describe	describe	VERB
bracis-19058	97	11	pce	pce	NOUN
bracis-19058	97	12	-	-	NOUN
bracis-19058	97	13	lstm	lstm	PROPN
bracis-19058	97	14	,	,	PUNCT
bracis-19058	97	15	our	our	PRON
bracis-19058	97	16	proposed	propose	VERB
bracis-19058	97	17	neural	neural	ADJ
bracis-19058	97	18	network	network	NOUN
bracis-19058	97	19	architecture	architecture	NOUN
bracis-19058	97	20	for	for	ADP
bracis-19058	97	21	hr	hr	NOUN
bracis-19058	97	22	prediction	prediction	NOUN
bracis-19058	97	23	.	.	PUNCT
bracis-19058	98	1	pce	pce	PROPN
bracis-19058	98	2	-	-	PROPN
bracis-19058	98	3	lstm	lstm	PROPN
bracis-19058	98	4	is	be	AUX
bracis-19058	98	5	composed	compose	VERB
bracis-19058	98	6	of	of	ADP
bracis-19058	98	7	convolutional	convolutional	ADJ
bracis-19058	98	8	and	and	CCONJ
bracis-19058	98	9	lstm	lstm	ADJ
bracis-19058	98	10	layers	layer	NOUN
bracis-19058	98	11	,	,	PUNCT
bracis-19058	98	12	similarly	similarly	ADV
bracis-19058	98	13	to	to	ADP
bracis-19058	98	14	the	the	DET
bracis-19058	98	15	state	state	NOUN
bracis-19058	98	16	-	-	PUNCT
bracis-19058	98	17	of	of	ADP
bracis-19058	98	18	-	-	PUNCT
bracis-19058	98	19	the	the	DET
bracis-19058	98	20	-	-	PUNCT
bracis-19058	98	21	art	art	NOUN
bracis-19058	98	22	techniques	technique	NOUN
bracis-19058	98	23	for	for	ADP
bracis-19058	98	24	the	the	DET
bracis-19058	98	25	closely	closely	ADV
bracis-19058	98	26	related	relate	VERB
bracis-19058	98	27	task	task	NOUN
bracis-19058	98	28	of	of	ADP
bracis-19058	98	29	har	har	NOUN
bracis-19058	98	30	.	.	PUNCT
bracis-19058	99	1	the	the	DET
bracis-19058	99	2	main	main	ADJ
bracis-19058	99	3	novelty	novelty	NOUN
bracis-19058	99	4	of	of	ADP
bracis-19058	99	5	this	this	DET
bracis-19058	99	6	model	model	NOUN
bracis-19058	99	7	is	be	AUX
bracis-19058	99	8	discussed	discuss	VERB
bracis-19058	99	9	below	below	ADV
bracis-19058	99	10	.	.	PUNCT
bracis-19058	100	1	recurrent	recurrent	ADJ
bracis-19058	100	2	neural	neural	ADJ
bracis-19058	100	3	networks	network	NOUN
bracis-19058	100	4	(	(	PUNCT
bracis-19058	100	5	rnns	rnns	PROPN
bracis-19058	100	6	)	)	PUNCT
bracis-19058	100	7	have	have	AUX
bracis-19058	100	8	been	be	AUX
bracis-19058	100	9	especially	especially	ADV
bracis-19058	100	10	designed	design	VERB
bracis-19058	100	11	to	to	PART
bracis-19058	100	12	work	work	VERB
bracis-19058	100	13	with	with	ADP
bracis-19058	100	14	time	time	NOUN
bracis-19058	100	15	series	series	PROPN
bracis-19058	100	16	data	data	PROPN
bracis-19058	100	17	.	.	PUNCT
bracis-19058	101	1	they	they	PRON
bracis-19058	101	2	are	be	AUX
bracis-19058	101	3	composed	compose	VERB
bracis-19058	101	4	by	by	ADP
bracis-19058	101	5	cells	cell	NOUN
bracis-19058	101	6	with	with	ADP
bracis-19058	101	7	shared	shared	ADJ
bracis-19058	101	8	parameters	parameter	NOUN
bracis-19058	101	9	,	,	PUNCT
bracis-19058	101	10	which	which	PRON
bracis-19058	101	11	process	process	NOUN
bracis-19058	101	12	units	unit	NOUN
bracis-19058	101	13	of	of	ADP
bracis-19058	101	14	the	the	DET
bracis-19058	101	15	input	input	NOUN
bracis-19058	101	16	sequentially	sequentially	ADV
bracis-19058	101	17	,	,	PUNCT
bracis-19058	101	18	using	use	VERB
bracis-19058	101	19	one	one	NUM
bracis-19058	101	20	or	or	CCONJ
bracis-19058	101	21	more	more	ADJ
bracis-19058	101	22	vectors	vector	NOUN
bracis-19058	101	23	to	to	PART
bracis-19058	101	24	carry	carry	VERB
bracis-19058	101	25	state	state	NOUN
bracis-19058	101	26	information	information	NOUN
bracis-19058	101	27	through	through	ADP
bracis-19058	101	28	time	time	NOUN
bracis-19058	101	29	.	.	PUNCT
bracis-19058	102	1	in	in	ADP
bracis-19058	102	2	particular	particular	ADJ
bracis-19058	102	3	,	,	PUNCT
bracis-19058	102	4	the	the	DET
bracis-19058	102	5	unidirectional	unidirectional	ADJ
bracis-19058	102	6	lstm	lstm	NOUN
bracis-19058	102	7	(	(	PUNCT
bracis-19058	102	8	long	long	ADJ
bracis-19058	102	9	short	short	ADJ
bracis-19058	102	10	-	-	PUNCT
bracis-19058	102	11	term	term	NOUN
bracis-19058	102	12	memory	memory	NOUN
bracis-19058	102	13	)	)	PUNCT
bracis-19058	102	14	cell	cell	NOUN
bracis-19058	102	15	uses	use	VERB
bracis-19058	102	16	two	two	NUM
bracis-19058	102	17	vectors	vector	NOUN
bracis-19058	102	18	–	–	PUNCT
bracis-19058	102	19	the	the	DET
bracis-19058	102	20	hidden	hidden	ADJ
bracis-19058	102	21	state	state	NOUN
bracis-19058	102	22	and	and	CCONJ
bracis-19058	102	23	the	the	DET
bracis-19058	102	24	cell	cell	NOUN
bracis-19058	102	25	state	state	NOUN
bracis-19058	102	26	–	–	PUNCT
bracis-19058	102	27	which	which	PRON
bracis-19058	102	28	are	be	AUX
bracis-19058	102	29	received	receive	VERB
bracis-19058	102	30	from	from	ADP
bracis-19058	102	31	the	the	DET
bracis-19058	102	32	previous	previous	ADJ
bracis-19058	102	33	iteration	iteration	NOUN
bracis-19058	102	34	,	,	PUNCT
bracis-19058	102	35	updated	update	VERB
bracis-19058	102	36	based	base	VERB
bracis-19058	102	37	on	on	ADP
bracis-19058	102	38	the	the	DET
bracis-19058	102	39	input	input	NOUN
bracis-19058	102	40	for	for	ADP
bracis-19058	102	41	that	that	DET
bracis-19058	102	42	time	time	NOUN
bracis-19058	102	43	and	and	CCONJ
bracis-19058	102	44	passed	pass	VERB
bracis-19058	102	45	onto	onto	ADP
bracis-19058	102	46	the	the	DET
bracis-19058	102	47	next	next	ADJ
bracis-19058	102	48	iteration	iteration	NOUN
bracis-19058	102	49	.	.	PUNCT
bracis-19058	103	1	the	the	DET
bracis-19058	103	2	first	first	ADJ
bracis-19058	103	3	iteration	iteration	NOUN
bracis-19058	103	4	,	,	PUNCT
bracis-19058	103	5	however	however	ADV
bracis-19058	103	6	,	,	PUNCT
bracis-19058	103	7	receives	receive	VERB
bracis-19058	103	8	these	these	DET
bracis-19058	103	9	vectors	vector	NOUN
bracis-19058	103	10	as	as	SCONJ
bracis-19058	103	11	they	they	PRON
bracis-19058	103	12	were	be	AUX
bracis-19058	103	13	initialized	initialize	VERB
bracis-19058	103	14	,	,	PUNCT
bracis-19058	103	15	typically	typically	ADV
bracis-19058	103	16	as	as	ADP
bracis-19058	103	17	zero	zero	NUM
bracis-19058	103	18	vectors	vector	NOUN
bracis-19058	103	19	.	.	PUNCT
bracis-19058	104	1	the	the	DET
bracis-19058	104	2	implicit	implicit	ADJ
bracis-19058	104	3	assumption	assumption	NOUN
bracis-19058	104	4	is	be	AUX
bracis-19058	104	5	that	that	SCONJ
bracis-19058	104	6	the	the	DET
bracis-19058	104	7	network	network	NOUN
bracis-19058	104	8	will	will	AUX
bracis-19058	104	9	gradually	gradually	ADV
bracis-19058	104	10	be	be	AUX
bracis-19058	104	11	able	able	ADJ
bracis-19058	104	12	to	to	PART
bracis-19058	104	13	encode	encode	VERB
bracis-19058	104	14	the	the	DET
bracis-19058	104	15	correct	correct	ADJ
bracis-19058	104	16	state	state	NOUN
bracis-19058	104	17	from	from	ADP
bracis-19058	104	18	the	the	DET
bracis-19058	104	19	inputs	input	NOUN
bracis-19058	104	20	as	as	SCONJ
bracis-19058	104	21	the	the	DET
bracis-19058	104	22	vectors	vector	NOUN
bracis-19058	104	23	are	be	AUX
bracis-19058	104	24	passed	pass	VERB
bracis-19058	104	25	through	through	ADP
bracis-19058	104	26	the	the	DET
bracis-19058	104	27	cells	cell	NOUN
bracis-19058	104	28	.	.	PUNCT
bracis-19058	105	1	for	for	ADP
bracis-19058	105	2	hr	hr	NOUN
bracis-19058	105	3	prediction	prediction	NOUN
bracis-19058	105	4	,	,	PUNCT
bracis-19058	105	5	we	we	PRON
bracis-19058	105	6	argue	argue	VERB
bracis-19058	105	7	that	that	SCONJ
bracis-19058	105	8	if	if	SCONJ
bracis-19058	105	9	some	some	DET
bracis-19058	105	10	data	datum	NOUN
bracis-19058	105	11	on	on	ADP
bracis-19058	105	12	the	the	DET
bracis-19058	105	13	relationship	relationship	NOUN
bracis-19058	105	14	between	between	ADP
bracis-19058	105	15	the	the	DET
bracis-19058	105	16	input	input	NOUN
bracis-19058	105	17	and	and	CCONJ
bracis-19058	105	18	output	output	NOUN
bracis-19058	105	19	signals	signal	NOUN
bracis-19058	105	20	is	be	AUX
bracis-19058	105	21	available	available	ADJ
bracis-19058	105	22	prior	prior	ADV
bracis-19058	105	23	to	to	ADP
bracis-19058	105	24	the	the	DET
bracis-19058	105	25	prediction	prediction	NOUN
bracis-19058	105	26	,	,	PUNCT
bracis-19058	105	27	it	it	PRON
bracis-19058	105	28	can	can	AUX
bracis-19058	105	29	be	be	AUX
bracis-19058	105	30	beneficial	beneficial	ADJ
bracis-19058	105	31	to	to	PART
bracis-19058	105	32	use	use	VERB
bracis-19058	105	33	a	a	DET
bracis-19058	105	34	specialized	specialized	ADJ
bracis-19058	105	35	network	network	NOUN
bracis-19058	105	36	to	to	PART
bracis-19058	105	37	encode	encode	VERB
bracis-19058	105	38	this	this	DET
bracis-19058	105	39	relationship	relationship	NOUN
bracis-19058	105	40	as	as	ADP
bracis-19058	105	41	the	the	DET
bracis-19058	105	42	rnn	rnn	NOUN
bracis-19058	105	43	initial	initial	ADJ
bracis-19058	105	44	state	state	NOUN
bracis-19058	105	45	.	.	PUNCT
bracis-19058	106	1	this	this	DET
bracis-19058	106	2	initial	initial	ADJ
bracis-19058	106	3	state	state	NOUN
bracis-19058	106	4	should	should	AUX
bracis-19058	106	5	contain	contain	VERB
bracis-19058	106	6	information	information	NOUN
bracis-19058	106	7	about	about	ADP
bracis-19058	106	8	physical	physical	ADJ
bracis-19058	106	9	conditioning	conditioning	NOUN
bracis-19058	106	10	:	:	PUNCT
bracis-19058	106	11	a	a	DET
bracis-19058	106	12	more	more	ADV
bracis-19058	106	13	fit	fit	ADJ
bracis-19058	106	14	individual	individual	NOUN
bracis-19058	106	15	is	be	AUX
bracis-19058	106	16	able	able	ADJ
bracis-19058	106	17	to	to	PART
bracis-19058	106	18	sustain	sustain	VERB
bracis-19058	106	19	similar	similar	ADJ
bracis-19058	106	20	movement	movement	NOUN
bracis-19058	106	21	levels	level	NOUN
bracis-19058	106	22	with	with	ADP
bracis-19058	106	23	smaller	small	ADJ
bracis-19058	106	24	increase	increase	NOUN
bracis-19058	106	25	in	in	ADP
bracis-19058	106	26	hr	hr	NOUN
bracis-19058	106	27	.	.	PUNCT
bracis-19058	107	1	thus	thus	ADV
bracis-19058	107	2	,	,	PUNCT
bracis-19058	107	3	the	the	DET
bracis-19058	107	4	main	main	ADJ
bracis-19058	107	5	hypothesis	hypothesis	NOUN
bracis-19058	107	6	investigated	investigate	VERB
bracis-19058	107	7	here	here	ADV
bracis-19058	107	8	can	can	AUX
bracis-19058	107	9	be	be	AUX
bracis-19058	107	10	stated	state	VERB
bracis-19058	107	11	as	as	ADP
bracis-19058	107	12	hypothesis	hypothesis	NOUN
bracis-19058	107	13	:	:	PUNCT
bracis-19058	107	14	it	it	PRON
bracis-19058	107	15	is	be	AUX
bracis-19058	107	16	possible	possible	ADJ
bracis-19058	107	17	to	to	PART
bracis-19058	107	18	encode	encode	VERB
bracis-19058	107	19	information	information	NOUN
bracis-19058	107	20	about	about	ADP
bracis-19058	107	21	physical	physical	ADJ
bracis-19058	107	22	conditioning	conditioning	NOUN
bracis-19058	107	23	from	from	ADP
bracis-19058	107	24	an	an	DET
bracis-19058	107	25	individual	individual	NOUN
bracis-19058	107	26	’s	’s	PART
bracis-19058	107	27	sensor	sensor	NOUN
bracis-19058	107	28	data	datum	NOUN
bracis-19058	107	29	as	as	ADP
bracis-19058	107	30	a	a	DET
bracis-19058	107	31	vector	vector	NOUN
bracis-19058	107	32	and	and	CCONJ
bracis-19058	107	33	use	use	VERB
bracis-19058	107	34	it	it	PRON
bracis-19058	107	35	as	as	ADP
bracis-19058	107	36	the	the	DET
bracis-19058	107	37	initial	initial	ADJ
bracis-19058	107	38	state	state	NOUN
bracis-19058	107	39	of	of	ADP
bracis-19058	107	40	a	a	DET
bracis-19058	107	41	rnn	rnn	NOUN
bracis-19058	107	42	to	to	PART
bracis-19058	107	43	improve	improve	VERB
bracis-19058	107	44	hr	hr	NOUN
bracis-19058	107	45	predictions	prediction	NOUN
bracis-19058	107	46	.	.	PUNCT
bracis-19058	108	1	this	this	PRON
bracis-19058	108	2	is	be	AUX
bracis-19058	108	3	the	the	DET
bracis-19058	108	4	rationale	rationale	NOUN
bracis-19058	108	5	behind	behind	ADP
bracis-19058	108	6	the	the	DET
bracis-19058	108	7	main	main	ADJ
bracis-19058	108	8	difference	difference	NOUN
bracis-19058	108	9	between	between	ADP
bracis-19058	108	10	our	our	PRON
bracis-19058	108	11	approach	approach	NOUN
bracis-19058	108	12	and	and	CCONJ
bracis-19058	108	13	similar	similar	ADJ
bracis-19058	108	14	ones	one	NOUN
bracis-19058	108	15	,	,	PUNCT
bracis-19058	108	16	namely	namely	ADV
bracis-19058	108	17	the	the	DET
bracis-19058	108	18	initialization	initialization	NOUN
bracis-19058	108	19	of	of	ADP
bracis-19058	108	20	the	the	DET
bracis-19058	108	21	rnn	rnn	NOUN
bracis-19058	108	22	hidden	hide	VERB
bracis-19058	108	23	vectors	vector	NOUN
bracis-19058	108	24	using	use	VERB
bracis-19058	108	25	a	a	DET
bracis-19058	108	26	specialized	specialized	ADJ
bracis-19058	108	27	network	network	NOUN
bracis-19058	108	28	,	,	PUNCT
bracis-19058	108	29	which	which	PRON
bracis-19058	108	30	we	we	PRON
bracis-19058	108	31	call	call	VERB
bracis-19058	108	32	the	the	DET
bracis-19058	108	33	physical	physical	ADJ
bracis-19058	108	34	conditioning	conditioning	NOUN
bracis-19058	108	35	encoder	encoder	NOUN
bracis-19058	108	36	.	.	PUNCT
bracis-19058	109	1	figure	figure	VERB
bracis-19058	109	2	 	 	SPACE
bracis-19058	109	3	2	2	NUM
bracis-19058	109	4	shows	show	VERB
bracis-19058	109	5	the	the	DET
bracis-19058	109	6	high	high	ADJ
bracis-19058	109	7	level	level	NOUN
bracis-19058	109	8	structure	structure	NOUN
bracis-19058	109	9	of	of	ADP
bracis-19058	109	10	our	our	PRON
bracis-19058	109	11	architecture	architecture	NOUN
bracis-19058	109	12	,	,	PUNCT
bracis-19058	109	13	which	which	PRON
bracis-19058	109	14	is	be	AUX
bracis-19058	109	15	made	make	VERB
bracis-19058	109	16	of	of	ADP
bracis-19058	109	17	five	five	NUM
bracis-19058	109	18	components	component	NOUN
bracis-19058	109	19	:	:	PUNCT
bracis-19058	109	20	the	the	DET
bracis-19058	109	21	time	time	NOUN
bracis-19058	109	22	snippet	snippet	NOUN
bracis-19058	109	23	encoder	encoder	NOUN
bracis-19058	109	24	(	(	PUNCT
bracis-19058	109	25	ts	ts	ADP
bracis-19058	109	26	encoder	encoder	NOUN
bracis-19058	109	27	)	)	PUNCT
bracis-19058	109	28	,	,	PUNCT
bracis-19058	109	29	a	a	DET
bracis-19058	109	30	convolutional	convolutional	ADJ
bracis-19058	109	31	network	network	NOUN
bracis-19058	109	32	which	which	PRON
bracis-19058	109	33	encodes	encode	VERB
bracis-19058	109	34	the	the	DET
bracis-19058	109	35	2	2	NUM
bracis-19058	109	36	-	-	PUNCT
bracis-19058	109	37	dimensional	dimensional	ADJ
bracis-19058	109	38	ts	t	NOUN
bracis-19058	109	39	into	into	ADP
bracis-19058	109	40	a	a	DET
bracis-19058	109	41	vector	vector	NOUN
bracis-19058	109	42	;	;	PUNCT
bracis-19058	109	43	the	the	DET
bracis-19058	109	44	physical	physical	ADJ
bracis-19058	109	45	conditioning	conditioning	NOUN
bracis-19058	109	46	encoder	encoder	NOUN
bracis-19058	109	47	(	(	PUNCT
bracis-19058	109	48	pc	pc	NOUN
bracis-19058	109	49	encoder	encoder	NOUN
bracis-19058	109	50	)	)	PUNCT
bracis-19058	109	51	,	,	PUNCT
bracis-19058	109	52	a	a	DET
bracis-19058	109	53	convolutional	convolutional	ADJ
bracis-19058	109	54	network	network	NOUN
bracis-19058	109	55	which	which	PRON
bracis-19058	109	56	extracts	extract	VERB
bracis-19058	109	57	,	,	PUNCT
bracis-19058	109	58	from	from	ADP
bracis-19058	109	59	signals	signal	NOUN
bracis-19058	109	60	of	of	ADP
bracis-19058	109	61	the	the	DET
bracis-19058	109	62	initialization	initialization	NOUN
bracis-19058	109	63	segment	segment	NOUN
bracis-19058	109	64	(	(	PUNCT
bracis-19058	109	65	including	include	VERB
bracis-19058	109	66	hr	hr	NOUN
bracis-19058	109	67	)	)	PUNCT
bracis-19058	109	68	,	,	PUNCT
bracis-19058	109	69	a	a	DET
bracis-19058	109	70	physical	physical	ADJ
bracis-19058	109	71	conditioning	conditioning	NOUN
bracis-19058	109	72	embedding	embed	VERB
bracis-19058	109	73	(	(	PUNCT
bracis-19058	109	74	pce	pce	NOUN
bracis-19058	109	75	)	)	PUNCT
bracis-19058	109	76	used	use	VERB
bracis-19058	109	77	for	for	ADP
bracis-19058	109	78	initializing	initialize	VERB
bracis-19058	109	79	the	the	DET
bracis-19058	109	80	lstm	lstm	PROPN
bracis-19058	109	81	’s	’s	PART
bracis-19058	109	82	hidden	hide	VERB
bracis-19058	109	83	vectors	vector	NOUN
bracis-19058	109	84	;	;	PUNCT
bracis-19058	109	85	the	the	DET
bracis-19058	109	86	discriminator	discriminator	NOUN
bracis-19058	109	87	,	,	PUNCT
bracis-19058	109	88	used	use	VERB
bracis-19058	109	89	to	to	PART
bracis-19058	109	90	force	force	VERB
bracis-19058	109	91	the	the	DET
bracis-19058	109	92	pce	pce	PROPN
bracis-19058	109	93	of	of	ADP
bracis-19058	109	94	a	a	DET
bracis-19058	109	95	given	give	VERB
bracis-19058	109	96	subject	subject	NOUN
bracis-19058	109	97	to	to	PART
bracis-19058	109	98	be	be	AUX
bracis-19058	109	99	similar	similar	ADJ
bracis-19058	109	100	across	across	ADP
bracis-19058	109	101	time	time	NOUN
bracis-19058	109	102	segments	segment	NOUN
bracis-19058	109	103	;	;	PUNCT
bracis-19058	109	104	the	the	DET
bracis-19058	109	105	state	state	NOUN
bracis-19058	109	106	updater	updater	NOUN
bracis-19058	109	107	,	,	PUNCT
bracis-19058	109	108	a	a	DET
bracis-19058	109	109	lstm	lstm	NOUN
bracis-19058	109	110	which	which	PRON
bracis-19058	109	111	maintains	maintain	VERB
bracis-19058	109	112	and	and	CCONJ
bracis-19058	109	113	updates	update	VERB
bracis-19058	109	114	the	the	DET
bracis-19058	109	115	subject	subject	NOUN
bracis-19058	109	116	’s	’s	PART
bracis-19058	109	117	state	state	NOUN
bracis-19058	109	118	,	,	PUNCT
bracis-19058	109	119	encoded	encode	VERB
bracis-19058	109	120	in	in	ADP
bracis-19058	109	121	its	its	PRON
bracis-19058	109	122	hidden	hide	VERB
bracis-19058	109	123	vectors	vector	NOUN
bracis-19058	109	124	;	;	PUNCT
bracis-19058	109	125	and	and	CCONJ
bracis-19058	109	126	the	the	DET
bracis-19058	109	127	prediction	prediction	NOUN
bracis-19058	109	128	decoder	decoder	NOUN
bracis-19058	109	129	,	,	PUNCT
bracis-19058	109	130	a	a	DET
bracis-19058	109	131	fully	fully	ADV
bracis-19058	109	132	-	-	PUNCT
bracis-19058	109	133	connected	connect	VERB
bracis-19058	109	134	network	network	NOUN
bracis-19058	109	135	which	which	PRON
bracis-19058	109	136	decodes	decode	VERB
bracis-19058	109	137	the	the	DET
bracis-19058	109	138	hr	hr	NOUN
bracis-19058	109	139	prediction	prediction	NOUN
bracis-19058	109	140	from	from	ADP
bracis-19058	109	141	the	the	DET
bracis-19058	109	142	state	state	NOUN
bracis-19058	109	143	tracked	track	VERB
bracis-19058	109	144	by	by	ADP
bracis-19058	109	145	the	the	DET
bracis-19058	109	146	state	state	NOUN
bracis-19058	109	147	updater	updater	NOUN
bracis-19058	109	148	.	.	PUNCT
bracis-19058	110	1	we	we	PRON
bracis-19058	110	2	emphasize	emphasize	VERB
bracis-19058	110	3	that	that	SCONJ
bracis-19058	110	4	instances	instance	NOUN
bracis-19058	110	5	of	of	ADP
bracis-19058	110	6	the	the	DET
bracis-19058	110	7	same	same	ADJ
bracis-19058	110	8	module	module	NOUN
bracis-19058	110	9	shares	share	NOUN
bracis-19058	110	10	the	the	DET
bracis-19058	110	11	same	same	ADJ
bracis-19058	110	12	weights	weight	NOUN
bracis-19058	110	13	.	.	PUNCT
bracis-19058	111	1	each	each	DET
bracis-19058	111	2	component	component	NOUN
bracis-19058	111	3	is	be	AUX
bracis-19058	111	4	described	describe	VERB
bracis-19058	111	5	in	in	ADP
bracis-19058	111	6	detail	detail	NOUN
bracis-19058	111	7	below	below	ADV
bracis-19058	111	8	.	.	PUNCT
bracis-19058	112	1	fig	fig	NOUN
bracis-19058	112	2	.	.	PUNCT
bracis-19058	113	1	2	2	X
bracis-19058	113	2	.	.	X
bracis-19058	113	3	pce	pce	PROPN
bracis-19058	113	4	-	-	PROPN
bracis-19058	113	5	lstm	lstm	PROPN
bracis-19058	113	6	(	(	PUNCT
bracis-19058	113	7	proposed	propose	VERB
bracis-19058	113	8	architecture	architecture	NOUN
bracis-19058	113	9	)	)	PUNCT
bracis-19058	113	10	.	.	PUNCT
bracis-19058	114	1	full	full	ADJ
bracis-19058	114	2	size	size	NOUN
bracis-19058	114	3	image	image	NOUN
bracis-19058	114	4	ts	ts	ADP
bracis-19058	114	5	encoder	encoder	NOUN
bracis-19058	114	6	:	:	PUNCT
bracis-19058	114	7	extracts	extract	NOUN
bracis-19058	114	8	features	feature	NOUN
bracis-19058	114	9	from	from	ADP
bracis-19058	114	10	one	one	NUM
bracis-19058	114	11	time	time	NOUN
bracis-19058	114	12	snippet	snippet	NOUN
bracis-19058	114	13	.	.	PUNCT
bracis-19058	115	1	we	we	PRON
bracis-19058	115	2	reckon	reckon	VERB
bracis-19058	115	3	the	the	DET
bracis-19058	115	4	role	role	NOUN
bracis-19058	115	5	of	of	ADP
bracis-19058	115	6	each	each	DET
bracis-19058	115	7	sensor	sensor	NOUN
bracis-19058	115	8	in	in	ADP
bracis-19058	115	9	the	the	DET
bracis-19058	115	10	description	description	NOUN
bracis-19058	115	11	of	of	ADP
bracis-19058	115	12	the	the	DET
bracis-19058	115	13	intensity	intensity	NOUN
bracis-19058	115	14	of	of	ADP
bracis-19058	115	15	an	an	DET
bracis-19058	115	16	activity	activity	NOUN
bracis-19058	115	17	as	as	ADP
bracis-19058	115	18	being	be	AUX
bracis-19058	115	19	equivalent	equivalent	ADJ
bracis-19058	115	20	to	to	ADP
bracis-19058	115	21	role	role	NOUN
bracis-19058	115	22	of	of	ADP
bracis-19058	115	23	each	each	DET
bracis-19058	115	24	rgb	rgb	PROPN
bracis-19058	115	25	channel	channel	NOUN
bracis-19058	115	26	in	in	ADP
bracis-19058	115	27	the	the	DET
bracis-19058	115	28	description	description	NOUN
bracis-19058	115	29	of	of	ADP
bracis-19058	115	30	a	a	DET
bracis-19058	115	31	picture	picture	NOUN
bracis-19058	115	32	.	.	PUNCT
bracis-19058	116	1	hence	hence	ADV
bracis-19058	116	2	,	,	PUNCT
bracis-19058	116	3	it	it	PRON
bracis-19058	116	4	is	be	AUX
bracis-19058	116	5	reasonable	reasonable	ADJ
bracis-19058	116	6	to	to	PART
bracis-19058	116	7	combine	combine	VERB
bracis-19058	116	8	them	they	PRON
bracis-19058	116	9	early	early	ADV
bracis-19058	116	10	in	in	ADP
bracis-19058	116	11	the	the	DET
bracis-19058	116	12	nn	nn	PROPN
bracis-19058	116	13	.	.	PROPN
bracis-19058	116	14	to	to	PART
bracis-19058	116	15	do	do	VERB
bracis-19058	116	16	so	so	ADV
bracis-19058	116	17	,	,	PUNCT
bracis-19058	116	18	we	we	PRON
bracis-19058	116	19	use	use	VERB
bracis-19058	116	20	1d	1d	NUM
bracis-19058	116	21	convolutions	convolution	NOUN
bracis-19058	116	22	along	along	ADP
bracis-19058	116	23	the	the	DET
bracis-19058	116	24	time	time	NOUN
bracis-19058	116	25	dimension	dimension	NOUN
bracis-19058	116	26	,	,	PUNCT
bracis-19058	116	27	with	with	ADP
bracis-19058	116	28	the	the	DET
bracis-19058	116	29	sensors	sensor	NOUN
bracis-19058	116	30	stacked	stack	VERB
bracis-19058	116	31	along	along	ADP
bracis-19058	116	32	the	the	DET
bracis-19058	116	33	channel	channel	NOUN
bracis-19058	116	34	dimension	dimension	NOUN
bracis-19058	116	35	.	.	PUNCT
bracis-19058	117	1	this	this	DET
bracis-19058	117	2	approach	approach	NOUN
bracis-19058	117	3	differs	differ	VERB
bracis-19058	117	4	from	from	ADP
bracis-19058	117	5	the	the	DET
bracis-19058	117	6	most	most	ADV
bracis-19058	117	7	well	well	ADV
bracis-19058	117	8	known	know	VERB
bracis-19058	117	9	architectures	architecture	NOUN
bracis-19058	117	10	in	in	ADP
bracis-19058	117	11	the	the	DET
bracis-19058	117	12	literature	literature	NOUN
bracis-19058	117	13	 	 	SPACE
bracis-19058	118	1	[	[	X
bracis-19058	118	2	1	1	NUM
bracis-19058	118	3	,	,	PUNCT
bracis-19058	118	4	16	16	NUM
bracis-19058	118	5	,	,	PUNCT
bracis-19058	118	6	17	17	NUM
bracis-19058	118	7	]	]	PUNCT
bracis-19058	118	8	which	which	PRON
bracis-19058	118	9	keep	keep	VERB
bracis-19058	118	10	the	the	DET
bracis-19058	118	11	transformations	transformation	NOUN
bracis-19058	118	12	on	on	ADP
bracis-19058	118	13	each	each	DET
bracis-19058	118	14	sensor	sensor	NOUN
bracis-19058	118	15	’s	’s	PART
bracis-19058	118	16	signals	signal	NOUN
bracis-19058	118	17	separate	separate	ADJ
bracis-19058	118	18	during	during	ADP
bracis-19058	118	19	the	the	DET
bracis-19058	118	20	convolutional	convolutional	ADJ
bracis-19058	118	21	section	section	NOUN
bracis-19058	118	22	of	of	ADP
bracis-19058	118	23	their	their	PRON
bracis-19058	118	24	architectures	architecture	NOUN
bracis-19058	118	25	by	by	ADP
bracis-19058	118	26	the	the	DET
bracis-19058	118	27	use	use	NOUN
bracis-19058	118	28	convolutional	convolutional	ADJ
bracis-19058	118	29	kernels	kernel	NOUN
bracis-19058	118	30	spanning	span	VERB
bracis-19058	118	31	a	a	DET
bracis-19058	118	32	single	single	ADJ
bracis-19058	118	33	sensor	sensor	NOUN
bracis-19058	118	34	,	,	PUNCT
bracis-19058	118	35	only	only	ADV
bracis-19058	118	36	combining	combine	VERB
bracis-19058	118	37	them	they	PRON
bracis-19058	118	38	later	later	ADV
bracis-19058	118	39	on	on	ADV
bracis-19058	118	40	.	.	PUNCT
bracis-19058	119	1	the	the	DET
bracis-19058	119	2	ts	ts	PROPN
bracis-19058	119	3	encoder	encoder	NOUN
bracis-19058	119	4	comprises	comprise	VERB
bracis-19058	119	5	multiple	multiple	ADJ
bracis-19058	119	6	layers	layer	NOUN
bracis-19058	119	7	,	,	PUNCT
bracis-19058	119	8	each	each	DET
bracis-19058	119	9	made	make	VERB
bracis-19058	119	10	of	of	ADP
bracis-19058	119	11	a	a	DET
bracis-19058	119	12	1d	1d	NUM
bracis-19058	119	13	convolution	convolution	NOUN
bracis-19058	119	14	followed	follow	VERB
bracis-19058	119	15	by	by	ADP
bracis-19058	119	16	a	a	DET
bracis-19058	119	17	leaky	leaky	ADJ
bracis-19058	119	18	rectified	rectified	ADJ
bracis-19058	119	19	linear	linear	ADJ
bracis-19058	119	20	unit	unit	NOUN
bracis-19058	119	21	activation	activation	NOUN
bracis-19058	119	22	and	and	CCONJ
bracis-19058	119	23	a	a	DET
bracis-19058	119	24	dropout	dropout	NOUN
bracis-19058	119	25	layer	layer	NOUN
bracis-19058	119	26	of	of	ADP
bracis-19058	119	27	rate	rate	NOUN
bracis-19058	119	28	tse\(_{\text	tse\(_{\text	X
bracis-19058	119	29	{	{	PUNCT
bracis-19058	119	30	dropout}}\	dropout}}\	PROPN
bracis-19058	119	31	)	)	PUNCT
bracis-19058	119	32	.	.	PUNCT
bracis-19058	120	1	after	after	ADP
bracis-19058	120	2	each	each	DET
bracis-19058	120	3	layer	layer	NOUN
bracis-19058	120	4	,	,	PUNCT
bracis-19058	120	5	the	the	DET
bracis-19058	120	6	tensor	tensor	NOUN
bracis-19058	120	7	length	length	NOUN
bracis-19058	120	8	\(\ell	\(\ell	PROPN
bracis-19058	120	9	\	\	NOUN
bracis-19058	120	10	)	)	PUNCT
bracis-19058	120	11	is	be	AUX
bracis-19058	120	12	reduced	reduce	VERB
bracis-19058	120	13	to	to	ADP
bracis-19058	120	14	\(\lfloor	\(\lfloor	ADV
bracis-19058	120	15	\ell	\ell	PROPN
bracis-19058	120	16	/	/	SYM
bracis-19058	120	17	2	2	NUM
bracis-19058	120	18	\rfloor	\rfloor	PROPN
bracis-19058	120	19	\	\	NOUN
bracis-19058	120	20	)	)	PUNCT
bracis-19058	120	21	by	by	ADP
bracis-19058	120	22	filters	filter	NOUN
bracis-19058	120	23	of	of	ADP
bracis-19058	120	24	size	size	NOUN
bracis-19058	120	25	3	3	NUM
bracis-19058	120	26	and	and	CCONJ
bracis-19058	120	27	stride	stride	ADJ
bracis-19058	120	28	2	2	NUM
bracis-19058	120	29	(	(	PUNCT
bracis-19058	120	30	when	when	SCONJ
bracis-19058	120	31	\(\ell	\(\ell	NOUN
bracis-19058	120	32	\	\	NOUN
bracis-19058	120	33	)	)	PUNCT
bracis-19058	120	34	is	be	AUX
bracis-19058	120	35	even	even	ADV
bracis-19058	120	36	,	,	PUNCT
bracis-19058	120	37	we	we	PRON
bracis-19058	120	38	use	use	VERB
bracis-19058	120	39	\(\text	\(\text	NOUN
bracis-19058	120	40	{	{	PUNCT
bracis-19058	120	41	padding}=1\	padding}=1\	PROPN
bracis-19058	120	42	)	)	PUNCT
bracis-19058	120	43	)	)	PUNCT
bracis-19058	120	44	,	,	PUNCT
bracis-19058	120	45	except	except	SCONJ
bracis-19058	120	46	when	when	SCONJ
bracis-19058	120	47	the	the	DET
bracis-19058	120	48	the	the	DET
bracis-19058	120	49	tensor	tensor	NOUN
bracis-19058	120	50	length	length	NOUN
bracis-19058	120	51	is	be	AUX
bracis-19058	120	52	2	2	NUM
bracis-19058	120	53	,	,	PUNCT
bracis-19058	120	54	in	in	ADP
bracis-19058	120	55	which	which	DET
bracis-19058	120	56	case	case	NOUN
bracis-19058	120	57	we	we	PRON
bracis-19058	120	58	use	use	VERB
bracis-19058	120	59	a	a	DET
bracis-19058	120	60	filter	filter	NOUN
bracis-19058	120	61	of	of	ADP
bracis-19058	120	62	size	size	NOUN
bracis-19058	120	63	2	2	NUM
bracis-19058	120	64	without	without	ADP
bracis-19058	120	65	padding	padding	NOUN
bracis-19058	120	66	.	.	PUNCT
bracis-19058	121	1	all	all	DET
bracis-19058	121	2	layers	layer	NOUN
bracis-19058	121	3	have	have	VERB
bracis-19058	121	4	tse\(_{f}\	tse\(_{f}\	NUM
bracis-19058	121	5	)	)	PUNCT
bracis-19058	121	6	filters	filter	NOUN
bracis-19058	121	7	,	,	PUNCT
bracis-19058	121	8	except	except	SCONJ
bracis-19058	121	9	the	the	DET
bracis-19058	121	10	last	last	ADJ
bracis-19058	121	11	layer	layer	NOUN
bracis-19058	121	12	,	,	PUNCT
bracis-19058	121	13	which	which	PRON
bracis-19058	121	14	has	have	VERB
bracis-19058	121	15	tse\(_\text	tse\(_\text	PROPN
bracis-19058	121	16	{	{	PUNCT
bracis-19058	121	17	out}\	out}\	NOUN
bracis-19058	121	18	)	)	PUNCT
bracis-19058	121	19	filters	filter	NOUN
bracis-19058	121	20	.	.	PUNCT
bracis-19058	122	1	the	the	DET
bracis-19058	122	2	number	number	NOUN
bracis-19058	122	3	of	of	ADP
bracis-19058	122	4	layers	layer	NOUN
bracis-19058	122	5	is	be	AUX
bracis-19058	122	6	\(\text	\(\text	NOUN
bracis-19058	122	7	{	{	PUNCT
bracis-19058	122	8	tse}_{n}=\lfloor	tse}_{n}=\lfloor	ADV
bracis-19058	122	9	\log	\log	PROPN
bracis-19058	122	10	_	_	PROPN
bracis-19058	122	11	{	{	PUNCT
bracis-19058	122	12	2}(\text	2}(\text	NUM
bracis-19058	122	13	{	{	PUNCT
bracis-19058	122	14	ts}_l)\rfloor	ts}_l)\rfloor	NOUN
bracis-19058	122	15	\	\	PROPN
bracis-19058	122	16	)	)	PUNCT
bracis-19058	122	17	,	,	PUNCT
bracis-19058	122	18	where	where	SCONJ
bracis-19058	122	19	ts\(_l\	ts\(_l\	NOUN
bracis-19058	122	20	)	)	PUNCT
bracis-19058	122	21	is	be	AUX
bracis-19058	122	22	the	the	DET
bracis-19058	122	23	length	length	NOUN
bracis-19058	122	24	of	of	ADP
bracis-19058	122	25	the	the	DET
bracis-19058	122	26	time	time	NOUN
bracis-19058	122	27	dimension	dimension	NOUN
bracis-19058	122	28	of	of	ADP
bracis-19058	122	29	the	the	DET
bracis-19058	122	30	ts	ts	NOUN
bracis-19058	122	31	,	,	PUNCT
bracis-19058	122	32	so	so	SCONJ
bracis-19058	122	33	as	as	SCONJ
bracis-19058	122	34	to	to	PART
bracis-19058	122	35	transform	transform	VERB
bracis-19058	122	36	the	the	DET
bracis-19058	122	37	size	size	NOUN
bracis-19058	122	38	of	of	ADP
bracis-19058	122	39	the	the	DET
bracis-19058	122	40	time	time	NOUN
bracis-19058	122	41	dimension	dimension	NOUN
bracis-19058	122	42	to	to	ADP
bracis-19058	122	43	one	one	NUM
bracis-19058	122	44	.	.	PUNCT
bracis-19058	123	1	the	the	DET
bracis-19058	123	2	vectors	vector	NOUN
bracis-19058	123	3	extracted	extract	VERB
bracis-19058	123	4	from	from	ADP
bracis-19058	123	5	each	each	DET
bracis-19058	123	6	time	time	NOUN
bracis-19058	123	7	snippet	snippet	NOUN
bracis-19058	123	8	of	of	ADP
bracis-19058	123	9	the	the	DET
bracis-19058	123	10	initialization	initialization	NOUN
bracis-19058	123	11	segment	segment	NOUN
bracis-19058	123	12	are	be	AUX
bracis-19058	123	13	concatenated	concatenate	VERB
bracis-19058	123	14	along	along	ADP
bracis-19058	123	15	the	the	DET
bracis-19058	123	16	time	time	NOUN
bracis-19058	123	17	dimension	dimension	NOUN
bracis-19058	123	18	,	,	PUNCT
bracis-19058	123	19	and	and	CCONJ
bracis-19058	123	20	the	the	DET
bracis-19058	123	21	hr	hr	NOUN
bracis-19058	123	22	of	of	ADP
bracis-19058	123	23	each	each	DET
bracis-19058	123	24	ts	ts	NOUN
bracis-19058	123	25	is	be	AUX
bracis-19058	123	26	concatenated	concatenate	VERB
bracis-19058	123	27	along	along	ADP
bracis-19058	123	28	the	the	DET
bracis-19058	123	29	feature	feature	NOUN
bracis-19058	123	30	dimension	dimension	NOUN
bracis-19058	123	31	before	before	ADP
bracis-19058	123	32	being	be	AUX
bracis-19058	123	33	passed	pass	VERB
bracis-19058	123	34	onto	onto	ADP
bracis-19058	123	35	the	the	DET
bracis-19058	123	36	next	next	ADJ
bracis-19058	123	37	component	component	NOUN
bracis-19058	123	38	.	.	PUNCT
bracis-19058	124	1	pc	pc	NOUN
bracis-19058	124	2	encoder	encoder	NOUN
bracis-19058	124	3	:	:	PUNCT
bracis-19058	124	4	takes	take	VERB
bracis-19058	124	5	the	the	DET
bracis-19058	124	6	vectors	vector	NOUN
bracis-19058	124	7	concatenated	concatenate	VERB
bracis-19058	124	8	in	in	ADP
bracis-19058	124	9	the	the	DET
bracis-19058	124	10	previous	previous	ADJ
bracis-19058	124	11	step	step	NOUN
bracis-19058	124	12	and	and	CCONJ
bracis-19058	124	13	extracts	extract	NOUN
bracis-19058	124	14	a	a	DET
bracis-19058	124	15	physical	physical	ADJ
bracis-19058	124	16	conditioning	conditioning	NOUN
bracis-19058	124	17	embedding	embed	VERB
bracis-19058	124	18	(	(	PUNCT
bracis-19058	124	19	pce	pce	NOUN
bracis-19058	124	20	)	)	PUNCT
bracis-19058	124	21	.	.	PUNCT
bracis-19058	125	1	it	it	PRON
bracis-19058	125	2	is	be	AUX
bracis-19058	125	3	a	a	DET
bracis-19058	125	4	multi	multi	ADJ
bracis-19058	125	5	-	-	ADJ
bracis-19058	125	6	layer	layer	ADJ
bracis-19058	125	7	convolutional	convolutional	ADJ
bracis-19058	125	8	network	network	NOUN
bracis-19058	125	9	that	that	PRON
bracis-19058	125	10	transforms	transform	VERB
bracis-19058	125	11	the	the	DET
bracis-19058	125	12	2d	2d	NOUN
bracis-19058	125	13	-	-	PUNCT
bracis-19058	125	14	input	input	NOUN
bracis-19058	125	15	(	(	PUNCT
bracis-19058	125	16	\((\text	\((\text	PROPN
bracis-19058	125	17	{	{	PUNCT
bracis-19058	125	18	tse}_{\text	tse}_{\text	NOUN
bracis-19058	125	19	{	{	PUNCT
bracis-19058	125	20	out}}+1	out}}+1	NOUN
bracis-19058	125	21	)	)	PUNCT
bracis-19058	125	22	\times	\times	ADP
bracis-19058	125	23	i\	i\	NOUN
bracis-19058	125	24	)	)	PUNCT
bracis-19058	125	25	)	)	PUNCT
bracis-19058	125	26	into	into	ADP
bracis-19058	125	27	a	a	DET
bracis-19058	125	28	single	single	ADJ
bracis-19058	125	29	vector	vector	NOUN
bracis-19058	125	30	of	of	ADP
bracis-19058	125	31	length	length	NOUN
bracis-19058	125	32	pce\(_\text	pce\(_\text	PROPN
bracis-19058	125	33	{	{	PUNCT
bracis-19058	125	34	out}\	out}\	PROPN
bracis-19058	125	35	)	)	PUNCT
bracis-19058	125	36	.	.	PUNCT
bracis-19058	126	1	its	its	PRON
bracis-19058	126	2	convolutional	convolutional	ADJ
bracis-19058	126	3	architecture	architecture	NOUN
bracis-19058	126	4	is	be	AUX
bracis-19058	126	5	designed	design	VERB
bracis-19058	126	6	with	with	ADP
bracis-19058	126	7	the	the	DET
bracis-19058	126	8	same	same	ADJ
bracis-19058	126	9	principles	principle	NOUN
bracis-19058	126	10	as	as	ADP
bracis-19058	126	11	the	the	DET
bracis-19058	126	12	ts	ts	ADJ
bracis-19058	126	13	encoder	encoder	NOUN
bracis-19058	126	14	.	.	PUNCT
bracis-19058	127	1	figure	figure	VERB
bracis-19058	127	2	 	 	SPACE
bracis-19058	127	3	2	2	NUM
bracis-19058	127	4	shows	show	VERB
bracis-19058	127	5	the	the	DET
bracis-19058	127	6	pc	pc	NOUN
bracis-19058	127	7	encoder	encoder	NOUN
bracis-19058	127	8	in	in	ADP
bracis-19058	127	9	detail	detail	NOUN
bracis-19058	127	10	.	.	PUNCT
bracis-19058	128	1	from	from	ADP
bracis-19058	128	2	the	the	DET
bracis-19058	128	3	pce	pce	PROPN
bracis-19058	128	4	,	,	PUNCT
bracis-19058	128	5	the	the	DET
bracis-19058	128	6	lstm	lstm	PROPN
bracis-19058	128	7	’s	’s	PART
bracis-19058	128	8	hidden	hide	VERB
bracis-19058	128	9	state	state	NOUN
bracis-19058	128	10	and	and	CCONJ
bracis-19058	128	11	cell	cell	NOUN
bracis-19058	128	12	state	state	NOUN
bracis-19058	128	13	vectors	vector	NOUN
bracis-19058	128	14	are	be	AUX
bracis-19058	128	15	computed	compute	VERB
bracis-19058	128	16	using	use	VERB
bracis-19058	128	17	a	a	DET
bracis-19058	128	18	single	single	ADJ
bracis-19058	128	19	linear	linear	NOUN
bracis-19058	128	20	layer	layer	NOUN
bracis-19058	128	21	each	each	PRON
bracis-19058	128	22	,	,	PUNCT
bracis-19058	128	23	represented	represent	VERB
bracis-19058	128	24	in	in	ADP
bracis-19058	128	25	fig	fig	NOUN
bracis-19058	128	26	.	.	PUNCT
bracis-19058	128	27	 	 	SPACE
bracis-19058	129	1	2	2	NUM
bracis-19058	129	2	by	by	ADP
bracis-19058	129	3	fc\(_h\	fc\(_h\	NOUN
bracis-19058	129	4	)	)	PUNCT
bracis-19058	129	5	and	and	CCONJ
bracis-19058	129	6	fc\(_c\	fc\(_c\	NOUN
bracis-19058	129	7	)	)	PUNCT
bracis-19058	129	8	.	.	PUNCT
bracis-19058	130	1	state	state	NOUN
bracis-19058	130	2	updater	updater	PROPN
bracis-19058	130	3	:	:	PUNCT
bracis-19058	130	4	is	be	AUX
bracis-19058	130	5	a	a	DET
bracis-19058	130	6	standard	standard	ADJ
bracis-19058	130	7	lstm	lstm	NOUN
bracis-19058	130	8	with	with	ADP
bracis-19058	130	9	both	both	DET
bracis-19058	130	10	state	state	NOUN
bracis-19058	130	11	vectors	vector	NOUN
bracis-19058	130	12	(	(	PUNCT
bracis-19058	130	13	cell	cell	NOUN
bracis-19058	130	14	and	and	CCONJ
bracis-19058	130	15	hidden	hidden	ADJ
bracis-19058	130	16	state	state	NOUN
bracis-19058	130	17	’s	’s	NOUN
bracis-19058	130	18	)	)	PUNCT
bracis-19058	130	19	of	of	ADP
bracis-19058	130	20	size	size	NOUN
bracis-19058	130	21	lstm\(_h\	lstm\(_h\	NOUN
bracis-19058	130	22	)	)	PUNCT
bracis-19058	130	23	,	,	PUNCT
bracis-19058	130	24	and	and	CCONJ
bracis-19058	130	25	input	input	NOUN
bracis-19058	130	26	of	of	ADP
bracis-19058	130	27	size	size	NOUN
bracis-19058	130	28	tse\(_{\text	tse\(_{\text	ADP
bracis-19058	130	29	{	{	PUNCT
bracis-19058	130	30	out}}\	out}}\	PROPN
bracis-19058	130	31	)	)	PUNCT
bracis-19058	130	32	.	.	PUNCT
bracis-19058	131	1	these	these	DET
bracis-19058	131	2	state	state	NOUN
bracis-19058	131	3	vectors	vector	NOUN
bracis-19058	131	4	are	be	AUX
bracis-19058	131	5	initialized	initialize	VERB
bracis-19058	131	6	by	by	ADP
bracis-19058	131	7	the	the	DET
bracis-19058	131	8	pc	pc	NOUN
bracis-19058	131	9	encoder	encoder	NOUN
bracis-19058	131	10	using	use	VERB
bracis-19058	131	11	only	only	ADJ
bracis-19058	131	12	signals	signal	NOUN
bracis-19058	131	13	from	from	ADP
bracis-19058	131	14	the	the	DET
bracis-19058	131	15	initialization	initialization	NOUN
bracis-19058	131	16	segment	segment	NOUN
bracis-19058	131	17	.	.	PUNCT
bracis-19058	132	1	the	the	DET
bracis-19058	132	2	lstm	lstm	NOUN
bracis-19058	132	3	is	be	AUX
bracis-19058	132	4	then	then	ADV
bracis-19058	132	5	fed	feed	VERB
bracis-19058	132	6	with	with	ADP
bracis-19058	132	7	the	the	DET
bracis-19058	132	8	deep	deep	ADJ
bracis-19058	132	9	attributes	attribute	NOUN
bracis-19058	132	10	extracted	extract	VERB
bracis-19058	132	11	by	by	ADP
bracis-19058	132	12	the	the	DET
bracis-19058	132	13	ts	ts	ADJ
bracis-19058	132	14	encoder	encoder	NOUN
bracis-19058	132	15	from	from	ADP
bracis-19058	132	16	each	each	DET
bracis-19058	132	17	time	time	NOUN
bracis-19058	132	18	snippet	snippet	NOUN
bracis-19058	132	19	.	.	PUNCT
bracis-19058	133	1	prediction	prediction	NOUN
bracis-19058	133	2	decoder	decoder	NOUN
bracis-19058	133	3	:	:	PUNCT
bracis-19058	133	4	takes	take	VERB
bracis-19058	133	5	the	the	DET
bracis-19058	133	6	hidden	hidden	ADJ
bracis-19058	133	7	state	state	NOUN
bracis-19058	133	8	representation	representation	NOUN
bracis-19058	133	9	for	for	ADP
bracis-19058	133	10	each	each	DET
bracis-19058	133	11	time	time	NOUN
bracis-19058	133	12	snippet	snippet	NOUN
bracis-19058	133	13	from	from	ADP
bracis-19058	133	14	the	the	DET
bracis-19058	133	15	state	state	NOUN
bracis-19058	133	16	updater	updater	NOUN
bracis-19058	133	17	and	and	CCONJ
bracis-19058	133	18	computes	compute	VERB
bracis-19058	133	19	the	the	DET
bracis-19058	133	20	prediction	prediction	NOUN
bracis-19058	133	21	from	from	ADP
bracis-19058	133	22	these	these	DET
bracis-19058	133	23	representations	representation	NOUN
bracis-19058	133	24	.	.	PUNCT
bracis-19058	134	1	it	it	PRON
bracis-19058	134	2	is	be	AUX
bracis-19058	134	3	made	make	VERB
bracis-19058	134	4	of	of	ADP
bracis-19058	134	5	three	three	NUM
bracis-19058	134	6	fully	fully	ADV
bracis-19058	134	7	connected	connected	ADJ
bracis-19058	134	8	layers	layer	NOUN
bracis-19058	134	9	,	,	PUNCT
bracis-19058	134	10	where	where	SCONJ
bracis-19058	134	11	the	the	DET
bracis-19058	134	12	first	first	ADJ
bracis-19058	134	13	two	two	NUM
bracis-19058	134	14	layers	layer	NOUN
bracis-19058	134	15	have	have	VERB
bracis-19058	134	16	32	32	NUM
bracis-19058	134	17	neurons	neuron	NOUN
bracis-19058	134	18	,	,	PUNCT
bracis-19058	134	19	each	each	PRON
bracis-19058	134	20	followed	follow	VERB
bracis-19058	134	21	by	by	ADP
bracis-19058	134	22	a	a	DET
bracis-19058	134	23	relu	relu	NOUN
bracis-19058	134	24	activation	activation	NOUN
bracis-19058	134	25	function	function	NOUN
bracis-19058	134	26	,	,	PUNCT
bracis-19058	134	27	and	and	CCONJ
bracis-19058	134	28	the	the	DET
bracis-19058	134	29	last	last	ADJ
bracis-19058	134	30	layer	layer	NOUN
bracis-19058	134	31	have	have	VERB
bracis-19058	134	32	lstm\(_h\	lstm\(_h\	NOUN
bracis-19058	134	33	)	)	PUNCT
bracis-19058	134	34	neurons	neuron	NOUN
bracis-19058	134	35	,	,	PUNCT
bracis-19058	134	36	without	without	ADP
bracis-19058	134	37	activation	activation	NOUN
bracis-19058	134	38	function	function	NOUN
bracis-19058	134	39	,	,	PUNCT
bracis-19058	134	40	outputting	output	VERB
bracis-19058	134	41	the	the	DET
bracis-19058	134	42	predicted	predict	VERB
bracis-19058	134	43	hr	hr	NOUN
bracis-19058	134	44	.	.	PUNCT
bracis-19058	135	1	we	we	PRON
bracis-19058	135	2	use	use	VERB
bracis-19058	135	3	the	the	DET
bracis-19058	135	4	mean	mean	ADJ
bracis-19058	135	5	absolute	absolute	ADJ
bracis-19058	135	6	error	error	NOUN
bracis-19058	135	7	(	(	PUNCT
bracis-19058	135	8	\(\ell	\(\ell	X
bracis-19058	135	9	_	_	PRON
bracis-19058	135	10	1\	1\	NUM
bracis-19058	135	11	)	)	PUNCT
bracis-19058	135	12	loss	loss	NOUN
bracis-19058	135	13	)	)	PUNCT
bracis-19058	135	14	as	as	ADP
bracis-19058	135	15	the	the	DET
bracis-19058	135	16	cost	cost	NOUN
bracis-19058	135	17	function	function	NOUN
bracis-19058	135	18	\(l_\text	\(l_\text	PROPN
bracis-19058	135	19	{	{	PUNCT
bracis-19058	135	20	hr}\	hr}\	NOUN
bracis-19058	135	21	)	)	PUNCT
bracis-19058	135	22	associated	associate	VERB
bracis-19058	135	23	with	with	ADP
bracis-19058	135	24	this	this	DET
bracis-19058	135	25	output	output	NOUN
bracis-19058	135	26	because	because	SCONJ
bracis-19058	135	27	using	use	VERB
bracis-19058	135	28	the	the	DET
bracis-19058	135	29	\(\ell	\(\ell	NOUN
bracis-19058	135	30	_	_	NOUN
bracis-19058	135	31	2\	2\	NUM
bracis-19058	135	32	)	)	PUNCT
bracis-19058	135	33	loss	loss	NOUN
bracis-19058	135	34	hampers	hamper	NOUN
bracis-19058	135	35	training	training	NOUN
bracis-19058	135	36	as	as	ADP
bracis-19058	135	37	larger	large	ADJ
bracis-19058	135	38	differences	difference	NOUN
bracis-19058	135	39	between	between	ADP
bracis-19058	135	40	the	the	DET
bracis-19058	135	41	predicted	predict	VERB
bracis-19058	135	42	and	and	CCONJ
bracis-19058	135	43	actual	actual	ADJ
bracis-19058	135	44	hr	hr	NOUN
bracis-19058	135	45	have	have	VERB
bracis-19058	135	46	an	an	DET
bracis-19058	135	47	out	out	ADV
bracis-19058	135	48	-	-	PUNCT
bracis-19058	135	49	sized	sized	ADJ
bracis-19058	135	50	impact	impact	NOUN
bracis-19058	135	51	on	on	ADP
bracis-19058	135	52	the	the	DET
bracis-19058	135	53	loss	loss	NOUN
bracis-19058	135	54	,	,	PUNCT
bracis-19058	135	55	according	accord	VERB
bracis-19058	135	56	to	to	ADP
bracis-19058	135	57	our	our	PRON
bracis-19058	135	58	preliminary	preliminary	ADJ
bracis-19058	135	59	experiments	experiment	NOUN
bracis-19058	135	60	.	.	PUNCT
bracis-19058	136	1	discriminator	discriminator	NOUN
bracis-19058	136	2	:	:	PUNCT
bracis-19058	136	3	given	give	VERB
bracis-19058	136	4	the	the	DET
bracis-19058	136	5	benefits	benefit	NOUN
bracis-19058	136	6	of	of	ADP
bracis-19058	136	7	multi	multi	ADJ
bracis-19058	136	8	-	-	NOUN
bracis-19058	136	9	task	task	ADJ
bracis-19058	136	10	learning	learning	NOUN
bracis-19058	136	11	we	we	PRON
bracis-19058	136	12	propose	propose	VERB
bracis-19058	136	13	the	the	DET
bracis-19058	136	14	simultaneous	simultaneous	ADJ
bracis-19058	136	15	training	training	NOUN
bracis-19058	136	16	of	of	ADP
bracis-19058	136	17	the	the	DET
bracis-19058	136	18	model	model	NOUN
bracis-19058	136	19	on	on	ADP
bracis-19058	136	20	a	a	DET
bracis-19058	136	21	constructed	construct	VERB
bracis-19058	136	22	task	task	NOUN
bracis-19058	136	23	in	in	ADP
bracis-19058	136	24	which	which	PRON
bracis-19058	136	25	the	the	DET
bracis-19058	136	26	pce	pce	PROPN
bracis-19058	136	27	is	be	AUX
bracis-19058	136	28	used	use	VERB
bracis-19058	136	29	to	to	PART
bracis-19058	136	30	distinguish	distinguish	VERB
bracis-19058	136	31	between	between	ADP
bracis-19058	136	32	individuals	individual	NOUN
bracis-19058	136	33	.	.	PUNCT
bracis-19058	137	1	assuming	assume	VERB
bracis-19058	137	2	a	a	DET
bracis-19058	137	3	subject	subject	NOUN
bracis-19058	137	4	’s	’s	PART
bracis-19058	137	5	physical	physical	ADJ
bracis-19058	137	6	conditioning	conditioning	NOUN
bracis-19058	137	7	as	as	ADP
bracis-19058	137	8	constant	constant	ADJ
bracis-19058	137	9	in	in	ADP
bracis-19058	137	10	the	the	DET
bracis-19058	137	11	short	short	ADJ
bracis-19058	137	12	term	term	NOUN
bracis-19058	137	13	,	,	PUNCT
bracis-19058	137	14	we	we	PRON
bracis-19058	137	15	reason	reason	VERB
bracis-19058	137	16	that	that	SCONJ
bracis-19058	137	17	employing	employ	VERB
bracis-19058	137	18	a	a	DET
bracis-19058	137	19	network	network	NOUN
bracis-19058	137	20	to	to	PART
bracis-19058	137	21	discriminate	discriminate	VERB
bracis-19058	137	22	whether	whether	SCONJ
bracis-19058	137	23	two	two	NUM
bracis-19058	137	24	pces	pce	NOUN
bracis-19058	137	25	belong	belong	VERB
bracis-19058	137	26	to	to	ADP
bracis-19058	137	27	same	same	ADJ
bracis-19058	137	28	person	person	NOUN
bracis-19058	137	29	will	will	AUX
bracis-19058	137	30	foster	foster	VERB
bracis-19058	137	31	better	well	ADJ
bracis-19058	137	32	embeddings	embedding	NOUN
bracis-19058	137	33	,	,	PUNCT
bracis-19058	137	34	when	when	SCONJ
bracis-19058	137	35	trained	train	VERB
bracis-19058	137	36	jointly	jointly	ADV
bracis-19058	137	37	with	with	ADP
bracis-19058	137	38	pce	pce	PROPN
bracis-19058	137	39	-	-	ADJ
bracis-19058	137	40	lstmfootnote	lstmfootnote	ADJ
bracis-19058	137	41	2	2	NUM
bracis-19058	137	42	.	.	PUNCT
bracis-19058	137	43	to	to	PART
bracis-19058	137	44	train	train	VERB
bracis-19058	137	45	the	the	DET
bracis-19058	137	46	discriminator	discriminator	NOUN
bracis-19058	137	47	,	,	PUNCT
bracis-19058	137	48	for	for	ADP
bracis-19058	137	49	each	each	DET
bracis-19058	137	50	segment	segment	NOUN
bracis-19058	137	51	in	in	ADP
bracis-19058	137	52	the	the	DET
bracis-19058	137	53	training	training	NOUN
bracis-19058	137	54	set	set	NOUN
bracis-19058	137	55	,	,	PUNCT
bracis-19058	137	56	we	we	PRON
bracis-19058	137	57	sample	sample	VERB
bracis-19058	137	58	another	another	DET
bracis-19058	137	59	segment	segment	NOUN
bracis-19058	137	60	from	from	ADP
bracis-19058	137	61	the	the	DET
bracis-19058	137	62	same	same	ADJ
bracis-19058	137	63	individual	individual	NOUN
bracis-19058	137	64	with	with	ADP
bracis-19058	137	65	probability	probability	NOUN
bracis-19058	137	66	0.50	0.50	NUM
bracis-19058	137	67	and	and	CCONJ
bracis-19058	137	68	from	from	ADP
bracis-19058	137	69	a	a	DET
bracis-19058	137	70	different	different	ADJ
bracis-19058	137	71	individual	individual	NOUN
bracis-19058	137	72	with	with	ADP
bracis-19058	137	73	probability	probability	NOUN
bracis-19058	137	74	0.50	0.50	NUM
bracis-19058	137	75	.	.	PUNCT
bracis-19058	138	1	for	for	ADP
bracis-19058	138	2	each	each	DET
bracis-19058	138	3	pair	pair	NOUN
bracis-19058	138	4	,	,	PUNCT
bracis-19058	138	5	we	we	PRON
bracis-19058	138	6	measure	measure	VERB
bracis-19058	138	7	the	the	DET
bracis-19058	138	8	cross	cross	NOUN
bracis-19058	138	9	entropy	entropy	NOUN
bracis-19058	138	10	as	as	ADP
bracis-19058	138	11	the	the	DET
bracis-19058	138	12	loss	loss	NOUN
bracis-19058	138	13	function	function	NOUN
bracis-19058	138	14	(	(	PUNCT
bracis-19058	138	15	\(l_d\	\(l_d\	NOUN
bracis-19058	138	16	)	)	PUNCT
bracis-19058	138	17	)	)	PUNCT
bracis-19058	138	18	.	.	PUNCT
bracis-19058	139	1	we	we	PRON
bracis-19058	139	2	set	set	VERB
bracis-19058	139	3	the	the	DET
bracis-19058	139	4	weight	weight	NOUN
bracis-19058	139	5	of	of	ADP
bracis-19058	139	6	the	the	DET
bracis-19058	139	7	discrimination	discrimination	NOUN
bracis-19058	139	8	loss	loss	NOUN
bracis-19058	139	9	to	to	ADP
bracis-19058	139	10	10	10	NUM
bracis-19058	139	11	%	%	NOUN
bracis-19058	139	12	of	of	ADP
bracis-19058	139	13	the	the	DET
bracis-19058	139	14	total	total	NOUN
bracis-19058	139	15	loss.footnote	loss.footnote	NOUN
bracis-19058	139	16	3	3	NUM
bracis-19058	139	17	hence	hence	ADV
bracis-19058	139	18	,	,	PUNCT
bracis-19058	139	19	the	the	DET
bracis-19058	139	20	total	total	ADJ
bracis-19058	139	21	loss	loss	NOUN
bracis-19058	139	22	\(l_\text	\(l_\text	PROPN
bracis-19058	139	23	{	{	PUNCT
bracis-19058	139	24	total}\	total}\	NOUN
bracis-19058	139	25	)	)	PUNCT
bracis-19058	139	26	is	be	AUX
bracis-19058	139	27	given	give	VERB
bracis-19058	139	28	by	by	ADP
bracis-19058	139	29	\(l_\text	\(l_\text	PROPN
bracis-19058	139	30	{	{	PUNCT
bracis-19058	139	31	total	total	NOUN
bracis-19058	139	32	}	}	PUNCT
bracis-19058	139	33	=	=	SYM
bracis-19058	140	1	0.9	0.9	NUM
bracis-19058	140	2	l_\text	l_\text	NOUN
bracis-19058	140	3	{	{	PUNCT
bracis-19058	140	4	hr	hr	NOUN
bracis-19058	140	5	}	}	PUNCT
bracis-19058	140	6	+	+	NUM
bracis-19058	140	7	0.1	0.1	NUM
bracis-19058	140	8	l_d	l_d	PUNCT
bracis-19058	140	9	\	\	NOUN
bracis-19058	140	10	)	)	PUNCT
bracis-19058	140	11	.	.	PUNCT
bracis-19058	141	1	this	this	DET
bracis-19058	141	2	component	component	NOUN
bracis-19058	141	3	is	be	AUX
bracis-19058	141	4	the	the	DET
bracis-19058	141	5	head	head	NOUN
bracis-19058	141	6	of	of	ADP
bracis-19058	141	7	a	a	DET
bracis-19058	141	8	siamese	siamese	ADJ
bracis-19058	141	9	network	network	NOUN
bracis-19058	141	10	and	and	CCONJ
bracis-19058	141	11	is	be	AUX
bracis-19058	141	12	completely	completely	ADV
bracis-19058	141	13	optional	optional	ADJ
bracis-19058	141	14	,	,	PUNCT
bracis-19058	141	15	being	be	AUX
bracis-19058	141	16	used	use	VERB
bracis-19058	141	17	exclusively	exclusively	ADV
bracis-19058	141	18	to	to	PART
bracis-19058	141	19	improve	improve	VERB
bracis-19058	141	20	the	the	DET
bracis-19058	141	21	performance	performance	NOUN
bracis-19058	141	22	of	of	ADP
bracis-19058	141	23	the	the	DET
bracis-19058	141	24	model	model	NOUN
bracis-19058	141	25	.	.	PUNCT
bracis-19058	142	1	the	the	DET
bracis-19058	142	2	discriminator	discriminator	NOUN
bracis-19058	142	3	’s	’s	PART
bracis-19058	142	4	chosen	choose	VERB
bracis-19058	142	5	architecture	architecture	NOUN
bracis-19058	142	6	is	be	AUX
bracis-19058	142	7	comprised	comprise	VERB
bracis-19058	142	8	of	of	ADP
bracis-19058	142	9	5	5	NUM
bracis-19058	142	10	fully	fully	ADV
bracis-19058	142	11	connected	connect	VERB
bracis-19058	142	12	linear	linear	ADJ
bracis-19058	142	13	layers	layer	NOUN
bracis-19058	142	14	,	,	PUNCT
bracis-19058	142	15	each	each	PRON
bracis-19058	142	16	with	with	ADP
bracis-19058	142	17	64	64	NUM
bracis-19058	142	18	neurons	neuron	NOUN
bracis-19058	142	19	and	and	CCONJ
bracis-19058	142	20	followed	follow	VERB
bracis-19058	142	21	by	by	ADP
bracis-19058	142	22	relu	relu	NOUN
bracis-19058	142	23	activation	activation	NOUN
bracis-19058	142	24	function	function	NOUN
bracis-19058	142	25	and	and	CCONJ
bracis-19058	142	26	a	a	DET
bracis-19058	142	27	dropout	dropout	NOUN
bracis-19058	142	28	rate	rate	NOUN
bracis-19058	142	29	of	of	ADP
bracis-19058	142	30	0.15	0.15	NUM
bracis-19058	142	31	,	,	PUNCT
bracis-19058	142	32	except	except	SCONJ
bracis-19058	142	33	for	for	ADP
bracis-19058	142	34	the	the	DET
bracis-19058	142	35	last	last	ADJ
bracis-19058	142	36	layer	layer	NOUN
bracis-19058	142	37	,	,	PUNCT
bracis-19058	142	38	which	which	PRON
bracis-19058	142	39	uses	use	VERB
bracis-19058	142	40	a	a	DET
bracis-19058	142	41	sigmoid	sigmoid	NOUN
bracis-19058	142	42	activation	activation	NOUN
bracis-19058	142	43	function	function	NOUN
bracis-19058	142	44	.	.	PUNCT
bracis-19058	143	1	this	this	DET
bracis-19058	143	2	network	network	NOUN
bracis-19058	143	3	receives	receive	VERB
bracis-19058	143	4	two	two	NUM
bracis-19058	143	5	pces	pce	NOUN
bracis-19058	143	6	(	(	PUNCT
bracis-19058	143	7	concatenated	concatenate	VERB
bracis-19058	143	8	)	)	PUNCT
bracis-19058	143	9	and	and	CCONJ
bracis-19058	143	10	outputs	output	VERB
bracis-19058	143	11	a	a	DET
bracis-19058	143	12	probability	probability	NOUN
bracis-19058	143	13	.	.	PUNCT
bracis-19058	144	1	3.1	3.1	NUM
bracis-19058	144	2	adaptations	adaptation	NOUN
bracis-19058	144	3	for	for	ADP
bracis-19058	144	4	 	 	SPACE
bracis-19058	144	5	ppg	ppg	PROPN
bracis-19058	144	6	-	-	PUNCT
bracis-19058	144	7	based	base	VERB
bracis-19058	144	8	hr	hr	NOUN
bracis-19058	144	9	estimation	estimation	NOUN
bracis-19058	144	10	the	the	DET
bracis-19058	144	11	task	task	NOUN
bracis-19058	144	12	of	of	ADP
bracis-19058	144	13	ppg	ppg	PROPN
bracis-19058	144	14	-	-	PUNCT
bracis-19058	144	15	based	base	VERB
bracis-19058	144	16	hr	hr	NOUN
bracis-19058	144	17	estimation	estimation	NOUN
bracis-19058	144	18	has	have	VERB
bracis-19058	144	19	3	3	NUM
bracis-19058	144	20	main	main	ADJ
bracis-19058	144	21	distinctions	distinction	NOUN
bracis-19058	144	22	from	from	ADP
bracis-19058	144	23	the	the	DET
bracis-19058	144	24	imu	imu	NOUN
bracis-19058	144	25	-	-	PUNCT
bracis-19058	144	26	only	only	ADV
bracis-19058	144	27	hr	hr	NOUN
bracis-19058	144	28	estimation	estimation	NOUN
bracis-19058	144	29	and	and	CCONJ
bracis-19058	144	30	hence	hence	ADV
bracis-19058	144	31	requires	require	VERB
bracis-19058	144	32	a	a	DET
bracis-19058	144	33	few	few	ADJ
bracis-19058	144	34	adaptations	adaptation	NOUN
bracis-19058	144	35	to	to	ADP
bracis-19058	144	36	our	our	PRON
bracis-19058	144	37	method	method	NOUN
bracis-19058	144	38	.	.	PUNCT
bracis-19058	145	1	first	first	ADV
bracis-19058	145	2	,	,	PUNCT
bracis-19058	145	3	the	the	DET
bracis-19058	145	4	ppg	ppg	NOUN
bracis-19058	145	5	signal	signal	NOUN
bracis-19058	145	6	is	be	AUX
bracis-19058	145	7	best	well	ADV
bracis-19058	145	8	represented	represent	VERB
bracis-19058	145	9	in	in	ADP
bracis-19058	145	10	the	the	DET
bracis-19058	145	11	frequency	frequency	NOUN
bracis-19058	145	12	domain	domain	NOUN
bracis-19058	145	13	;	;	PUNCT
bracis-19058	145	14	second	second	X
bracis-19058	145	15	,	,	PUNCT
bracis-19058	145	16	the	the	DET
bracis-19058	145	17	ppg	ppg	NOUN
bracis-19058	145	18	signal	signal	NOUN
bracis-19058	145	19	is	be	AUX
bracis-19058	145	20	more	more	ADV
bracis-19058	145	21	important	important	ADJ
bracis-19058	145	22	than	than	ADP
bracis-19058	145	23	the	the	DET
bracis-19058	145	24	other	other	ADJ
bracis-19058	145	25	signals	signal	NOUN
bracis-19058	145	26	since	since	SCONJ
bracis-19058	145	27	it	it	PRON
bracis-19058	145	28	is	be	AUX
bracis-19058	145	29	a	a	DET
bracis-19058	145	30	rough	rough	ADJ
bracis-19058	145	31	estimate	estimate	NOUN
bracis-19058	145	32	of	of	ADP
bracis-19058	145	33	the	the	DET
bracis-19058	145	34	hr	hr	NOUN
bracis-19058	145	35	;	;	PUNCT
bracis-19058	145	36	third	third	ADV
bracis-19058	145	37	,	,	PUNCT
bracis-19058	145	38	for	for	ADP
bracis-19058	145	39	ppg	ppg	NOUN
bracis-19058	145	40	-	-	PUNCT
bracis-19058	145	41	based	base	VERB
bracis-19058	145	42	hr	hr	NOUN
bracis-19058	145	43	estimation	estimation	NOUN
bracis-19058	145	44	,	,	PUNCT
bracis-19058	145	45	a	a	DET
bracis-19058	145	46	ground	ground	NOUN
bracis-19058	145	47	truth	truth	NOUN
bracis-19058	145	48	hr	hr	NOUN
bracis-19058	145	49	is	be	AUX
bracis-19058	145	50	not	not	PART
bracis-19058	145	51	usually	usually	ADV
bracis-19058	145	52	available	available	ADJ
bracis-19058	145	53	.	.	PUNCT
bracis-19058	146	1	to	to	PART
bracis-19058	146	2	deal	deal	VERB
bracis-19058	146	3	with	with	ADP
bracis-19058	146	4	these	these	DET
bracis-19058	146	5	differences	difference	NOUN
bracis-19058	146	6	,	,	PUNCT
bracis-19058	146	7	we	we	PRON
bracis-19058	146	8	modified	modify	VERB
bracis-19058	146	9	the	the	DET
bracis-19058	146	10	ts	ts	ADJ
bracis-19058	146	11	encoder	encoder	NOUN
bracis-19058	146	12	sub	sub	NOUN
bracis-19058	146	13	-	-	NOUN
bracis-19058	146	14	network	network	NOUN
bracis-19058	146	15	to	to	PART
bracis-19058	146	16	comprise	comprise	VERB
bracis-19058	146	17	two	two	NUM
bracis-19058	146	18	ts	ts	ADP
bracis-19058	146	19	encoder	encoder	NOUN
bracis-19058	146	20	architectures	architecture	NOUN
bracis-19058	146	21	,	,	PUNCT
bracis-19058	146	22	one	one	NUM
bracis-19058	146	23	for	for	ADP
bracis-19058	146	24	the	the	DET
bracis-19058	146	25	raw	raw	ADJ
bracis-19058	146	26	ppg	ppg	NOUN
bracis-19058	146	27	and	and	CCONJ
bracis-19058	146	28	imu	imu	NOUN
bracis-19058	146	29	signals	signal	NOUN
bracis-19058	146	30	(	(	PUNCT
bracis-19058	146	31	\(\text	\(\text	NOUN
bracis-19058	146	32	{	{	PUNCT
bracis-19058	146	33	tse}_{\text	tse}_{\text	NOUN
bracis-19058	146	34	{	{	PUNCT
bracis-19058	146	35	raw}}\	raw}}\	PROPN
bracis-19058	146	36	)	)	PUNCT
bracis-19058	146	37	)	)	PUNCT
bracis-19058	146	38	and	and	CCONJ
bracis-19058	146	39	another	another	PRON
bracis-19058	146	40	for	for	ADP
bracis-19058	146	41	the	the	DET
bracis-19058	146	42	fast	fast	ADJ
bracis-19058	146	43	fourier	fourier	NOUN
bracis-19058	146	44	the	the	DET
bracis-19058	146	45	transformed	transform	VERB
bracis-19058	146	46	ppg	ppg	NOUN
bracis-19058	146	47	signal	signal	NOUN
bracis-19058	146	48	(	(	PUNCT
bracis-19058	146	49	\(\text	\(\text	NOUN
bracis-19058	146	50	{	{	PUNCT
bracis-19058	146	51	tse}_{\text	tse}_{\text	ADJ
bracis-19058	146	52	{	{	PUNCT
bracis-19058	146	53	ppg	ppg	PROPN
bracis-19058	146	54	-	-	PUNCT
bracis-19058	146	55	fft}}\	fft}}\	PROPN
bracis-19058	146	56	)	)	PUNCT
bracis-19058	146	57	)	)	PUNCT
bracis-19058	146	58	.	.	PUNCT
bracis-19058	147	1	these	these	DET
bracis-19058	147	2	outputs	output	NOUN
bracis-19058	147	3	are	be	AUX
bracis-19058	147	4	concatenated	concatenate	VERB
bracis-19058	147	5	and	and	CCONJ
bracis-19058	147	6	returned	return	VERB
bracis-19058	147	7	by	by	ADP
bracis-19058	147	8	the	the	DET
bracis-19058	147	9	new	new	ADJ
bracis-19058	147	10	sub	sub	NOUN
bracis-19058	147	11	-	-	NOUN
bracis-19058	147	12	network	network	NOUN
bracis-19058	147	13	.	.	PUNCT
bracis-19058	148	1	the	the	DET
bracis-19058	148	2	\(\text	\(\text	NOUN
bracis-19058	148	3	{	{	PUNCT
bracis-19058	148	4	tse}_{\text	tse}_{\text	NOUN
bracis-19058	148	5	{	{	PUNCT
bracis-19058	148	6	ppg	ppg	PROPN
bracis-19058	148	7	-	-	PUNCT
bracis-19058	148	8	fft}}\	fft}}\	PROPN
bracis-19058	148	9	)	)	PUNCT
bracis-19058	148	10	is	be	AUX
bracis-19058	148	11	smaller	small	ADJ
bracis-19058	148	12	,	,	PUNCT
bracis-19058	148	13	with	with	ADP
bracis-19058	148	14	\([\text	\([\text	PROPN
bracis-19058	148	15	{	{	PUNCT
bracis-19058	148	16	tse}_{\text	tse}_{\text	NOUN
bracis-19058	148	17	{	{	PUNCT
bracis-19058	148	18	ppg	ppg	PROPN
bracis-19058	148	19	-	-	PUNCT
bracis-19058	148	20	fft}}]_{\text	fft}}]_{\text	NOUN
bracis-19058	148	21	{	{	PUNCT
bracis-19058	148	22	out	out	ADP
bracis-19058	148	23	}	}	PUNCT
bracis-19058	148	24	}	}	PUNCT
bracis-19058	148	25	=	=	PUNCT
bracis-19058	148	26	12\	12\	NUM
bracis-19058	148	27	)	)	PUNCT
bracis-19058	148	28	.	.	PUNCT
bracis-19058	149	1	we	we	PRON
bracis-19058	149	2	also	also	ADV
bracis-19058	149	3	modified	modify	VERB
bracis-19058	149	4	the	the	DET
bracis-19058	149	5	pc	pc	NOUN
bracis-19058	149	6	encoder	encoder	NOUN
bracis-19058	149	7	slightly	slightly	ADV
bracis-19058	149	8	,	,	PUNCT
bracis-19058	149	9	so	so	SCONJ
bracis-19058	149	10	that	that	SCONJ
bracis-19058	149	11	it	it	PRON
bracis-19058	149	12	only	only	ADV
bracis-19058	149	13	receives	receive	VERB
bracis-19058	149	14	as	as	ADP
bracis-19058	149	15	input	input	NOUN
bracis-19058	149	16	the	the	DET
bracis-19058	149	17	concatenated	concatenate	VERB
bracis-19058	149	18	outputs	output	NOUN
bracis-19058	149	19	of	of	ADP
bracis-19058	149	20	the	the	DET
bracis-19058	149	21	tse	tse	PROPN
bracis-19058	149	22	(	(	PUNCT
bracis-19058	149	23	without	without	ADP
bracis-19058	149	24	the	the	DET
bracis-19058	149	25	hr	hr	NOUN
bracis-19058	149	26	)	)	PUNCT
bracis-19058	149	27	.	.	PUNCT
bracis-19058	150	1	figure	figure	NOUN
bracis-19058	150	2	 	 	SPACE
bracis-19058	150	3	3	3	NUM
bracis-19058	150	4	illustrates	illustrate	VERB
bracis-19058	150	5	the	the	DET
bracis-19058	150	6	changes	change	NOUN
bracis-19058	150	7	to	to	ADP
bracis-19058	150	8	the	the	DET
bracis-19058	150	9	pce	pce	ADJ
bracis-19058	150	10	-	-	ADJ
bracis-19058	150	11	lstm	lstm	ADJ
bracis-19058	150	12	architecture	architecture	NOUN
bracis-19058	150	13	for	for	ADP
bracis-19058	150	14	the	the	DET
bracis-19058	150	15	secondary	secondary	ADJ
bracis-19058	150	16	task	task	NOUN
bracis-19058	150	17	.	.	PROPN
bracis-19058	151	1	4	4	NUM
bracis-19058	151	2	reference	reference	NOUN
bracis-19058	151	3	methods	method	NOUN
bracis-19058	151	4	to	to	ADP
bracis-19058	151	5	the	the	DET
bracis-19058	151	6	best	good	ADJ
bracis-19058	151	7	of	of	ADP
bracis-19058	151	8	our	our	PRON
bracis-19058	151	9	knowledge	knowledge	NOUN
bracis-19058	151	10	,	,	PUNCT
bracis-19058	151	11	the	the	DET
bracis-19058	151	12	task	task	NOUN
bracis-19058	151	13	of	of	ADP
bracis-19058	151	14	predicting	predict	VERB
bracis-19058	151	15	multiple	multiple	ADJ
bracis-19058	151	16	steps	step	NOUN
bracis-19058	151	17	of	of	ADP
bracis-19058	151	18	hr	hr	NOUN
bracis-19058	151	19	given	give	VERB
bracis-19058	151	20	imu	imu	NOUN
bracis-19058	151	21	signals	signal	NOUN
bracis-19058	151	22	has	have	AUX
bracis-19058	151	23	only	only	ADV
bracis-19058	151	24	been	be	AUX
bracis-19058	151	25	attempted	attempt	VERB
bracis-19058	151	26	by	by	ADP
bracis-19058	151	27	[	[	X
bracis-19058	151	28	7	7	NUM
bracis-19058	151	29	]	]	PUNCT
bracis-19058	151	30	,	,	PUNCT
bracis-19058	151	31	which	which	PRON
bracis-19058	151	32	used	use	VERB
bracis-19058	151	33	in	in	ADP
bracis-19058	151	34	their	their	PRON
bracis-19058	151	35	experiments	experiment	NOUN
bracis-19058	151	36	a	a	DET
bracis-19058	151	37	dataset	dataset	NOUN
bracis-19058	151	38	not	not	PART
bracis-19058	151	39	publicly	publicly	ADV
bracis-19058	151	40	available	available	ADJ
bracis-19058	151	41	.	.	PUNCT
bracis-19058	152	1	in	in	ADP
bracis-19058	152	2	addition	addition	NOUN
bracis-19058	152	3	to	to	ADP
bracis-19058	152	4	using	use	VERB
bracis-19058	152	5	their	their	PRON
bracis-19058	152	6	model	model	NOUN
bracis-19058	152	7	as	as	ADP
bracis-19058	152	8	a	a	DET
bracis-19058	152	9	baseline	baseline	NOUN
bracis-19058	152	10	,	,	PUNCT
bracis-19058	152	11	we	we	PRON
bracis-19058	152	12	also	also	ADV
bracis-19058	152	13	adapt	adapt	VERB
bracis-19058	152	14	a	a	DET
bracis-19058	152	15	model	model	NOUN
bracis-19058	152	16	[	[	X
bracis-19058	152	17	17	17	NUM
bracis-19058	152	18	]	]	PUNCT
bracis-19058	152	19	designed	design	VERB
bracis-19058	152	20	for	for	ADP
bracis-19058	152	21	similar	similar	ADJ
bracis-19058	152	22	tasks	task	NOUN
bracis-19058	152	23	(	(	PUNCT
bracis-19058	152	24	har	har	NOUN
bracis-19058	152	25	)	)	PUNCT
bracis-19058	152	26	in	in	ADP
bracis-19058	152	27	order	order	NOUN
bracis-19058	152	28	to	to	PART
bracis-19058	152	29	benchmark	benchmark	VERB
bracis-19058	152	30	our	our	PRON
bracis-19058	152	31	method	method	NOUN
bracis-19058	152	32	.	.	PUNCT
bracis-19058	153	1	in	in	ADP
bracis-19058	153	2	this	this	DET
bracis-19058	153	3	section	section	NOUN
bracis-19058	153	4	we	we	PRON
bracis-19058	153	5	describe	describe	VERB
bracis-19058	153	6	each	each	PRON
bracis-19058	153	7	of	of	ADP
bracis-19058	153	8	these	these	DET
bracis-19058	153	9	models	model	NOUN
bracis-19058	153	10	,	,	PUNCT
bracis-19058	153	11	the	the	DET
bracis-19058	153	12	task	task	NOUN
bracis-19058	153	13	they	they	PRON
bracis-19058	153	14	were	be	AUX
bracis-19058	153	15	designed	design	VERB
bracis-19058	153	16	to	to	PART
bracis-19058	153	17	address	address	VERB
bracis-19058	153	18	and	and	CCONJ
bracis-19058	153	19	the	the	DET
bracis-19058	153	20	minor	minor	ADJ
bracis-19058	153	21	changes	change	NOUN
bracis-19058	153	22	required	require	VERB
bracis-19058	153	23	to	to	PART
bracis-19058	153	24	adapt	adapt	VERB
bracis-19058	153	25	the	the	DET
bracis-19058	153	26	models	model	NOUN
bracis-19058	153	27	for	for	ADP
bracis-19058	153	28	the	the	DET
bracis-19058	153	29	task	task	NOUN
bracis-19058	153	30	at	at	ADP
bracis-19058	153	31	hand	hand	NOUN
bracis-19058	153	32	.	.	PUNCT
bracis-19058	154	1	more	more	ADJ
bracis-19058	154	2	recent	recent	ADJ
bracis-19058	154	3	architectures	architecture	NOUN
bracis-19058	154	4	for	for	ADP
bracis-19058	154	5	the	the	DET
bracis-19058	154	6	har	har	NOUN
bracis-19058	154	7	task	task	NOUN
bracis-19058	154	8	,	,	PUNCT
bracis-19058	154	9	such	such	ADJ
bracis-19058	154	10	as	as	ADP
bracis-19058	154	11	 	 	SPACE
bracis-19058	154	12	[	[	PUNCT
bracis-19058	154	13	16	16	NUM
bracis-19058	154	14	]	]	PUNCT
bracis-19058	154	15	,	,	PUNCT
bracis-19058	154	16	were	be	AUX
bracis-19058	154	17	not	not	PART
bracis-19058	154	18	used	use	VERB
bracis-19058	154	19	as	as	ADP
bracis-19058	154	20	baselines	baseline	NOUN
bracis-19058	154	21	because	because	SCONJ
bracis-19058	154	22	they	they	PRON
bracis-19058	154	23	were	be	AUX
bracis-19058	154	24	not	not	PART
bracis-19058	154	25	designed	design	VERB
bracis-19058	154	26	for	for	ADP
bracis-19058	154	27	multi	multi	ADJ
bracis-19058	154	28	-	-	ADJ
bracis-19058	154	29	step	step	NOUN
bracis-19058	154	30	predictions	prediction	NOUN
bracis-19058	154	31	over	over	ADP
bracis-19058	154	32	time	time	NOUN
bracis-19058	154	33	series	series	NOUN
bracis-19058	154	34	and	and	CCONJ
bracis-19058	154	35	,	,	PUNCT
bracis-19058	154	36	as	as	ADP
bracis-19058	154	37	such	such	ADJ
bracis-19058	154	38	,	,	PUNCT
bracis-19058	154	39	would	would	AUX
bracis-19058	154	40	require	require	VERB
bracis-19058	154	41	significant	significant	ADJ
bracis-19058	154	42	changes	change	NOUN
bracis-19058	154	43	.	.	PUNCT
bracis-19058	155	1	fig	fig	NOUN
bracis-19058	155	2	.	.	PUNCT
bracis-19058	156	1	3	3	X
bracis-19058	156	2	.	.	X
bracis-19058	156	3	ppg	ppg	ADJ
bracis-19058	156	4	-	-	PUNCT
bracis-19058	156	5	adapted	adapt	VERB
bracis-19058	156	6	pce	pce	PROPN
bracis-19058	156	7	full	full	ADJ
bracis-19058	156	8	size	size	NOUN
bracis-19058	156	9	image	image	NOUN
bracis-19058	156	10	ffnn	ffnn	NOUN
bracis-19058	156	11	.	.	PUNCT
bracis-19058	157	1	[	[	X
bracis-19058	157	2	7	7	X
bracis-19058	157	3	]	]	PUNCT
bracis-19058	157	4	is	be	AUX
bracis-19058	157	5	a	a	DET
bracis-19058	157	6	feed	feed	NOUN
bracis-19058	157	7	-	-	PUNCT
bracis-19058	157	8	forward	forward	ADV
bracis-19058	157	9	recursive	recursive	ADJ
bracis-19058	157	10	architecture	architecture	NOUN
bracis-19058	157	11	with	with	ADP
bracis-19058	157	12	skip	skip	ADJ
bracis-19058	157	13	connections	connection	NOUN
bracis-19058	157	14	using	use	VERB
bracis-19058	157	15	data	datum	NOUN
bracis-19058	157	16	from	from	ADP
bracis-19058	157	17	a	a	DET
bracis-19058	157	18	wrist	wrist	NOUN
bracis-19058	157	19	-	-	PUNCT
bracis-19058	157	20	worn	wear	VERB
bracis-19058	157	21	3	3	NUM
bracis-19058	157	22	-	-	PUNCT
bracis-19058	157	23	axial	axial	ADJ
bracis-19058	157	24	accelerometer	accelerometer	NOUN
bracis-19058	157	25	.	.	PUNCT
bracis-19058	158	1	the	the	DET
bracis-19058	158	2	model	model	NOUN
bracis-19058	158	3	uses	use	VERB
bracis-19058	158	4	the	the	DET
bracis-19058	158	5	average	average	ADJ
bracis-19058	158	6	measurement	measurement	NOUN
bracis-19058	158	7	of	of	ADP
bracis-19058	158	8	each	each	DET
bracis-19058	158	9	sensor	sensor	NOUN
bracis-19058	158	10	in	in	ADP
bracis-19058	158	11	a	a	DET
bracis-19058	158	12	non	non	ADJ
bracis-19058	158	13	-	-	ADJ
bracis-19058	158	14	overlapping	overlapping	ADJ
bracis-19058	158	15	window	window	NOUN
bracis-19058	158	16	of	of	ADP
bracis-19058	158	17	30	30	NUM
bracis-19058	158	18	s.	s.	NOUN
bracis-19058	158	19	as	as	SCONJ
bracis-19058	158	20	the	the	DET
bracis-19058	158	21	architecture	architecture	NOUN
bracis-19058	158	22	details	detail	NOUN
bracis-19058	158	23	were	be	AUX
bracis-19058	158	24	not	not	PART
bracis-19058	158	25	reported	report	VERB
bracis-19058	158	26	,	,	PUNCT
bracis-19058	158	27	we	we	PRON
bracis-19058	158	28	set	set	VERB
bracis-19058	158	29	the	the	DET
bracis-19058	158	30	layer	layer	NOUN
bracis-19058	158	31	size	size	NOUN
bracis-19058	158	32	to	to	ADP
bracis-19058	158	33	16	16	NUM
bracis-19058	158	34	and	and	CCONJ
bracis-19058	158	35	relu	relu	NOUN
bracis-19058	158	36	as	as	ADP
bracis-19058	158	37	the	the	DET
bracis-19058	158	38	activation	activation	NOUN
bracis-19058	158	39	function	function	VERB
bracis-19058	158	40	for	for	ADP
bracis-19058	158	41	each	each	DET
bracis-19058	158	42	layer	layer	NOUN
bracis-19058	158	43	based	base	VERB
bracis-19058	158	44	on	on	ADP
bracis-19058	158	45	random	random	ADJ
bracis-19058	158	46	search	search	NOUN
bracis-19058	158	47	optimization	optimization	NOUN
bracis-19058	158	48	.	.	PUNCT
bracis-19058	159	1	we	we	PRON
bracis-19058	159	2	adapted	adapt	VERB
bracis-19058	159	3	their	their	PRON
bracis-19058	159	4	architecture	architecture	NOUN
bracis-19058	159	5	,	,	PUNCT
bracis-19058	159	6	using	use	VERB
bracis-19058	159	7	a	a	DET
bracis-19058	159	8	time	time	NOUN
bracis-19058	159	9	window	window	NOUN
bracis-19058	159	10	of	of	ADP
bracis-19058	159	11	\(\tau	\(\tau	PROPN
bracis-19058	160	1	_	_	PRON
bracis-19058	160	2	{	{	PUNCT
bracis-19058	160	3	\text	\text	PROPN
bracis-19058	160	4	{	{	PUNCT
bracis-19058	160	5	ts}}=4\	ts}}=4\	PROPN
bracis-19058	160	6	)	)	PUNCT
bracis-19058	160	7	s	s	PROPN
bracis-19058	160	8	,	,	PUNCT
bracis-19058	160	9	to	to	PART
bracis-19058	160	10	make	make	VERB
bracis-19058	160	11	it	it	PRON
bracis-19058	160	12	more	more	ADV
bracis-19058	160	13	comparable	comparable	ADJ
bracis-19058	160	14	to	to	ADP
bracis-19058	160	15	our	our	PRON
bracis-19058	160	16	method	method	NOUN
bracis-19058	160	17	(	(	PUNCT
bracis-19058	160	18	testing	test	VERB
bracis-19058	160	19	with	with	ADP
bracis-19058	160	20	\(\tau	\(\tau	PROPN
bracis-19058	161	1	_	_	PRON
bracis-19058	161	2	{	{	PUNCT
bracis-19058	161	3	\text	\text	NOUN
bracis-19058	161	4	{	{	PUNCT
bracis-19058	161	5	ts	ts	NOUN
bracis-19058	161	6	}	}	PUNCT
bracis-19058	161	7	}	}	PUNCT
bracis-19058	161	8	=	=	SYM
bracis-19058	161	9	30\	30\	NUM
bracis-19058	161	10	)	)	PUNCT
bracis-19058	161	11	s	s	VERB
bracis-19058	161	12	as	as	ADP
bracis-19058	161	13	in	in	ADP
bracis-19058	161	14	the	the	DET
bracis-19058	161	15	original	original	ADJ
bracis-19058	161	16	work	work	NOUN
bracis-19058	161	17	yielded	yield	VERB
bracis-19058	161	18	worse	bad	ADJ
bracis-19058	161	19	results	result	NOUN
bracis-19058	161	20	)	)	PUNCT
bracis-19058	161	21	.	.	PUNCT
bracis-19058	162	1	we	we	PRON
bracis-19058	162	2	train	train	VERB
bracis-19058	162	3	the	the	DET
bracis-19058	162	4	network	network	NOUN
bracis-19058	162	5	using	use	VERB
bracis-19058	162	6	adam	adam	PROPN
bracis-19058	162	7	,	,	PUNCT
bracis-19058	162	8	instead	instead	ADV
bracis-19058	162	9	of	of	ADP
bracis-19058	162	10	the	the	DET
bracis-19058	162	11	genetic	genetic	ADJ
bracis-19058	162	12	algorithms	algorithm	NOUN
bracis-19058	162	13	used	use	VERB
bracis-19058	162	14	in	in	ADP
bracis-19058	162	15	that	that	DET
bracis-19058	162	16	study	study	NOUN
bracis-19058	162	17	.	.	PUNCT
bracis-19058	163	1	deepconvlstm	deepconvlstm	PROPN
bracis-19058	163	2	.	.	PUNCT
bracis-19058	164	1	[	[	X
bracis-19058	164	2	17	17	NUM
bracis-19058	164	3	]	]	PUNCT
bracis-19058	164	4	performs	perform	VERB
bracis-19058	164	5	a	a	DET
bracis-19058	164	6	sequence	sequence	NOUN
bracis-19058	164	7	of	of	ADP
bracis-19058	164	8	convolutions	convolution	NOUN
bracis-19058	164	9	on	on	ADP
bracis-19058	164	10	the	the	DET
bracis-19058	164	11	input	input	NOUN
bracis-19058	164	12	series	series	NOUN
bracis-19058	164	13	.	.	PUNCT
bracis-19058	165	1	the	the	DET
bracis-19058	165	2	deep	deep	ADJ
bracis-19058	165	3	features	feature	NOUN
bracis-19058	165	4	from	from	ADP
bracis-19058	165	5	each	each	DET
bracis-19058	165	6	time	time	NOUN
bracis-19058	165	7	entry	entry	NOUN
bracis-19058	165	8	feed	feed	NOUN
bracis-19058	165	9	a	a	DET
bracis-19058	165	10	lstm	lstm	NOUN
bracis-19058	165	11	.	.	PUNCT
bracis-19058	166	1	from	from	ADP
bracis-19058	166	2	each	each	DET
bracis-19058	166	3	lstm	lstm	NOUN
bracis-19058	166	4	hidden	hide	VERB
bracis-19058	166	5	vector	vector	NOUN
bracis-19058	166	6	,	,	PUNCT
bracis-19058	166	7	a	a	DET
bracis-19058	166	8	prediction	prediction	NOUN
bracis-19058	166	9	is	be	AUX
bracis-19058	166	10	computed	compute	VERB
bracis-19058	166	11	using	use	VERB
bracis-19058	166	12	a	a	DET
bracis-19058	166	13	single	single	ADJ
bracis-19058	166	14	linear	linear	ADJ
bracis-19058	166	15	layer	layer	NOUN
bracis-19058	166	16	.	.	PUNCT
bracis-19058	167	1	in	in	ADP
bracis-19058	167	2	our	our	PRON
bracis-19058	167	3	adapted	adapted	ADJ
bracis-19058	167	4	version	version	NOUN
bracis-19058	167	5	,	,	PUNCT
bracis-19058	167	6	we	we	PRON
bracis-19058	167	7	add	add	VERB
bracis-19058	167	8	padding	padding	NOUN
bracis-19058	167	9	to	to	ADP
bracis-19058	167	10	the	the	DET
bracis-19058	167	11	convolutions	convolution	NOUN
bracis-19058	167	12	to	to	PART
bracis-19058	167	13	maintain	maintain	VERB
bracis-19058	167	14	the	the	DET
bracis-19058	167	15	length	length	NOUN
bracis-19058	167	16	of	of	ADP
bracis-19058	167	17	the	the	DET
bracis-19058	167	18	tensor	tensor	NOUN
bracis-19058	167	19	and	and	CCONJ
bracis-19058	167	20	select	select	VERB
bracis-19058	167	21	only	only	ADV
bracis-19058	167	22	the	the	DET
bracis-19058	167	23	outputs	output	NOUN
bracis-19058	167	24	corresponding	correspond	VERB
bracis-19058	167	25	to	to	ADP
bracis-19058	167	26	the	the	DET
bracis-19058	167	27	last	last	ADJ
bracis-19058	167	28	time	time	NOUN
bracis-19058	167	29	input	input	NOUN
bracis-19058	167	30	of	of	ADP
bracis-19058	167	31	each	each	DET
bracis-19058	167	32	time	time	NOUN
bracis-19058	167	33	snippet	snippet	NOUN
bracis-19058	167	34	,	,	PUNCT
bracis-19058	167	35	as	as	SCONJ
bracis-19058	167	36	we	we	PRON
bracis-19058	167	37	have	have	VERB
bracis-19058	167	38	one	one	NUM
bracis-19058	167	39	label	label	NOUN
bracis-19058	167	40	per	per	ADP
bracis-19058	167	41	time	time	NOUN
bracis-19058	167	42	snippet	snippet	NOUN
bracis-19058	167	43	.	.	PUNCT
bracis-19058	168	1	as	as	ADP
bracis-19058	168	2	in	in	ADP
bracis-19058	168	3	 	 	SPACE
bracis-19058	168	4	[	[	X
bracis-19058	168	5	17	17	NUM
bracis-19058	168	6	]	]	PUNCT
bracis-19058	168	7	,	,	PUNCT
bracis-19058	168	8	we	we	PRON
bracis-19058	168	9	downsampled	downsample	VERB
bracis-19058	168	10	the	the	DET
bracis-19058	168	11	input	input	NOUN
bracis-19058	168	12	signals	signal	NOUN
bracis-19058	168	13	30	30	NUM
bracis-19058	168	14	 	 	SPACE
bracis-19058	168	15	hz	hz	VERB
bracis-19058	168	16	,	,	PUNCT
bracis-19058	168	17	and	and	CCONJ
bracis-19058	168	18	set	set	VERB
bracis-19058	168	19	time	time	NOUN
bracis-19058	168	20	snippets	snippet	NOUN
bracis-19058	168	21	’	'	PUNCT
bracis-19058	168	22	length	length	NOUN
bracis-19058	168	23	to	to	ADP
bracis-19058	168	24	\(\tau	\(\tau	VERB
bracis-19058	169	1	_	_	PRON
bracis-19058	169	2	{	{	PUNCT
bracis-19058	169	3	\text	\text	NOUN
bracis-19058	169	4	{	{	PUNCT
bracis-19058	169	5	ts	ts	NOUN
bracis-19058	169	6	}	}	PUNCT
bracis-19058	169	7	}	}	PUNCT
bracis-19058	169	8	=	=	SYM
bracis-19058	169	9	3s\	3s\	NUM
bracis-19058	169	10	)	)	PUNCT
bracis-19058	169	11	.	.	PUNCT
bracis-19058	170	1	5	5	NUM
bracis-19058	170	2	empirical	empirical	ADJ
bracis-19058	170	3	evaluation	evaluation	NOUN
bracis-19058	170	4	in	in	ADP
bracis-19058	170	5	this	this	DET
bracis-19058	170	6	section	section	NOUN
bracis-19058	170	7	we	we	PRON
bracis-19058	170	8	describe	describe	VERB
bracis-19058	170	9	the	the	DET
bracis-19058	170	10	experiments	experiment	NOUN
bracis-19058	170	11	conducted	conduct	VERB
bracis-19058	170	12	to	to	PART
bracis-19058	170	13	evaluate	evaluate	VERB
bracis-19058	170	14	pce	pce	NOUN
bracis-19058	170	15	-	-	NOUN
bracis-19058	170	16	lstm	lstm	NOUN
bracis-19058	170	17	and	and	CCONJ
bracis-19058	170	18	their	their	PRON
bracis-19058	170	19	results	result	NOUN
bracis-19058	170	20	.	.	PUNCT
bracis-19058	171	1	we	we	PRON
bracis-19058	171	2	begin	begin	VERB
bracis-19058	171	3	with	with	ADP
bracis-19058	171	4	an	an	DET
bracis-19058	171	5	overview	overview	NOUN
bracis-19058	171	6	of	of	ADP
bracis-19058	171	7	the	the	DET
bracis-19058	171	8	experimental	experimental	ADJ
bracis-19058	171	9	setup	setup	NOUN
bracis-19058	171	10	.	.	PUNCT
bracis-19058	172	1	next	next	ADV
bracis-19058	172	2	,	,	PUNCT
bracis-19058	172	3	we	we	PRON
bracis-19058	172	4	present	present	VERB
bracis-19058	172	5	the	the	DET
bracis-19058	172	6	imu	imu	NOUN
bracis-19058	172	7	-	-	PUNCT
bracis-19058	172	8	based	base	VERB
bracis-19058	172	9	hr	hr	NOUN
bracis-19058	172	10	prediction	prediction	NOUN
bracis-19058	172	11	experiments	experiment	NOUN
bracis-19058	172	12	(	(	PUNCT
bracis-19058	172	13	the	the	DET
bracis-19058	172	14	primary	primary	ADJ
bracis-19058	172	15	prediction	prediction	NOUN
bracis-19058	172	16	task	task	NOUN
bracis-19058	172	17	)	)	PUNCT
bracis-19058	172	18	and	and	CCONJ
bracis-19058	172	19	an	an	DET
bracis-19058	172	20	ablation	ablation	NOUN
bracis-19058	172	21	study	study	NOUN
bracis-19058	172	22	on	on	ADP
bracis-19058	172	23	the	the	DET
bracis-19058	172	24	pce	pce	PROPN
bracis-19058	172	25	’s	’s	PART
bracis-19058	172	26	impact	impact	NOUN
bracis-19058	172	27	on	on	ADP
bracis-19058	172	28	performance	performance	NOUN
bracis-19058	172	29	.	.	PUNCT
bracis-19058	173	1	last	last	ADJ
bracis-19058	173	2	,	,	PUNCT
bracis-19058	173	3	we	we	PRON
bracis-19058	173	4	describe	describe	VERB
bracis-19058	173	5	the	the	DET
bracis-19058	173	6	ppg	ppg	NOUN
bracis-19058	173	7	-	-	PUNCT
bracis-19058	173	8	based	base	VERB
bracis-19058	173	9	hr	hr	NOUN
bracis-19058	173	10	estimation	estimation	NOUN
bracis-19058	173	11	(	(	PUNCT
bracis-19058	173	12	the	the	DET
bracis-19058	173	13	secondary	secondary	ADJ
bracis-19058	173	14	prediction	prediction	NOUN
bracis-19058	173	15	task	task	NOUN
bracis-19058	173	16	)	)	PUNCT
bracis-19058	173	17	.	.	PUNCT
bracis-19058	174	1	5.1	5.1	NUM
bracis-19058	174	2	experimental	experimental	ADJ
bracis-19058	174	3	setup	setup	NOUN
bracis-19058	174	4	we	we	PRON
bracis-19058	174	5	evaluate	evaluate	VERB
bracis-19058	174	6	the	the	DET
bracis-19058	174	7	imu	imu	NOUN
bracis-19058	174	8	-	-	PUNCT
bracis-19058	174	9	based	base	VERB
bracis-19058	174	10	multi	multi	ADJ
bracis-19058	174	11	-	-	ADJ
bracis-19058	174	12	step	step	ADJ
bracis-19058	174	13	hr	hr	NOUN
bracis-19058	174	14	estimation	estimation	NOUN
bracis-19058	174	15	results	result	NOUN
bracis-19058	174	16	w.r.t	w.r.t	VERB
bracis-19058	174	17	.	.	PUNCT
bracis-19058	175	1	mean	mean	VERB
bracis-19058	175	2	absolute	absolute	ADJ
bracis-19058	175	3	error	error	NOUN
bracis-19058	175	4	(	(	PUNCT
bracis-19058	175	5	mae	mae	PROPN
bracis-19058	175	6	)	)	PUNCT
bracis-19058	175	7	,	,	PUNCT
bracis-19058	175	8	root	root	NOUN
bracis-19058	175	9	mean	mean	VERB
bracis-19058	175	10	squared	square	VERB
bracis-19058	175	11	error	error	NOUN
bracis-19058	175	12	(	(	PUNCT
bracis-19058	175	13	rmse	rmse	NOUN
bracis-19058	175	14	)	)	PUNCT
bracis-19058	175	15	and	and	CCONJ
bracis-19058	175	16	maximum	maximum	ADJ
bracis-19058	175	17	error	error	NOUN
bracis-19058	175	18	(	(	PUNCT
bracis-19058	176	1	\(\ell	\(\ell	X
bracis-19058	176	2	_	_	PRON
bracis-19058	176	3	1\	1\	NUM
bracis-19058	176	4	)	)	PUNCT
bracis-19058	176	5	)	)	PUNCT
bracis-19058	177	1	as	as	ADP
bracis-19058	177	2	evaluation	evaluation	NOUN
bracis-19058	177	3	metrics	metric	NOUN
bracis-19058	177	4	.	.	PUNCT
bracis-19058	178	1	for	for	ADP
bracis-19058	178	2	the	the	DET
bracis-19058	178	3	ppg	ppg	PROPN
bracis-19058	178	4	-	-	PUNCT
bracis-19058	178	5	based	base	VERB
bracis-19058	178	6	hr	hr	NOUN
bracis-19058	178	7	estimation	estimation	NOUN
bracis-19058	178	8	,	,	PUNCT
bracis-19058	178	9	however	however	ADV
bracis-19058	178	10	,	,	PUNCT
bracis-19058	178	11	we	we	PRON
bracis-19058	178	12	consider	consider	VERB
bracis-19058	178	13	only	only	ADV
bracis-19058	178	14	mae	mae	PROPN
bracis-19058	178	15	,	,	PUNCT
bracis-19058	178	16	since	since	SCONJ
bracis-19058	178	17	we	we	PRON
bracis-19058	178	18	transcribe	transcribe	VERB
bracis-19058	178	19	the	the	DET
bracis-19058	178	20	results	result	NOUN
bracis-19058	178	21	from	from	ADP
bracis-19058	178	22	the	the	DET
bracis-19058	178	23	paper	paper	NOUN
bracis-19058	178	24	where	where	SCONJ
bracis-19058	178	25	the	the	DET
bracis-19058	178	26	baseline	baseline	NOUN
bracis-19058	178	27	method	method	NOUN
bracis-19058	178	28	was	be	AUX
bracis-19058	178	29	proposed	propose	VERB
bracis-19058	178	30	 	 	SPACE
bracis-19058	179	1	[	[	X
bracis-19058	179	2	1	1	NUM
bracis-19058	179	3	]	]	PUNCT
bracis-19058	179	4	,	,	PUNCT
bracis-19058	180	1	which	which	PRON
bracis-19058	180	2	did	do	AUX
bracis-19058	180	3	not	not	PART
bracis-19058	180	4	include	include	VERB
bracis-19058	180	5	another	another	DET
bracis-19058	180	6	evaluation	evaluation	NOUN
bracis-19058	180	7	metric	metric	NOUN
bracis-19058	180	8	.	.	PUNCT
bracis-19058	181	1	train	train	NOUN
bracis-19058	181	2	-	-	PUNCT
bracis-19058	181	3	test	test	NOUN
bracis-19058	181	4	split	split	NOUN
bracis-19058	181	5	.	.	PUNCT
bracis-19058	182	1	we	we	PRON
bracis-19058	182	2	create	create	VERB
bracis-19058	182	3	several	several	ADJ
bracis-19058	182	4	train	train	NOUN
bracis-19058	182	5	-	-	PUNCT
bracis-19058	182	6	test	test	NOUN
bracis-19058	182	7	splits	split	NOUN
bracis-19058	182	8	using	use	VERB
bracis-19058	182	9	a	a	DET
bracis-19058	182	10	“	"	PUNCT
bracis-19058	182	11	leave	leave	VERB
bracis-19058	182	12	one	one	NUM
bracis-19058	182	13	subject	subject	NOUN
bracis-19058	182	14	out	out	ADP
bracis-19058	182	15	strategy	strategy	NOUN
bracis-19058	182	16	”	"	PUNCT
bracis-19058	182	17	,	,	PUNCT
bracis-19058	182	18	which	which	PRON
bracis-19058	182	19	mimics	mimic	VERB
bracis-19058	182	20	a	a	DET
bracis-19058	182	21	realistic	realistic	ADJ
bracis-19058	182	22	setting	setting	NOUN
bracis-19058	182	23	where	where	SCONJ
bracis-19058	182	24	the	the	DET
bracis-19058	182	25	model	model	NOUN
bracis-19058	182	26	would	would	AUX
bracis-19058	182	27	be	be	AUX
bracis-19058	182	28	applied	apply	VERB
bracis-19058	182	29	to	to	ADP
bracis-19058	182	30	individuals	individual	NOUN
bracis-19058	182	31	not	not	PART
bracis-19058	182	32	contained	contain	VERB
bracis-19058	182	33	in	in	ADP
bracis-19058	182	34	the	the	DET
bracis-19058	182	35	training	training	NOUN
bracis-19058	182	36	set	set	NOUN
bracis-19058	182	37	,	,	PUNCT
bracis-19058	182	38	as	as	SCONJ
bracis-19058	182	39	is	be	AUX
bracis-19058	182	40	the	the	DET
bracis-19058	182	41	case	case	NOUN
bracis-19058	182	42	for	for	ADP
bracis-19058	182	43	most	most	ADJ
bracis-19058	182	44	models	model	NOUN
bracis-19058	182	45	trained	train	VERB
bracis-19058	182	46	offline	offline	ADJ
bracis-19058	182	47	 	 	SPACE
bracis-19058	183	1	[	[	X
bracis-19058	183	2	18	18	NUM
bracis-19058	183	3	]	]	PUNCT
bracis-19058	183	4	.	.	PUNCT
bracis-19058	184	1	in	in	ADP
bracis-19058	184	2	a	a	DET
bracis-19058	184	3	dataset	dataset	NOUN
bracis-19058	184	4	with	with	ADP
bracis-19058	184	5	s	s	NOUN
bracis-19058	184	6	subjects	subject	NOUN
bracis-19058	184	7	,	,	PUNCT
bracis-19058	184	8	each	each	PRON
bracis-19058	184	9	of	of	ADP
bracis-19058	184	10	the	the	DET
bracis-19058	184	11	subjects	subject	NOUN
bracis-19058	184	12	is	be	AUX
bracis-19058	184	13	used	use	VERB
bracis-19058	184	14	once	once	ADV
bracis-19058	184	15	as	as	ADP
bracis-19058	184	16	the	the	DET
bracis-19058	184	17	test	test	NOUN
bracis-19058	184	18	subject	subject	NOUN
bracis-19058	184	19	and	and	CCONJ
bracis-19058	184	20	the	the	DET
bracis-19058	184	21	remaining	remain	VERB
bracis-19058	184	22	\(s-1\	\(s-1\	NOUN
bracis-19058	184	23	)	)	PUNCT
bracis-19058	184	24	subjects	subject	NOUN
bracis-19058	184	25	’	'	PUNCT
bracis-19058	184	26	time	time	NOUN
bracis-19058	184	27	series	series	NOUN
bracis-19058	184	28	are	be	AUX
bracis-19058	184	29	split	split	VERB
bracis-19058	184	30	into	into	ADP
bracis-19058	184	31	training	training	NOUN
bracis-19058	184	32	segments	segment	NOUN
bracis-19058	184	33	of	of	ADP
bracis-19058	184	34	\(n=50\	\(n=50\	NOUN
bracis-19058	184	35	)	)	PUNCT
bracis-19058	184	36	time	time	NOUN
bracis-19058	184	37	snippets	snippet	NOUN
bracis-19058	184	38	each	each	PRON
bracis-19058	184	39	and	and	CCONJ
bracis-19058	184	40	then	then	ADV
bracis-19058	184	41	randomly	randomly	ADV
bracis-19058	184	42	assigned	assign	VERB
bracis-19058	184	43	to	to	PART
bracis-19058	184	44	train	train	NOUN
bracis-19058	184	45	/	/	SYM
bracis-19058	184	46	validation	validation	NOUN
bracis-19058	184	47	sets	set	NOUN
bracis-19058	184	48	using	use	VERB
bracis-19058	184	49	an	an	DET
bracis-19058	184	50	80/20	80/20	NUM
bracis-19058	184	51	split	split	NOUN
bracis-19058	184	52	.	.	PUNCT
bracis-19058	185	1	for	for	ADP
bracis-19058	185	2	test	test	NOUN
bracis-19058	185	3	,	,	PUNCT
bracis-19058	185	4	we	we	PRON
bracis-19058	185	5	use	use	VERB
bracis-19058	185	6	the	the	DET
bracis-19058	185	7	whole	whole	ADJ
bracis-19058	185	8	series	series	NOUN
bracis-19058	185	9	of	of	ADP
bracis-19058	185	10	each	each	DET
bracis-19058	185	11	subject	subject	NOUN
bracis-19058	185	12	,	,	PUNCT
bracis-19058	185	13	which	which	PRON
bracis-19058	185	14	represents	represent	VERB
bracis-19058	185	15	around	around	ADP
bracis-19058	185	16	one	one	NUM
bracis-19058	185	17	or	or	CCONJ
bracis-19058	185	18	two	two	NUM
bracis-19058	185	19	hours	hour	NOUN
bracis-19058	185	20	for	for	ADP
bracis-19058	185	21	most	most	ADJ
bracis-19058	185	22	subjects	subject	NOUN
bracis-19058	185	23	in	in	ADP
bracis-19058	185	24	the	the	DET
bracis-19058	185	25	pamap2	pamap2	NOUN
bracis-19058	185	26	and	and	CCONJ
bracis-19058	185	27	dalia	dalia	PROPN
bracis-19058	185	28	datasets	dataset	NOUN
bracis-19058	185	29	respectively	respectively	ADV
bracis-19058	185	30	.	.	PUNCT
bracis-19058	186	1	with	with	ADP
bracis-19058	186	2	each	each	PRON
bracis-19058	186	3	of	of	ADP
bracis-19058	186	4	the	the	DET
bracis-19058	186	5	s	s	NOUN
bracis-19058	186	6	subjects	subject	NOUN
bracis-19058	186	7	as	as	ADP
bracis-19058	186	8	the	the	DET
bracis-19058	186	9	test	test	NOUN
bracis-19058	186	10	subject	subject	NOUN
bracis-19058	186	11	,	,	PUNCT
bracis-19058	186	12	we	we	PRON
bracis-19058	186	13	perform	perform	VERB
bracis-19058	186	14	7	7	NUM
bracis-19058	186	15	executions	execution	NOUN
bracis-19058	186	16	,	,	PUNCT
bracis-19058	186	17	with	with	ADP
bracis-19058	186	18	different	different	ADJ
bracis-19058	186	19	train	train	NOUN
bracis-19058	186	20	/	/	SYM
bracis-19058	186	21	validation	validation	NOUN
bracis-19058	186	22	splits	split	NOUN
bracis-19058	186	23	and	and	CCONJ
bracis-19058	186	24	different	different	ADJ
bracis-19058	186	25	neural	neural	ADJ
bracis-19058	186	26	network	network	NOUN
bracis-19058	186	27	weight	weight	NOUN
bracis-19058	186	28	initialization	initialization	NOUN
bracis-19058	186	29	,	,	PUNCT
bracis-19058	186	30	as	as	SCONJ
bracis-19058	186	31	done	do	VERB
bracis-19058	186	32	in	in	ADP
bracis-19058	186	33	[	[	X
bracis-19058	186	34	1	1	NUM
bracis-19058	186	35	]	]	PUNCT
bracis-19058	186	36	.	.	PUNCT
bracis-19058	187	1	hyperparameter	hyperparameter	NOUN
bracis-19058	187	2	tuning	tune	VERB
bracis-19058	187	3	.	.	PUNCT
bracis-19058	188	1	in	in	ADP
bracis-19058	188	2	order	order	NOUN
bracis-19058	188	3	to	to	PART
bracis-19058	188	4	choose	choose	VERB
bracis-19058	188	5	pcm	pcm	ADJ
bracis-19058	188	6	-	-	PUNCT
bracis-19058	188	7	lstm	lstm	NOUN
bracis-19058	188	8	’	'	PUNCT
bracis-19058	188	9	and	and	CCONJ
bracis-19058	188	10	the	the	DET
bracis-19058	188	11	optimizer	optimizer	NOUN
bracis-19058	188	12	’s	’s	PART
bracis-19058	188	13	(	(	PUNCT
bracis-19058	188	14	adam	adam	PROPN
bracis-19058	188	15	)	)	PUNCT
bracis-19058	188	16	hyperparameters	hyperparameter	NOUN
bracis-19058	188	17	,	,	PUNCT
bracis-19058	188	18	we	we	PRON
bracis-19058	188	19	applied	apply	VERB
bracis-19058	188	20	a	a	DET
bracis-19058	188	21	random	random	ADJ
bracis-19058	188	22	search	search	NOUN
bracis-19058	188	23	using	use	VERB
bracis-19058	188	24	the	the	DET
bracis-19058	188	25	results	result	NOUN
bracis-19058	188	26	on	on	ADP
bracis-19058	188	27	pamap2	pamap2	PROPN
bracis-19058	188	28	’s	’s	PART
bracis-19058	188	29	subject	subject	NOUN
bracis-19058	188	30	5	5	NUM
bracis-19058	188	31	as	as	ADP
bracis-19058	188	32	reference	reference	NOUN
bracis-19058	188	33	,	,	PUNCT
bracis-19058	188	34	following	follow	VERB
bracis-19058	188	35	[	[	X
bracis-19058	188	36	17	17	NUM
bracis-19058	188	37	]	]	PUNCT
bracis-19058	188	38	.	.	PUNCT
bracis-19058	189	1	the	the	DET
bracis-19058	189	2	following	follow	VERB
bracis-19058	189	3	hyperparameters	hyperparameter	NOUN
bracis-19058	189	4	were	be	AUX
bracis-19058	189	5	selected	select	VERB
bracis-19058	189	6	:	:	PUNCT
bracis-19058	189	7	pce\(_f	pce\(_f	X
bracis-19058	189	8	=	=	SYM
bracis-19058	189	9	64\	64\	NUM
bracis-19058	189	10	)	)	PUNCT
bracis-19058	189	11	,	,	PUNCT
bracis-19058	189	12	\(i	\(i	NOUN
bracis-19058	189	13	=	=	SYM
bracis-19058	189	14	12\	12\	NUM
bracis-19058	189	15	)	)	PUNCT
bracis-19058	189	16	,	,	PUNCT
bracis-19058	189	17	\(\tau	\(\tau	PUNCT
bracis-19058	190	1	_	_	PRON
bracis-19058	190	2	{	{	PUNCT
bracis-19058	190	3	ts	ts	NOUN
bracis-19058	190	4	}	}	PUNCT
bracis-19058	190	5	=	=	SYM
bracis-19058	190	6	4\	4\	PROPN
bracis-19058	190	7	)	)	PUNCT
bracis-19058	190	8	,	,	PUNCT
bracis-19058	190	9	\(r_{ts	\(r_{ts	PROPN
bracis-19058	190	10	}	}	PUNCT
bracis-19058	190	11	=	=	SYM
bracis-19058	190	12	0.5\	0.5\	NUM
bracis-19058	190	13	)	)	PUNCT
bracis-19058	190	14	,	,	PUNCT
bracis-19058	190	15	\(\text	\(\text	NOUN
bracis-19058	190	16	{	{	PUNCT
bracis-19058	190	17	tse}_{\text	tse}_{\text	NOUN
bracis-19058	190	18	{	{	PUNCT
bracis-19058	190	19	out	out	ADP
bracis-19058	190	20	}	}	PUNCT
bracis-19058	190	21	}	}	PUNCT
bracis-19058	190	22	=	=	SYM
bracis-19058	190	23	128\	128\	NUM
bracis-19058	190	24	)	)	PUNCT
bracis-19058	190	25	,	,	PUNCT
bracis-19058	190	26	\(\text	\(\text	NOUN
bracis-19058	190	27	{	{	PUNCT
bracis-19058	190	28	tse}_f	tse}_f	NOUN
bracis-19058	190	29	=	=	SYM
bracis-19058	190	30	16\	16\	NUM
bracis-19058	190	31	)	)	PUNCT
bracis-19058	190	32	,	,	PUNCT
bracis-19058	190	33	\(\text	\(\text	NOUN
bracis-19058	190	34	{	{	PUNCT
bracis-19058	190	35	lstm}_h	lstm}_h	PROPN
bracis-19058	190	36	=	=	SYM
bracis-19058	190	37	64\	64\	PROPN
bracis-19058	190	38	)	)	PUNCT
bracis-19058	190	39	,	,	PUNCT
bracis-19058	190	40	\(\text	\(\text	NOUN
bracis-19058	190	41	{	{	PUNCT
bracis-19058	190	42	pce}_{\text	pce}_{\text	PROPN
bracis-19058	190	43	{	{	PUNCT
bracis-19058	190	44	out	out	ADP
bracis-19058	190	45	}	}	PUNCT
bracis-19058	190	46	}	}	PUNCT
bracis-19058	190	47	=	=	SYM
bracis-19058	190	48	64\	64\	NUM
bracis-19058	190	49	)	)	PUNCT
bracis-19058	190	50	,	,	PUNCT
bracis-19058	190	51	\(\text	\(\text	NOUN
bracis-19058	190	52	{	{	PUNCT
bracis-19058	190	53	tse}_{\text	tse}_{\text	NOUN
bracis-19058	190	54	{	{	PUNCT
bracis-19058	190	55	dropout	dropout	NOUN
bracis-19058	190	56	}	}	PUNCT
bracis-19058	190	57	}	}	PUNCT
bracis-19058	190	58	=	=	SYM
bracis-19058	190	59	0.15\	0.15\	PROPN
bracis-19058	190	60	)	)	PUNCT
bracis-19058	190	61	,	,	PUNCT
bracis-19058	190	62	learning	learn	VERB
bracis-19058	190	63	rate	rate	NOUN
bracis-19058	190	64	\(=	\(=	NOUN
bracis-19058	190	65	0.005\	0.005\	PROPN
bracis-19058	190	66	)	)	PUNCT
bracis-19058	190	67	,	,	PUNCT
bracis-19058	190	68	weight	weight	NOUN
bracis-19058	190	69	decay	decay	NOUN
bracis-19058	190	70	\(=	\(=	NOUN
bracis-19058	190	71	0.00005\	0.00005\	ADJ
bracis-19058	190	72	)	)	PUNCT
bracis-19058	190	73	.	.	PUNCT
bracis-19058	191	1	training	training	NOUN
bracis-19058	191	2	setup	setup	NOUN
bracis-19058	191	3	.	.	PUNCT
bracis-19058	192	1	all	all	DET
bracis-19058	192	2	the	the	DET
bracis-19058	192	3	models	model	NOUN
bracis-19058	192	4	are	be	AUX
bracis-19058	192	5	optimized	optimize	VERB
bracis-19058	192	6	with	with	ADP
bracis-19058	192	7	adam	adam	PROPN
bracis-19058	192	8	using	use	VERB
bracis-19058	192	9	the	the	DET
bracis-19058	192	10	\(\ell	\(\ell	NOUN
bracis-19058	192	11	_	_	PRON
bracis-19058	192	12	1\	1\	NUM
bracis-19058	192	13	)	)	PUNCT
bracis-19058	192	14	loss	loss	NOUN
bracis-19058	192	15	as	as	ADP
bracis-19058	192	16	the	the	DET
bracis-19058	192	17	cost	cost	NOUN
bracis-19058	192	18	function	function	NOUN
bracis-19058	192	19	associated	associate	VERB
bracis-19058	192	20	with	with	ADP
bracis-19058	192	21	the	the	DET
bracis-19058	192	22	hr	hr	NOUN
bracis-19058	192	23	predictions	prediction	NOUN
bracis-19058	192	24	.	.	PUNCT
bracis-19058	193	1	in	in	ADP
bracis-19058	193	2	each	each	DET
bracis-19058	193	3	epoch	epoch	NOUN
bracis-19058	193	4	,	,	PUNCT
bracis-19058	193	5	we	we	PRON
bracis-19058	193	6	compute	compute	VERB
bracis-19058	193	7	the	the	DET
bracis-19058	193	8	validation	validation	NOUN
bracis-19058	193	9	loss	loss	NOUN
bracis-19058	193	10	.	.	PUNCT
bracis-19058	194	1	after	after	SCONJ
bracis-19058	194	2	training	training	NOUN
bracis-19058	194	3	is	be	AUX
bracis-19058	194	4	complete	complete	ADJ
bracis-19058	194	5	,	,	PUNCT
bracis-19058	194	6	we	we	PRON
bracis-19058	194	7	load	load	VERB
bracis-19058	194	8	the	the	DET
bracis-19058	194	9	model	model	NOUN
bracis-19058	194	10	weights	weight	NOUN
bracis-19058	194	11	that	that	PRON
bracis-19058	194	12	yielded	yield	VERB
bracis-19058	194	13	the	the	DET
bracis-19058	194	14	lowest	low	ADJ
bracis-19058	194	15	validation	validation	NOUN
bracis-19058	194	16	loss	loss	NOUN
bracis-19058	194	17	.	.	PUNCT
bracis-19058	195	1	training	training	NOUN
bracis-19058	195	2	was	be	AUX
bracis-19058	195	3	done	do	VERB
bracis-19058	195	4	using	use	VERB
bracis-19058	195	5	a	a	DET
bracis-19058	195	6	batch	batch	NOUN
bracis-19058	195	7	size	size	NOUN
bracis-19058	195	8	of	of	ADP
bracis-19058	195	9	64	64	NUM
bracis-19058	195	10	over	over	ADP
bracis-19058	195	11	100	100	NUM
bracis-19058	195	12	epochs	epoch	NOUN
bracis-19058	195	13	for	for	ADP
bracis-19058	195	14	pce	pce	PROPN
bracis-19058	195	15	-	-	PROPN
bracis-19058	195	16	lstm	lstm	PROPN
bracis-19058	195	17	and	and	CCONJ
bracis-19058	195	18	deepconvlstm	deepconvlstm	PROPN
bracis-19058	195	19	.	.	PUNCT
bracis-19058	196	1	ffnn	ffnn	NOUN
bracis-19058	196	2	showed	show	VERB
bracis-19058	196	3	slower	slow	ADJ
bracis-19058	196	4	convergence	convergence	NOUN
bracis-19058	196	5	and	and	CCONJ
bracis-19058	196	6	hence	hence	ADV
bracis-19058	196	7	was	be	AUX
bracis-19058	196	8	trained	train	VERB
bracis-19058	196	9	for	for	ADP
bracis-19058	196	10	200	200	NUM
bracis-19058	196	11	epochs	epoch	NOUN
bracis-19058	196	12	.	.	PUNCT
bracis-19058	197	1	subject	subject	NOUN
bracis-19058	197	2	9	9	NUM
bracis-19058	197	3	of	of	ADP
bracis-19058	197	4	the	the	DET
bracis-19058	197	5	pamap2	pamap2	NOUN
bracis-19058	197	6	dataset	dataset	NOUN
bracis-19058	197	7	was	be	AUX
bracis-19058	197	8	not	not	PART
bracis-19058	197	9	included	include	VERB
bracis-19058	197	10	in	in	ADP
bracis-19058	197	11	the	the	DET
bracis-19058	197	12	analysis	analysis	NOUN
bracis-19058	197	13	because	because	SCONJ
bracis-19058	197	14	the	the	DET
bracis-19058	197	15	corresponding	corresponding	ADJ
bracis-19058	197	16	time	time	NOUN
bracis-19058	197	17	series	series	NOUN
bracis-19058	197	18	is	be	AUX
bracis-19058	197	19	shorter	short	ADJ
bracis-19058	197	20	than	than	ADP
bracis-19058	197	21	the	the	DET
bracis-19058	197	22	length	length	NOUN
bracis-19058	197	23	of	of	ADP
bracis-19058	197	24	the	the	DET
bracis-19058	197	25	training	training	NOUN
bracis-19058	197	26	segment	segment	NOUN
bracis-19058	197	27	(	(	PUNCT
bracis-19058	197	28	102	102	NUM
bracis-19058	197	29	s	s	NOUN
bracis-19058	197	30	)	)	PUNCT
bracis-19058	197	31	.	.	PUNCT
bracis-19058	198	1	mean	mean	VERB
bracis-19058	198	2	vs.	vs.	ADP
bracis-19058	198	3	ensemble	ensemble	ADJ
bracis-19058	198	4	performance	performance	NOUN
bracis-19058	198	5	.	.	PUNCT
bracis-19058	199	1	each	each	DET
bracis-19058	199	2	method	method	NOUN
bracis-19058	199	3	is	be	AUX
bracis-19058	199	4	trained	train	VERB
bracis-19058	199	5	7	7	NUM
bracis-19058	199	6	times	time	NOUN
bracis-19058	199	7	for	for	ADP
bracis-19058	199	8	each	each	DET
bracis-19058	199	9	test	test	NOUN
bracis-19058	199	10	subject	subject	NOUN
bracis-19058	199	11	(	(	PUNCT
bracis-19058	199	12	using	use	VERB
bracis-19058	199	13	different	different	ADJ
bracis-19058	199	14	train	train	NOUN
bracis-19058	199	15	-	-	PUNCT
bracis-19058	199	16	validation	validation	NOUN
bracis-19058	199	17	splits	split	NOUN
bracis-19058	199	18	)	)	PUNCT
bracis-19058	199	19	.	.	PUNCT
bracis-19058	200	1	we	we	PRON
bracis-19058	200	2	compute	compute	VERB
bracis-19058	200	3	a	a	DET
bracis-19058	200	4	“	"	PUNCT
bracis-19058	200	5	mean	mean	ADJ
bracis-19058	200	6	”	"	PUNCT
bracis-19058	200	7	performance	performance	NOUN
bracis-19058	200	8	by	by	ADP
bracis-19058	200	9	averaging	average	VERB
bracis-19058	200	10	the	the	DET
bracis-19058	200	11	errors	error	NOUN
bracis-19058	200	12	of	of	ADP
bracis-19058	200	13	individual	individual	ADJ
bracis-19058	200	14	models	model	NOUN
bracis-19058	200	15	and	and	CCONJ
bracis-19058	200	16	an	an	DET
bracis-19058	200	17	“	"	PUNCT
bracis-19058	200	18	ensemble	ensemble	ADJ
bracis-19058	200	19	”	"	PUNCT
bracis-19058	200	20	performance	performance	NOUN
bracis-19058	200	21	by	by	ADP
bracis-19058	200	22	averaging	average	VERB
bracis-19058	200	23	the	the	DET
bracis-19058	200	24	predictions	prediction	NOUN
bracis-19058	200	25	and	and	CCONJ
bracis-19058	200	26	then	then	ADV
bracis-19058	200	27	computing	compute	VERB
bracis-19058	200	28	the	the	DET
bracis-19058	200	29	resulting	result	VERB
bracis-19058	200	30	error	error	NOUN
bracis-19058	200	31	.	.	PUNCT
bracis-19058	201	1	table	table	NOUN
bracis-19058	201	2	1	1	NUM
bracis-19058	201	3	.	.	X
bracis-19058	201	4	error	error	NOUN
bracis-19058	201	5	metrics	metric	NOUN
bracis-19058	201	6	on	on	ADP
bracis-19058	201	7	the	the	DET
bracis-19058	201	8	dalia	dalia	PROPN
bracis-19058	201	9	dataset	dataset	NOUN
bracis-19058	201	10	(	(	PUNCT
bracis-19058	201	11	best	well	ADV
bracis-19058	201	12	shown	show	VERB
bracis-19058	201	13	in	in	ADP
bracis-19058	201	14	bold)full	bold)full	PRON
bracis-19058	201	15	size	size	NOUN
bracis-19058	201	16	table	table	NOUN
bracis-19058	201	17	5.2	5.2	NUM
bracis-19058	201	18	imu	imu	NOUN
bracis-19058	201	19	-	-	PUNCT
bracis-19058	201	20	based	base	VERB
bracis-19058	201	21	multi	multi	ADJ
bracis-19058	201	22	-	-	ADJ
bracis-19058	201	23	step	step	ADJ
bracis-19058	201	24	hr	hr	NOUN
bracis-19058	201	25	estimation	estimation	NOUN
bracis-19058	201	26	we	we	PRON
bracis-19058	201	27	begin	begin	VERB
bracis-19058	201	28	by	by	ADP
bracis-19058	201	29	analyzing	analyze	VERB
bracis-19058	201	30	the	the	DET
bracis-19058	201	31	performance	performance	NOUN
bracis-19058	201	32	metrics	metric	NOUN
bracis-19058	201	33	.	.	PUNCT
bracis-19058	202	1	table	table	NOUN
bracis-19058	202	2	 	 	SPACE
bracis-19058	202	3	1	1	NUM
bracis-19058	202	4	and	and	CCONJ
bracis-19058	202	5	2	2	NUM
bracis-19058	202	6	shows	show	VERB
bracis-19058	202	7	the	the	DET
bracis-19058	202	8	mean	mean	NOUN
bracis-19058	202	9	and	and	CCONJ
bracis-19058	202	10	the	the	DET
bracis-19058	202	11	ensemble	ensemble	ADJ
bracis-19058	202	12	performances	performance	NOUN
bracis-19058	202	13	w.r.t	w.r.t	VERB
bracis-19058	202	14	.	.	PUNCT
bracis-19058	203	1	mae	mae	PROPN
bracis-19058	203	2	by	by	ADP
bracis-19058	203	3	test	test	NOUN
bracis-19058	203	4	subject	subject	NOUN
bracis-19058	203	5	and	and	CCONJ
bracis-19058	203	6	mae	mae	PROPN
bracis-19058	203	7	averages	average	NOUN
bracis-19058	203	8	for	for	ADP
bracis-19058	203	9	pce	pce	PROPN
bracis-19058	203	10	-	-	PROPN
bracis-19058	203	11	lstm	lstm	PROPN
bracis-19058	203	12	and	and	CCONJ
bracis-19058	203	13	the	the	DET
bracis-19058	203	14	baselines	baseline	NOUN
bracis-19058	203	15	,	,	PUNCT
bracis-19058	203	16	on	on	ADP
bracis-19058	203	17	dalia	dalia	PROPN
bracis-19058	203	18	and	and	CCONJ
bracis-19058	203	19	pamap2	pamap2	VERB
bracis-19058	203	20	respectively	respectively	ADV
bracis-19058	203	21	.	.	PUNCT
bracis-19058	204	1	due	due	ADP
bracis-19058	204	2	to	to	ADP
bracis-19058	204	3	space	space	NOUN
bracis-19058	204	4	limitations	limitation	NOUN
bracis-19058	204	5	,	,	PUNCT
bracis-19058	204	6	we	we	PRON
bracis-19058	204	7	only	only	ADV
bracis-19058	204	8	report	report	VERB
bracis-19058	204	9	\(\ell	\(\ell	VERB
bracis-19058	205	1	_	_	PRON
bracis-19058	205	2	1\	1\	NUM
bracis-19058	205	3	)	)	PUNCT
bracis-19058	205	4	and	and	CCONJ
bracis-19058	205	5	rmse	rmse	ADJ
bracis-19058	205	6	averages	average	NOUN
bracis-19058	205	7	,	,	PUNCT
bracis-19058	205	8	but	but	CCONJ
bracis-19058	205	9	the	the	DET
bracis-19058	205	10	complete	complete	ADJ
bracis-19058	205	11	results	result	NOUN
bracis-19058	205	12	can	can	AUX
bracis-19058	205	13	be	be	AUX
bracis-19058	205	14	found	find	VERB
bracis-19058	205	15	in	in	ADP
bracis-19058	205	16	our	our	PRON
bracis-19058	205	17	technical	technical	ADJ
bracis-19058	205	18	report	report	NOUN
bracis-19058	205	19	 	 	SPACE
bracis-19058	206	1	[	[	X
bracis-19058	206	2	19	19	NUM
bracis-19058	206	3	]	]	PUNCT
bracis-19058	206	4	.	.	PUNCT
bracis-19058	207	1	we	we	PRON
bracis-19058	207	2	note	note	VERB
bracis-19058	207	3	that	that	SCONJ
bracis-19058	207	4	the	the	DET
bracis-19058	207	5	series	series	NOUN
bracis-19058	207	6	of	of	ADP
bracis-19058	207	7	subjects	subject	NOUN
bracis-19058	207	8	5	5	NUM
bracis-19058	207	9	and	and	CCONJ
bracis-19058	207	10	6	6	NUM
bracis-19058	207	11	of	of	ADP
bracis-19058	207	12	dalia	dalia	PROPN
bracis-19058	207	13	dataset	dataset	NOUN
bracis-19058	207	14	can	can	AUX
bracis-19058	207	15	be	be	AUX
bracis-19058	207	16	regarded	regard	VERB
bracis-19058	207	17	as	as	ADP
bracis-19058	207	18	outliers	outlier	NOUN
bracis-19058	207	19	as	as	ADP
bracis-19058	207	20	none	none	NOUN
bracis-19058	207	21	of	of	ADP
bracis-19058	207	22	the	the	DET
bracis-19058	207	23	methods	method	NOUN
bracis-19058	207	24	performed	perform	VERB
bracis-19058	207	25	well	well	ADV
bracis-19058	207	26	on	on	ADP
bracis-19058	207	27	them	they	PRON
bracis-19058	207	28	.	.	PUNCT
bracis-19058	208	1	as	as	SCONJ
bracis-19058	208	2	expected	expect	VERB
bracis-19058	208	3	,	,	PUNCT
bracis-19058	208	4	ensembles	ensemble	NOUN
bracis-19058	208	5	tend	tend	VERB
bracis-19058	208	6	to	to	PART
bracis-19058	208	7	outperform	outperform	VERB
bracis-19058	208	8	their	their	PRON
bracis-19058	208	9	standalone	standalone	NOUN
bracis-19058	208	10	counterparts	counterpart	NOUN
bracis-19058	208	11	.	.	PUNCT
bracis-19058	209	1	considering	consider	VERB
bracis-19058	209	2	the	the	DET
bracis-19058	209	3	ensemble	ensemble	ADJ
bracis-19058	209	4	performances	performance	NOUN
bracis-19058	209	5	,	,	PUNCT
bracis-19058	209	6	out	out	ADP
bracis-19058	209	7	of	of	ADP
bracis-19058	209	8	23	23	NUM
bracis-19058	209	9	subjects	subject	NOUN
bracis-19058	209	10	,	,	PUNCT
bracis-19058	209	11	ffnn	ffnn	NOUN
bracis-19058	209	12	,	,	PUNCT
bracis-19058	209	13	deepconvlstm	deepconvlstm	NOUN
bracis-19058	209	14	and	and	CCONJ
bracis-19058	209	15	pce	pce	PROPN
bracis-19058	209	16	-	-	PROPN
bracis-19058	209	17	lstm	lstm	NOUN
bracis-19058	209	18	achieve	achieve	VERB
bracis-19058	209	19	the	the	DET
bracis-19058	209	20	lowest	low	ADJ
bracis-19058	209	21	errors	error	NOUN
bracis-19058	209	22	for	for	ADP
bracis-19058	209	23	2	2	NUM
bracis-19058	209	24	,	,	PUNCT
bracis-19058	209	25	4	4	NUM
bracis-19058	209	26	and	and	CCONJ
bracis-19058	209	27	17	17	NUM
bracis-19058	209	28	subjects	subject	NOUN
bracis-19058	209	29	,	,	PUNCT
bracis-19058	209	30	respectively	respectively	ADV
bracis-19058	209	31	.	.	PUNCT
bracis-19058	210	1	the	the	DET
bracis-19058	210	2	lowest	low	ADJ
bracis-19058	210	3	average	average	ADJ
bracis-19058	210	4	error	error	NOUN
bracis-19058	210	5	is	be	AUX
bracis-19058	210	6	obtained	obtain	VERB
bracis-19058	210	7	by	by	ADP
bracis-19058	210	8	the	the	DET
bracis-19058	210	9	pce	pce	PROPN
bracis-19058	210	10	-	-	PROPN
bracis-19058	210	11	lstm	lstm	NOUN
bracis-19058	210	12	ensemble	ensemble	NOUN
bracis-19058	210	13	,	,	PUNCT
bracis-19058	210	14	with	with	ADP
bracis-19058	210	15	over	over	ADP
bracis-19058	210	16	11.5	11.5	NUM
bracis-19058	210	17	%	%	NOUN
bracis-19058	210	18	lower	low	ADJ
bracis-19058	210	19	mae	mae	PROPN
bracis-19058	210	20	and	and	CCONJ
bracis-19058	210	21	7.3	7.3	NUM
bracis-19058	210	22	%	%	NOUN
bracis-19058	210	23	lower	low	ADJ
bracis-19058	210	24	rmse	rmse	NOUN
bracis-19058	210	25	than	than	ADP
bracis-19058	210	26	the	the	DET
bracis-19058	210	27	next	next	ADJ
bracis-19058	210	28	best	good	ADJ
bracis-19058	210	29	method	method	NOUN
bracis-19058	210	30	.	.	PUNCT
bracis-19058	211	1	in	in	ADP
bracis-19058	211	2	relation	relation	NOUN
bracis-19058	211	3	to	to	ADP
bracis-19058	211	4	the	the	DET
bracis-19058	211	5	maximum	maximum	ADJ
bracis-19058	211	6	error	error	NOUN
bracis-19058	211	7	,	,	PUNCT
bracis-19058	211	8	our	our	PRON
bracis-19058	211	9	method	method	NOUN
bracis-19058	211	10	was	be	AUX
bracis-19058	211	11	over	over	ADP
bracis-19058	211	12	18	18	NUM
bracis-19058	211	13	%	%	NOUN
bracis-19058	211	14	better	well	ADJ
bracis-19058	211	15	than	than	ADP
bracis-19058	211	16	the	the	DET
bracis-19058	211	17	next	next	ADJ
bracis-19058	211	18	best	good	ADJ
bracis-19058	211	19	method	method	NOUN
bracis-19058	211	20	in	in	ADP
bracis-19058	211	21	the	the	DET
bracis-19058	211	22	dalia	dalia	PROPN
bracis-19058	211	23	dataset	dataset	NOUN
bracis-19058	211	24	,	,	PUNCT
bracis-19058	211	25	but	but	CCONJ
bracis-19058	211	26	just	just	ADV
bracis-19058	211	27	slightly	slightly	ADV
bracis-19058	211	28	better	well	ADJ
bracis-19058	211	29	than	than	ADP
bracis-19058	211	30	the	the	DET
bracis-19058	211	31	second	second	ADJ
bracis-19058	211	32	best	good	ADJ
bracis-19058	211	33	on	on	ADP
bracis-19058	211	34	the	the	DET
bracis-19058	211	35	pamap2	pamap2	ADJ
bracis-19058	211	36	dataset	dataset	NOUN
bracis-19058	211	37	.	.	PUNCT
bracis-19058	212	1	table	table	NOUN
bracis-19058	212	2	2	2	NUM
bracis-19058	212	3	.	.	X
bracis-19058	212	4	error	error	NOUN
bracis-19058	212	5	metrics	metric	NOUN
bracis-19058	212	6	on	on	ADP
bracis-19058	212	7	pamap2	pamap2	PROPN
bracis-19058	212	8	(	(	PUNCT
bracis-19058	212	9	best	well	ADV
bracis-19058	212	10	shown	show	VERB
bracis-19058	212	11	in	in	ADP
bracis-19058	212	12	bold)full	bold)full	X
bracis-19058	212	13	size	size	NOUN
bracis-19058	212	14	table	table	NOUN
bracis-19058	212	15	for	for	ADP
bracis-19058	212	16	a	a	DET
bracis-19058	212	17	qualitative	qualitative	ADJ
bracis-19058	212	18	evaluation	evaluation	NOUN
bracis-19058	212	19	,	,	PUNCT
bracis-19058	212	20	we	we	PRON
bracis-19058	212	21	plot	plot	VERB
bracis-19058	212	22	the	the	DET
bracis-19058	212	23	predictions	prediction	NOUN
bracis-19058	212	24	of	of	ADP
bracis-19058	212	25	each	each	DET
bracis-19058	212	26	model	model	NOUN
bracis-19058	212	27	.	.	PUNCT
bracis-19058	213	1	figure	figure	NOUN
bracis-19058	213	2	 	 	SPACE
bracis-19058	213	3	4	4	NUM
bracis-19058	213	4	shows	show	VERB
bracis-19058	213	5	the	the	DET
bracis-19058	213	6	ensemble	ensemble	ADJ
bracis-19058	213	7	predictions	prediction	NOUN
bracis-19058	213	8	for	for	ADP
bracis-19058	213	9	the	the	DET
bracis-19058	213	10	complete	complete	ADJ
bracis-19058	213	11	series	series	NOUN
bracis-19058	213	12	of	of	ADP
bracis-19058	213	13	five	five	NUM
bracis-19058	213	14	representative	representative	ADJ
bracis-19058	213	15	test	test	NOUN
bracis-19058	213	16	subjects	subject	NOUN
bracis-19058	213	17	in	in	ADP
bracis-19058	213	18	the	the	DET
bracis-19058	213	19	dalia	dalia	PROPN
bracis-19058	213	20	and	and	CCONJ
bracis-19058	213	21	pamap2	pamap2	ADJ
bracis-19058	213	22	datasets	dataset	NOUN
bracis-19058	213	23	.	.	PUNCT
bracis-19058	214	1	we	we	PRON
bracis-19058	214	2	observe	observe	VERB
bracis-19058	214	3	that	that	SCONJ
bracis-19058	214	4	deepconvlstm	deepconvlstm	PROPN
bracis-19058	214	5	fails	fail	VERB
bracis-19058	214	6	to	to	PART
bracis-19058	214	7	capture	capture	VERB
bracis-19058	214	8	the	the	DET
bracis-19058	214	9	variance	variance	NOUN
bracis-19058	214	10	of	of	ADP
bracis-19058	214	11	the	the	DET
bracis-19058	214	12	hr	hr	NOUN
bracis-19058	214	13	series	series	NOUN
bracis-19058	214	14	:	:	PUNCT
bracis-19058	214	15	although	although	SCONJ
bracis-19058	214	16	the	the	DET
bracis-19058	214	17	predictions	prediction	NOUN
bracis-19058	214	18	are	be	AUX
bracis-19058	214	19	correlated	correlate	VERB
bracis-19058	214	20	with	with	ADP
bracis-19058	214	21	changes	change	NOUN
bracis-19058	214	22	in	in	ADP
bracis-19058	214	23	hr	hr	NOUN
bracis-19058	214	24	,	,	PUNCT
bracis-19058	214	25	they	they	PRON
bracis-19058	214	26	tend	tend	VERB
bracis-19058	214	27	to	to	PART
bracis-19058	214	28	remain	remain	VERB
bracis-19058	214	29	close	close	ADJ
bracis-19058	214	30	to	to	ADP
bracis-19058	214	31	an	an	DET
bracis-19058	214	32	“	"	PUNCT
bracis-19058	214	33	average	average	ADJ
bracis-19058	214	34	”	"	PUNCT
bracis-19058	214	35	hr	hr	NOUN
bracis-19058	214	36	.	.	PUNCT
bracis-19058	215	1	ffnn	ffnn	NOUN
bracis-19058	215	2	,	,	PUNCT
bracis-19058	215	3	in	in	ADP
bracis-19058	215	4	turn	turn	NOUN
bracis-19058	215	5	,	,	PUNCT
bracis-19058	215	6	exhibits	exhibit	VERB
bracis-19058	215	7	more	more	ADJ
bracis-19058	215	8	variance	variance	NOUN
bracis-19058	215	9	,	,	PUNCT
bracis-19058	215	10	but	but	CCONJ
bracis-19058	215	11	can	can	AUX
bracis-19058	215	12	not	not	PART
bracis-19058	215	13	accurately	accurately	ADV
bracis-19058	215	14	capture	capture	VERB
bracis-19058	215	15	the	the	DET
bracis-19058	215	16	amplitude	amplitude	NOUN
bracis-19058	215	17	of	of	ADP
bracis-19058	215	18	the	the	DET
bracis-19058	215	19	peaks	peak	NOUN
bracis-19058	215	20	and	and	CCONJ
bracis-19058	215	21	sometimes	sometimes	ADV
bracis-19058	215	22	overestimates	overestimate	VERB
bracis-19058	215	23	the	the	DET
bracis-19058	215	24	hr	hr	NOUN
bracis-19058	215	25	.	.	PUNCT
bracis-19058	216	1	in	in	ADP
bracis-19058	216	2	contrast	contrast	NOUN
bracis-19058	216	3	,	,	PUNCT
bracis-19058	216	4	pce	pce	PROPN
bracis-19058	216	5	-	-	NOUN
bracis-19058	216	6	lstm	lstm	PROPN
bracis-19058	216	7	(	(	PUNCT
bracis-19058	216	8	our	our	PRON
bracis-19058	216	9	method	method	NOUN
bracis-19058	216	10	)	)	PUNCT
bracis-19058	216	11	can	can	AUX
bracis-19058	216	12	capture	capture	VERB
bracis-19058	216	13	both	both	DET
bracis-19058	216	14	peaks	peak	NOUN
bracis-19058	216	15	and	and	CCONJ
bracis-19058	216	16	valleys	valley	VERB
bracis-19058	216	17	more	more	ADV
bracis-19058	216	18	accurately	accurately	ADV
bracis-19058	216	19	than	than	ADP
bracis-19058	216	20	the	the	DET
bracis-19058	216	21	baselines	baseline	NOUN
bracis-19058	216	22	.	.	PUNCT
bracis-19058	217	1	5.3	5.3	NUM
bracis-19058	217	2	performance	performance	NOUN
bracis-19058	217	3	impact	impact	NOUN
bracis-19058	217	4	of	of	ADP
bracis-19058	217	5	 	 	SPACE
bracis-19058	217	6	pce	pce	PROPN
bracis-19058	217	7	-	-	PUNCT
bracis-19058	217	8	lstm	lstm	PROPN
bracis-19058	217	9	’s	’s	PART
bracis-19058	217	10	hidden	hide	VERB
bracis-19058	217	11	state	state	NOUN
bracis-19058	217	12	initialization	initialization	NOUN
bracis-19058	217	13	in	in	ADP
bracis-19058	217	14	this	this	DET
bracis-19058	217	15	section	section	NOUN
bracis-19058	217	16	we	we	PRON
bracis-19058	217	17	conduct	conduct	VERB
bracis-19058	217	18	an	an	DET
bracis-19058	217	19	ablation	ablation	NOUN
bracis-19058	217	20	study	study	NOUN
bracis-19058	217	21	to	to	PART
bracis-19058	217	22	demonstrate	demonstrate	VERB
bracis-19058	217	23	that	that	SCONJ
bracis-19058	217	24	pce	pce	PROPN
bracis-19058	217	25	-	-	PUNCT
bracis-19058	217	26	lstm	lstm	PROPN
bracis-19058	217	27	’s	’s	PART
bracis-19058	217	28	strategy	strategy	NOUN
bracis-19058	217	29	for	for	ADP
bracis-19058	217	30	initializing	initialize	VERB
bracis-19058	217	31	hidden	hide	VERB
bracis-19058	217	32	state	state	NOUN
bracis-19058	217	33	vectors	vector	NOUN
bracis-19058	217	34	is	be	AUX
bracis-19058	217	35	key	key	ADJ
bracis-19058	217	36	to	to	ADP
bracis-19058	217	37	boosting	boost	VERB
bracis-19058	217	38	the	the	DET
bracis-19058	217	39	model	model	NOUN
bracis-19058	217	40	’s	’s	PART
bracis-19058	217	41	performance	performance	NOUN
bracis-19058	217	42	.	.	PUNCT
bracis-19058	218	1	for	for	ADP
bracis-19058	218	2	conciseness	conciseness	NOUN
bracis-19058	218	3	,	,	PUNCT
bracis-19058	218	4	we	we	PRON
bracis-19058	218	5	limit	limit	VERB
bracis-19058	218	6	this	this	DET
bracis-19058	218	7	study	study	NOUN
bracis-19058	218	8	to	to	ADP
bracis-19058	218	9	the	the	DET
bracis-19058	218	10	dalia	dalia	PROPN
bracis-19058	218	11	dataset	dataset	NOUN
bracis-19058	218	12	,	,	PUNCT
bracis-19058	218	13	which	which	PRON
bracis-19058	218	14	contains	contain	VERB
bracis-19058	218	15	nearly	nearly	ADV
bracis-19058	218	16	twice	twice	DET
bracis-19058	218	17	the	the	DET
bracis-19058	218	18	number	number	NOUN
bracis-19058	218	19	of	of	ADP
bracis-19058	218	20	subjects	subject	NOUN
bracis-19058	218	21	,	,	PUNCT
bracis-19058	218	22	and	and	CCONJ
bracis-19058	218	23	a	a	DET
bracis-19058	218	24	longer	long	ADJ
bracis-19058	218	25	series	series	NOUN
bracis-19058	218	26	per	per	ADP
bracis-19058	218	27	subject	subject	NOUN
bracis-19058	218	28	.	.	PUNCT
bracis-19058	219	1	a	a	DET
bracis-19058	219	2	typical	typical	ADJ
bracis-19058	219	3	strategy	strategy	NOUN
bracis-19058	219	4	to	to	PART
bracis-19058	219	5	extract	extract	VERB
bracis-19058	219	6	a	a	DET
bracis-19058	219	7	hidden	hidden	ADJ
bracis-19058	219	8	state	state	NOUN
bracis-19058	219	9	is	be	AUX
bracis-19058	219	10	to	to	PART
bracis-19058	219	11	use	use	VERB
bracis-19058	219	12	the	the	DET
bracis-19058	219	13	lstm	lstm	NOUN
bracis-19058	219	14	itself	itself	PRON
bracis-19058	219	15	to	to	PART
bracis-19058	219	16	encode	encode	VERB
bracis-19058	219	17	the	the	DET
bracis-19058	219	18	relationship	relationship	NOUN
bracis-19058	219	19	between	between	ADP
bracis-19058	219	20	sensor	sensor	NOUN
bracis-19058	219	21	data	datum	NOUN
bracis-19058	219	22	and	and	CCONJ
bracis-19058	219	23	hr	hr	NOUN
bracis-19058	219	24	.	.	PUNCT
bracis-19058	220	1	in	in	ADP
bracis-19058	220	2	contrast	contrast	NOUN
bracis-19058	220	3	,	,	PUNCT
bracis-19058	220	4	our	our	PRON
bracis-19058	220	5	model	model	NOUN
bracis-19058	220	6	initializes	initialize	VERB
bracis-19058	220	7	the	the	DET
bracis-19058	220	8	lstm	lstm	PROPN
bracis-19058	220	9	’s	’s	PART
bracis-19058	220	10	hidden	hide	VERB
bracis-19058	220	11	state	state	NOUN
bracis-19058	220	12	vectors	vector	NOUN
bracis-19058	220	13	by	by	ADP
bracis-19058	220	14	passing	pass	VERB
bracis-19058	220	15	the	the	DET
bracis-19058	220	16	sensor	sensor	NOUN
bracis-19058	220	17	and	and	CCONJ
bracis-19058	220	18	hr	hr	NOUN
bracis-19058	220	19	data	datum	NOUN
bracis-19058	220	20	corresponding	correspond	VERB
bracis-19058	220	21	to	to	ADP
bracis-19058	220	22	the	the	DET
bracis-19058	220	23	first	first	ADJ
bracis-19058	220	24	\(i=12\	\(i=12\	NOUN
bracis-19058	220	25	)	)	PUNCT
bracis-19058	220	26	time	time	NOUN
bracis-19058	220	27	snippets	snippet	NOUN
bracis-19058	220	28	(	(	PUNCT
bracis-19058	220	29	26	26	NUM
bracis-19058	220	30	s	s	NOUN
bracis-19058	220	31	)	)	PUNCT
bracis-19058	220	32	of	of	ADP
bracis-19058	220	33	the	the	DET
bracis-19058	220	34	series	series	NOUN
bracis-19058	220	35	through	through	ADP
bracis-19058	220	36	the	the	DET
bracis-19058	220	37	physical	physical	ADJ
bracis-19058	220	38	conditioning	conditioning	NOUN
bracis-19058	220	39	encoder	encoder	NOUN
bracis-19058	220	40	(	(	PUNCT
bracis-19058	220	41	pc	pc	NOUN
bracis-19058	220	42	encoder	encoder	NOUN
bracis-19058	220	43	)	)	PUNCT
bracis-19058	220	44	.	.	PUNCT
bracis-19058	221	1	as	as	SCONJ
bracis-19058	221	2	we	we	PRON
bracis-19058	221	3	assume	assume	VERB
bracis-19058	221	4	that	that	SCONJ
bracis-19058	221	5	the	the	DET
bracis-19058	221	6	pce	pce	PROPN
bracis-19058	221	7	partially	partially	ADV
bracis-19058	221	8	encodes	encode	VERB
bracis-19058	221	9	an	an	DET
bracis-19058	221	10	individual	individual	NOUN
bracis-19058	221	11	’s	’s	PART
bracis-19058	221	12	physical	physical	ADJ
bracis-19058	221	13	conditioning	conditioning	NOUN
bracis-19058	221	14	,	,	PUNCT
bracis-19058	221	15	we	we	PRON
bracis-19058	221	16	expect	expect	VERB
bracis-19058	221	17	that	that	SCONJ
bracis-19058	221	18	the	the	DET
bracis-19058	221	19	joint	joint	ADJ
bracis-19058	221	20	training	training	NOUN
bracis-19058	221	21	of	of	ADP
bracis-19058	221	22	the	the	DET
bracis-19058	221	23	pce	pce	ADJ
bracis-19058	221	24	-	-	PROPN
bracis-19058	221	25	lstm	lstm	ADJ
bracis-19058	221	26	regression	regression	NOUN
bracis-19058	221	27	and	and	CCONJ
bracis-19058	221	28	the	the	DET
bracis-19058	221	29	discriminator	discriminator	NOUN
bracis-19058	221	30	will	will	AUX
bracis-19058	221	31	improve	improve	VERB
bracis-19058	221	32	the	the	DET
bracis-19058	221	33	regression	regression	NOUN
bracis-19058	221	34	predictions	prediction	NOUN
bracis-19058	221	35	by	by	ADP
bracis-19058	221	36	promoting	promote	VERB
bracis-19058	221	37	a	a	DET
bracis-19058	221	38	better	well	ADJ
bracis-19058	221	39	training	training	NOUN
bracis-19058	221	40	of	of	ADP
bracis-19058	221	41	the	the	DET
bracis-19058	221	42	pc	pc	NOUN
bracis-19058	221	43	encoder	encoder	NOUN
bracis-19058	221	44	subnetwork	subnetwork	NOUN
bracis-19058	221	45	.	.	PUNCT
bracis-19058	222	1	fig	fig	NOUN
bracis-19058	222	2	.	.	PUNCT
bracis-19058	223	1	4	4	X
bracis-19058	223	2	.	.	X
bracis-19058	223	3	long	long	ADJ
bracis-19058	223	4	-	-	PUNCT
bracis-19058	223	5	term	term	NOUN
bracis-19058	223	6	imu	imu	NOUN
bracis-19058	223	7	-	-	PUNCT
bracis-19058	223	8	based	base	VERB
bracis-19058	223	9	hr	hr	NOUN
bracis-19058	223	10	estimation	estimation	NOUN
bracis-19058	223	11	full	full	ADJ
bracis-19058	223	12	size	size	NOUN
bracis-19058	223	13	image	image	NOUN
bracis-19058	223	14	to	to	PART
bracis-19058	223	15	quantify	quantify	VERB
bracis-19058	223	16	the	the	DET
bracis-19058	223	17	performance	performance	NOUN
bracis-19058	223	18	impact	impact	NOUN
bracis-19058	223	19	of	of	ADP
bracis-19058	223	20	the	the	DET
bracis-19058	223	21	proposed	propose	VERB
bracis-19058	223	22	initialization	initialization	NOUN
bracis-19058	223	23	and	and	CCONJ
bracis-19058	223	24	of	of	ADP
bracis-19058	223	25	using	use	VERB
bracis-19058	223	26	the	the	DET
bracis-19058	223	27	discriminator	discriminator	NOUN
bracis-19058	223	28	,	,	PUNCT
bracis-19058	223	29	we	we	PRON
bracis-19058	223	30	conduct	conduct	VERB
bracis-19058	223	31	additional	additional	ADJ
bracis-19058	223	32	experiments	experiment	NOUN
bracis-19058	223	33	with	with	ADP
bracis-19058	223	34	alternative	alternative	ADJ
bracis-19058	223	35	initialization	initialization	NOUN
bracis-19058	223	36	strategies	strategy	NOUN
bracis-19058	223	37	.	.	PUNCT
bracis-19058	224	1	in	in	ADP
bracis-19058	224	2	what	what	PRON
bracis-19058	224	3	follows	follow	VERB
bracis-19058	224	4	,	,	PUNCT
bracis-19058	224	5	“	"	PUNCT
bracis-19058	224	6	with	with	ADP
bracis-19058	224	7	discr	discr	NOUN
bracis-19058	224	8	.	.	PUNCT
bracis-19058	224	9	”	"	PUNCT
bracis-19058	224	10	indicates	indicate	VERB
bracis-19058	224	11	the	the	DET
bracis-19058	224	12	joint	joint	ADJ
bracis-19058	224	13	training	training	NOUN
bracis-19058	224	14	with	with	ADP
bracis-19058	224	15	the	the	DET
bracis-19058	224	16	discriminator	discriminator	NOUN
bracis-19058	224	17	,	,	PUNCT
bracis-19058	224	18	“	"	PUNCT
bracis-19058	224	19	without	without	ADP
bracis-19058	224	20	discr	discr	NOUN
bracis-19058	224	21	.	.	PUNCT
bracis-19058	224	22	”	"	PUNCT
bracis-19058	224	23	indicates	indicate	VERB
bracis-19058	224	24	that	that	SCONJ
bracis-19058	224	25	the	the	DET
bracis-19058	224	26	discriminator	discriminator	NOUN
bracis-19058	224	27	is	be	AUX
bracis-19058	224	28	not	not	PART
bracis-19058	224	29	used	use	VERB
bracis-19058	224	30	;	;	PUNCT
bracis-19058	224	31	and	and	CCONJ
bracis-19058	224	32	“	"	PUNCT
bracis-19058	224	33	lstm	lstm	ADJ
bracis-19058	224	34	self	self	NOUN
bracis-19058	224	35	-	-	PUNCT
bracis-19058	224	36	encode	encode	ADJ
bracis-19058	224	37	”	"	PUNCT
bracis-19058	224	38	,	,	PUNCT
bracis-19058	224	39	indicates	indicate	VERB
bracis-19058	224	40	that	that	SCONJ
bracis-19058	224	41	hidden	hide	VERB
bracis-19058	224	42	state	state	NOUN
bracis-19058	224	43	vectors	vector	NOUN
bracis-19058	224	44	are	be	AUX
bracis-19058	224	45	initialized	initialize	VERB
bracis-19058	224	46	by	by	ADP
bracis-19058	224	47	feeding	feed	VERB
bracis-19058	224	48	the	the	DET
bracis-19058	224	49	hr	hr	NOUN
bracis-19058	224	50	to	to	ADP
bracis-19058	224	51	the	the	DET
bracis-19058	224	52	network	network	NOUN
bracis-19058	224	53	as	as	ADP
bracis-19058	224	54	an	an	DET
bracis-19058	224	55	additional	additional	ADJ
bracis-19058	224	56	input	input	NOUN
bracis-19058	224	57	channel	channel	NOUN
bracis-19058	224	58	in	in	ADP
bracis-19058	224	59	the	the	DET
bracis-19058	224	60	ts	ts	NOUN
bracis-19058	224	61	of	of	ADP
bracis-19058	224	62	the	the	DET
bracis-19058	224	63	initialization	initialization	NOUN
bracis-19058	224	64	segment	segment	NOUN
bracis-19058	224	65	(	(	PUNCT
bracis-19058	224	66	replaced	replace	VERB
bracis-19058	224	67	by	by	ADP
bracis-19058	224	68	zeros	zero	NOUN
bracis-19058	224	69	during	during	ADP
bracis-19058	224	70	the	the	DET
bracis-19058	224	71	prediction	prediction	NOUN
bracis-19058	224	72	segment	segment	NOUN
bracis-19058	224	73	)	)	PUNCT
bracis-19058	224	74	.	.	PUNCT
bracis-19058	225	1	table	table	NOUN
bracis-19058	225	2	3	3	NUM
bracis-19058	225	3	.	.	PUNCT
bracis-19058	225	4	ablation	ablation	NOUN
bracis-19058	225	5	:	:	PUNCT
bracis-19058	226	1	error	error	NOUN
bracis-19058	226	2	results	result	NOUN
bracis-19058	226	3	for	for	ADP
bracis-19058	226	4	variations	variation	NOUN
bracis-19058	226	5	of	of	ADP
bracis-19058	226	6	the	the	DET
bracis-19058	226	7	pce	pce	ADJ
bracis-19058	226	8	-	-	PROPN
bracis-19058	226	9	lstm	lstm	ADJ
bracis-19058	226	10	model	model	NOUN
bracis-19058	226	11	on	on	ADP
bracis-19058	226	12	daliafull	daliafull	ADJ
bracis-19058	226	13	size	size	NOUN
bracis-19058	226	14	table	table	NOUN
bracis-19058	226	15	table	table	NOUN
bracis-19058	226	16	 	 	SPACE
bracis-19058	226	17	3	3	NUM
bracis-19058	226	18	shows	show	VERB
bracis-19058	226	19	the	the	DET
bracis-19058	226	20	prediction	prediction	NOUN
bracis-19058	226	21	results	result	VERB
bracis-19058	226	22	for	for	ADP
bracis-19058	226	23	these	these	DET
bracis-19058	226	24	experiments	experiment	NOUN
bracis-19058	226	25	on	on	ADP
bracis-19058	226	26	dalia	dalia	PROPN
bracis-19058	226	27	.	.	PUNCT
bracis-19058	227	1	pce	pce	PROPN
bracis-19058	227	2	-	-	PUNCT
bracis-19058	227	3	lstm	lstm	PROPN
bracis-19058	227	4	’s	’s	PART
bracis-19058	227	5	outperforms	outperform	VERB
bracis-19058	227	6	an	an	DET
bracis-19058	227	7	lstm	lstm	NOUN
bracis-19058	227	8	self	self	NOUN
bracis-19058	227	9	-	-	PUNCT
bracis-19058	227	10	encode	encode	ADJ
bracis-19058	227	11	initialization	initialization	NOUN
bracis-19058	227	12	strategy	strategy	NOUN
bracis-19058	227	13	even	even	ADV
bracis-19058	227	14	without	without	ADP
bracis-19058	227	15	a	a	DET
bracis-19058	227	16	discriminator	discriminator	NOUN
bracis-19058	227	17	,	,	PUNCT
bracis-19058	227	18	but	but	CCONJ
bracis-19058	227	19	using	use	VERB
bracis-19058	227	20	the	the	DET
bracis-19058	227	21	discriminator	discriminator	NOUN
bracis-19058	227	22	further	far	ADV
bracis-19058	227	23	reduces	reduce	VERB
bracis-19058	227	24	the	the	DET
bracis-19058	227	25	error	error	NOUN
bracis-19058	227	26	.	.	PUNCT
bracis-19058	228	1	5.4	5.4	NUM
bracis-19058	228	2	ppg	ppg	NOUN
bracis-19058	228	3	-	-	PUNCT
bracis-19058	228	4	based	base	VERB
bracis-19058	228	5	hr	hr	NOUN
bracis-19058	228	6	estimation	estimation	NOUN
bracis-19058	228	7	we	we	PRON
bracis-19058	228	8	adapt	adapt	VERB
bracis-19058	228	9	pce	pce	NOUN
bracis-19058	228	10	-	-	NOUN
bracis-19058	228	11	lstm	lstm	NOUN
bracis-19058	228	12	for	for	ADP
bracis-19058	228	13	ppg	ppg	NOUN
bracis-19058	228	14	-	-	PUNCT
bracis-19058	228	15	based	base	VERB
bracis-19058	228	16	hr	hr	NOUN
bracis-19058	228	17	estimation	estimation	NOUN
bracis-19058	228	18	.	.	PUNCT
bracis-19058	229	1	while	while	SCONJ
bracis-19058	229	2	similar	similar	ADJ
bracis-19058	229	3	to	to	ADP
bracis-19058	229	4	the	the	DET
bracis-19058	229	5	imu	imu	NOUN
bracis-19058	229	6	-	-	PUNCT
bracis-19058	229	7	based	base	VERB
bracis-19058	229	8	hr	hr	NOUN
bracis-19058	229	9	estimation	estimation	NOUN
bracis-19058	229	10	,	,	PUNCT
bracis-19058	229	11	the	the	DET
bracis-19058	229	12	former	former	ADJ
bracis-19058	229	13	task	task	NOUN
bracis-19058	229	14	has	have	AUX
bracis-19058	229	15	been	be	AUX
bracis-19058	229	16	better	well	ADV
bracis-19058	229	17	explored	explore	VERB
bracis-19058	229	18	in	in	ADP
bracis-19058	229	19	the	the	DET
bracis-19058	229	20	literature	literature	NOUN
bracis-19058	229	21	and	and	CCONJ
bracis-19058	229	22	has	have	VERB
bracis-19058	229	23	,	,	PUNCT
bracis-19058	229	24	therefore	therefore	ADV
bracis-19058	229	25	,	,	PUNCT
bracis-19058	229	26	well	well	ADV
bracis-19058	229	27	established	establish	VERB
bracis-19058	229	28	baselines	baseline	NOUN
bracis-19058	229	29	.	.	PUNCT
bracis-19058	230	1	for	for	ADP
bracis-19058	230	2	this	this	DET
bracis-19058	230	3	reason	reason	NOUN
bracis-19058	230	4	,	,	PUNCT
bracis-19058	230	5	we	we	PRON
bracis-19058	230	6	compare	compare	VERB
bracis-19058	230	7	pce	pce	NOUN
bracis-19058	230	8	-	-	NOUN
bracis-19058	230	9	lstm	lstm	NOUN
bracis-19058	230	10	to	to	ADP
bracis-19058	230	11	the	the	DET
bracis-19058	230	12	sota	sota	NOUN
bracis-19058	230	13	method	method	NOUN
bracis-19058	230	14	based	base	VERB
bracis-19058	230	15	on	on	ADP
bracis-19058	230	16	deep	deep	ADJ
bracis-19058	230	17	learning	learning	NOUN
bracis-19058	230	18	 	 	SPACE
bracis-19058	231	1	[	[	X
bracis-19058	231	2	1	1	NUM
bracis-19058	231	3	]	]	PUNCT
bracis-19058	231	4	.	.	PUNCT
bracis-19058	232	1	this	this	DET
bracis-19058	232	2	method	method	NOUN
bracis-19058	232	3	is	be	AUX
bracis-19058	232	4	based	base	VERB
bracis-19058	232	5	on	on	ADP
bracis-19058	232	6	cnns	cnn	NOUN
bracis-19058	232	7	and	and	CCONJ
bracis-19058	232	8	will	will	AUX
bracis-19058	232	9	be	be	AUX
bracis-19058	232	10	referred	refer	VERB
bracis-19058	232	11	simply	simply	ADV
bracis-19058	232	12	as	as	ADP
bracis-19058	232	13	cnn	cnn	PROPN
bracis-19058	232	14	.	.	PUNCT
bracis-19058	233	1	to	to	PART
bracis-19058	233	2	match	match	VERB
bracis-19058	233	3	the	the	DET
bracis-19058	233	4	length	length	NOUN
bracis-19058	233	5	and	and	CCONJ
bracis-19058	233	6	step	step	NOUN
bracis-19058	233	7	size	size	NOUN
bracis-19058	233	8	of	of	ADP
bracis-19058	233	9	each	each	DET
bracis-19058	233	10	time	time	NOUN
bracis-19058	233	11	snippet	snippet	NOUN
bracis-19058	233	12	in	in	ADP
bracis-19058	233	13	 	 	SPACE
bracis-19058	233	14	[	[	X
bracis-19058	233	15	1	1	NUM
bracis-19058	233	16	]	]	PUNCT
bracis-19058	233	17	,	,	PUNCT
bracis-19058	233	18	we	we	PRON
bracis-19058	233	19	set	set	VERB
bracis-19058	233	20	\(\tau	\(\tau	PUNCT
bracis-19058	234	1	_	_	PRON
bracis-19058	234	2	{	{	PUNCT
bracis-19058	234	3	\text	\text	NOUN
bracis-19058	234	4	{	{	PUNCT
bracis-19058	234	5	ts	ts	NOUN
bracis-19058	234	6	}	}	PUNCT
bracis-19058	234	7	}	}	PUNCT
bracis-19058	234	8	=	=	SYM
bracis-19058	234	9	8\	8\	NUM
bracis-19058	234	10	)	)	PUNCT
bracis-19058	234	11	and	and	CCONJ
bracis-19058	234	12	\(r_{\text	\(r_{\text	NOUN
bracis-19058	234	13	{	{	PUNCT
bracis-19058	234	14	ts	ts	NOUN
bracis-19058	234	15	}	}	PUNCT
bracis-19058	234	16	}	}	PUNCT
bracis-19058	234	17	=	=	SYM
bracis-19058	234	18	0.75\	0.75\	PROPN
bracis-19058	234	19	)	)	PUNCT
bracis-19058	234	20	for	for	ADP
bracis-19058	234	21	this	this	DET
bracis-19058	234	22	task	task	NOUN
bracis-19058	234	23	.	.	PUNCT
bracis-19058	235	1	table	table	NOUN
bracis-19058	235	2	 	 	SPACE
bracis-19058	235	3	4	4	NUM
bracis-19058	235	4	shows	show	VERB
bracis-19058	235	5	the	the	DET
bracis-19058	235	6	ensemble	ensemble	ADJ
bracis-19058	235	7	performance	performance	NOUN
bracis-19058	235	8	for	for	ADP
bracis-19058	235	9	each	each	DET
bracis-19058	235	10	method	method	NOUN
bracis-19058	235	11	on	on	ADP
bracis-19058	235	12	ppg	ppg	PROPN
bracis-19058	235	13	-	-	PUNCT
bracis-19058	235	14	dalia	dalia	PROPN
bracis-19058	235	15	and	and	CCONJ
bracis-19058	235	16	wesad	wesad	NOUN
bracis-19058	235	17	,	,	PUNCT
bracis-19058	235	18	when	when	SCONJ
bracis-19058	235	19	the	the	DET
bracis-19058	235	20	individual	individual	NOUN
bracis-19058	235	21	designated	designate	VERB
bracis-19058	235	22	in	in	ADP
bracis-19058	235	23	the	the	DET
bracis-19058	235	24	column	column	NOUN
bracis-19058	235	25	is	be	AUX
bracis-19058	235	26	the	the	DET
bracis-19058	235	27	test	test	NOUN
bracis-19058	235	28	subject	subject	NOUN
bracis-19058	235	29	.	.	PUNCT
bracis-19058	236	1	the	the	DET
bracis-19058	236	2	results	result	NOUN
bracis-19058	236	3	of	of	ADP
bracis-19058	236	4	cnn	cnn	PROPN
bracis-19058	236	5	were	be	AUX
bracis-19058	236	6	transcribed	transcribe	VERB
bracis-19058	236	7	directly	directly	ADV
bracis-19058	236	8	from	from	ADP
bracis-19058	236	9	[	[	X
bracis-19058	236	10	1	1	NUM
bracis-19058	236	11	]	]	PUNCT
bracis-19058	236	12	.	.	PUNCT
bracis-19058	237	1	the	the	DET
bracis-19058	237	2	last	last	ADJ
bracis-19058	237	3	column	column	NOUN
bracis-19058	237	4	shows	show	VERB
bracis-19058	237	5	the	the	DET
bracis-19058	237	6	row	row	NOUN
bracis-19058	237	7	average	average	NOUN
bracis-19058	237	8	.	.	PUNCT
bracis-19058	238	1	on	on	ADP
bracis-19058	238	2	both	both	DET
bracis-19058	238	3	datasets	dataset	NOUN
bracis-19058	238	4	,	,	PUNCT
bracis-19058	238	5	pce	pce	PROPN
bracis-19058	238	6	-	-	NOUN
bracis-19058	238	7	lstm	lstm	NOUN
bracis-19058	238	8	provides	provide	VERB
bracis-19058	238	9	error	error	NOUN
bracis-19058	238	10	reductions	reduction	NOUN
bracis-19058	238	11	of	of	ADP
bracis-19058	238	12	approximately	approximately	ADV
bracis-19058	238	13	32	32	NUM
bracis-19058	238	14	%	%	NOUN
bracis-19058	238	15	when	when	SCONJ
bracis-19058	238	16	compared	compare	VERB
bracis-19058	238	17	to	to	ADP
bracis-19058	238	18	the	the	DET
bracis-19058	238	19	sota	sota	NOUN
bracis-19058	238	20	method	method	NOUN
bracis-19058	238	21	.	.	PUNCT
bracis-19058	239	1	another	another	DET
bracis-19058	239	2	advantage	advantage	NOUN
bracis-19058	239	3	of	of	ADP
bracis-19058	239	4	pce	pce	PROPN
bracis-19058	239	5	-	-	NOUN
bracis-19058	239	6	lstm	lstm	NOUN
bracis-19058	239	7	is	be	AUX
bracis-19058	239	8	that	that	SCONJ
bracis-19058	239	9	it	it	PRON
bracis-19058	239	10	has	have	VERB
bracis-19058	239	11	2	2	NUM
bracis-19058	239	12	orders	order	NOUN
bracis-19058	239	13	of	of	ADP
bracis-19058	239	14	magnitude	magnitude	NOUN
bracis-19058	239	15	less	less	ADJ
bracis-19058	239	16	parameters	parameter	NOUN
bracis-19058	239	17	than	than	ADP
bracis-19058	239	18	the	the	DET
bracis-19058	239	19	cnn	cnn	PROPN
bracis-19058	239	20	–	–	PUNCT
bracis-19058	239	21	approx	approx	PROPN
bracis-19058	239	22	.	.	PUNCT
bracis-19058	240	1	120k	120k	NUM
bracis-19058	240	2	parameters	parameter	NOUN
bracis-19058	240	3	for	for	ADP
bracis-19058	240	4	pce	pce	PROPN
bracis-19058	240	5	-	-	PROPN
bracis-19058	240	6	lstm	lstm	PROPN
bracis-19058	240	7	vs.	vs.	ADP
bracis-19058	240	8	approx	approx	PROPN
bracis-19058	240	9	.	.	PUNCT
bracis-19058	241	1	8.5	8.5	NUM
bracis-19058	241	2	m	m	PROPN
bracis-19058	241	3	parameters	parameter	NOUN
bracis-19058	241	4	for	for	ADP
bracis-19058	241	5	the	the	DET
bracis-19058	241	6	cnn	cnn	PROPN
bracis-19058	241	7	model	model	PROPN
bracis-19058	241	8	.	.	PUNCT
bracis-19058	242	1	table	table	NOUN
bracis-19058	242	2	4	4	NUM
bracis-19058	242	3	.	.	PUNCT
bracis-19058	242	4	ppg	ppg	NOUN
bracis-19058	242	5	-	-	PUNCT
bracis-19058	242	6	based	base	VERB
bracis-19058	242	7	hr	hr	NOUN
bracis-19058	242	8	estimation	estimation	NOUN
bracis-19058	242	9	experimentsfull	experimentsfull	NOUN
bracis-19058	242	10	size	size	NOUN
bracis-19058	242	11	table	table	NOUN
bracis-19058	242	12	6	6	NUM
bracis-19058	242	13	related	relate	VERB
bracis-19058	242	14	work	work	NOUN
bracis-19058	242	15	few	few	ADJ
bracis-19058	242	16	studies	study	NOUN
bracis-19058	242	17	used	use	VERB
bracis-19058	242	18	imu	imu	NOUN
bracis-19058	242	19	sensors	sensor	NOUN
bracis-19058	242	20	to	to	PART
bracis-19058	242	21	predict	predict	VERB
bracis-19058	242	22	the	the	DET
bracis-19058	242	23	heart	heart	NOUN
bracis-19058	242	24	rate	rate	NOUN
bracis-19058	242	25	.	.	PUNCT
bracis-19058	243	1	[	[	X
bracis-19058	243	2	8	8	NUM
bracis-19058	243	3	]	]	PUNCT
bracis-19058	243	4	used	use	VERB
bracis-19058	243	5	a	a	DET
bracis-19058	243	6	simple	simple	ADJ
bracis-19058	243	7	feed	feed	NOUN
bracis-19058	243	8	-	-	PUNCT
bracis-19058	243	9	forward	forward	NOUN
bracis-19058	243	10	neural	neural	ADJ
bracis-19058	243	11	network	network	NOUN
bracis-19058	243	12	to	to	PART
bracis-19058	243	13	predict	predict	VERB
bracis-19058	243	14	the	the	DET
bracis-19058	243	15	hr	hr	NOUN
bracis-19058	243	16	one	one	NUM
bracis-19058	243	17	step	step	NOUN
bracis-19058	243	18	ahead	ahead	ADV
bracis-19058	243	19	,	,	PUNCT
bracis-19058	243	20	given	give	VERB
bracis-19058	243	21	its	its	PRON
bracis-19058	243	22	value	value	NOUN
bracis-19058	243	23	and	and	CCONJ
bracis-19058	243	24	the	the	DET
bracis-19058	243	25	average	average	ADJ
bracis-19058	243	26	signal	signal	NOUN
bracis-19058	243	27	of	of	ADP
bracis-19058	243	28	each	each	DET
bracis-19058	243	29	imu	imu	NOUN
bracis-19058	243	30	sensor	sensor	NOUN
bracis-19058	243	31	on	on	ADP
bracis-19058	243	32	the	the	DET
bracis-19058	243	33	previous	previous	ADJ
bracis-19058	243	34	step	step	NOUN
bracis-19058	243	35	.	.	PUNCT
bracis-19058	244	1	quite	quite	ADV
bracis-19058	244	2	similarly	similarly	ADV
bracis-19058	244	3	,	,	PUNCT
bracis-19058	244	4	[	[	X
bracis-19058	244	5	7	7	NUM
bracis-19058	244	6	]	]	PUNCT
bracis-19058	244	7	performed	perform	VERB
bracis-19058	244	8	a	a	DET
bracis-19058	244	9	multi	multi	ADJ
bracis-19058	244	10	-	-	ADJ
bracis-19058	244	11	step	step	ADJ
bracis-19058	244	12	hr	hr	NOUN
bracis-19058	244	13	prediction	prediction	NOUN
bracis-19058	244	14	by	by	ADP
bracis-19058	244	15	repeatedly	repeatedly	ADV
bracis-19058	244	16	using	use	VERB
bracis-19058	244	17	the	the	DET
bracis-19058	244	18	hr	hr	NOUN
bracis-19058	244	19	computed	compute	VERB
bracis-19058	244	20	for	for	ADP
bracis-19058	244	21	step	step	NOUN
bracis-19058	244	22	t	t	NOUN
bracis-19058	244	23	to	to	PART
bracis-19058	244	24	predict	predict	VERB
bracis-19058	244	25	the	the	DET
bracis-19058	244	26	hr	hr	NOUN
bracis-19058	244	27	for	for	ADP
bracis-19058	244	28	step	step	NOUN
bracis-19058	244	29	\(t+1\	\(t+1\	NOUN
bracis-19058	244	30	)	)	PUNCT
bracis-19058	244	31	.	.	PUNCT
bracis-19058	245	1	their	their	PRON
bracis-19058	245	2	experiments	experiment	NOUN
bracis-19058	245	3	demonstrated	demonstrate	VERB
bracis-19058	245	4	promising	promising	ADJ
bracis-19058	245	5	results	result	NOUN
bracis-19058	245	6	,	,	PUNCT
bracis-19058	245	7	but	but	CCONJ
bracis-19058	245	8	had	have	VERB
bracis-19058	245	9	some	some	DET
bracis-19058	245	10	notable	notable	ADJ
bracis-19058	245	11	deficiencies	deficiency	NOUN
bracis-19058	245	12	:	:	PUNCT
bracis-19058	245	13	they	they	PRON
bracis-19058	245	14	used	use	VERB
bracis-19058	245	15	data	datum	NOUN
bracis-19058	245	16	from	from	ADP
bracis-19058	245	17	a	a	DET
bracis-19058	245	18	single	single	ADJ
bracis-19058	245	19	individual	individual	NOUN
bracis-19058	245	20	in	in	ADP
bracis-19058	245	21	his	his	PRON
bracis-19058	245	22	daily	daily	ADJ
bracis-19058	245	23	activities	activity	NOUN
bracis-19058	245	24	,	,	PUNCT
bracis-19058	245	25	hence	hence	ADV
bracis-19058	245	26	without	without	ADP
bracis-19058	245	27	much	much	ADJ
bracis-19058	245	28	variation	variation	NOUN
bracis-19058	245	29	in	in	ADP
bracis-19058	245	30	hr	hr	NOUN
bracis-19058	245	31	values	value	NOUN
bracis-19058	245	32	.	.	PUNCT
bracis-19058	246	1	also	also	ADV
bracis-19058	246	2	on	on	ADP
bracis-19058	246	3	multi	multi	ADJ
bracis-19058	246	4	-	-	ADJ
bracis-19058	246	5	step	step	ADJ
bracis-19058	246	6	hr	hr	NOUN
bracis-19058	246	7	estimation	estimation	NOUN
bracis-19058	246	8	,	,	PUNCT
bracis-19058	246	9	but	but	CCONJ
bracis-19058	246	10	using	use	VERB
bracis-19058	246	11	speed	speed	NOUN
bracis-19058	246	12	and	and	CCONJ
bracis-19058	246	13	acceleration	acceleration	NOUN
bracis-19058	246	14	as	as	ADP
bracis-19058	246	15	inputs	input	NOUN
bracis-19058	246	16	,	,	PUNCT
bracis-19058	246	17	[	[	X
bracis-19058	246	18	6	6	NUM
bracis-19058	246	19	]	]	PUNCT
bracis-19058	246	20	proposed	propose	VERB
bracis-19058	246	21	a	a	DET
bracis-19058	246	22	bayesian	bayesian	NOUN
bracis-19058	246	23	combined	combine	VERB
bracis-19058	246	24	predictor	predictor	NOUN
bracis-19058	246	25	,	,	PUNCT
bracis-19058	246	26	where	where	SCONJ
bracis-19058	246	27	one	one	NUM
bracis-19058	246	28	estimator	estimator	NOUN
bracis-19058	246	29	was	be	AUX
bracis-19058	246	30	a	a	DET
bracis-19058	246	31	linear	linear	ADJ
bracis-19058	246	32	regression	regression	NOUN
bracis-19058	246	33	and	and	CCONJ
bracis-19058	246	34	the	the	DET
bracis-19058	246	35	other	other	ADJ
bracis-19058	246	36	,	,	PUNCT
bracis-19058	246	37	a	a	DET
bracis-19058	246	38	neural	neural	ADJ
bracis-19058	246	39	network	network	NOUN
bracis-19058	246	40	similar	similar	ADJ
bracis-19058	246	41	to	to	ADP
bracis-19058	246	42	that	that	PRON
bracis-19058	246	43	of	of	ADP
bracis-19058	246	44	[	[	X
bracis-19058	246	45	7	7	NUM
bracis-19058	246	46	]	]	PUNCT
bracis-19058	246	47	.	.	PUNCT
bracis-19058	247	1	in	in	ADP
bracis-19058	247	2	their	their	PRON
bracis-19058	247	3	experiments	experiment	NOUN
bracis-19058	247	4	,	,	PUNCT
bracis-19058	247	5	data	datum	NOUN
bracis-19058	247	6	from	from	ADP
bracis-19058	247	7	multiple	multiple	ADJ
bracis-19058	247	8	individuals	individual	NOUN
bracis-19058	247	9	performing	perform	VERB
bracis-19058	247	10	running	running	NOUN
bracis-19058	247	11	sessions	session	NOUN
bracis-19058	247	12	was	be	AUX
bracis-19058	247	13	used	use	VERB
bracis-19058	247	14	,	,	PUNCT
bracis-19058	247	15	thus	thus	ADV
bracis-19058	247	16	addressing	address	VERB
bracis-19058	247	17	some	some	PRON
bracis-19058	247	18	of	of	ADP
bracis-19058	247	19	the	the	DET
bracis-19058	247	20	shortcomings	shortcoming	NOUN
bracis-19058	247	21	in	in	ADP
bracis-19058	247	22	[	[	X
bracis-19058	247	23	7	7	NUM
bracis-19058	247	24	]	]	PUNCT
bracis-19058	247	25	.	.	PUNCT
bracis-19058	248	1	however	however	ADV
bracis-19058	248	2	,	,	PUNCT
bracis-19058	248	3	the	the	DET
bracis-19058	248	4	proposed	propose	VERB
bracis-19058	248	5	method	method	NOUN
bracis-19058	248	6	required	require	VERB
bracis-19058	248	7	calibration	calibration	NOUN
bracis-19058	248	8	with	with	ADP
bracis-19058	248	9	actual	actual	ADJ
bracis-19058	248	10	hr	hr	NOUN
bracis-19058	248	11	data	datum	NOUN
bracis-19058	248	12	every	every	DET
bracis-19058	248	13	90	90	NUM
bracis-19058	248	14	s	s	NOUN
bracis-19058	248	15	,	,	PUNCT
bracis-19058	248	16	hindering	hinder	VERB
bracis-19058	248	17	its	its	PRON
bracis-19058	248	18	practical	practical	ADJ
bracis-19058	248	19	use	use	NOUN
bracis-19058	248	20	.	.	PUNCT
bracis-19058	249	1	for	for	ADP
bracis-19058	249	2	har	har	PROPN
bracis-19058	249	3	,	,	PUNCT
bracis-19058	249	4	a	a	DET
bracis-19058	249	5	task	task	NOUN
bracis-19058	249	6	where	where	SCONJ
bracis-19058	249	7	the	the	DET
bracis-19058	249	8	use	use	NOUN
bracis-19058	249	9	of	of	ADP
bracis-19058	249	10	imu	imu	NOUN
bracis-19058	249	11	data	datum	NOUN
bracis-19058	249	12	is	be	AUX
bracis-19058	249	13	widespread	widespread	ADJ
bracis-19058	249	14	,	,	PUNCT
bracis-19058	249	15	[	[	X
bracis-19058	249	16	20	20	NUM
bracis-19058	249	17	]	]	PUNCT
bracis-19058	249	18	studied	study	VERB
bracis-19058	249	19	the	the	DET
bracis-19058	249	20	performance	performance	NOUN
bracis-19058	249	21	of	of	ADP
bracis-19058	249	22	deep	deep	ADJ
bracis-19058	249	23	feed	feed	NOUN
bracis-19058	249	24	-	-	PUNCT
bracis-19058	249	25	forward	forward	NOUN
bracis-19058	249	26	networks	network	NOUN
bracis-19058	249	27	(	(	PUNCT
bracis-19058	249	28	dnns	dnns	PROPN
bracis-19058	249	29	)	)	PUNCT
bracis-19058	249	30	,	,	PUNCT
bracis-19058	249	31	cnns	cnn	NOUN
bracis-19058	249	32	and	and	CCONJ
bracis-19058	249	33	lstms	lstms	ADJ
bracis-19058	249	34	,	,	PUNCT
bracis-19058	249	35	demonstrating	demonstrate	VERB
bracis-19058	249	36	that	that	SCONJ
bracis-19058	249	37	cnn	cnn	PROPN
bracis-19058	249	38	and	and	CCONJ
bracis-19058	249	39	lstm	lstm	NOUN
bracis-19058	249	40	based	base	VERB
bracis-19058	249	41	models	model	NOUN
bracis-19058	249	42	outperform	outperform	VERB
bracis-19058	249	43	dnns	dnn	NOUN
bracis-19058	249	44	and	and	CCONJ
bracis-19058	249	45	,	,	PUNCT
bracis-19058	249	46	among	among	ADP
bracis-19058	249	47	them	they	PRON
bracis-19058	249	48	,	,	PUNCT
bracis-19058	249	49	the	the	DET
bracis-19058	249	50	best	well	ADV
bracis-19058	249	51	performing	perform	VERB
bracis-19058	249	52	model	model	NOUN
bracis-19058	249	53	was	be	AUX
bracis-19058	249	54	very	very	ADV
bracis-19058	249	55	dependent	dependent	ADJ
bracis-19058	249	56	on	on	ADP
bracis-19058	249	57	the	the	DET
bracis-19058	249	58	dataset	dataset	NOUN
bracis-19058	249	59	used	use	VERB
bracis-19058	249	60	.	.	PUNCT
bracis-19058	250	1	the	the	DET
bracis-19058	250	2	hybrid	hybrid	ADJ
bracis-19058	250	3	cnn	cnn	PROPN
bracis-19058	250	4	and	and	CCONJ
bracis-19058	250	5	lstm	lstm	PROPN
bracis-19058	250	6	model	model	NOUN
bracis-19058	250	7	proposed	propose	VERB
bracis-19058	250	8	by	by	ADP
bracis-19058	250	9	[	[	X
bracis-19058	250	10	17	17	NUM
bracis-19058	250	11	]	]	PUNCT
bracis-19058	250	12	,	,	PUNCT
bracis-19058	250	13	achieved	achieve	VERB
bracis-19058	250	14	good	good	ADJ
bracis-19058	250	15	results	result	NOUN
bracis-19058	250	16	but	but	CCONJ
bracis-19058	250	17	was	be	AUX
bracis-19058	250	18	surpassed	surpass	VERB
bracis-19058	250	19	by	by	ADP
bracis-19058	250	20	the	the	DET
bracis-19058	250	21	cnn	cnn	PROPN
bracis-19058	250	22	-	-	PUNCT
bracis-19058	250	23	based	base	VERB
bracis-19058	250	24	architecture	architecture	NOUN
bracis-19058	250	25	of	of	ADP
bracis-19058	250	26	[	[	X
bracis-19058	250	27	16	16	NUM
bracis-19058	250	28	]	]	PUNCT
bracis-19058	250	29	.	.	PUNCT
bracis-19058	251	1	more	more	ADV
bracis-19058	251	2	recently	recently	ADV
bracis-19058	251	3	,	,	PUNCT
bracis-19058	251	4	some	some	DET
bracis-19058	251	5	works	work	NOUN
bracis-19058	251	6	proposed	propose	VERB
bracis-19058	251	7	the	the	DET
bracis-19058	251	8	use	use	NOUN
bracis-19058	251	9	of	of	ADP
bracis-19058	251	10	self	self	NOUN
bracis-19058	251	11	-	-	PUNCT
bracis-19058	251	12	attention	attention	NOUN
bracis-19058	251	13	based	base	VERB
bracis-19058	251	14	architectures	architecture	NOUN
bracis-19058	251	15	for	for	ADP
bracis-19058	251	16	this	this	DET
bracis-19058	251	17	task	task	NOUN
bracis-19058	251	18	[	[	X
bracis-19058	251	19	21	21	NUM
bracis-19058	251	20	,	,	PUNCT
bracis-19058	251	21	22	22	NUM
bracis-19058	251	22	]	]	PUNCT
bracis-19058	251	23	.	.	PUNCT
bracis-19058	252	1	the	the	DET
bracis-19058	252	2	model	model	NOUN
bracis-19058	252	3	proposed	propose	VERB
bracis-19058	252	4	by	by	ADP
bracis-19058	252	5	[	[	X
bracis-19058	252	6	16	16	NUM
bracis-19058	252	7	]	]	PUNCT
bracis-19058	252	8	outperformed	outperform	VERB
bracis-19058	252	9	the	the	DET
bracis-19058	252	10	one	one	NOUN
bracis-19058	252	11	proposed	propose	VERB
bracis-19058	252	12	by	by	ADP
bracis-19058	252	13	[	[	X
bracis-19058	252	14	21	21	NUM
bracis-19058	252	15	]	]	PUNCT
bracis-19058	252	16	in	in	ADP
bracis-19058	252	17	the	the	DET
bracis-19058	252	18	datasets	dataset	NOUN
bracis-19058	252	19	that	that	PRON
bracis-19058	252	20	were	be	AUX
bracis-19058	252	21	common	common	ADJ
bracis-19058	252	22	to	to	ADP
bracis-19058	252	23	both	both	DET
bracis-19058	252	24	works	work	NOUN
bracis-19058	252	25	.	.	PUNCT
bracis-19058	253	1	[	[	X
bracis-19058	253	2	22	22	NUM
bracis-19058	253	3	]	]	PUNCT
bracis-19058	253	4	proposed	propose	VERB
bracis-19058	253	5	a	a	DET
bracis-19058	253	6	deep	deep	ADJ
bracis-19058	253	7	attention	attention	NOUN
bracis-19058	253	8	model	model	NOUN
bracis-19058	253	9	that	that	PRON
bracis-19058	253	10	was	be	AUX
bracis-19058	253	11	able	able	ADJ
bracis-19058	253	12	to	to	PART
bracis-19058	253	13	surpass	surpass	VERB
bracis-19058	253	14	[	[	X
bracis-19058	253	15	16	16	NUM
bracis-19058	253	16	]	]	PUNCT
bracis-19058	253	17	in	in	ADP
bracis-19058	253	18	some	some	PRON
bracis-19058	253	19	,	,	PUNCT
bracis-19058	253	20	but	but	CCONJ
bracis-19058	253	21	not	not	PART
bracis-19058	253	22	all	all	DET
bracis-19058	253	23	datasets	dataset	NOUN
bracis-19058	253	24	.	.	PUNCT
bracis-19058	254	1	a	a	DET
bracis-19058	254	2	more	more	ADV
bracis-19058	254	3	extensive	extensive	ADJ
bracis-19058	254	4	survey	survey	NOUN
bracis-19058	254	5	was	be	AUX
bracis-19058	254	6	conducted	conduct	VERB
bracis-19058	254	7	by	by	ADP
bracis-19058	254	8	[	[	X
bracis-19058	254	9	23	23	NUM
bracis-19058	254	10	]	]	PUNCT
bracis-19058	254	11	,	,	PUNCT
bracis-19058	254	12	where	where	SCONJ
bracis-19058	254	13	the	the	DET
bracis-19058	254	14	authors	author	NOUN
bracis-19058	254	15	note	note	VERB
bracis-19058	254	16	the	the	DET
bracis-19058	254	17	variety	variety	NOUN
bracis-19058	254	18	of	of	ADP
bracis-19058	254	19	neural	neural	ADJ
bracis-19058	254	20	network	network	NOUN
bracis-19058	254	21	architectures	architecture	NOUN
bracis-19058	254	22	proposed	propose	VERB
bracis-19058	254	23	for	for	ADP
bracis-19058	254	24	this	this	DET
bracis-19058	254	25	task	task	NOUN
bracis-19058	254	26	,	,	PUNCT
bracis-19058	254	27	such	such	ADJ
bracis-19058	254	28	as	as	ADP
bracis-19058	254	29	cnns	cnn	NOUN
bracis-19058	254	30	,	,	PUNCT
bracis-19058	254	31	dnns	dnn	NOUN
bracis-19058	254	32	,	,	PUNCT
bracis-19058	254	33	rnns	rnn	NOUN
bracis-19058	254	34	,	,	PUNCT
bracis-19058	254	35	stacked	stack	VERB
bracis-19058	254	36	auto	auto	NOUN
bracis-19058	254	37	encoders	encoder	NOUN
bracis-19058	254	38	and	and	CCONJ
bracis-19058	254	39	hybrid	hybrid	ADJ
bracis-19058	254	40	approaches	approach	NOUN
bracis-19058	254	41	.	.	PUNCT
bracis-19058	255	1	a	a	DET
bracis-19058	255	2	few	few	ADJ
bracis-19058	255	3	studies	study	NOUN
bracis-19058	255	4	have	have	AUX
bracis-19058	255	5	proposed	propose	VERB
bracis-19058	255	6	methods	method	NOUN
bracis-19058	255	7	for	for	ADP
bracis-19058	255	8	initializing	initialize	VERB
bracis-19058	255	9	state	state	NOUN
bracis-19058	255	10	vectors	vector	NOUN
bracis-19058	255	11	of	of	ADP
bracis-19058	255	12	rnns	rnns	PROPN
bracis-19058	255	13	.	.	PUNCT
bracis-19058	256	1	to	to	PART
bracis-19058	256	2	regularize	regularize	VERB
bracis-19058	256	3	and	and	CCONJ
bracis-19058	256	4	improve	improve	VERB
bracis-19058	256	5	the	the	DET
bracis-19058	256	6	dynamics	dynamic	NOUN
bracis-19058	256	7	of	of	ADP
bracis-19058	256	8	an	an	DET
bracis-19058	256	9	rnn	rnn	NOUN
bracis-19058	256	10	,	,	PUNCT
bracis-19058	256	11	[	[	X
bracis-19058	256	12	24	24	NUM
bracis-19058	256	13	]	]	PUNCT
bracis-19058	256	14	proposed	propose	VERB
bracis-19058	256	15	initializing	initialize	VERB
bracis-19058	256	16	the	the	DET
bracis-19058	256	17	rnn	rnn	NOUN
bracis-19058	256	18	with	with	ADP
bracis-19058	256	19	a	a	DET
bracis-19058	256	20	vector	vector	NOUN
bracis-19058	256	21	proportional	proportional	NOUN
bracis-19058	256	22	to	to	ADP
bracis-19058	256	23	the	the	DET
bracis-19058	256	24	backpropagated	backpropagate	VERB
bracis-19058	256	25	errors	error	NOUN
bracis-19058	256	26	.	.	PUNCT
bracis-19058	257	1	[	[	X
bracis-19058	257	2	25	25	NUM
bracis-19058	257	3	]	]	PUNCT
bracis-19058	257	4	showed	show	VERB
bracis-19058	257	5	that	that	SCONJ
bracis-19058	257	6	using	use	VERB
bracis-19058	257	7	contextual	contextual	ADJ
bracis-19058	257	8	information	information	NOUN
bracis-19058	257	9	to	to	PART
bracis-19058	257	10	initialize	initialize	VERB
bracis-19058	257	11	the	the	DET
bracis-19058	257	12	rnn	rnn	NOUN
bracis-19058	257	13	hidden	hide	VERB
bracis-19058	257	14	state	state	NOUN
bracis-19058	257	15	improved	improve	VERB
bracis-19058	257	16	the	the	DET
bracis-19058	257	17	convergence	convergence	NOUN
bracis-19058	257	18	rate	rate	NOUN
bracis-19058	257	19	,	,	PUNCT
bracis-19058	257	20	but	but	CCONJ
bracis-19058	257	21	not	not	PART
bracis-19058	257	22	the	the	DET
bracis-19058	257	23	final	final	ADJ
bracis-19058	257	24	accuracy	accuracy	NOUN
bracis-19058	257	25	of	of	ADP
bracis-19058	257	26	the	the	DET
bracis-19058	257	27	networks	network	NOUN
bracis-19058	257	28	on	on	ADP
bracis-19058	257	29	some	some	DET
bracis-19058	257	30	constructed	construct	VERB
bracis-19058	257	31	problems	problem	NOUN
bracis-19058	257	32	.	.	PUNCT
bracis-19058	258	1	in	in	ADP
bracis-19058	258	2	modeling	model	VERB
bracis-19058	258	3	an	an	DET
bracis-19058	258	4	aerial	aerial	ADJ
bracis-19058	258	5	vehicle	vehicle	NOUN
bracis-19058	258	6	dynamics	dynamic	NOUN
bracis-19058	258	7	,	,	PUNCT
bracis-19058	258	8	[	[	X
bracis-19058	258	9	9	9	NUM
bracis-19058	258	10	]	]	PUNCT
bracis-19058	258	11	showed	show	VERB
bracis-19058	258	12	that	that	SCONJ
bracis-19058	258	13	passing	pass	VERB
bracis-19058	258	14	an	an	DET
bracis-19058	258	15	initial	initial	ADJ
bracis-19058	258	16	segment	segment	NOUN
bracis-19058	258	17	of	of	ADP
bracis-19058	258	18	the	the	DET
bracis-19058	258	19	data	datum	NOUN
bracis-19058	258	20	through	through	ADP
bracis-19058	258	21	a	a	DET
bracis-19058	258	22	custom	custom	NOUN
bracis-19058	258	23	network	network	NOUN
bracis-19058	258	24	to	to	PART
bracis-19058	258	25	set	set	VERB
bracis-19058	258	26	the	the	DET
bracis-19058	258	27	hidden	hide	VERB
bracis-19058	258	28	state	state	NOUN
bracis-19058	258	29	vectors	vector	NOUN
bracis-19058	258	30	reduces	reduce	VERB
bracis-19058	258	31	errors	error	NOUN
bracis-19058	258	32	,	,	PUNCT
bracis-19058	258	33	especially	especially	ADV
bracis-19058	258	34	in	in	ADP
bracis-19058	258	35	the	the	DET
bracis-19058	258	36	first	first	ADJ
bracis-19058	258	37	iterations	iteration	NOUN
bracis-19058	258	38	of	of	ADP
bracis-19058	258	39	predictions	prediction	NOUN
bracis-19058	258	40	.	.	PUNCT
bracis-19058	259	1	our	our	PRON
bracis-19058	259	2	work	work	NOUN
bracis-19058	259	3	differs	differ	VERB
bracis-19058	259	4	from	from	ADP
bracis-19058	259	5	theirs	theirs	PRON
bracis-19058	259	6	in	in	ADP
bracis-19058	259	7	several	several	ADJ
bracis-19058	259	8	ways	way	NOUN
bracis-19058	259	9	.	.	PUNCT
bracis-19058	260	1	most	most	ADV
bracis-19058	260	2	markedly	markedly	ADV
bracis-19058	260	3	,	,	PUNCT
bracis-19058	260	4	(	(	PUNCT
bracis-19058	260	5	i	i	NOUN
bracis-19058	260	6	)	)	PUNCT
bracis-19058	260	7	it	it	PRON
bracis-19058	260	8	uses	use	VERB
bracis-19058	260	9	a	a	DET
bracis-19058	260	10	discriminator	discriminator	NOUN
bracis-19058	260	11	to	to	PART
bracis-19058	260	12	improve	improve	VERB
bracis-19058	260	13	the	the	DET
bracis-19058	260	14	ability	ability	NOUN
bracis-19058	260	15	of	of	ADP
bracis-19058	260	16	the	the	DET
bracis-19058	260	17	network	network	NOUN
bracis-19058	260	18	to	to	PART
bracis-19058	260	19	capture	capture	VERB
bracis-19058	260	20	the	the	DET
bracis-19058	260	21	subjects	subject	NOUN
bracis-19058	260	22	’	'	PUNCT
bracis-19058	260	23	inherent	inherent	ADJ
bracis-19058	260	24	characteristics	characteristic	NOUN
bracis-19058	260	25	based	base	VERB
bracis-19058	260	26	on	on	ADP
bracis-19058	260	27	previous	previous	ADJ
bracis-19058	260	28	activities	activity	NOUN
bracis-19058	260	29	and	and	CCONJ
bracis-19058	260	30	(	(	PUNCT
bracis-19058	260	31	ii	ii	NOUN
bracis-19058	260	32	)	)	PUNCT
bracis-19058	260	33	it	it	PRON
bracis-19058	260	34	is	be	AUX
bracis-19058	260	35	able	able	ADJ
bracis-19058	260	36	to	to	PART
bracis-19058	260	37	improve	improve	VERB
bracis-19058	260	38	predictions	prediction	NOUN
bracis-19058	260	39	over	over	ADP
bracis-19058	260	40	windows	window	NOUN
bracis-19058	260	41	of	of	ADP
bracis-19058	260	42	up	up	ADV
bracis-19058	260	43	 	 	SPACE
bracis-19058	260	44	to	to	ADP
bracis-19058	260	45	2	2	NUM
bracis-19058	260	46	 	 	SPACE
bracis-19058	260	47	h.	h.	NOUN
bracis-19058	260	48	this	this	PRON
bracis-19058	260	49	corroborates	corroborate	VERB
bracis-19058	260	50	the	the	DET
bracis-19058	260	51	idea	idea	NOUN
bracis-19058	260	52	that	that	SCONJ
bracis-19058	260	53	pce	pce	PROPN
bracis-19058	260	54	-	-	NOUN
bracis-19058	260	55	lstm	lstm	PROPN
bracis-19058	260	56	is	be	AUX
bracis-19058	260	57	encoding	encode	VERB
bracis-19058	260	58	physical	physical	ADJ
bracis-19058	260	59	conditioning	conditioning	NOUN
bracis-19058	260	60	,	,	PUNCT
bracis-19058	260	61	rather	rather	ADV
bracis-19058	260	62	than	than	ADP
bracis-19058	260	63	information	information	NOUN
bracis-19058	260	64	about	about	ADP
bracis-19058	260	65	specific	specific	ADJ
bracis-19058	260	66	physical	physical	ADJ
bracis-19058	260	67	activities	activity	NOUN
bracis-19058	260	68	.	.	PUNCT
bracis-19058	261	1	7	7	NUM
bracis-19058	261	2	conclusions	conclusion	NOUN
bracis-19058	261	3	we	we	PRON
bracis-19058	261	4	investigated	investigate	VERB
bracis-19058	261	5	the	the	DET
bracis-19058	261	6	much	much	ADJ
bracis-19058	261	7	neglected	neglect	VERB
bracis-19058	261	8	task	task	NOUN
bracis-19058	261	9	of	of	ADP
bracis-19058	261	10	predicting	predict	VERB
bracis-19058	261	11	hr	hr	NOUN
bracis-19058	261	12	from	from	ADP
bracis-19058	261	13	imu	imu	NOUN
bracis-19058	261	14	sensor	sensor	NOUN
bracis-19058	261	15	data	datum	NOUN
bracis-19058	261	16	.	.	PUNCT
bracis-19058	262	1	we	we	PRON
bracis-19058	262	2	started	start	VERB
bracis-19058	262	3	from	from	ADP
bracis-19058	262	4	the	the	DET
bracis-19058	262	5	premise	premise	NOUN
bracis-19058	262	6	that	that	SCONJ
bracis-19058	262	7	,	,	PUNCT
bracis-19058	262	8	depending	depend	VERB
bracis-19058	262	9	on	on	ADP
bracis-19058	262	10	their	their	PRON
bracis-19058	262	11	physical	physical	ADJ
bracis-19058	262	12	conditioning	conditioning	NOUN
bracis-19058	262	13	,	,	PUNCT
bracis-19058	262	14	different	different	ADJ
bracis-19058	262	15	people	people	NOUN
bracis-19058	262	16	will	will	AUX
bracis-19058	262	17	display	display	VERB
bracis-19058	262	18	different	different	ADJ
bracis-19058	262	19	hr	hr	NOUN
bracis-19058	262	20	levels	level	NOUN
bracis-19058	262	21	when	when	SCONJ
bracis-19058	262	22	performing	perform	VERB
bracis-19058	262	23	the	the	DET
bracis-19058	262	24	same	same	ADJ
bracis-19058	262	25	exercises	exercise	NOUN
bracis-19058	262	26	.	.	PUNCT
bracis-19058	263	1	we	we	PRON
bracis-19058	263	2	proposed	propose	VERB
bracis-19058	263	3	a	a	DET
bracis-19058	263	4	neural	neural	ADJ
bracis-19058	263	5	architecture	architecture	NOUN
bracis-19058	263	6	dubbed	dub	VERB
bracis-19058	263	7	physical	physical	ADJ
bracis-19058	263	8	conditioning	conditioning	NOUN
bracis-19058	263	9	embedding	embed	VERB
bracis-19058	263	10	lstm	lstm	NOUN
bracis-19058	263	11	(	(	PUNCT
bracis-19058	263	12	pce	pce	NOUN
bracis-19058	263	13	-	-	NOUN
bracis-19058	263	14	lstm	lstm	NOUN
bracis-19058	263	15	)	)	PUNCT
bracis-19058	263	16	that	that	PRON
bracis-19058	263	17	employs	employ	VERB
bracis-19058	263	18	a	a	DET
bracis-19058	263	19	convolutional	convolutional	ADJ
bracis-19058	263	20	network	network	NOUN
bracis-19058	263	21	to	to	PART
bracis-19058	263	22	extract	extract	VERB
bracis-19058	263	23	vectors	vector	NOUN
bracis-19058	263	24	which	which	PRON
bracis-19058	263	25	carry	carry	VERB
bracis-19058	263	26	information	information	NOUN
bracis-19058	263	27	about	about	ADP
bracis-19058	263	28	the	the	DET
bracis-19058	263	29	relationship	relationship	NOUN
bracis-19058	263	30	between	between	ADP
bracis-19058	263	31	sensor	sensor	NOUN
bracis-19058	263	32	measurements	measurement	NOUN
bracis-19058	263	33	and	and	CCONJ
bracis-19058	263	34	the	the	DET
bracis-19058	263	35	hr	hr	NOUN
bracis-19058	263	36	for	for	ADP
bracis-19058	263	37	a	a	DET
bracis-19058	263	38	specific	specific	ADJ
bracis-19058	263	39	individual	individual	NOUN
bracis-19058	263	40	,	,	PUNCT
bracis-19058	263	41	thus	thus	ADV
bracis-19058	263	42	representing	represent	VERB
bracis-19058	263	43	his	his	PRON
bracis-19058	263	44	/	/	SYM
bracis-19058	263	45	her	her	PRON
bracis-19058	263	46	physical	physical	ADJ
bracis-19058	263	47	conditioning	conditioning	NOUN
bracis-19058	263	48	.	.	PUNCT
bracis-19058	264	1	these	these	DET
bracis-19058	264	2	vectors	vector	NOUN
bracis-19058	264	3	are	be	AUX
bracis-19058	264	4	used	use	VERB
bracis-19058	264	5	as	as	ADP
bracis-19058	264	6	the	the	DET
bracis-19058	264	7	initial	initial	ADJ
bracis-19058	264	8	state	state	NOUN
bracis-19058	264	9	vectors	vector	NOUN
bracis-19058	264	10	for	for	ADP
bracis-19058	264	11	a	a	DET
bracis-19058	264	12	lstm	lstm	ADJ
bracis-19058	264	13	network	network	NOUN
bracis-19058	264	14	that	that	PRON
bracis-19058	264	15	outputs	output	VERB
bracis-19058	264	16	hr	hr	NOUN
bracis-19058	264	17	predictions	prediction	NOUN
bracis-19058	264	18	from	from	ADP
bracis-19058	264	19	sensor	sensor	NOUN
bracis-19058	264	20	data	datum	NOUN
bracis-19058	264	21	.	.	PUNCT
bracis-19058	265	1	we	we	PRON
bracis-19058	265	2	evaluate	evaluate	VERB
bracis-19058	265	3	the	the	DET
bracis-19058	265	4	prediction	prediction	NOUN
bracis-19058	265	5	accuracy	accuracy	NOUN
bracis-19058	265	6	of	of	ADP
bracis-19058	265	7	pce	pce	PROPN
bracis-19058	265	8	-	-	PUNCT
bracis-19058	265	9	lstm	lstm	ADJ
bracis-19058	265	10	w.r.t	w.r.t	NOUN
bracis-19058	265	11	.	.	PUNCT
bracis-19058	266	1	mae	mae	PROPN
bracis-19058	266	2	and	and	CCONJ
bracis-19058	266	3	rmse	rmse	PROPN
bracis-19058	266	4	using	use	VERB
bracis-19058	266	5	public	public	ADJ
bracis-19058	266	6	datasets	dataset	NOUN
bracis-19058	266	7	(	(	PUNCT
bracis-19058	266	8	pamap2	pamap2	NOUN
bracis-19058	266	9	,	,	PUNCT
bracis-19058	266	10	ppg	ppg	PROPN
bracis-19058	266	11	-	-	PUNCT
bracis-19058	266	12	dalia	dalia	PROPN
bracis-19058	266	13	,	,	PUNCT
bracis-19058	266	14	wesad	wesad	NOUN
bracis-19058	266	15	)	)	PUNCT
bracis-19058	266	16	.	.	PUNCT
bracis-19058	267	1	moreover	moreover	ADV
bracis-19058	267	2	,	,	PUNCT
bracis-19058	267	3	we	we	PRON
bracis-19058	267	4	compare	compare	VERB
bracis-19058	267	5	pce	pce	NOUN
bracis-19058	267	6	-	-	NOUN
bracis-19058	267	7	lstm	lstm	NOUN
bracis-19058	267	8	with	with	ADP
bracis-19058	267	9	2	2	NUM
bracis-19058	267	10	baselines	baseline	NOUN
bracis-19058	267	11	:	:	PUNCT
bracis-19058	267	12	one	one	NUM
bracis-19058	267	13	model	model	NOUN
bracis-19058	267	14	proposed	propose	VERB
bracis-19058	267	15	for	for	ADP
bracis-19058	267	16	this	this	DET
bracis-19058	267	17	task	task	NOUN
bracis-19058	267	18	(	(	PUNCT
bracis-19058	267	19	ffnn	ffnn	NOUN
bracis-19058	267	20	)	)	PUNCT
bracis-19058	267	21	and	and	CCONJ
bracis-19058	267	22	one	one	NUM
bracis-19058	267	23	minimally	minimally	ADV
bracis-19058	267	24	-	-	PUNCT
bracis-19058	267	25	adapted	adapt	VERB
bracis-19058	267	26	state	state	NOUN
bracis-19058	267	27	-	-	PUNCT
bracis-19058	267	28	of	of	ADP
bracis-19058	267	29	-	-	PUNCT
bracis-19058	267	30	the	the	DET
bracis-19058	267	31	-	-	PUNCT
bracis-19058	267	32	art	art	NOUN
bracis-19058	267	33	model	model	NOUN
bracis-19058	267	34	(	(	PUNCT
bracis-19058	267	35	deepconvlstm	deepconvlstm	PROPN
bracis-19058	267	36	)	)	PUNCT
bracis-19058	267	37	originally	originally	ADV
bracis-19058	267	38	proposed	propose	VERB
bracis-19058	267	39	for	for	ADP
bracis-19058	267	40	the	the	DET
bracis-19058	267	41	closely	closely	ADV
bracis-19058	267	42	related	relate	VERB
bracis-19058	267	43	task	task	NOUN
bracis-19058	267	44	known	know	VERB
bracis-19058	267	45	as	as	ADP
bracis-19058	267	46	human	human	ADJ
bracis-19058	267	47	activity	activity	NOUN
bracis-19058	267	48	recognition	recognition	NOUN
bracis-19058	267	49	.	.	PUNCT
bracis-19058	268	1	pce	pce	PROPN
bracis-19058	268	2	-	-	PROPN
bracis-19058	268	3	lstm	lstm	ADJ
bracis-19058	268	4	yields	yield	NOUN
bracis-19058	268	5	over	over	ADP
bracis-19058	268	6	10	10	NUM
bracis-19058	268	7	%	%	NOUN
bracis-19058	268	8	(	(	PUNCT
bracis-19058	268	9	resp	resp	NOUN
bracis-19058	268	10	.	.	PUNCT
bracis-19058	269	1	30	30	NUM
bracis-19058	269	2	%	%	NOUN
bracis-19058	269	3	)	)	PUNCT
bracis-19058	269	4	lower	low	ADJ
bracis-19058	269	5	mae	mae	PROPN
bracis-19058	269	6	in	in	ADP
bracis-19058	269	7	the	the	DET
bracis-19058	269	8	imu	imu	NOUN
bracis-19058	269	9	-	-	PUNCT
bracis-19058	269	10	based	base	VERB
bracis-19058	269	11	(	(	PUNCT
bracis-19058	269	12	resp	resp	NOUN
bracis-19058	269	13	.	.	PUNCT
bracis-19058	270	1	ppg	ppg	PROPN
bracis-19058	270	2	-	-	PUNCT
bracis-19058	270	3	based	base	VERB
bracis-19058	270	4	)	)	PUNCT
bracis-19058	270	5	hr	hr	NOUN
bracis-19058	270	6	estimation	estimation	NOUN
bracis-19058	270	7	task	task	NOUN
bracis-19058	270	8	.	.	PUNCT
bracis-19058	271	1	last	last	ADJ
bracis-19058	271	2	,	,	PUNCT
bracis-19058	271	3	we	we	PRON
bracis-19058	271	4	conduct	conduct	VERB
bracis-19058	271	5	additional	additional	ADJ
bracis-19058	271	6	experiments	experiment	NOUN
bracis-19058	271	7	to	to	PART
bracis-19058	271	8	show	show	VERB
bracis-19058	271	9	that	that	SCONJ
bracis-19058	271	10	the	the	DET
bracis-19058	271	11	performance	performance	NOUN
bracis-19058	271	12	gains	gain	NOUN
bracis-19058	271	13	achieved	achieve	VERB
bracis-19058	271	14	by	by	ADP
bracis-19058	271	15	our	our	PRON
bracis-19058	271	16	method	method	NOUN
bracis-19058	271	17	are	be	AUX
bracis-19058	271	18	,	,	PUNCT
bracis-19058	271	19	in	in	ADP
bracis-19058	271	20	part	part	NOUN
bracis-19058	271	21	,	,	PUNCT
bracis-19058	271	22	due	due	ADP
bracis-19058	271	23	to	to	ADP
bracis-19058	271	24	the	the	DET
bracis-19058	271	25	strategy	strategy	NOUN
bracis-19058	271	26	used	use	VERB
bracis-19058	271	27	to	to	PART
bracis-19058	271	28	initialize	initialize	VERB
bracis-19058	271	29	the	the	DET
bracis-19058	271	30	hidden	hide	VERB
bracis-19058	271	31	vectors	vector	NOUN
bracis-19058	271	32	.	.	PUNCT
bracis-19058	272	1	specifically	specifically	ADV
bracis-19058	272	2	,	,	PUNCT
bracis-19058	272	3	using	use	VERB
bracis-19058	272	4	the	the	DET
bracis-19058	272	5	outputs	output	NOUN
bracis-19058	272	6	of	of	ADP
bracis-19058	272	7	the	the	DET
bracis-19058	272	8	pce	pce	PROPN
bracis-19058	272	9	network	network	NOUN
bracis-19058	272	10	applied	apply	VERB
bracis-19058	272	11	to	to	ADP
bracis-19058	272	12	the	the	DET
bracis-19058	272	13	data	datum	NOUN
bracis-19058	272	14	from	from	ADP
bracis-19058	272	15	the	the	DET
bracis-19058	272	16	previous	previous	ADJ
bracis-19058	272	17	12	12	NUM
bracis-19058	272	18	time	time	NOUN
bracis-19058	272	19	snippets	snippet	NOUN
bracis-19058	272	20	of	of	ADP
bracis-19058	272	21	the	the	DET
bracis-19058	272	22	subject	subject	NOUN
bracis-19058	272	23	’s	’s	PART
bracis-19058	272	24	time	time	NOUN
bracis-19058	272	25	series	series	PROPN
bracis-19058	272	26	is	be	AUX
bracis-19058	272	27	helpful	helpful	ADJ
bracis-19058	272	28	and	and	CCONJ
bracis-19058	272	29	works	work	VERB
bracis-19058	272	30	better	well	ADV
bracis-19058	272	31	than	than	ADP
bracis-19058	272	32	using	use	VERB
bracis-19058	272	33	the	the	DET
bracis-19058	272	34	lstm	lstm	NOUN
bracis-19058	272	35	itself	itself	PRON
bracis-19058	272	36	to	to	PART
bracis-19058	272	37	output	output	VERB
bracis-19058	272	38	hidden	hide	VERB
bracis-19058	272	39	vectors	vector	NOUN
bracis-19058	272	40	from	from	ADP
bracis-19058	272	41	the	the	DET
bracis-19058	272	42	same	same	ADJ
bracis-19058	272	43	data	datum	NOUN
bracis-19058	272	44	,	,	PUNCT
bracis-19058	272	45	especially	especially	ADV
bracis-19058	272	46	when	when	SCONJ
bracis-19058	272	47	using	use	VERB
bracis-19058	272	48	the	the	DET
bracis-19058	272	49	pce	pce	PROPN
bracis-19058	272	50	discriminator	discriminator	NOUN
bracis-19058	272	51	during	during	ADP
bracis-19058	272	52	training	training	NOUN
bracis-19058	272	53	.	.	PUNCT
bracis-19058	273	1	we	we	PRON
bracis-19058	273	2	have	have	AUX
bracis-19058	273	3	highlighted	highlight	VERB
bracis-19058	273	4	the	the	DET
bracis-19058	273	5	potential	potential	NOUN
bracis-19058	273	6	of	of	ADP
bracis-19058	273	7	neural	neural	ADJ
bracis-19058	273	8	network	network	NOUN
bracis-19058	273	9	approaches	approach	NOUN
bracis-19058	273	10	to	to	PART
bracis-19058	273	11	tackle	tackle	VERB
bracis-19058	273	12	this	this	DET
bracis-19058	273	13	problem	problem	NOUN
bracis-19058	273	14	.	.	PUNCT
bracis-19058	274	1	some	some	DET
bracis-19058	274	2	questions	question	NOUN
bracis-19058	274	3	are	be	AUX
bracis-19058	274	4	left	leave	VERB
bracis-19058	274	5	open	open	ADJ
bracis-19058	274	6	for	for	ADP
bracis-19058	274	7	future	future	ADJ
bracis-19058	274	8	work	work	NOUN
bracis-19058	274	9	,	,	PUNCT
bracis-19058	274	10	such	such	ADJ
bracis-19058	274	11	as	as	ADP
bracis-19058	274	12	whether	whether	SCONJ
bracis-19058	274	13	these	these	DET
bracis-19058	274	14	results	result	NOUN
bracis-19058	274	15	are	be	AUX
bracis-19058	274	16	accurate	accurate	ADJ
bracis-19058	274	17	enough	enough	ADV
bracis-19058	274	18	to	to	PART
bracis-19058	274	19	be	be	AUX
bracis-19058	274	20	successfully	successfully	ADV
bracis-19058	274	21	used	use	VERB
bracis-19058	274	22	in	in	ADP
bracis-19058	274	23	real	real	ADJ
bracis-19058	274	24	-	-	PUNCT
bracis-19058	274	25	world	world	NOUN
bracis-19058	274	26	applications	application	NOUN
bracis-19058	274	27	or	or	CCONJ
bracis-19058	274	28	whether	whether	SCONJ
bracis-19058	274	29	the	the	DET
bracis-19058	274	30	metrics	metric	NOUN
bracis-19058	274	31	used	use	VERB
bracis-19058	274	32	best	well	ADV
bracis-19058	274	33	represent	represent	VERB
bracis-19058	274	34	the	the	DET
bracis-19058	274	35	suitability	suitability	NOUN
bracis-19058	274	36	of	of	ADP
bracis-19058	274	37	a	a	DET
bracis-19058	274	38	model	model	NOUN
bracis-19058	274	39	.	.	PUNCT
bracis-19058	275	1	we	we	PRON
bracis-19058	275	2	hope	hope	VERB
bracis-19058	275	3	that	that	SCONJ
bracis-19058	275	4	this	this	DET
bracis-19058	275	5	work	work	NOUN
bracis-19058	275	6	can	can	AUX
bracis-19058	275	7	foster	foster	VERB
bracis-19058	275	8	the	the	DET
bracis-19058	275	9	development	development	NOUN
bracis-19058	275	10	of	of	ADP
bracis-19058	275	11	new	new	ADJ
bracis-19058	275	12	methods	method	NOUN
bracis-19058	275	13	and	and	CCONJ
bracis-19058	275	14	metrics	metric	NOUN
bracis-19058	275	15	for	for	ADP
bracis-19058	275	16	this	this	DET
bracis-19058	275	17	task	task	NOUN
bracis-19058	275	18	,	,	PUNCT
bracis-19058	275	19	bringing	bring	VERB
bracis-19058	275	20	about	about	ADP
bracis-19058	275	21	a	a	DET
bracis-19058	275	22	practical	practical	ADJ
bracis-19058	275	23	use	use	NOUN
bracis-19058	275	24	for	for	ADP
bracis-19058	275	25	the	the	DET
bracis-19058	275	26	method	method	NOUN
bracis-19058	275	27	in	in	ADP
bracis-19058	275	28	medical	medical	ADJ
bracis-19058	275	29	or	or	CCONJ
bracis-19058	275	30	fitness	fitness	NOUN
bracis-19058	275	31	applications	application	NOUN
bracis-19058	275	32	.	.	PUNCT
bracis-19058	276	1	notes	note	VERB
bracis-19058	276	2	1.we	1.we	NUM
bracis-19058	276	3	released	release	VERB
bracis-19058	276	4	all	all	DET
bracis-19058	276	5	our	our	PRON
bracis-19058	276	6	code	code	NOUN
bracis-19058	276	7	at	at	ADP
bracis-19058	276	8	https://github.com/davipeag/heartrateregression	https://github.com/davipeag/heartrateregression	NOUN
bracis-19058	276	9	.	.	PUNCT
bracis-19058	277	1	2.we	2.we	NUM
bracis-19058	277	2	avoid	avoid	VERB
bracis-19058	277	3	overfitting	overfitte	VERB
bracis-19058	277	4	by	by	ADP
bracis-19058	277	5	using	use	VERB
bracis-19058	277	6	disjoint	disjoint	NOUN
bracis-19058	277	7	sets	set	NOUN
bracis-19058	277	8	of	of	ADP
bracis-19058	277	9	subjects	subject	NOUN
bracis-19058	277	10	for	for	ADP
bracis-19058	277	11	training	training	NOUN
bracis-19058	277	12	and	and	CCONJ
bracis-19058	277	13	validation	validation	NOUN
bracis-19058	277	14	.	.	PUNCT
bracis-19058	278	1	3.alternatively	3.alternatively	NUM
bracis-19058	278	2	,	,	PUNCT
bracis-19058	278	3	losses	loss	NOUN
bracis-19058	278	4	’	'	PUNCT
bracis-19058	278	5	weights	weight	NOUN
bracis-19058	278	6	can	can	AUX
bracis-19058	278	7	be	be	AUX
bracis-19058	278	8	set	set	VERB
bracis-19058	278	9	by	by	ADP
bracis-19058	278	10	hyperparameter	hyperparameter	NOUN
bracis-19058	278	11	tuning	tuning	NOUN
bracis-19058	278	12	,	,	PUNCT
bracis-19058	278	13	but	but	CCONJ
bracis-19058	278	14	since	since	SCONJ
bracis-19058	278	15	we	we	PRON
bracis-19058	278	16	use	use	VERB
bracis-19058	278	17	a	a	DET
bracis-19058	278	18	single	single	ADJ
bracis-19058	278	19	subject	subject	NOUN
bracis-19058	278	20	for	for	ADP
bracis-19058	278	21	validation	validation	NOUN
bracis-19058	278	22	,	,	PUNCT
bracis-19058	278	23	we	we	PRON
bracis-19058	278	24	fixed	fix	VERB
bracis-19058	278	25	the	the	DET
bracis-19058	278	26	weights	weight	NOUN
bracis-19058	278	27	to	to	PART
bracis-19058	278	28	(	(	PUNCT
bracis-19058	278	29	0.9	0.9	NUM
bracis-19058	278	30	,	,	PUNCT
bracis-19058	278	31	 	 	SPACE
bracis-19058	278	32	0.1	0.1	NUM
bracis-19058	278	33	)	)	PUNCT
bracis-19058	278	34	to	to	PART
bracis-19058	278	35	avoid	avoid	VERB
bracis-19058	278	36	overfitting	overfitte	VERB
bracis-19058	278	37	to	to	ADP
bracis-19058	278	38	the	the	DET
bracis-19058	278	39	validation	validation	NOUN
bracis-19058	278	40	subject	subject	NOUN
bracis-19058	278	41	.	.	PUNCT
bracis-19058	279	1	references	reference	NOUN
bracis-19058	279	2	reiss	reiss	PROPN
bracis-19058	279	3	,	,	PUNCT
bracis-19058	279	4	a.	a.	NOUN
bracis-19058	279	5	,	,	PUNCT
bracis-19058	279	6	indlekofer	indlekofer	NOUN
bracis-19058	279	7	,	,	PUNCT
bracis-19058	279	8	i.	i.	NOUN
bracis-19058	279	9	,	,	PUNCT
bracis-19058	279	10	schmidt	schmidt	PROPN
bracis-19058	279	11	,	,	PUNCT
bracis-19058	279	12	p.	p.	PROPN
bracis-19058	279	13	,	,	PUNCT
bracis-19058	279	14	van	van	PROPN
bracis-19058	279	15	laerhoven	laerhoven	PROPN
bracis-19058	279	16	,	,	PUNCT
bracis-19058	279	17	k.	k.	PROPN
bracis-19058	279	18	:	:	PUNCT
bracis-19058	280	1	deep	deep	ADJ
bracis-19058	280	2	ppg	ppg	NOUN
bracis-19058	280	3	:	:	PUNCT
bracis-19058	280	4	large	large	ADJ
bracis-19058	280	5	-	-	PUNCT
bracis-19058	280	6	scale	scale	NOUN
bracis-19058	280	7	heart	heart	NOUN
bracis-19058	280	8	rate	rate	NOUN
bracis-19058	280	9	estimation	estimation	NOUN
bracis-19058	280	10	with	with	ADP
bracis-19058	280	11	convolutional	convolutional	ADJ
bracis-19058	280	12	neural	neural	ADJ
bracis-19058	280	13	networks	network	NOUN
bracis-19058	280	14	.	.	PUNCT
bracis-19058	281	1	sensors	sensor	NOUN
bracis-19058	281	2	19(14	19(14	NOUN
bracis-19058	281	3	)	)	PUNCT
bracis-19058	281	4	,	,	PUNCT
bracis-19058	281	5	3079	3079	NUM
bracis-19058	281	6	(	(	PUNCT
bracis-19058	281	7	2019	2019	NUM
bracis-19058	281	8	)	)	PUNCT
bracis-19058	281	9	article	article	NOUN
bracis-19058	281	10	  	  	SPACE
bracis-19058	281	11	google	google	PROPN
bracis-19058	281	12	scholar	scholar	NOUN
bracis-19058	281	13	  	  	SPACE
bracis-19058	281	14	ludwig	ludwig	PROPN
bracis-19058	281	15	,	,	PUNCT
bracis-19058	281	16	m.	m.	NOUN
bracis-19058	281	17	,	,	PUNCT
bracis-19058	281	18	hoffmann	hoffmann	PROPN
bracis-19058	281	19	,	,	PUNCT
bracis-19058	281	20	k.	k.	PROPN
bracis-19058	281	21	,	,	PUNCT
bracis-19058	281	22	endler	endler	PROPN
bracis-19058	281	23	,	,	PUNCT
bracis-19058	281	24	s.	s.	PROPN
bracis-19058	281	25	,	,	PUNCT
bracis-19058	281	26	asteroth	asteroth	PROPN
bracis-19058	281	27	,	,	PUNCT
bracis-19058	281	28	a.	a.	NOUN
bracis-19058	281	29	,	,	PUNCT
bracis-19058	281	30	wiemeyer	wiemeyer	PROPN
bracis-19058	281	31	,	,	PUNCT
bracis-19058	281	32	j.	j.	PROPN
bracis-19058	281	33	:	:	PUNCT
bracis-19058	281	34	measurement	measurement	NOUN
bracis-19058	281	35	,	,	PUNCT
bracis-19058	281	36	prediction	prediction	NOUN
bracis-19058	281	37	,	,	PUNCT
bracis-19058	281	38	and	and	CCONJ
bracis-19058	281	39	control	control	NOUN
bracis-19058	281	40	of	of	ADP
bracis-19058	281	41	individual	individual	ADJ
bracis-19058	281	42	heart	heart	NOUN
bracis-19058	281	43	rate	rate	NOUN
bracis-19058	281	44	responses	response	NOUN
bracis-19058	281	45	to	to	ADP
bracis-19058	281	46	exercise	exercise	NOUN
bracis-19058	281	47	-	-	PUNCT
bracis-19058	281	48	basics	basic	NOUN
bracis-19058	281	49	and	and	CCONJ
bracis-19058	281	50	options	option	NOUN
bracis-19058	281	51	for	for	ADP
bracis-19058	281	52	wearable	wearable	ADJ
bracis-19058	281	53	devices	device	NOUN
bracis-19058	281	54	.	.	PUNCT
bracis-19058	282	1	front	front	NOUN
bracis-19058	282	2	.	.	PUNCT
bracis-19058	283	1	physiol	physiol	PROPN
bracis-19058	283	2	.	.	PUNCT
bracis-19058	284	1	9	9	NUM
bracis-19058	284	2	,	,	PUNCT
bracis-19058	284	3	778	778	NUM
bracis-19058	284	4	(	(	PUNCT
bracis-19058	284	5	2018	2018	NUM
bracis-19058	284	6	)	)	PUNCT
bracis-19058	284	7	article	article	NOUN
bracis-19058	284	8	  	  	SPACE
bracis-19058	284	9	google	google	PROPN
bracis-19058	284	10	scholar	scholar	NOUN
bracis-19058	284	11	  	  	SPACE
bracis-19058	284	12	cheng	cheng	PROPN
bracis-19058	284	13	,	,	PUNCT
bracis-19058	284	14	t.m	t.m	PROPN
bracis-19058	284	15	.	.	PROPN
bracis-19058	284	16	,	,	PUNCT
bracis-19058	284	17	savkin	savkin	PROPN
bracis-19058	284	18	,	,	PUNCT
bracis-19058	284	19	a.v	a.v	PROPN
bracis-19058	284	20	.	.	PROPN
bracis-19058	284	21	,	,	PUNCT
bracis-19058	284	22	celler	celler	PROPN
bracis-19058	284	23	,	,	PUNCT
bracis-19058	284	24	b.g	b.g	PROPN
bracis-19058	284	25	.	.	PROPN
bracis-19058	284	26	,	,	PUNCT
bracis-19058	284	27	wang	wang	PROPN
bracis-19058	284	28	,	,	PUNCT
bracis-19058	284	29	l.	l.	PROPN
bracis-19058	284	30	,	,	PUNCT
bracis-19058	284	31	su	su	PROPN
bracis-19058	284	32	,	,	PUNCT
bracis-19058	284	33	s.w	s.w	PROPN
bracis-19058	284	34	.	.	PROPN
bracis-19058	284	35	:	:	PUNCT
bracis-19058	284	36	a	a	DET
bracis-19058	284	37	nonlinear	nonlinear	ADJ
bracis-19058	284	38	dynamic	dynamic	ADJ
bracis-19058	284	39	model	model	NOUN
bracis-19058	284	40	for	for	ADP
bracis-19058	284	41	heart	heart	NOUN
bracis-19058	284	42	rate	rate	NOUN
bracis-19058	284	43	response	response	NOUN
bracis-19058	284	44	to	to	ADP
bracis-19058	284	45	treadmill	treadmill	NOUN
bracis-19058	284	46	walking	walk	VERB
bracis-19058	284	47	exercise	exercise	NOUN
bracis-19058	284	48	.	.	PUNCT
bracis-19058	285	1	in	in	ADP
bracis-19058	285	2	:	:	PUNCT
bracis-19058	285	3	ieee	ieee	NOUN
bracis-19058	285	4	iembs	iemb	NOUN
bracis-19058	285	5	,	,	PUNCT
bracis-19058	285	6	pp	pp	ADV
bracis-19058	285	7	.	.	PUNCT
bracis-19058	286	1	2988–2991	2988–2991	NUM
bracis-19058	286	2	(	(	PUNCT
bracis-19058	286	3	2007	2007	NUM
bracis-19058	286	4	)	)	PUNCT
bracis-19058	286	5	google	google	PROPN
bracis-19058	286	6	scholar	scholar	NOUN
bracis-19058	286	7	  	  	SPACE
bracis-19058	286	8	hunt	hunt	NOUN
bracis-19058	286	9	,	,	PUNCT
bracis-19058	286	10	k.j	k.j	PROPN
bracis-19058	286	11	.	.	PROPN
bracis-19058	286	12	,	,	PUNCT
bracis-19058	286	13	fankhauser	fankhauser	PROPN
bracis-19058	286	14	,	,	PUNCT
bracis-19058	286	15	s.e	s.e	PROPN
bracis-19058	286	16	.	.	PROPN
bracis-19058	286	17	:	:	PUNCT
bracis-19058	286	18	heart	heart	NOUN
bracis-19058	286	19	rate	rate	NOUN
bracis-19058	286	20	control	control	NOUN
bracis-19058	286	21	during	during	ADP
bracis-19058	286	22	treadmill	treadmill	ADJ
bracis-19058	286	23	exercise	exercise	NOUN
bracis-19058	286	24	using	use	VERB
bracis-19058	286	25	input	input	NOUN
bracis-19058	286	26	-	-	PUNCT
bracis-19058	286	27	sensitivity	sensitivity	NOUN
bracis-19058	286	28	shaping	shaping	NOUN
bracis-19058	286	29	for	for	ADP
bracis-19058	286	30	disturbance	disturbance	NOUN
bracis-19058	286	31	rejection	rejection	NOUN
bracis-19058	286	32	of	of	ADP
bracis-19058	286	33	very	very	ADV
bracis-19058	286	34	-	-	PUNCT
bracis-19058	286	35	low	low	ADJ
bracis-19058	286	36	-	-	PUNCT
bracis-19058	286	37	frequency	frequency	NOUN
bracis-19058	286	38	heart	heart	NOUN
bracis-19058	286	39	rate	rate	NOUN
bracis-19058	286	40	variability	variability	NOUN
bracis-19058	286	41	.	.	PUNCT
bracis-19058	287	1	biomed	biome	VERB
bracis-19058	287	2	.	.	PUNCT
bracis-19058	288	1	signal	signal	ADJ
bracis-19058	288	2	process	process	NOUN
bracis-19058	288	3	.	.	PUNCT
bracis-19058	289	1	control	control	NOUN
bracis-19058	289	2	30	30	NUM
bracis-19058	289	3	,	,	PUNCT
bracis-19058	289	4	31–42	31–42	NUM
bracis-19058	289	5	(	(	PUNCT
bracis-19058	289	6	2016	2016	NUM
bracis-19058	289	7	)	)	PUNCT
bracis-19058	289	8	google	google	PROPN
bracis-19058	289	9	scholar	scholar	NOUN
bracis-19058	289	10	  	  	SPACE
bracis-19058	289	11	mohammad	mohammad	PROPN
bracis-19058	289	12	,	,	PUNCT
bracis-19058	289	13	s.	s.	PROPN
bracis-19058	289	14	,	,	PUNCT
bracis-19058	289	15	guerra	guerra	PROPN
bracis-19058	289	16	,	,	PUNCT
bracis-19058	289	17	t.m	t.m	PROPN
bracis-19058	289	18	.	.	PROPN
bracis-19058	289	19	,	,	PUNCT
bracis-19058	289	20	grobois	grobois	PROPN
bracis-19058	289	21	,	,	PUNCT
bracis-19058	289	22	j.m	j.m	PROPN
bracis-19058	289	23	.	.	PROPN
bracis-19058	289	24	,	,	PUNCT
bracis-19058	289	25	hecquet	hecquet	PROPN
bracis-19058	289	26	,	,	PUNCT
bracis-19058	289	27	b.	b.	NOUN
bracis-19058	289	28	:	:	PUNCT
bracis-19058	289	29	heart	heart	NOUN
bracis-19058	289	30	rate	rate	NOUN
bracis-19058	289	31	control	control	NOUN
bracis-19058	289	32	during	during	ADP
bracis-19058	289	33	cycling	cycle	VERB
bracis-19058	289	34	exercise	exercise	NOUN
bracis-19058	289	35	using	use	VERB
bracis-19058	289	36	takagi	takagi	NOUN
bracis-19058	289	37	-	-	PUNCT
bracis-19058	289	38	sugeno	sugeno	NOUN
bracis-19058	289	39	models	model	NOUN
bracis-19058	289	40	.	.	PUNCT
bracis-19058	290	1	ifac	ifac	NOUN
bracis-19058	290	2	proc	proc	NOUN
bracis-19058	290	3	.	.	PUNCT
bracis-19058	291	1	44(1	44(1	PROPN
bracis-19058	291	2	)	)	PUNCT
bracis-19058	291	3	,	,	PUNCT
bracis-19058	291	4	12783–12788	12783–12788	NUM
bracis-19058	291	5	(	(	PUNCT
bracis-19058	291	6	2011	2011	NUM
bracis-19058	291	7	)	)	PUNCT
bracis-19058	291	8	google	google	PROPN
bracis-19058	291	9	scholar	scholar	NOUN
bracis-19058	291	10	  	  	SPACE
bracis-19058	291	11	zhang	zhang	PROPN
bracis-19058	291	12	,	,	PUNCT
bracis-19058	291	13	h.	h.	PROPN
bracis-19058	291	14	,	,	PUNCT
bracis-19058	291	15	wen	wen	PROPN
bracis-19058	291	16	,	,	PUNCT
bracis-19058	291	17	b.	b.	PROPN
bracis-19058	291	18	,	,	PUNCT
bracis-19058	291	19	liu	liu	PROPN
bracis-19058	291	20	,	,	PUNCT
bracis-19058	291	21	j.	j.	PROPN
bracis-19058	291	22	:	:	PUNCT
bracis-19058	291	23	the	the	DET
bracis-19058	291	24	prediction	prediction	NOUN
bracis-19058	291	25	of	of	ADP
bracis-19058	291	26	heart	heart	NOUN
bracis-19058	291	27	rate	rate	NOUN
bracis-19058	291	28	during	during	ADP
bracis-19058	291	29	running	run	VERB
bracis-19058	291	30	using	use	VERB
bracis-19058	291	31	bayesian	bayesian	NOUN
bracis-19058	291	32	combined	combine	VERB
bracis-19058	291	33	predictor	predictor	NOUN
bracis-19058	291	34	.	.	PUNCT
bracis-19058	292	1	in	in	ADP
bracis-19058	292	2	:	:	PUNCT
bracis-19058	292	3	ieee	ieee	NOUN
bracis-19058	292	4	iwcmc	iwcmc	PROPN
bracis-19058	292	5	,	,	PUNCT
bracis-19058	292	6	pp	pp	ADJ
bracis-19058	292	7	.	.	PUNCT
bracis-19058	293	1	981–986	981–986	NUM
bracis-19058	293	2	(	(	PUNCT
bracis-19058	293	3	2018	2018	NUM
bracis-19058	293	4	)	)	PUNCT
bracis-19058	293	5	google	google	PROPN
bracis-19058	293	6	scholar	scholar	NOUN
bracis-19058	293	7	  	  	SPACE
bracis-19058	293	8	xiao	xiao	PROPN
bracis-19058	293	9	,	,	PUNCT
bracis-19058	293	10	f.	f.	PROPN
bracis-19058	293	11	,	,	PUNCT
bracis-19058	293	12	yuchi	yuchi	PROPN
bracis-19058	293	13	,	,	PUNCT
bracis-19058	293	14	m.	m.	NOUN
bracis-19058	293	15	,	,	PUNCT
bracis-19058	293	16	ding	ding	NOUN
bracis-19058	293	17	,	,	PUNCT
bracis-19058	293	18	m.	m.	NOUN
bracis-19058	293	19	,	,	PUNCT
bracis-19058	293	20	jo	jo	PROPN
bracis-19058	293	21	,	,	PUNCT
bracis-19058	293	22	j.	j.	PROPN
bracis-19058	293	23	:	:	PUNCT
bracis-19058	293	24	a	a	DET
bracis-19058	293	25	research	research	NOUN
bracis-19058	293	26	of	of	ADP
bracis-19058	293	27	heart	heart	NOUN
bracis-19058	293	28	rate	rate	NOUN
bracis-19058	293	29	prediction	prediction	NOUN
bracis-19058	293	30	model	model	NOUN
bracis-19058	293	31	based	base	VERB
bracis-19058	293	32	on	on	ADP
bracis-19058	293	33	evolutionary	evolutionary	ADJ
bracis-19058	293	34	neural	neural	ADJ
bracis-19058	293	35	network	network	NOUN
bracis-19058	293	36	.	.	PUNCT
bracis-19058	294	1	in	in	ADP
bracis-19058	294	2	:	:	PUNCT
bracis-19058	294	3	ieee	ieee	NOUN
bracis-19058	294	4	icbmi	icbmi	PROPN
bracis-19058	294	5	,	,	PUNCT
bracis-19058	294	6	pp	pp	ADV
bracis-19058	294	7	.	.	PUNCT
bracis-19058	295	1	304–307	304–307	NUM
bracis-19058	295	2	(	(	PUNCT
bracis-19058	295	3	2011	2011	NUM
bracis-19058	295	4	)	)	PUNCT
bracis-19058	295	5	google	google	PROPN
bracis-19058	295	6	scholar	scholar	NOUN
bracis-19058	295	7	  	  	SPACE
bracis-19058	295	8	yuchi	yuchi	NOUN
bracis-19058	295	9	,	,	PUNCT
bracis-19058	295	10	m.	m.	NOUN
bracis-19058	295	11	,	,	PUNCT
bracis-19058	295	12	jo	jo	PROPN
bracis-19058	295	13	,	,	PUNCT
bracis-19058	295	14	j.	j.	PROPN
bracis-19058	295	15	:	:	PUNCT
bracis-19058	295	16	heart	heart	NOUN
bracis-19058	295	17	rate	rate	NOUN
bracis-19058	295	18	prediction	prediction	NOUN
bracis-19058	295	19	based	base	VERB
bracis-19058	295	20	on	on	ADP
bracis-19058	295	21	physical	physical	ADJ
bracis-19058	295	22	activity	activity	NOUN
bracis-19058	295	23	using	use	VERB
bracis-19058	295	24	feedforwad	feedforwad	NOUN
bracis-19058	295	25	neural	neural	ADJ
bracis-19058	295	26	network	network	NOUN
bracis-19058	295	27	.	.	PUNCT
bracis-19058	296	1	in	in	ADP
bracis-19058	296	2	:	:	PUNCT
bracis-19058	296	3	ieee	ieee	PROPN
bracis-19058	296	4	ichit	ichit	PROPN
bracis-19058	296	5	,	,	PUNCT
bracis-19058	296	6	pp	pp	ADV
bracis-19058	296	7	.	.	PUNCT
bracis-19058	297	1	344–350	344–350	NUM
bracis-19058	297	2	(	(	PUNCT
bracis-19058	297	3	2008	2008	NUM
bracis-19058	297	4	)	)	PUNCT
bracis-19058	297	5	google	google	PROPN
bracis-19058	297	6	scholar	scholar	NOUN
bracis-19058	297	7	  	  	SPACE
bracis-19058	297	8	mohajerin	mohajerin	NOUN
bracis-19058	297	9	,	,	PUNCT
bracis-19058	297	10	n.	n.	NOUN
bracis-19058	297	11	,	,	PUNCT
bracis-19058	297	12	waslander	waslander	NOUN
bracis-19058	297	13	,	,	PUNCT
bracis-19058	297	14	s.l	s.l	PROPN
bracis-19058	297	15	.	.	PROPN
bracis-19058	297	16	:	:	PUNCT
bracis-19058	298	1	multistep	multistep	ADJ
bracis-19058	298	2	prediction	prediction	NOUN
bracis-19058	298	3	of	of	ADP
bracis-19058	298	4	dynamic	dynamic	ADJ
bracis-19058	298	5	systems	system	NOUN
bracis-19058	298	6	with	with	ADP
bracis-19058	298	7	recurrent	recurrent	ADJ
bracis-19058	298	8	neural	neural	ADJ
bracis-19058	298	9	networks	network	NOUN
bracis-19058	298	10	.	.	PUNCT
bracis-19058	299	1	30(11	30(11	NUM
bracis-19058	299	2	)	)	PUNCT
bracis-19058	299	3	,	,	PUNCT
bracis-19058	299	4	3370–3383	3370–3383	NUM
bracis-19058	299	5	(	(	PUNCT
bracis-19058	299	6	2019	2019	NUM
bracis-19058	299	7	)	)	PUNCT
bracis-19058	299	8	google	google	PROPN
bracis-19058	299	9	scholar	scholar	NOUN
bracis-19058	299	10	  	  	SPACE
bracis-19058	299	11	salehizadeh	salehizadeh	PROPN
bracis-19058	299	12	,	,	PUNCT
bracis-19058	299	13	s.	s.	PROPN
bracis-19058	299	14	,	,	PUNCT
bracis-19058	299	15	dao	dao	PROPN
bracis-19058	299	16	,	,	PUNCT
bracis-19058	299	17	d.	d.	PROPN
bracis-19058	299	18	,	,	PUNCT
bracis-19058	299	19	bolkhovsky	bolkhovsky	PROPN
bracis-19058	299	20	,	,	PUNCT
bracis-19058	299	21	j.	j.	PROPN
bracis-19058	299	22	,	,	PUNCT
bracis-19058	299	23	cho	cho	PROPN
bracis-19058	299	24	,	,	PUNCT
bracis-19058	299	25	c.	c.	PROPN
bracis-19058	299	26	,	,	PUNCT
bracis-19058	299	27	mendelson	mendelson	PROPN
bracis-19058	299	28	,	,	PUNCT
bracis-19058	299	29	y.	y.	PROPN
bracis-19058	299	30	,	,	PUNCT
bracis-19058	299	31	chon	chon	PROPN
bracis-19058	299	32	,	,	PUNCT
bracis-19058	299	33	k.	k.	PROPN
bracis-19058	299	34	:	:	PUNCT
bracis-19058	299	35	a	a	DET
bracis-19058	299	36	novel	novel	ADJ
bracis-19058	299	37	time	time	NOUN
bracis-19058	299	38	-	-	PUNCT
bracis-19058	299	39	varying	vary	VERB
bracis-19058	299	40	spectral	spectral	ADJ
bracis-19058	299	41	filtering	filtering	NOUN
bracis-19058	299	42	algorithm	algorithm	NOUN
bracis-19058	299	43	for	for	ADP
bracis-19058	299	44	reconstruction	reconstruction	NOUN
bracis-19058	299	45	of	of	ADP
bracis-19058	299	46	motion	motion	NOUN
bracis-19058	299	47	artifact	artifact	ADJ
bracis-19058	299	48	corrupted	corrupt	VERB
bracis-19058	299	49	heart	heart	NOUN
bracis-19058	299	50	rate	rate	NOUN
bracis-19058	299	51	signals	signal	NOUN
bracis-19058	299	52	during	during	ADP
bracis-19058	299	53	intense	intense	ADJ
bracis-19058	299	54	physical	physical	ADJ
bracis-19058	299	55	activities	activity	NOUN
bracis-19058	299	56	using	use	VERB
bracis-19058	299	57	a	a	DET
bracis-19058	299	58	wearable	wearable	ADJ
bracis-19058	299	59	photoplethysmogram	photoplethysmogram	NOUN
bracis-19058	299	60	sensor	sensor	NOUN
bracis-19058	299	61	.	.	PUNCT
bracis-19058	300	1	sensors	sensor	NOUN
bracis-19058	300	2	16(1	16(1	NUM
bracis-19058	300	3	)	)	PUNCT
bracis-19058	300	4	,	,	PUNCT
bracis-19058	300	5	10	10	NUM
bracis-19058	300	6	(	(	PUNCT
bracis-19058	300	7	2016	2016	NUM
bracis-19058	300	8	)	)	PUNCT
bracis-19058	300	9	article	article	NOUN
bracis-19058	300	10	  	  	SPACE
bracis-19058	300	11	google	google	PROPN
bracis-19058	300	12	scholar	scholar	NOUN
bracis-19058	300	13	  	  	SPACE
bracis-19058	300	14	schäck	schäck	PROPN
bracis-19058	300	15	,	,	PUNCT
bracis-19058	300	16	t.	t.	PROPN
bracis-19058	300	17	,	,	PUNCT
bracis-19058	300	18	muma	muma	PROPN
bracis-19058	300	19	,	,	PUNCT
bracis-19058	300	20	m.	m.	NOUN
bracis-19058	300	21	,	,	PUNCT
bracis-19058	300	22	zoubir	zoubir	NOUN
bracis-19058	300	23	,	,	PUNCT
bracis-19058	300	24	a.m.	a.m.	ADV
bracis-19058	300	25	:	:	PUNCT
bracis-19058	300	26	computationally	computationally	ADV
bracis-19058	300	27	efficient	efficient	ADJ
bracis-19058	300	28	heart	heart	NOUN
bracis-19058	300	29	rate	rate	NOUN
bracis-19058	300	30	estimation	estimation	NOUN
bracis-19058	300	31	during	during	ADP
bracis-19058	300	32	physical	physical	ADJ
bracis-19058	300	33	exercise	exercise	NOUN
bracis-19058	300	34	using	use	VERB
bracis-19058	300	35	photoplethysmographic	photoplethysmographic	ADJ
bracis-19058	300	36	signals	signal	NOUN
bracis-19058	300	37	.	.	PUNCT
bracis-19058	301	1	in	in	ADP
bracis-19058	301	2	:	:	PUNCT
bracis-19058	301	3	eusipco	eusipco	ADJ
bracis-19058	301	4	,	,	PUNCT
bracis-19058	301	5	pp	pp	ADJ
bracis-19058	301	6	.	.	PUNCT
bracis-19058	302	1	2478–2481	2478–2481	NUM
bracis-19058	302	2	(	(	PUNCT
bracis-19058	302	3	2017	2017	NUM
bracis-19058	302	4	)	)	PUNCT
bracis-19058	302	5	google	google	NOUN
bracis-19058	302	6	scholar	scholar	NOUN
bracis-19058	302	7	  	  	SPACE
bracis-19058	302	8	schmidt	schmidt	NOUN
bracis-19058	302	9	,	,	PUNCT
bracis-19058	302	10	p.	p.	PROPN
bracis-19058	302	11	,	,	PUNCT
bracis-19058	302	12	reiss	reiss	PROPN
bracis-19058	302	13	,	,	PUNCT
bracis-19058	302	14	a.	a.	NOUN
bracis-19058	302	15	,	,	PUNCT
bracis-19058	302	16	duerichen	duerichen	PROPN
bracis-19058	302	17	,	,	PUNCT
bracis-19058	302	18	r.	r.	PROPN
bracis-19058	302	19	,	,	PUNCT
bracis-19058	302	20	marberger	marberger	PROPN
bracis-19058	302	21	,	,	PUNCT
bracis-19058	302	22	c.	c.	PROPN
bracis-19058	302	23	,	,	PUNCT
bracis-19058	302	24	van	van	PROPN
bracis-19058	302	25	laerhoven	laerhoven	PROPN
bracis-19058	302	26	,	,	PUNCT
bracis-19058	302	27	k.	k.	PROPN
bracis-19058	302	28	:	:	PUNCT
bracis-19058	302	29	introducing	introduce	VERB
bracis-19058	302	30	wesad	wesad	NOUN
bracis-19058	302	31	,	,	PUNCT
bracis-19058	302	32	a	a	DET
bracis-19058	302	33	multimodal	multimodal	NOUN
bracis-19058	302	34	dataset	dataset	NOUN
bracis-19058	302	35	for	for	ADP
bracis-19058	302	36	wearable	wearable	ADJ
bracis-19058	302	37	stress	stress	NOUN
bracis-19058	302	38	and	and	CCONJ
bracis-19058	302	39	affect	affect	VERB
bracis-19058	302	40	detection	detection	NOUN
bracis-19058	302	41	.	.	PUNCT
bracis-19058	303	1	in	in	ADP
bracis-19058	303	2	:	:	PUNCT
bracis-19058	303	3	acm	acm	PROPN
bracis-19058	303	4	icmi	icmi	NOUN
bracis-19058	303	5	,	,	PUNCT
bracis-19058	303	6	pp	pp	ADV
bracis-19058	303	7	.	.	PUNCT
bracis-19058	304	1	400–408	400–408	NUM
bracis-19058	304	2	,	,	PUNCT
bracis-19058	304	3	new	new	PROPN
bracis-19058	304	4	york	york	PROPN
bracis-19058	304	5	,	,	PUNCT
bracis-19058	304	6	ny	ny	PROPN
bracis-19058	304	7	,	,	PUNCT
bracis-19058	304	8	usa	usa	PROPN
bracis-19058	304	9	(	(	PUNCT
bracis-19058	304	10	2018	2018	NUM
bracis-19058	304	11	)	)	PUNCT
bracis-19058	304	12	.	.	PUNCT
bracis-19058	305	1	association	association	NOUN
bracis-19058	305	2	for	for	ADP
bracis-19058	305	3	computing	compute	VERB
bracis-19058	305	4	machinery	machinery	NOUN
bracis-19058	305	5	google	google	PROPN
bracis-19058	305	6	scholar	scholar	NOUN
bracis-19058	305	7	  	  	SPACE
bracis-19058	305	8	reiss	reiss	PROPN
bracis-19058	305	9	,	,	PUNCT
bracis-19058	305	10	a.	a.	PROPN
bracis-19058	305	11	,	,	PUNCT
bracis-19058	305	12	stricker	stricker	PROPN
bracis-19058	305	13	,	,	PUNCT
bracis-19058	305	14	d.	d.	PROPN
bracis-19058	305	15	:	:	PUNCT
bracis-19058	305	16	introducing	introduce	VERB
bracis-19058	305	17	a	a	DET
bracis-19058	305	18	new	new	ADJ
bracis-19058	305	19	benchmarked	benchmarke	VERB
bracis-19058	305	20	dataset	dataset	NOUN
bracis-19058	305	21	for	for	ADP
bracis-19058	305	22	activity	activity	NOUN
bracis-19058	305	23	monitoring	monitoring	NOUN
bracis-19058	305	24	.	.	PUNCT
bracis-19058	306	1	in	in	ADP
bracis-19058	306	2	:	:	PUNCT
bracis-19058	306	3	ieee	ieee	NOUN
bracis-19058	306	4	iswc	iswc	NOUN
bracis-19058	306	5	,	,	PUNCT
bracis-19058	306	6	pp	pp	ADJ
bracis-19058	306	7	.	.	PUNCT
bracis-19058	307	1	108–109	108–109	NUM
bracis-19058	307	2	,	,	PUNCT
bracis-19058	307	3	june	june	PROPN
bracis-19058	307	4	2012	2012	NUM
bracis-19058	307	5	google	google	PROPN
bracis-19058	307	6	scholar	scholar	NOUN
bracis-19058	307	7	  	  	SPACE
bracis-19058	307	8	van	van	PROPN
bracis-19058	307	9	gent	gent	NOUN
bracis-19058	307	10	,	,	PUNCT
bracis-19058	307	11	p.	p.	PROPN
bracis-19058	307	12	,	,	PUNCT
bracis-19058	307	13	farah	farah	PROPN
bracis-19058	307	14	,	,	PUNCT
bracis-19058	307	15	h.	h.	PROPN
bracis-19058	307	16	,	,	PUNCT
bracis-19058	307	17	van	van	PROPN
bracis-19058	307	18	nes	nes	PROPN
bracis-19058	307	19	,	,	PUNCT
bracis-19058	307	20	n.	n.	NOUN
bracis-19058	307	21	,	,	PUNCT
bracis-19058	307	22	van	van	PROPN
bracis-19058	307	23	arem	arem	PROPN
bracis-19058	307	24	,	,	PUNCT
bracis-19058	307	25	b.	b.	PROPN
bracis-19058	307	26	:	:	PUNCT
bracis-19058	307	27	analysing	analyse	VERB
bracis-19058	307	28	noisy	noisy	ADJ
bracis-19058	307	29	driver	driver	NOUN
bracis-19058	307	30	physiology	physiology	NOUN
bracis-19058	307	31	real	real	ADJ
bracis-19058	307	32	-	-	PUNCT
bracis-19058	307	33	time	time	NOUN
bracis-19058	307	34	using	use	VERB
bracis-19058	307	35	off	off	ADP
bracis-19058	307	36	-	-	PUNCT
bracis-19058	307	37	the	the	DET
bracis-19058	307	38	-	-	PUNCT
bracis-19058	307	39	shelf	shelf	NOUN
bracis-19058	307	40	sensors	sensor	NOUN
bracis-19058	307	41	:	:	PUNCT
bracis-19058	307	42	heart	heart	NOUN
bracis-19058	307	43	rate	rate	NOUN
bracis-19058	307	44	analysis	analysis	NOUN
bracis-19058	307	45	software	software	NOUN
bracis-19058	307	46	from	from	ADP
bracis-19058	307	47	the	the	DET
bracis-19058	307	48	taking	take	VERB
bracis-19058	307	49	the	the	DET
bracis-19058	307	50	fast	fast	ADJ
bracis-19058	307	51	lane	lane	NOUN
bracis-19058	307	52	project	project	NOUN
bracis-19058	307	53	.	.	PUNCT
bracis-19058	308	1	j.	j.	PROPN
bracis-19058	308	2	open	open	PROPN
bracis-19058	308	3	res	re	NOUN
bracis-19058	308	4	.	.	PUNCT
bracis-19058	309	1	softw	softw	PROPN
bracis-19058	309	2	.	.	PUNCT
bracis-19058	310	1	7(1	7(1	NUM
bracis-19058	310	2	)	)	PUNCT
bracis-19058	310	3	(	(	PUNCT
bracis-19058	310	4	2019	2019	NUM
bracis-19058	310	5	)	)	PUNCT
bracis-19058	310	6	google	google	NOUN
bracis-19058	310	7	scholar	scholar	NOUN
bracis-19058	310	8	  	  	SPACE
bracis-19058	310	9	eyobu	eyobu	NOUN
bracis-19058	310	10	,	,	PUNCT
bracis-19058	310	11	o.s	o.s	PROPN
bracis-19058	310	12	.	.	PROPN
bracis-19058	310	13	,	,	PUNCT
bracis-19058	310	14	han	han	PROPN
bracis-19058	310	15	,	,	PUNCT
bracis-19058	310	16	d.s	d.s	PROPN
bracis-19058	310	17	.	.	PROPN
bracis-19058	310	18	:	:	PUNCT
bracis-19058	310	19	feature	feature	NOUN
bracis-19058	310	20	representation	representation	NOUN
bracis-19058	310	21	and	and	CCONJ
bracis-19058	310	22	data	datum	NOUN
bracis-19058	310	23	augmentation	augmentation	NOUN
bracis-19058	310	24	for	for	ADP
bracis-19058	310	25	human	human	ADJ
bracis-19058	310	26	activity	activity	NOUN
bracis-19058	310	27	classification	classification	NOUN
bracis-19058	310	28	based	base	VERB
bracis-19058	310	29	on	on	ADP
bracis-19058	310	30	wearable	wearable	ADJ
bracis-19058	310	31	imu	imu	NOUN
bracis-19058	310	32	sensor	sensor	NOUN
bracis-19058	310	33	data	datum	NOUN
bracis-19058	310	34	using	use	VERB
bracis-19058	310	35	a	a	DET
bracis-19058	310	36	deep	deep	ADJ
bracis-19058	310	37	lstm	lstm	ADJ
bracis-19058	310	38	neural	neural	ADJ
bracis-19058	310	39	network	network	NOUN
bracis-19058	310	40	.	.	PUNCT
bracis-19058	311	1	sensors	sensor	NOUN
bracis-19058	311	2	18(9	18(9	PROPN
bracis-19058	311	3	)	)	PUNCT
bracis-19058	311	4	,	,	PUNCT
bracis-19058	311	5	2892	2892	NUM
bracis-19058	311	6	(	(	PUNCT
bracis-19058	311	7	2018	2018	NUM
bracis-19058	311	8	)	)	PUNCT
bracis-19058	311	9	google	google	PROPN
bracis-19058	311	10	scholar	scholar	NOUN
bracis-19058	311	11	  	  	SPACE
bracis-19058	311	12	rueda	rueda	PROPN
bracis-19058	311	13	,	,	PUNCT
bracis-19058	311	14	f.m	f.m	PROPN
bracis-19058	311	15	.	.	PROPN
bracis-19058	311	16	,	,	PUNCT
bracis-19058	311	17	grzeszick	grzeszick	PROPN
bracis-19058	311	18	,	,	PUNCT
bracis-19058	311	19	r.	r.	PROPN
bracis-19058	311	20	,	,	PUNCT
bracis-19058	311	21	fink	fink	PROPN
bracis-19058	311	22	,	,	PUNCT
bracis-19058	311	23	g.a	g.a	PROPN
bracis-19058	311	24	.	.	PROPN
bracis-19058	311	25	,	,	PUNCT
bracis-19058	311	26	feldhorst	feldhorst	ADJ
bracis-19058	311	27	,	,	PUNCT
bracis-19058	311	28	s.	s.	PROPN
bracis-19058	311	29	,	,	PUNCT
bracis-19058	311	30	hompel	hompel	NOUN
bracis-19058	311	31	,	,	PUNCT
bracis-19058	311	32	m.t	m.t	PROPN
bracis-19058	311	33	.	.	PROPN
bracis-19058	311	34	:	:	PUNCT
bracis-19058	312	1	convolutional	convolutional	ADJ
bracis-19058	312	2	neural	neural	ADJ
bracis-19058	312	3	networks	network	NOUN
bracis-19058	312	4	for	for	ADP
bracis-19058	312	5	human	human	ADJ
bracis-19058	312	6	activity	activity	NOUN
bracis-19058	312	7	recognition	recognition	NOUN
bracis-19058	312	8	using	use	VERB
bracis-19058	312	9	body	body	NOUN
bracis-19058	312	10	-	-	PUNCT
bracis-19058	312	11	worn	wear	VERB
bracis-19058	312	12	sensors	sensor	NOUN
bracis-19058	312	13	.	.	PUNCT
bracis-19058	313	1	informatics	informatic	NOUN
bracis-19058	313	2	5(2	5(2	NUM
bracis-19058	313	3	)	)	PUNCT
bracis-19058	313	4	,	,	PUNCT
bracis-19058	313	5	26	26	NUM
bracis-19058	313	6	(	(	PUNCT
bracis-19058	313	7	2018	2018	NUM
bracis-19058	313	8	)	)	PUNCT
bracis-19058	313	9	google	google	PROPN
bracis-19058	313	10	scholar	scholar	NOUN
bracis-19058	313	11	  	  	SPACE
bracis-19058	313	12	ordóñez	ordóñez	NOUN
bracis-19058	313	13	,	,	PUNCT
bracis-19058	313	14	f.j	f.j	PROPN
bracis-19058	313	15	.	.	PROPN
bracis-19058	313	16	,	,	PUNCT
bracis-19058	313	17	roggen	roggen	PROPN
bracis-19058	313	18	,	,	PUNCT
bracis-19058	313	19	d.	d.	PROPN
bracis-19058	313	20	:	:	PUNCT
bracis-19058	313	21	deep	deep	ADJ
bracis-19058	313	22	convolutional	convolutional	ADJ
bracis-19058	313	23	and	and	CCONJ
bracis-19058	313	24	lstm	lstm	ADJ
bracis-19058	313	25	recurrent	recurrent	ADJ
bracis-19058	313	26	neural	neural	ADJ
bracis-19058	313	27	networks	network	NOUN
bracis-19058	313	28	for	for	ADP
bracis-19058	313	29	multimodal	multimodal	ADJ
bracis-19058	313	30	wearable	wearable	ADJ
bracis-19058	313	31	activity	activity	NOUN
bracis-19058	313	32	recognition	recognition	NOUN
bracis-19058	313	33	.	.	PUNCT
bracis-19058	314	1	sensors	sensor	NOUN
bracis-19058	314	2	16(1	16(1	NUM
bracis-19058	314	3	)	)	PUNCT
bracis-19058	314	4	,	,	PUNCT
bracis-19058	314	5	115	115	NUM
bracis-19058	314	6	(	(	PUNCT
bracis-19058	314	7	2016	2016	NUM
bracis-19058	314	8	)	)	PUNCT
bracis-19058	314	9	google	google	PROPN
bracis-19058	314	10	scholar	scholar	NOUN
bracis-19058	314	11	  	  	SPACE
bracis-19058	314	12	jordao	jordao	PROPN
bracis-19058	314	13	,	,	PUNCT
bracis-19058	314	14	a.	a.	PROPN
bracis-19058	314	15	,	,	PUNCT
bracis-19058	314	16	nazare	nazare	PROPN
bracis-19058	314	17	jr	jr	PROPN
bracis-19058	314	18	,	,	PUNCT
bracis-19058	314	19	a.c	a.c	PROPN
bracis-19058	314	20	.	.	PROPN
bracis-19058	314	21	,	,	PUNCT
bracis-19058	314	22	sena	sena	PROPN
bracis-19058	314	23	,	,	PUNCT
bracis-19058	314	24	j.	j.	PROPN
bracis-19058	314	25	,	,	PUNCT
bracis-19058	314	26	schwartz	schwartz	PROPN
bracis-19058	314	27	,	,	PUNCT
bracis-19058	314	28	w.r	w.r	PROPN
bracis-19058	314	29	.	.	PROPN
bracis-19058	314	30	:	:	PUNCT
bracis-19058	314	31	human	human	ADJ
bracis-19058	314	32	activity	activity	NOUN
bracis-19058	314	33	recognition	recognition	NOUN
bracis-19058	314	34	based	base	VERB
bracis-19058	314	35	on	on	ADP
bracis-19058	314	36	wearable	wearable	ADJ
bracis-19058	314	37	sensor	sensor	NOUN
bracis-19058	314	38	data	datum	NOUN
bracis-19058	314	39	:	:	PUNCT
bracis-19058	314	40	a	a	DET
bracis-19058	314	41	standardization	standardization	NOUN
bracis-19058	314	42	of	of	ADP
bracis-19058	314	43	the	the	DET
bracis-19058	314	44	state	state	NOUN
bracis-19058	314	45	-	-	PUNCT
bracis-19058	314	46	of	of	ADP
bracis-19058	314	47	-	-	PUNCT
bracis-19058	314	48	the	the	DET
bracis-19058	314	49	-	-	PUNCT
bracis-19058	314	50	art	art	NOUN
bracis-19058	314	51	.	.	PUNCT
bracis-19058	315	1	arxiv	arxiv	PROPN
bracis-19058	315	2	e	e	PROPN
bracis-19058	315	3	-	-	NOUN
bracis-19058	315	4	prints	print	NOUN
bracis-19058	315	5	,	,	PUNCT
bracis-19058	315	6	page	page	NOUN
bracis-19058	315	7	arxiv:1806.05226	arxiv:1806.05226	NOUN
bracis-19058	315	8	,	,	PUNCT
bracis-19058	315	9	june	june	PROPN
bracis-19058	315	10	2018	2018	NUM
bracis-19058	315	11	de	de	X
bracis-19058	315	12	aguiar	aguiar	PROPN
bracis-19058	315	13	,	,	PUNCT
bracis-19058	315	14	d.p	d.p	PROPN
bracis-19058	315	15	.	.	PROPN
bracis-19058	315	16	,	,	PUNCT
bracis-19058	315	17	murai	murai	PROPN
bracis-19058	315	18	,	,	PUNCT
bracis-19058	315	19	f.	f.	PROPN
bracis-19058	315	20	:	:	PUNCT
bracis-19058	315	21	am	be	AUX
bracis-19058	315	22	i	i	PRON
bracis-19058	315	23	fit	fit	ADJ
bracis-19058	315	24	for	for	ADP
bracis-19058	315	25	this	this	DET
bracis-19058	315	26	physical	physical	ADJ
bracis-19058	315	27	activity	activity	NOUN
bracis-19058	315	28	?	?	PUNCT
bracis-19058	316	1	neural	neural	ADJ
bracis-19058	316	2	embedding	embedding	NOUN
bracis-19058	316	3	of	of	ADP
bracis-19058	316	4	physical	physical	ADJ
bracis-19058	316	5	conditioning	conditioning	NOUN
bracis-19058	316	6	from	from	ADP
bracis-19058	316	7	inertial	inertial	ADJ
bracis-19058	316	8	sensors	sensor	NOUN
bracis-19058	316	9	(	(	PUNCT
bracis-19058	316	10	2021	2021	NUM
bracis-19058	316	11	)	)	PUNCT
bracis-19058	316	12	google	google	PROPN
bracis-19058	316	13	scholar	scholar	NOUN
bracis-19058	316	14	  	  	SPACE
bracis-19058	316	15	hammerla	hammerla	PROPN
bracis-19058	316	16	,	,	PUNCT
bracis-19058	316	17	n.y	n.y	PROPN
bracis-19058	316	18	.	.	PROPN
bracis-19058	316	19	,	,	PUNCT
bracis-19058	316	20	halloran	halloran	PROPN
bracis-19058	316	21	,	,	PUNCT
bracis-19058	316	22	s.	s.	PROPN
bracis-19058	316	23	,	,	PUNCT
bracis-19058	316	24	plötz	plötz	NOUN
bracis-19058	316	25	,	,	PUNCT
bracis-19058	316	26	t.	t.	PROPN
bracis-19058	316	27	:	:	PUNCT
bracis-19058	316	28	deep	deep	ADJ
bracis-19058	316	29	,	,	PUNCT
bracis-19058	316	30	convolutional	convolutional	ADJ
bracis-19058	316	31	,	,	PUNCT
bracis-19058	316	32	and	and	CCONJ
bracis-19058	316	33	recurrent	recurrent	ADJ
bracis-19058	316	34	models	model	NOUN
bracis-19058	316	35	for	for	ADP
bracis-19058	316	36	human	human	ADJ
bracis-19058	316	37	activity	activity	NOUN
bracis-19058	316	38	recognition	recognition	NOUN
bracis-19058	316	39	using	use	VERB
bracis-19058	316	40	wearables	wearable	NOUN
bracis-19058	316	41	.	.	PUNCT
bracis-19058	317	1	in	in	ADP
bracis-19058	317	2	:	:	PUNCT
bracis-19058	317	3	ijcai	ijcai	NOUN
bracis-19058	317	4	,	,	PUNCT
bracis-19058	317	5	pp	pp	X
bracis-19058	317	6	.	.	PUNCT
bracis-19058	318	1	1533–1540	1533–1540	NUM
bracis-19058	318	2	(	(	PUNCT
bracis-19058	318	3	2016	2016	NUM
bracis-19058	318	4	)	)	PUNCT
bracis-19058	318	5	google	google	PROPN
bracis-19058	318	6	scholar	scholar	NOUN
bracis-19058	318	7	  	  	SPACE
bracis-19058	318	8	vaswani	vaswani	NOUN
bracis-19058	318	9	,	,	PUNCT
bracis-19058	318	10	a.	a.	NOUN
bracis-19058	318	11	:	:	PUNCT
bracis-19058	318	12	attention	attention	NOUN
bracis-19058	318	13	is	be	AUX
bracis-19058	318	14	all	all	PRON
bracis-19058	318	15	you	you	PRON
bracis-19058	318	16	need	need	VERB
bracis-19058	318	17	.	.	PUNCT
bracis-19058	319	1	in	in	ADP
bracis-19058	319	2	:	:	PUNCT
bracis-19058	319	3	neurips	neurip	NOUN
bracis-19058	319	4	,	,	PUNCT
bracis-19058	319	5	pp	pp	ADP
bracis-19058	319	6	.	.	PUNCT
bracis-19058	320	1	5998–6008	5998–6008	NUM
bracis-19058	320	2	(	(	PUNCT
bracis-19058	320	3	2017	2017	NUM
bracis-19058	320	4	)	)	PUNCT
bracis-19058	320	5	google	google	PROPN
bracis-19058	320	6	scholar	scholar	NOUN
bracis-19058	320	7	  	  	SPACE
bracis-19058	320	8	wu	wu	PROPN
bracis-19058	320	9	,	,	PUNCT
bracis-19058	320	10	n.	n.	NOUN
bracis-19058	320	11	,	,	PUNCT
bracis-19058	320	12	green	green	PROPN
bracis-19058	320	13	,	,	PUNCT
bracis-19058	320	14	b.	b.	PROPN
bracis-19058	320	15	,	,	PUNCT
bracis-19058	320	16	ben	ben	PROPN
bracis-19058	320	17	,	,	PUNCT
bracis-19058	320	18	x.	x.	PROPN
bracis-19058	320	19	,	,	PUNCT
bracis-19058	320	20	o’banion	o’banion	PROPN
bracis-19058	320	21	,	,	PUNCT
bracis-19058	320	22	s.	s.	PROPN
bracis-19058	320	23	:	:	PUNCT
bracis-19058	320	24	deep	deep	ADJ
bracis-19058	320	25	transformer	transformer	NOUN
bracis-19058	320	26	models	model	NOUN
bracis-19058	320	27	for	for	ADP
bracis-19058	320	28	time	time	NOUN
bracis-19058	320	29	series	series	PROPN
bracis-19058	320	30	forecasting	forecasting	PROPN
bracis-19058	320	31	:	:	PUNCT
bracis-19058	320	32	the	the	DET
bracis-19058	320	33	influenza	influenza	ADJ
bracis-19058	320	34	prevalence	prevalence	NOUN
bracis-19058	320	35	case	case	NOUN
bracis-19058	320	36	.	.	PUNCT
bracis-19058	321	1	arxiv	arxiv	PROPN
bracis-19058	321	2	e	e	PROPN
bracis-19058	321	3	-	-	NOUN
bracis-19058	321	4	prints	print	NOUN
bracis-19058	321	5	,	,	PUNCT
bracis-19058	321	6	page	page	NOUN
bracis-19058	321	7	arxiv:2001.08317	arxiv:2001.08317	ADV
bracis-19058	321	8	,	,	PUNCT
bracis-19058	321	9	january	january	PROPN
bracis-19058	321	10	2020	2020	NUM
bracis-19058	321	11	wang	wang	PROPN
bracis-19058	321	12	,	,	PUNCT
bracis-19058	321	13	j.	j.	PROPN
bracis-19058	321	14	,	,	PUNCT
bracis-19058	321	15	chen	chen	PROPN
bracis-19058	321	16	,	,	PUNCT
bracis-19058	321	17	y.	y.	PROPN
bracis-19058	321	18	,	,	PUNCT
bracis-19058	321	19	hao	hao	PROPN
bracis-19058	321	20	,	,	PUNCT
bracis-19058	321	21	s.	s.	PROPN
bracis-19058	321	22	,	,	PUNCT
bracis-19058	321	23	peng	peng	PROPN
bracis-19058	321	24	,	,	PUNCT
bracis-19058	321	25	x.	x.	PROPN
bracis-19058	321	26	,	,	PUNCT
bracis-19058	321	27	lisha	lisha	PROPN
bracis-19058	321	28	,	,	PUNCT
bracis-19058	321	29	h.	h.	PROPN
bracis-19058	321	30	:	:	PUNCT
bracis-19058	321	31	deep	deep	ADJ
bracis-19058	321	32	learning	learning	NOUN
bracis-19058	321	33	for	for	ADP
bracis-19058	321	34	sensor	sensor	NOUN
bracis-19058	321	35	-	-	PUNCT
bracis-19058	321	36	based	base	VERB
bracis-19058	321	37	activity	activity	NOUN
bracis-19058	321	38	recognition	recognition	NOUN
bracis-19058	321	39	:	:	PUNCT
bracis-19058	321	40	a	a	DET
bracis-19058	321	41	survey	survey	NOUN
bracis-19058	321	42	.	.	PUNCT
bracis-19058	322	1	patt	patt	PROPN
bracis-19058	322	2	.	.	PUNCT
bracis-19058	323	1	recogn	recogn	PROPN
bracis-19058	323	2	.	.	PUNCT
bracis-19058	324	1	lett	lett	PROPN
bracis-19058	324	2	.	.	PUNCT
bracis-19058	325	1	119	119	NUM
bracis-19058	325	2	,	,	PUNCT
bracis-19058	325	3	3–11	3–11	NOUN
bracis-19058	325	4	(	(	PUNCT
bracis-19058	325	5	2019	2019	NUM
bracis-19058	325	6	)	)	PUNCT
bracis-19058	325	7	article	article	NOUN
bracis-19058	325	8	  	  	SPACE
bracis-19058	325	9	google	google	PROPN
bracis-19058	325	10	scholar	scholar	NOUN
bracis-19058	325	11	  	  	SPACE
bracis-19058	325	12	zimmermann	zimmermann	PROPN
bracis-19058	325	13	,	,	PUNCT
bracis-19058	325	14	h.	h.	PROPN
bracis-19058	325	15	,	,	PUNCT
bracis-19058	325	16	grothmann	grothmann	PROPN
bracis-19058	325	17	,	,	PUNCT
bracis-19058	325	18	r.	r.	PROPN
bracis-19058	325	19	,	,	PUNCT
bracis-19058	325	20	schaefer	schaefer	PROPN
bracis-19058	325	21	,	,	PUNCT
bracis-19058	325	22	a.	a.	NOUN
bracis-19058	325	23	,	,	PUNCT
bracis-19058	325	24	tietz	tietz	VERB
bracis-19058	325	25	,	,	PUNCT
bracis-19058	325	26	c.	c.	PROPN
bracis-19058	325	27	:	:	PUNCT
bracis-19058	325	28	8	8	NUM
bracis-19058	325	29	modeling	model	VERB
bracis-19058	325	30	large	large	ADJ
bracis-19058	325	31	dynamical	dynamical	ADJ
bracis-19058	325	32	systems	system	NOUN
bracis-19058	325	33	with	with	ADP
bracis-19058	325	34	dynamical	dynamical	ADJ
bracis-19058	325	35	consistent	consistent	ADJ
bracis-19058	325	36	neural	neural	ADJ
bracis-19058	325	37	networks	network	NOUN
bracis-19058	325	38	.	.	PUNCT
bracis-19058	326	1	in	in	ADP
bracis-19058	326	2	:	:	PUNCT
bracis-19058	326	3	haykin	haykin	PROPN
bracis-19058	326	4	,	,	PUNCT
bracis-19058	326	5	s.	s.	PROPN
bracis-19058	326	6	,	,	PUNCT
bracis-19058	326	7	principe	principe	PROPN
bracis-19058	326	8	,	,	PUNCT
bracis-19058	326	9	j.c	j.c	PROPN
bracis-19058	326	10	.	.	PROPN
bracis-19058	326	11	,	,	PUNCT
bracis-19058	326	12	sejnowski	sejnowski	PROPN
bracis-19058	326	13	,	,	PUNCT
bracis-19058	326	14	t.j	t.j	PROPN
bracis-19058	326	15	.	.	PROPN
bracis-19058	326	16	,	,	PUNCT
bracis-19058	326	17	mcwhirter	mcwhirter	AUX
bracis-19058	326	18	,	,	PUNCT
bracis-19058	326	19	j.	j.	PROPN
bracis-19058	326	20	(	(	PUNCT
bracis-19058	326	21	eds	eds	PROPN
bracis-19058	326	22	.	.	PUNCT
bracis-19058	326	23	)	)	PUNCT
bracis-19058	327	1	new	new	ADJ
bracis-19058	327	2	directions	direction	NOUN
bracis-19058	327	3	in	in	ADP
bracis-19058	327	4	statistical	statistical	ADJ
bracis-19058	327	5	signal	signal	NOUN
bracis-19058	327	6	processing	processing	NOUN
bracis-19058	327	7	:	:	PUNCT
bracis-19058	327	8	from	from	ADP
bracis-19058	327	9	systems	system	NOUN
bracis-19058	327	10	to	to	ADP
bracis-19058	327	11	brains	brain	NOUN
bracis-19058	327	12	,	,	PUNCT
bracis-19058	327	13	chapter	chapter	NOUN
bracis-19058	327	14	8	8	NUM
bracis-19058	327	15	.	.	PUNCT
bracis-19058	328	1	the	the	DET
bracis-19058	328	2	mit	mit	PROPN
bracis-19058	328	3	press	press	NOUN
bracis-19058	328	4	(	(	PUNCT
bracis-19058	328	5	2006	2006	NUM
bracis-19058	328	6	)	)	PUNCT
bracis-19058	328	7	google	google	PROPN
bracis-19058	328	8	scholar	scholar	NOUN
bracis-19058	328	9	  	  	SPACE
bracis-19058	328	10	wenke	wenke	NOUN
bracis-19058	328	11	,	,	PUNCT
bracis-19058	328	12	s.	s.	PROPN
bracis-19058	328	13	,	,	PUNCT
bracis-19058	328	14	fleming	fleming	PROPN
bracis-19058	328	15	,	,	PUNCT
bracis-19058	328	16	j.	j.	PROPN
bracis-19058	328	17	:	:	PUNCT
bracis-19058	328	18	contextual	contextual	ADJ
bracis-19058	328	19	recurrent	recurrent	ADJ
bracis-19058	328	20	neural	neural	ADJ
bracis-19058	328	21	networks	network	NOUN
bracis-19058	328	22	(	(	PUNCT
bracis-19058	328	23	2019	2019	NUM
bracis-19058	328	24	)	)	PUNCT
bracis-19058	328	25	google	google	NOUN
bracis-19058	328	26	scholar	scholar	NOUN
bracis-19058	328	27	  	  	SPACE
bracis-19058	328	28	download	download	NOUN
bracis-19058	328	29	references	reference	NOUN
bracis-19058	328	30	author	author	NOUN
bracis-19058	328	31	information	information	NOUN
bracis-19058	328	32	authors	author	NOUN
bracis-19058	328	33	and	and	CCONJ
bracis-19058	328	34	affiliations	affiliation	NOUN
bracis-19058	328	35	universidade	universidade	PROPN
bracis-19058	328	36	federal	federal	PROPN
bracis-19058	328	37	de	de	PROPN
bracis-19058	328	38	minas	minas	PROPN
bracis-19058	328	39	gerais	gerais	PROPN
bracis-19058	328	40	,	,	PUNCT
bracis-19058	328	41	belo	belo	PROPN
bracis-19058	328	42	horizonte	horizonte	PROPN
bracis-19058	328	43	,	,	PUNCT
bracis-19058	328	44	brazil	brazil	PROPN
bracis-19058	328	45	davi	davi	PROPN
bracis-19058	328	46	pedrosa	pedrosa	PROPN
bracis-19058	328	47	de	de	PROPN
bracis-19058	328	48	aguiar	aguiar	PROPN
bracis-19058	328	49	 	 	SPACE
bracis-19058	328	50	&	&	CCONJ
bracis-19058	328	51	 	 	SPACE
bracis-19058	328	52	fabricio	fabricio	PROPN
bracis-19058	328	53	murai	murai	PROPN
bracis-19058	328	54	authors	authors	PROPN
bracis-19058	328	55	davi	davi	PROPN
bracis-19058	328	56	pedrosa	pedrosa	PROPN
bracis-19058	328	57	de	de	PROPN
bracis-19058	328	58	aguiarview	aguiarview	PROPN
bracis-19058	328	59	author	author	NOUN
bracis-19058	328	60	publications	publication	NOUN
bracis-19058	328	61	search	search	NOUN
bracis-19058	328	62	author	author	NOUN
bracis-19058	328	63	on	on	ADP
bracis-19058	328	64	:	:	PUNCT
bracis-19058	328	65	pubmed	pubmed	PROPN
bracis-19058	328	66	 	 	SPACE
bracis-19058	328	67	google	google	PROPN
bracis-19058	328	68	scholar	scholar	PROPN
bracis-19058	328	69	fabricio	fabricio	PROPN
bracis-19058	328	70	muraiview	muraiview	PROPN
bracis-19058	328	71	author	author	NOUN
bracis-19058	328	72	publications	publication	NOUN
bracis-19058	328	73	search	search	NOUN
bracis-19058	328	74	author	author	NOUN
bracis-19058	328	75	on	on	ADP
bracis-19058	328	76	:	:	PUNCT
bracis-19058	328	77	pubmed	pubmed	PROPN
bracis-19058	328	78	 	 	SPACE
bracis-19058	328	79	google	google	PROPN
bracis-19058	328	80	scholar	scholar	NOUN
bracis-19058	328	81	corresponding	correspond	VERB
bracis-19058	328	82	author	author	NOUN
bracis-19058	328	83	correspondence	correspondence	NOUN
bracis-19058	328	84	to	to	ADP
bracis-19058	328	85	davi	davi	PROPN
bracis-19058	328	86	pedrosa	pedrosa	PROPN
bracis-19058	328	87	de	de	PROPN
bracis-19058	328	88	aguiar	aguiar	PROPN
bracis-19058	328	89	.	.	PUNCT
bracis-19058	329	1	editor	editor	NOUN
bracis-19058	329	2	information	information	NOUN
bracis-19058	329	3	editors	editor	NOUN
bracis-19058	329	4	and	and	CCONJ
bracis-19058	329	5	affiliations	affiliation	NOUN
bracis-19058	329	6	universidade	universidade	PROPN
bracis-19058	329	7	federal	federal	PROPN
bracis-19058	329	8	de	de	X
bracis-19058	329	9	sergipe	sergipe	PROPN
bracis-19058	329	10	,	,	PUNCT
bracis-19058	329	11	são	são	NOUN
bracis-19058	329	12	cristóvão	cristóvão	PROPN
bracis-19058	329	13	,	,	PUNCT
bracis-19058	329	14	brazil	brazil	PROPN
bracis-19058	329	15	andré	andré	PROPN
bracis-19058	329	16	britto	britto	PROPN
bracis-19058	329	17	universidade	universidade	PROPN
bracis-19058	329	18	de	de	PROPN
bracis-19058	329	19	são	são	PROPN
bracis-19058	329	20	paulo	paulo	PROPN
bracis-19058	329	21	,	,	PUNCT
bracis-19058	329	22	são	são	PROPN
bracis-19058	329	23	paulo	paulo	PROPN
bracis-19058	329	24	,	,	PUNCT
bracis-19058	329	25	brazil	brazil	PROPN
bracis-19058	329	26	karina	karina	PROPN
bracis-19058	329	27	valdivia	valdivia	PROPN
bracis-19058	329	28	delgado	delgado	VERB
bracis-19058	329	29	rights	right	NOUN
bracis-19058	329	30	and	and	CCONJ
bracis-19058	329	31	permissions	permission	NOUN
bracis-19058	329	32	reprints	reprint	NOUN
bracis-19058	329	33	and	and	CCONJ
bracis-19058	329	34	permissions	permission	VERB
bracis-19058	329	35	copyright	copyright	NOUN
bracis-19058	329	36	information	information	NOUN
bracis-19058	329	37	©	©	PROPN
bracis-19058	329	38	2021	2021	NUM
bracis-19058	329	39	springer	springer	NOUN
bracis-19058	329	40	nature	nature	NOUN
bracis-19058	329	41	switzerland	switzerland	PROPN
bracis-19058	329	42	ag	ag	PROPN
bracis-19058	329	43	about	about	ADP
bracis-19058	329	44	this	this	DET
bracis-19058	329	45	paper	paper	NOUN
bracis-19058	329	46	cite	cite	VERB
bracis-19058	329	47	this	this	DET
bracis-19058	329	48	paper	paper	NOUN
bracis-19058	329	49	de	de	X
bracis-19058	329	50	aguiar	aguiar	PROPN
bracis-19058	329	51	,	,	PUNCT
bracis-19058	329	52	d.p	d.p	PROPN
bracis-19058	329	53	.	.	PROPN
bracis-19058	329	54	,	,	PUNCT
bracis-19058	329	55	murai	murai	PROPN
bracis-19058	329	56	,	,	PUNCT
bracis-19058	329	57	f.	f.	PROPN
bracis-19058	329	58	(	(	PUNCT
bracis-19058	329	59	2021	2021	NUM
bracis-19058	329	60	)	)	PUNCT
bracis-19058	329	61	.	.	PUNCT
bracis-19058	330	1	encoding	encode	VERB
bracis-19058	330	2	physical	physical	ADJ
bracis-19058	330	3	conditioning	conditioning	NOUN
bracis-19058	330	4	from	from	ADP
bracis-19058	330	5	inertial	inertial	ADJ
bracis-19058	330	6	sensors	sensor	NOUN
bracis-19058	330	7	for	for	ADP
bracis-19058	330	8	multi	multi	ADJ
bracis-19058	330	9	-	-	ADJ
bracis-19058	330	10	step	step	ADJ
bracis-19058	330	11	heart	heart	NOUN
bracis-19058	330	12	rate	rate	NOUN
bracis-19058	330	13	estimation	estimation	NOUN
bracis-19058	330	14	.	.	PUNCT
bracis-19058	331	1	in	in	ADP
bracis-19058	331	2	:	:	PUNCT
bracis-19058	331	3	britto	britto	PROPN
bracis-19058	331	4	,	,	PUNCT
bracis-19058	331	5	a.	a.	PROPN
bracis-19058	331	6	,	,	PUNCT
bracis-19058	331	7	valdivia	valdivia	PROPN
bracis-19058	331	8	delgado	delgado	PROPN
bracis-19058	331	9	,	,	PUNCT
bracis-19058	331	10	k.	k.	PROPN
bracis-19058	331	11	(	(	PUNCT
bracis-19058	331	12	eds	eds	PROPN
bracis-19058	331	13	)	)	PUNCT
bracis-19058	331	14	intelligent	intelligent	ADJ
bracis-19058	331	15	systems	system	NOUN
bracis-19058	331	16	.	.	PUNCT
bracis-19058	332	1	bracis	bracis	PROPN
bracis-19058	332	2	2021	2021	NUM
bracis-19058	332	3	.	.	PUNCT
bracis-19058	333	1	lecture	lecture	NOUN
bracis-19058	333	2	notes	note	NOUN
bracis-19058	333	3	in	in	ADP
bracis-19058	333	4	computer	computer	NOUN
bracis-19058	333	5	science	science	NOUN
bracis-19058	333	6	(	(	PUNCT
bracis-19058	333	7	)	)	PUNCT
bracis-19058	333	8	,	,	PUNCT
bracis-19058	333	9	vol	vol	NOUN
bracis-19058	333	10	13074	13074	NUM
bracis-19058	333	11	.	.	PUNCT
bracis-19058	334	1	springer	springer	NOUN
bracis-19058	334	2	,	,	PUNCT
bracis-19058	334	3	cham	cham	PROPN
bracis-19058	334	4	.	.	PUNCT
bracis-19058	335	1	https://doi.org/10.1007/978-3-030-91699-2_5	https://doi.org/10.1007/978-3-030-91699-2_5	X
bracis-19058	335	2	download	download	NOUN
bracis-19058	335	3	citation	citation	NOUN
bracis-19058	335	4	.ris	.ris	PUNCT
bracis-19058	336	1	.enw	.enw	PROPN
bracis-19058	336	2	.bib	.bib	PUNCT
bracis-19058	337	1	doi	doi	PROPN
bracis-19058	337	2	:	:	PUNCT
bracis-19058	337	3	https://doi.org/10.1007/978-3-030-91699-2_5	https://doi.org/10.1007/978-3-030-91699-2_5	X
bracis-19058	337	4	published	publish	VERB
bracis-19058	337	5	:	:	PUNCT
bracis-19058	337	6	28	28	NUM
bracis-19058	337	7	november	november	PROPN
bracis-19058	337	8	2021	2021	NUM
bracis-19058	337	9	publisher	publisher	NOUN
bracis-19058	337	10	name	name	NOUN
bracis-19058	337	11	:	:	PUNCT
bracis-19058	337	12	springer	springer	NOUN
bracis-19058	337	13	,	,	PUNCT
bracis-19058	337	14	cham	cham	PROPN
bracis-19058	337	15	print	print	PROPN
bracis-19058	337	16	isbn	isbn	PROPN
bracis-19058	337	17	:	:	PUNCT
bracis-19058	337	18	978	978	NUM
bracis-19058	337	19	-	-	SYM
bracis-19058	337	20	3	3	NUM
bracis-19058	337	21	-	-	PUNCT
bracis-19058	337	22	030	030	NUM
bracis-19058	337	23	-	-	PUNCT
bracis-19058	337	24	91698	91698	NUM
bracis-19058	337	25	-	-	SYM
bracis-19058	337	26	5	5	NUM
bracis-19058	337	27	online	online	ADJ
bracis-19058	337	28	isbn	isbn	NOUN
bracis-19058	337	29	:	:	PUNCT
bracis-19058	337	30	978	978	NUM
bracis-19058	337	31	-	-	SYM
bracis-19058	337	32	3	3	NUM
bracis-19058	337	33	-	-	PUNCT
bracis-19058	337	34	030	030	NUM
bracis-19058	337	35	-	-	PUNCT
bracis-19058	337	36	91699	91699	NUM
bracis-19058	337	37	-	-	SYM
bracis-19058	337	38	2	2	NUM
bracis-19058	337	39	ebook	ebook	NOUN
bracis-19058	337	40	packages	package	NOUN
bracis-19058	337	41	:	:	PUNCT
bracis-19058	337	42	computer	computer	NOUN
bracis-19058	337	43	sciencecomputer	sciencecomputer	NOUN
bracis-19058	337	44	science	science	NOUN
bracis-19058	337	45	(	(	PUNCT
bracis-19058	337	46	r0	r0	NOUN
bracis-19058	337	47	)	)	PUNCT
bracis-19058	337	48	share	share	VERB
bracis-19058	337	49	this	this	DET
bracis-19058	337	50	paper	paper	NOUN
bracis-19058	337	51	anyone	anyone	PRON
bracis-19058	337	52	you	you	PRON
bracis-19058	337	53	share	share	VERB
bracis-19058	337	54	the	the	DET
bracis-19058	337	55	following	follow	VERB
bracis-19058	337	56	link	link	NOUN
bracis-19058	337	57	with	with	ADP
bracis-19058	337	58	will	will	AUX
bracis-19058	337	59	be	be	AUX
bracis-19058	337	60	able	able	ADJ
bracis-19058	337	61	to	to	PART
bracis-19058	337	62	read	read	VERB
bracis-19058	337	63	this	this	DET
bracis-19058	337	64	content	content	NOUN
bracis-19058	337	65	:	:	PUNCT
bracis-19058	337	66	get	get	VERB
bracis-19058	337	67	shareable	shareable	ADJ
bracis-19058	337	68	linksorry	linksorry	NOUN
bracis-19058	337	69	,	,	PUNCT
bracis-19058	337	70	a	a	DET
bracis-19058	337	71	shareable	shareable	ADJ
bracis-19058	337	72	link	link	NOUN
bracis-19058	337	73	is	be	AUX
bracis-19058	337	74	not	not	PART
bracis-19058	337	75	currently	currently	ADV
bracis-19058	337	76	available	available	ADJ
bracis-19058	337	77	for	for	ADP
bracis-19058	337	78	this	this	DET
bracis-19058	337	79	article	article	NOUN
bracis-19058	337	80	.	.	PUNCT
bracis-19058	338	1	copy	copy	VERB
bracis-19058	338	2	shareable	shareable	ADJ
bracis-19058	338	3	link	link	NOUN
bracis-19058	338	4	to	to	PART
bracis-19058	338	5	clipboard	clipboard	NOUN
bracis-19058	338	6	provided	provide	VERB
bracis-19058	338	7	by	by	ADP
bracis-19058	338	8	the	the	DET
bracis-19058	338	9	springer	springer	NOUN
bracis-19058	338	10	nature	nature	PROPN
bracis-19058	338	11	sharedit	sharedit	PROPN
bracis-19058	338	12	content	content	NOUN
bracis-19058	338	13	-	-	PUNCT
bracis-19058	338	14	sharing	share	VERB
bracis-19058	338	15	initiative	initiative	NOUN
bracis-19058	338	16	keywords	keyword	VERB
bracis-19058	338	17	heart	heart	NOUN
bracis-19058	338	18	rate	rate	NOUN
bracis-19058	338	19	estimation	estimation	NOUN
bracis-19058	338	20	imu	imu	NOUN
bracis-19058	338	21	sensors	sensor	NOUN
bracis-19058	338	22	photoplethysmography	photoplethysmography	NOUN
bracis-19058	338	23	neural	neural	ADJ
bracis-19058	338	24	networks	network	NOUN
bracis-19058	338	25	publish	publish	VERB
bracis-19058	338	26	with	with	ADP
bracis-19058	338	27	us	us	PROPN
bracis-19058	338	28	policies	policy	NOUN
bracis-19058	338	29	and	and	CCONJ
bracis-19058	338	30	ethics	ethic	NOUN
bracis-19058	338	31	search	search	NOUN
bracis-19058	338	32	search	search	NOUN
bracis-19058	338	33	by	by	ADP
bracis-19058	338	34	keyword	keyword	NOUN
bracis-19058	338	35	or	or	CCONJ
bracis-19058	338	36	author	author	NOUN
bracis-19058	338	37	search	search	NOUN
bracis-19058	338	38	navigation	navigation	NOUN
bracis-19058	338	39	find	find	VERB
bracis-19058	338	40	a	a	DET
bracis-19058	338	41	journal	journal	NOUN
bracis-19058	338	42	publish	publish	VERB
bracis-19058	338	43	with	with	ADP
bracis-19058	338	44	us	we	PRON
bracis-19058	338	45	track	track	VERB
bracis-19058	338	46	your	your	PRON
bracis-19058	338	47	research	research	NOUN
bracis-19058	338	48	discover	discover	VERB
bracis-19058	338	49	content	content	NOUN
bracis-19058	338	50	journals	journal	NOUN
bracis-19058	338	51	a	a	DET
bracis-19058	338	52	-	-	PUNCT
bracis-19058	338	53	z	z	NOUN
bracis-19058	338	54	books	book	NOUN
bracis-19058	338	55	a	a	DET
bracis-19058	338	56	-	-	PUNCT
bracis-19058	338	57	z	z	NOUN
bracis-19058	338	58	publish	publish	NOUN
bracis-19058	338	59	with	with	ADP
bracis-19058	338	60	us	us	PROPN
bracis-19058	338	61	journal	journal	PROPN
bracis-19058	338	62	finder	finder	PROPN
bracis-19058	338	63	publish	publish	VERB
bracis-19058	338	64	your	your	PRON
bracis-19058	338	65	research	research	NOUN
bracis-19058	338	66	language	language	NOUN
bracis-19058	338	67	editing	edit	VERB
bracis-19058	338	68	open	open	ADJ
bracis-19058	338	69	access	access	NOUN
bracis-19058	338	70	publishing	publishing	NOUN
bracis-19058	338	71	products	product	NOUN
bracis-19058	338	72	and	and	CCONJ
bracis-19058	338	73	services	service	NOUN
bracis-19058	338	74	our	our	PRON
bracis-19058	338	75	products	product	NOUN
bracis-19058	338	76	librarians	librarian	VERB
bracis-19058	338	77	societies	society	NOUN
bracis-19058	338	78	partners	partner	NOUN
bracis-19058	338	79	and	and	CCONJ
bracis-19058	338	80	advertisers	advertiser	NOUN
bracis-19058	338	81	our	our	PRON
bracis-19058	338	82	brands	brand	NOUN
bracis-19058	338	83	springer	springer	NOUN
bracis-19058	338	84	nature	nature	PROPN
bracis-19058	338	85	portfolio	portfolio	PROPN
bracis-19058	338	86	bmc	bmc	PROPN
bracis-19058	338	87	palgrave	palgrave	PROPN
bracis-19058	338	88	macmillan	macmillan	PROPN
bracis-19058	338	89	apress	apress	PROPN
bracis-19058	338	90	discover	discover	VERB
bracis-19058	338	91	your	your	PRON
bracis-19058	338	92	privacy	privacy	NOUN
bracis-19058	338	93	choices	choice	NOUN
bracis-19058	338	94	/	/	SYM
bracis-19058	338	95	manage	manage	NOUN
bracis-19058	338	96	cookies	cookie	NOUN
bracis-19058	338	97	your	your	PRON
bracis-19058	338	98	us	us	PROPN
bracis-19058	339	1	state	state	NOUN
bracis-19058	339	2	privacy	privacy	NOUN
bracis-19058	339	3	rights	right	NOUN
bracis-19058	339	4	accessibility	accessibility	NOUN
bracis-19058	339	5	statement	statement	NOUN
bracis-19058	339	6	terms	term	NOUN
bracis-19058	339	7	and	and	CCONJ
bracis-19058	339	8	conditions	condition	NOUN
bracis-19058	339	9	privacy	privacy	NOUN
bracis-19058	339	10	policy	policy	NOUN
bracis-19058	339	11	help	help	NOUN
bracis-19058	339	12	and	and	CCONJ
bracis-19058	339	13	support	support	VERB
bracis-19058	339	14	legal	legal	ADJ
bracis-19058	339	15	notice	notice	NOUN
bracis-19058	339	16	cancel	cancel	VERB
bracis-19058	339	17	contracts	contract	NOUN
bracis-19058	339	18	here	here	ADV
bracis-19058	339	19	129.74.145.123	129.74.145.123	NUM
bracis-19058	339	20	hesburgh	hesburgh	PROPN
bracis-19058	339	21	library	library	PROPN
bracis-19058	339	22	er	er	INTJ
bracis-19058	339	23	unit	unit	NOUN
bracis-19058	339	24	(	(	PUNCT
bracis-19058	339	25	3005732405	3005732405	NUM
bracis-19058	339	26	)	)	PUNCT
bracis-19058	339	27	northeast	northeast	ADJ
bracis-19058	339	28	research	research	NOUN
bracis-19058	339	29	libraries	library	NOUN
bracis-19058	339	30	(	(	PUNCT
bracis-19058	339	31	nerl	nerl	PROPN
bracis-19058	339	32	)	)	PUNCT
bracis-19058	339	33	(	(	PUNCT
bracis-19058	339	34	8200828607	8200828607	NUM
bracis-19058	339	35	)	)	PUNCT
bracis-19058	339	36	nerl	nerl	VERB
bracis-19058	339	37	ta	ta	X
bracis-19058	339	38	account	account	NOUN
bracis-19058	339	39	(	(	PUNCT
bracis-19058	339	40	3006206169	3006206169	NUM
bracis-19058	339	41	)	)	PUNCT
bracis-19058	339	42	university	university	NOUN
bracis-19058	339	43	of	of	ADP
bracis-19058	339	44	notre	notre	PROPN
bracis-19058	339	45	dame	dame	PROPN
bracis-19058	339	46	hesburgh	hesburgh	PROPN
bracis-19058	339	47	library	library	NOUN
bracis-19058	339	48	(	(	PUNCT
bracis-19058	339	49	3000184373	3000184373	NUM
bracis-19058	339	50	)	)	PUNCT
bracis-19058	340	1	©	©	ADP
bracis-19058	340	2	2025	2025	NUM
bracis-19058	340	3	springer	springer	NOUN
bracis-19058	340	4	nature	nature	NOUN