id	sid	tid	token	lemma	pos
ajst-19145	1	1	academic	academic	ADJ
ajst-19145	1	2	journal	journal	NOUN
ajst-19145	1	3	of	of	ADP
ajst-19145	1	4	science	science	NOUN
ajst-19145	1	5	and	and	CCONJ
ajst-19145	1	6	technology	technology	NOUN
ajst-19145	1	7	issn	issn	NOUN
ajst-19145	1	8	:	:	PUNCT
ajst-19145	1	9	2771	2771	NUM
ajst-19145	1	10	-	-	SYM
ajst-19145	1	11	3032	3032	NUM
ajst-19145	1	12	|	|	NOUN
ajst-19145	1	13	vol	vol	NOUN
ajst-19145	1	14	.	.	PROPN
ajst-19145	2	1	10	10	NUM
ajst-19145	2	2	,	,	PUNCT
ajst-19145	2	3	no	no	INTJ
ajst-19145	2	4	.	.	NOUN
ajst-19145	2	5	1	1	NUM
ajst-19145	2	6	,	,	PUNCT
ajst-19145	2	7	2024	2024	NUM
ajst-19145	2	8	50	50	NUM
ajst-19145	2	9	deep	deep	ADJ
ajst-19145	2	10	learning‐based	learning‐based	ADJ
ajst-19145	2	11	recognition	recognition	NOUN
ajst-19145	2	12	and	and	CCONJ
ajst-19145	2	13	visualization	visualization	NOUN
ajst-19145	2	14	of	of	ADP
ajst-19145	2	15	human	human	ADJ
ajst-19145	2	16	motion	motion	NOUN
ajst-19145	2	17	behavior	behavior	NOUN
ajst-19145	2	18	guoqing	guoqe	VERB
ajst-19145	2	19	cai1	cai1	PROPN
ajst-19145	2	20	,	,	PUNCT
ajst-19145	2	21	*	*	PROPN
ajst-19145	2	22	,	,	PUNCT
ajst-19145	2	23	quan	quan	PROPN
ajst-19145	2	24	zhang2	zhang2	PROPN
ajst-19145	2	25	,	,	PUNCT
ajst-19145	2	26	beichang	beichang	PROPN
ajst-19145	2	27	liu3	liu3	PROPN
ajst-19145	2	28	,	,	PUNCT
ajst-19145	2	29	zhengyu	zhengyu	PROPN
ajst-19145	2	30	jin4	jin4	PROPN
ajst-19145	2	31	,	,	PUNCT
ajst-19145	2	32	jili	jili	NOUN
ajst-19145	2	33	qian5	qian5	PROPN
ajst-19145	2	34	1	1	NUM
ajst-19145	2	35	information	information	NOUN
ajst-19145	2	36	studies	study	NOUN
ajst-19145	2	37	,	,	PUNCT
ajst-19145	2	38	trine	trine	PROPN
ajst-19145	2	39	university	university	NOUN
ajst-19145	2	40	,	,	PUNCT
ajst-19145	2	41	phoenix	phoenix	PROPN
ajst-19145	2	42	az	az	PROPN
ajst-19145	2	43	,	,	PUNCT
ajst-19145	2	44	usa	usa	PROPN
ajst-19145	2	45	2	2	NUM
ajst-19145	2	46	information	information	NOUN
ajst-19145	2	47	studies	study	NOUN
ajst-19145	2	48	,	,	PUNCT
ajst-19145	2	49	trine	trine	PROPN
ajst-19145	2	50	university	university	NOUN
ajst-19145	2	51	,	,	PUNCT
ajst-19145	2	52	phoenix	phoenix	PROPN
ajst-19145	2	53	az	az	PROPN
ajst-19145	2	54	,	,	PUNCT
ajst-19145	2	55	usa	usa	PROPN
ajst-19145	2	56	3	3	NUM
ajst-19145	2	57	information	information	NOUN
ajst-19145	2	58	studies	study	NOUN
ajst-19145	2	59	,	,	PUNCT
ajst-19145	2	60	trine	trine	PROPN
ajst-19145	2	61	university	university	NOUN
ajst-19145	2	62	,	,	PUNCT
ajst-19145	2	63	salt	salt	NOUN
ajst-19145	2	64	lake	lake	PROPN
ajst-19145	2	65	city	city	PROPN
ajst-19145	2	66	ut	ut	PROPN
ajst-19145	2	67	,	,	PUNCT
ajst-19145	2	68	usa	usa	PROPN
ajst-19145	2	69	4	4	NUM
ajst-19145	2	70	informatics	informatic	NOUN
ajst-19145	2	71	,	,	PUNCT
ajst-19145	2	72	univeristy	univeristy	PROPN
ajst-19145	2	73	of	of	ADP
ajst-19145	2	74	california	california	PROPN
ajst-19145	2	75	,	,	PUNCT
ajst-19145	2	76	irvine	irvine	PROPN
ajst-19145	2	77	,	,	PUNCT
ajst-19145	2	78	ca	ca	PROPN
ajst-19145	2	79	,	,	PUNCT
ajst-19145	2	80	usa	usa	PROPN
ajst-19145	2	81	5	5	NUM
ajst-19145	2	82	information	information	NOUN
ajst-19145	2	83	studies	study	NOUN
ajst-19145	2	84	,	,	PUNCT
ajst-19145	2	85	trine	trine	PROPN
ajst-19145	2	86	university	university	NOUN
ajst-19145	2	87	,	,	PUNCT
ajst-19145	2	88	phoenix	phoenix	PROPN
ajst-19145	2	89	az	az	PROPN
ajst-19145	2	90	,	,	PUNCT
ajst-19145	2	91	usa	usa	PROPN
ajst-19145	2	92	*	*	PUNCT
ajst-19145	2	93	corresponding	correspond	VERB
ajst-19145	2	94	author	author	NOUN
ajst-19145	2	95	e	e	NOUN
ajst-19145	2	96	-	-	NOUN
ajst-19145	2	97	mail	mail	NOUN
ajst-19145	2	98	:	:	PUNCT
ajst-19145	2	99	cailiveinusa@gmail.com	cailiveinusa@gmail.com	X
ajst-19145	3	1	abstract	abstract	NOUN
ajst-19145	3	2	:	:	PUNCT
ajst-19145	3	3	human	human	ADJ
ajst-19145	3	4	behavior	behavior	NOUN
ajst-19145	3	5	recognition	recognition	NOUN
ajst-19145	3	6	refers	refer	VERB
ajst-19145	3	7	to	to	ADP
ajst-19145	3	8	the	the	DET
ajst-19145	3	9	classification	classification	NOUN
ajst-19145	3	10	task	task	NOUN
ajst-19145	3	11	of	of	ADP
ajst-19145	3	12	identifying	identify	VERB
ajst-19145	3	13	the	the	DET
ajst-19145	3	14	specific	specific	ADJ
ajst-19145	3	15	actions	action	NOUN
ajst-19145	3	16	of	of	ADP
ajst-19145	3	17	human	human	ADJ
ajst-19145	3	18	characters	character	NOUN
ajst-19145	3	19	based	base	VERB
ajst-19145	3	20	on	on	ADP
ajst-19145	3	21	the	the	DET
ajst-19145	3	22	characteristics	characteristic	NOUN
ajst-19145	3	23	of	of	ADP
ajst-19145	3	24	human	human	ADJ
ajst-19145	3	25	body	body	NOUN
ajst-19145	3	26	and	and	CCONJ
ajst-19145	3	27	the	the	DET
ajst-19145	3	28	completed	complete	VERB
ajst-19145	3	29	actions	action	NOUN
ajst-19145	3	30	through	through	ADP
ajst-19145	3	31	a	a	DET
ajst-19145	3	32	specific	specific	ADJ
ajst-19145	3	33	algorithm	algorithm	NOUN
ajst-19145	3	34	.	.	PUNCT
ajst-19145	4	1	it	it	PRON
ajst-19145	4	2	has	have	VERB
ajst-19145	4	3	a	a	DET
ajst-19145	4	4	wide	wide	ADJ
ajst-19145	4	5	range	range	NOUN
ajst-19145	4	6	of	of	ADP
ajst-19145	4	7	applications	application	NOUN
ajst-19145	4	8	in	in	ADP
ajst-19145	4	9	intelligent	intelligent	ADJ
ajst-19145	4	10	surveillance	surveillance	NOUN
ajst-19145	4	11	,	,	PUNCT
ajst-19145	4	12	video	video	NOUN
ajst-19145	4	13	retrieval	retrieval	NOUN
ajst-19145	4	14	and	and	CCONJ
ajst-19145	4	15	so	so	ADV
ajst-19145	4	16	on	on	ADV
ajst-19145	4	17	.	.	PUNCT
ajst-19145	5	1	the	the	DET
ajst-19145	5	2	main	main	ADJ
ajst-19145	5	3	challenge	challenge	NOUN
ajst-19145	5	4	in	in	ADP
ajst-19145	5	5	this	this	DET
ajst-19145	5	6	direction	direction	NOUN
ajst-19145	5	7	is	be	AUX
ajst-19145	5	8	to	to	PART
ajst-19145	5	9	accurately	accurately	ADV
ajst-19145	5	10	extract	extract	VERB
ajst-19145	5	11	the	the	DET
ajst-19145	5	12	semantic	semantic	ADJ
ajst-19145	5	13	information	information	NOUN
ajst-19145	5	14	of	of	ADP
ajst-19145	5	15	each	each	DET
ajst-19145	5	16	behavior	behavior	NOUN
ajst-19145	5	17	to	to	PART
ajst-19145	5	18	describe	describe	VERB
ajst-19145	5	19	its	its	PRON
ajst-19145	5	20	dynamic	dynamic	ADJ
ajst-19145	5	21	changes	change	NOUN
ajst-19145	5	22	in	in	ADP
ajst-19145	5	23	space	space	NOUN
ajst-19145	5	24	and	and	CCONJ
ajst-19145	5	25	time	time	NOUN
ajst-19145	5	26	.	.	PUNCT
ajst-19145	6	1	therefore	therefore	ADV
ajst-19145	6	2	,	,	PUNCT
ajst-19145	6	3	this	this	DET
ajst-19145	6	4	article	article	NOUN
ajst-19145	6	5	introduces	introduce	VERB
ajst-19145	6	6	the	the	DET
ajst-19145	6	7	latest	late	ADJ
ajst-19145	6	8	research	research	NOUN
ajst-19145	6	9	progress	progress	NOUN
ajst-19145	6	10	in	in	ADP
ajst-19145	6	11	the	the	DET
ajst-19145	6	12	field	field	NOUN
ajst-19145	6	13	of	of	ADP
ajst-19145	6	14	human	human	ADJ
ajst-19145	6	15	behavior	behavior	NOUN
ajst-19145	6	16	recognition	recognition	NOUN
ajst-19145	6	17	.	.	PUNCT
ajst-19145	7	1	through	through	ADP
ajst-19145	7	2	deep	deep	ADJ
ajst-19145	7	3	learning	learning	NOUN
ajst-19145	7	4	techniques	technique	NOUN
ajst-19145	7	5	,	,	PUNCT
ajst-19145	7	6	particularly	particularly	ADV
ajst-19145	7	7	convolutional	convolutional	ADJ
ajst-19145	7	8	neural	neural	ADJ
ajst-19145	7	9	networks	network	NOUN
ajst-19145	7	10	and	and	CCONJ
ajst-19145	7	11	recurrent	recurrent	ADJ
ajst-19145	7	12	neural	neural	ADJ
ajst-19145	7	13	networks	network	NOUN
ajst-19145	7	14	,	,	PUNCT
ajst-19145	7	15	human	human	ADJ
ajst-19145	7	16	movements	movement	NOUN
ajst-19145	7	17	in	in	ADP
ajst-19145	7	18	video	video	NOUN
ajst-19145	7	19	data	datum	NOUN
ajst-19145	7	20	can	can	AUX
ajst-19145	7	21	be	be	AUX
ajst-19145	7	22	effectively	effectively	ADV
ajst-19145	7	23	identified	identify	VERB
ajst-19145	7	24	.	.	PUNCT
ajst-19145	8	1	however	however	ADV
ajst-19145	8	2	,	,	PUNCT
ajst-19145	8	3	deep	deep	ADJ
ajst-19145	8	4	learning	learning	NOUN
ajst-19145	8	5	models	model	NOUN
ajst-19145	8	6	lack	lack	VERB
ajst-19145	8	7	interpretability	interpretability	NOUN
ajst-19145	8	8	,	,	PUNCT
ajst-19145	8	9	which	which	PRON
ajst-19145	8	10	can	can	AUX
ajst-19145	8	11	be	be	AUX
ajst-19145	8	12	a	a	DET
ajst-19145	8	13	challenge	challenge	NOUN
ajst-19145	8	14	in	in	ADP
ajst-19145	8	15	practical	practical	ADJ
ajst-19145	8	16	applications	application	NOUN
ajst-19145	8	17	.	.	PUNCT
ajst-19145	9	1	the	the	DET
ajst-19145	9	2	researchers	researcher	NOUN
ajst-19145	9	3	also	also	ADV
ajst-19145	9	4	introduce	introduce	VERB
ajst-19145	9	5	the	the	DET
ajst-19145	9	6	application	application	NOUN
ajst-19145	9	7	of	of	ADP
ajst-19145	9	8	traditional	traditional	ADJ
ajst-19145	9	9	methods	method	NOUN
ajst-19145	9	10	and	and	CCONJ
ajst-19145	9	11	deep	deep	ADJ
ajst-19145	9	12	learning	learning	NOUN
ajst-19145	9	13	-	-	PUNCT
ajst-19145	9	14	based	base	VERB
ajst-19145	9	15	methods	method	NOUN
ajst-19145	9	16	to	to	ADP
ajst-19145	9	17	human	human	ADJ
ajst-19145	9	18	behavior	behavior	NOUN
ajst-19145	9	19	recognition	recognition	NOUN
ajst-19145	9	20	,	,	PUNCT
ajst-19145	9	21	and	and	CCONJ
ajst-19145	9	22	explore	explore	VERB
ajst-19145	9	23	the	the	DET
ajst-19145	9	24	advantages	advantage	NOUN
ajst-19145	9	25	of	of	ADP
ajst-19145	9	26	deep	deep	ADJ
ajst-19145	9	27	learning	learning	NOUN
ajst-19145	9	28	models	model	NOUN
ajst-19145	9	29	in	in	ADP
ajst-19145	9	30	processing	process	VERB
ajst-19145	9	31	multi	multi	ADJ
ajst-19145	9	32	-	-	ADJ
ajst-19145	9	33	time	time	NOUN
ajst-19145	9	34	scale	scale	NOUN
ajst-19145	9	35	information	information	NOUN
ajst-19145	9	36	and	and	CCONJ
ajst-19145	9	37	introducing	introduce	VERB
ajst-19145	9	38	attention	attention	NOUN
ajst-19145	9	39	mechanisms	mechanism	NOUN
ajst-19145	9	40	.	.	PUNCT
ajst-19145	10	1	finally	finally	ADV
ajst-19145	10	2	,	,	PUNCT
ajst-19145	10	3	the	the	DET
ajst-19145	10	4	paper	paper	NOUN
ajst-19145	10	5	summarizes	summarize	VERB
ajst-19145	10	6	the	the	DET
ajst-19145	10	7	potential	potential	NOUN
ajst-19145	10	8	of	of	ADP
ajst-19145	10	9	deep	deep	ADJ
ajst-19145	10	10	learning	learning	NOUN
ajst-19145	10	11	technology	technology	NOUN
ajst-19145	10	12	combined	combine	VERB
ajst-19145	10	13	with	with	ADP
ajst-19145	10	14	multimodal	multimodal	ADJ
ajst-19145	10	15	data	datum	NOUN
ajst-19145	10	16	in	in	ADP
ajst-19145	10	17	behavioral	behavioral	ADJ
ajst-19145	10	18	analysis	analysis	NOUN
ajst-19145	10	19	,	,	PUNCT
ajst-19145	10	20	and	and	CCONJ
ajst-19145	10	21	provides	provide	VERB
ajst-19145	10	22	prospects	prospect	NOUN
ajst-19145	10	23	for	for	ADP
ajst-19145	10	24	applications	application	NOUN
ajst-19145	10	25	in	in	ADP
ajst-19145	10	26	smart	smart	ADJ
ajst-19145	10	27	fitness	fitness	NOUN
ajst-19145	10	28	,	,	PUNCT
ajst-19145	10	29	health	health	NOUN
ajst-19145	10	30	care	care	NOUN
ajst-19145	10	31	and	and	CCONJ
ajst-19145	10	32	other	other	ADJ
ajst-19145	10	33	fields	field	NOUN
ajst-19145	10	34	.	.	PUNCT
ajst-19145	11	1	keywords	keyword	NOUN
ajst-19145	11	2	:	:	PUNCT
ajst-19145	11	3	deep	deep	ADJ
ajst-19145	11	4	learning	learning	NOUN
ajst-19145	11	5	;	;	PUNCT
ajst-19145	11	6	human	human	ADJ
ajst-19145	11	7	movement	movement	NOUN
ajst-19145	11	8	behavior	behavior	NOUN
ajst-19145	11	9	;	;	PUNCT
ajst-19145	11	10	visual	visual	ADJ
ajst-19145	11	11	recognition	recognition	NOUN
ajst-19145	11	12	;	;	PUNCT
ajst-19145	11	13	rgb	rgb	PROPN
ajst-19145	11	14	recognition	recognition	PROPN
ajst-19145	11	15	.	.	PUNCT
ajst-19145	12	1	1	1	X
ajst-19145	12	2	.	.	X
ajst-19145	12	3	introduction	introduction	NOUN
ajst-19145	12	4	the	the	DET
ajst-19145	12	5	research	research	NOUN
ajst-19145	12	6	goal	goal	NOUN
ajst-19145	12	7	of	of	ADP
ajst-19145	12	8	human	human	ADJ
ajst-19145	12	9	behavior	behavior	NOUN
ajst-19145	12	10	recognition	recognition	NOUN
ajst-19145	12	11	is	be	AUX
ajst-19145	12	12	to	to	PART
ajst-19145	12	13	develop	develop	VERB
ajst-19145	12	14	a	a	DET
ajst-19145	12	15	visual	visual	ADJ
ajst-19145	12	16	system	system	NOUN
ajst-19145	12	17	that	that	PRON
ajst-19145	12	18	mimics	mimic	VERB
ajst-19145	12	19	human	human	ADJ
ajst-19145	12	20	behavior	behavior	NOUN
ajst-19145	12	21	to	to	PART
ajst-19145	12	22	understand	understand	VERB
ajst-19145	12	23	and	and	CCONJ
ajst-19145	12	24	describe	describe	VERB
ajst-19145	12	25	human	human	ADJ
ajst-19145	12	26	behavior	behavior	NOUN
ajst-19145	12	27	in	in	ADP
ajst-19145	12	28	a	a	DET
ajst-19145	12	29	given	give	VERB
ajst-19145	12	30	scene	scene	NOUN
ajst-19145	12	31	through	through	ADP
ajst-19145	12	32	the	the	DET
ajst-19145	12	33	recognition	recognition	NOUN
ajst-19145	12	34	of	of	ADP
ajst-19145	12	35	human	human	ADJ
ajst-19145	12	36	behavior	behavior	NOUN
ajst-19145	12	37	,	,	PUNCT
ajst-19145	12	38	which	which	PRON
ajst-19145	12	39	has	have	AUX
ajst-19145	12	40	been	be	AUX
ajst-19145	12	41	widely	widely	ADV
ajst-19145	12	42	used	use	VERB
ajst-19145	12	43	in	in	ADP
ajst-19145	12	44	intelligent	intelligent	ADJ
ajst-19145	12	45	security	security	NOUN
ajst-19145	12	46	,	,	PUNCT
ajst-19145	12	47	virtual	virtual	ADJ
ajst-19145	12	48	reality	reality	NOUN
ajst-19145	12	49	,	,	PUNCT
ajst-19145	12	50	humancomputer	humancomputer	NOUN
ajst-19145	12	51	interaction	interaction	NOUN
ajst-19145	12	52	and	and	CCONJ
ajst-19145	12	53	other	other	ADJ
ajst-19145	12	54	fields	field	NOUN
ajst-19145	12	55	and	and	CCONJ
ajst-19145	12	56	has	have	AUX
ajst-19145	12	57	obtained	obtain	VERB
ajst-19145	12	58	high	high	ADJ
ajst-19145	12	59	commercial	commercial	ADJ
ajst-19145	12	60	value	value	NOUN
ajst-19145	12	61	.	.	PUNCT
ajst-19145	13	1	in	in	ADP
ajst-19145	13	2	recent	recent	ADJ
ajst-19145	13	3	years	year	NOUN
ajst-19145	13	4	,	,	PUNCT
ajst-19145	13	5	with	with	ADP
ajst-19145	13	6	the	the	DET
ajst-19145	13	7	further	further	ADJ
ajst-19145	13	8	research	research	NOUN
ajst-19145	13	9	of	of	ADP
ajst-19145	13	10	low	low	ADJ
ajst-19145	13	11	-	-	PUNCT
ajst-19145	13	12	cost	cost	NOUN
ajst-19145	13	13	wearable	wearable	ADJ
ajst-19145	13	14	sensors	sensor	NOUN
ajst-19145	13	15	and	and	CCONJ
ajst-19145	13	16	depth	depth	NOUN
ajst-19145	13	17	cameras	camera	NOUN
ajst-19145	13	18	,	,	PUNCT
ajst-19145	13	19	the	the	DET
ajst-19145	13	20	type	type	NOUN
ajst-19145	13	21	of	of	ADP
ajst-19145	13	22	data	datum	NOUN
ajst-19145	13	23	used	use	VERB
ajst-19145	13	24	for	for	ADP
ajst-19145	13	25	human	human	ADJ
ajst-19145	13	26	behavior	behavior	NOUN
ajst-19145	13	27	recognition	recognition	NOUN
ajst-19145	13	28	research	research	NOUN
ajst-19145	13	29	is	be	AUX
ajst-19145	13	30	not	not	PART
ajst-19145	13	31	limited	limit	VERB
ajst-19145	13	32	to	to	ADP
ajst-19145	13	33	rgb	rgb	PROPN
ajst-19145	13	34	,	,	PUNCT
ajst-19145	13	35	but	but	CCONJ
ajst-19145	13	36	also	also	ADV
ajst-19145	13	37	new	new	ADJ
ajst-19145	13	38	modes	mode	NOUN
ajst-19145	13	39	of	of	ADP
ajst-19145	13	40	data	datum	NOUN
ajst-19145	13	41	such	such	ADJ
ajst-19145	13	42	as	as	ADP
ajst-19145	13	43	deep	deep	ADJ
ajst-19145	13	44	bone	bone	NOUN
ajst-19145	13	45	and	and	CCONJ
ajst-19145	13	46	infrared	infrared	ADJ
ajst-19145	13	47	data	datum	NOUN
ajst-19145	13	48	.	.	PUNCT
ajst-19145	14	1	according	accord	VERB
ajst-19145	14	2	to	to	ADP
ajst-19145	14	3	the	the	DET
ajst-19145	14	4	type	type	NOUN
ajst-19145	14	5	of	of	ADP
ajst-19145	14	6	data	datum	NOUN
ajst-19145	14	7	,	,	PUNCT
ajst-19145	14	8	the	the	DET
ajst-19145	14	9	current	current	ADJ
ajst-19145	14	10	popular	popular	ADJ
ajst-19145	14	11	human	human	ADJ
ajst-19145	14	12	behavior	behavior	NOUN
ajst-19145	14	13	recognition	recognition	NOUN
ajst-19145	14	14	research	research	NOUN
ajst-19145	14	15	methods	method	NOUN
ajst-19145	14	16	include	include	VERB
ajst-19145	14	17	rgb	rgb	PROPN
ajst-19145	14	18	based	base	VERB
ajst-19145	14	19	behavior	behavior	NOUN
ajst-19145	14	20	recognition	recognition	NOUN
ajst-19145	14	21	and	and	CCONJ
ajst-19145	14	22	bone	bone	NOUN
ajst-19145	14	23	based	base	VERB
ajst-19145	14	24	behavior	behavior	NOUN
ajst-19145	14	25	recognition	recognition	NOUN
ajst-19145	14	26	,	,	PUNCT
ajst-19145	14	27	both	both	PRON
ajst-19145	14	28	of	of	ADP
ajst-19145	14	29	which	which	PRON
ajst-19145	14	30	are	be	AUX
ajst-19145	14	31	hot	hot	ADJ
ajst-19145	14	32	directions	direction	NOUN
ajst-19145	14	33	in	in	ADP
ajst-19145	14	34	the	the	DET
ajst-19145	14	35	field.recognition	field.recognition	NOUN
ajst-19145	14	36	plays	play	VERB
ajst-19145	14	37	a	a	DET
ajst-19145	14	38	vital	vital	ADJ
ajst-19145	14	39	role	role	NOUN
ajst-19145	14	40	across	across	ADP
ajst-19145	14	41	multiple	multiple	ADJ
ajst-19145	14	42	domains	domain	NOUN
ajst-19145	14	43	,	,	PUNCT
ajst-19145	14	44	including	include	VERB
ajst-19145	14	45	surveillance	surveillance	NOUN
ajst-19145	14	46	,	,	PUNCT
ajst-19145	14	47	robotics	robotic	NOUN
ajst-19145	14	48	,	,	PUNCT
ajst-19145	14	49	and	and	CCONJ
ajst-19145	14	50	healthcare	healthcare	PROPN
ajst-19145	14	51	.	.	PUNCT
ajst-19145	15	1	it	it	PRON
ajst-19145	15	2	involves	involve	VERB
ajst-19145	15	3	the	the	DET
ajst-19145	15	4	automatic	automatic	ADJ
ajst-19145	15	5	identification	identification	NOUN
ajst-19145	15	6	and	and	CCONJ
ajst-19145	15	7	classification	classification	NOUN
ajst-19145	15	8	of	of	ADP
ajst-19145	15	9	human	human	ADJ
ajst-19145	15	10	actions	action	NOUN
ajst-19145	15	11	from	from	ADP
ajst-19145	15	12	video	video	NOUN
ajst-19145	15	13	data	datum	NOUN
ajst-19145	15	14	,	,	PUNCT
ajst-19145	15	15	enabling	enable	VERB
ajst-19145	15	16	applications	application	NOUN
ajst-19145	15	17	such	such	ADJ
ajst-19145	15	18	as	as	ADP
ajst-19145	15	19	identifying	identify	VERB
ajst-19145	15	20	suspicious	suspicious	ADJ
ajst-19145	15	21	behavior	behavior	NOUN
ajst-19145	15	22	in	in	ADP
ajst-19145	15	23	security	security	NOUN
ajst-19145	15	24	footage	footage	NOUN
ajst-19145	15	25	,	,	PUNCT
ajst-19145	15	26	guiding	guide	VERB
ajst-19145	15	27	robotic	robotic	ADJ
ajst-19145	15	28	movements	movement	NOUN
ajst-19145	15	29	,	,	PUNCT
ajst-19145	15	30	and	and	CCONJ
ajst-19145	15	31	monitoring	monitor	VERB
ajst-19145	15	32	patient	patient	ADJ
ajst-19145	15	33	movements	movement	NOUN
ajst-19145	15	34	for	for	ADP
ajst-19145	15	35	healthcare	healthcare	NOUN
ajst-19145	15	36	purposes.deep	purposes.deep	PROPN
ajst-19145	15	37	learning	learn	VERB
ajst-19145	15	38	models	model	NOUN
ajst-19145	15	39	have	have	AUX
ajst-19145	15	40	revolutionized	revolutionize	VERB
ajst-19145	15	41	human	human	ADJ
ajst-19145	15	42	action	action	NOUN
ajst-19145	15	43	recognition	recognition	NOUN
ajst-19145	15	44	by	by	ADP
ajst-19145	15	45	effectively	effectively	ADV
ajst-19145	15	46	capturing	capture	VERB
ajst-19145	15	47	temporal	temporal	ADJ
ajst-19145	15	48	dependencies	dependency	NOUN
ajst-19145	15	49	within	within	ADP
ajst-19145	15	50	action	action	NOUN
ajst-19145	15	51	sequences	sequence	NOUN
ajst-19145	15	52	.	.	PUNCT
ajst-19145	16	1	unlike	unlike	ADP
ajst-19145	16	2	traditional	traditional	ADJ
ajst-19145	16	3	approaches	approach	NOUN
ajst-19145	16	4	that	that	PRON
ajst-19145	16	5	rely	rely	VERB
ajst-19145	16	6	on	on	ADP
ajst-19145	16	7	handcrafted	handcraft	VERB
ajst-19145	16	8	features	feature	NOUN
ajst-19145	16	9	and	and	CCONJ
ajst-19145	16	10	shallow	shallow	ADJ
ajst-19145	16	11	learning	learning	NOUN
ajst-19145	16	12	algorithms	algorithm	NOUN
ajst-19145	16	13	,	,	PUNCT
ajst-19145	16	14	deep	deep	ADJ
ajst-19145	16	15	learning	learning	NOUN
ajst-19145	16	16	models	model	NOUN
ajst-19145	16	17	,	,	PUNCT
ajst-19145	16	18	such	such	ADJ
ajst-19145	16	19	as	as	ADP
ajst-19145	16	20	convolutional	convolutional	ADJ
ajst-19145	16	21	neural	neural	ADJ
ajst-19145	16	22	networks	network	NOUN
ajst-19145	16	23	(	(	PUNCT
ajst-19145	16	24	cnns	cnns	PROPN
ajst-19145	16	25	)	)	PUNCT
ajst-19145	16	26	and	and	CCONJ
ajst-19145	16	27	recurrent	recurrent	ADJ
ajst-19145	16	28	neural	neural	ADJ
ajst-19145	16	29	networks	network	NOUN
ajst-19145	16	30	(	(	PUNCT
ajst-19145	16	31	rnns	rnns	PROPN
ajst-19145	16	32	)	)	PUNCT
ajst-19145	16	33	,	,	PUNCT
ajst-19145	16	34	excel	excel	VERB
ajst-19145	16	35	at	at	ADP
ajst-19145	16	36	learning	learn	VERB
ajst-19145	16	37	complex	complex	ADJ
ajst-19145	16	38	patterns	pattern	NOUN
ajst-19145	16	39	and	and	CCONJ
ajst-19145	16	40	temporal	temporal	ADJ
ajst-19145	16	41	dynamics	dynamic	NOUN
ajst-19145	16	42	directly	directly	ADV
ajst-19145	16	43	from	from	ADP
ajst-19145	16	44	raw	raw	ADJ
ajst-19145	16	45	data	datum	NOUN
ajst-19145	16	46	,	,	PUNCT
ajst-19145	16	47	such	such	ADJ
ajst-19145	16	48	as	as	ADP
ajst-19145	16	49	video	video	NOUN
ajst-19145	16	50	frames	frame	NOUN
ajst-19145	16	51	or	or	CCONJ
ajst-19145	16	52	motion	motion	NOUN
ajst-19145	16	53	sequences	sequence	NOUN
ajst-19145	16	54	.	.	PUNCT
ajst-19145	17	1	however	however	ADV
ajst-19145	17	2	,	,	PUNCT
ajst-19145	17	3	despite	despite	SCONJ
ajst-19145	17	4	their	their	PRON
ajst-19145	17	5	high	high	ADJ
ajst-19145	17	6	performance	performance	NOUN
ajst-19145	17	7	,	,	PUNCT
ajst-19145	17	8	deep	deep	ADJ
ajst-19145	17	9	learning	learning	NOUN
ajst-19145	17	10	models	model	NOUN
ajst-19145	17	11	often	often	ADV
ajst-19145	17	12	lack	lack	VERB
ajst-19145	17	13	interpretability	interpretability	NOUN
ajst-19145	17	14	,	,	PUNCT
ajst-19145	17	15	making	make	VERB
ajst-19145	17	16	it	it	PRON
ajst-19145	17	17	challenging	challenging	ADJ
ajst-19145	17	18	to	to	PART
ajst-19145	17	19	understand	understand	VERB
ajst-19145	17	20	how	how	SCONJ
ajst-19145	17	21	they	they	PRON
ajst-19145	17	22	infer	infer	VERB
ajst-19145	17	23	temporal	temporal	ADJ
ajst-19145	17	24	relationships	relationship	NOUN
ajst-19145	17	25	in	in	ADP
ajst-19145	17	26	human	human	ADJ
ajst-19145	17	27	actions	action	NOUN
ajst-19145	17	28	.	.	PUNCT
ajst-19145	18	1	this	this	DET
ajst-19145	18	2	interpretability	interpretability	NOUN
ajst-19145	18	3	gap	gap	NOUN
ajst-19145	18	4	hinders	hinder	VERB
ajst-19145	18	5	the	the	DET
ajst-19145	18	6	trustworthiness	trustworthiness	NOUN
ajst-19145	18	7	and	and	CCONJ
ajst-19145	18	8	applicability	applicability	NOUN
ajst-19145	18	9	of	of	ADP
ajst-19145	18	10	these	these	DET
ajst-19145	18	11	models	model	NOUN
ajst-19145	18	12	in	in	ADP
ajst-19145	18	13	real	real	ADJ
ajst-19145	18	14	-	-	PUNCT
ajst-19145	18	15	world	world	NOUN
ajst-19145	18	16	scenarios	scenario	NOUN
ajst-19145	18	17	,	,	PUNCT
ajst-19145	18	18	as	as	SCONJ
ajst-19145	18	19	stakeholders	stakeholder	NOUN
ajst-19145	18	20	require	require	VERB
ajst-19145	18	21	insights	insight	NOUN
ajst-19145	18	22	into	into	ADP
ajst-19145	18	23	model	model	NOUN
ajst-19145	18	24	decision	decision	NOUN
ajst-19145	18	25	-	-	PUNCT
ajst-19145	18	26	making	make	VERB
ajst-19145	18	27	processes	process	NOUN
ajst-19145	18	28	for	for	ADP
ajst-19145	18	29	effective	effective	ADJ
ajst-19145	18	30	deployment	deployment	NOUN
ajst-19145	18	31	and	and	CCONJ
ajst-19145	18	32	decision	decision	NOUN
ajst-19145	18	33	support	support	NOUN
ajst-19145	18	34	.	.	PUNCT
ajst-19145	19	1	2	2	X
ajst-19145	19	2	.	.	X
ajst-19145	19	3	related	relate	VERB
ajst-19145	19	4	work	work	NOUN
ajst-19145	19	5	2.1	2.1	NUM
ajst-19145	19	6	.	.	PUNCT
ajst-19145	20	1	traditional	traditional	ADJ
ajst-19145	20	2	approaches	approach	NOUN
ajst-19145	20	3	to	to	ADP
ajst-19145	20	4	human	human	ADJ
ajst-19145	20	5	action	action	NOUN
ajst-19145	20	6	recognition	recognition	NOUN
ajst-19145	20	7	in	in	ADP
ajst-19145	20	8	traditional	traditional	ADJ
ajst-19145	20	9	methods	method	NOUN
ajst-19145	20	10	of	of	ADP
ajst-19145	20	11	human	human	ADJ
ajst-19145	20	12	action	action	NOUN
ajst-19145	20	13	recognition	recognition	NOUN
ajst-19145	20	14	,	,	PUNCT
ajst-19145	20	15	handdesigned	handdesigned	ADJ
ajst-19145	20	16	features	feature	NOUN
ajst-19145	20	17	and	and	CCONJ
ajst-19145	20	18	techniques	technique	NOUN
ajst-19145	20	19	based	base	VERB
ajst-19145	20	20	on	on	ADP
ajst-19145	20	21	machine	machine	NOUN
ajst-19145	20	22	learning	learn	VERB
ajst-19145	20	23	algorithms	algorithm	NOUN
ajst-19145	20	24	are	be	AUX
ajst-19145	20	25	often	often	ADV
ajst-19145	20	26	used	use	VERB
ajst-19145	20	27	.	.	PUNCT
ajst-19145	21	1	for	for	ADP
ajst-19145	21	2	example	example	NOUN
ajst-19145	21	3	,	,	PUNCT
ajst-19145	21	4	traditional	traditional	ADJ
ajst-19145	21	5	motion	motion	NOUN
ajst-19145	21	6	recognition	recognition	NOUN
ajst-19145	21	7	methods	method	NOUN
ajst-19145	21	8	might	might	AUX
ajst-19145	21	9	use	use	VERB
ajst-19145	21	10	hand	hand	NOUN
ajst-19145	21	11	-	-	PUNCT
ajst-19145	21	12	designed	design	VERB
ajst-19145	21	13	features	feature	NOUN
ajst-19145	21	14	such	such	ADJ
ajst-19145	21	15	as	as	ADP
ajst-19145	21	16	motion	motion	NOUN
ajst-19145	21	17	trajectories	trajectory	NOUN
ajst-19145	21	18	,	,	PUNCT
ajst-19145	21	19	color	color	NOUN
ajst-19145	21	20	histograms	histogram	NOUN
ajst-19145	21	21	,	,	PUNCT
ajst-19145	21	22	or	or	CCONJ
ajst-19145	21	23	optical	optical	ADJ
ajst-19145	21	24	flows	flow	NOUN
ajst-19145	21	25	to	to	PART
ajst-19145	21	26	describe	describe	VERB
ajst-19145	21	27	motion	motion	NOUN
ajst-19145	21	28	patterns	pattern	NOUN
ajst-19145	21	29	in	in	ADP
ajst-19145	21	30	video	video	NOUN
ajst-19145	21	31	sequences	sequence	NOUN
ajst-19145	21	32	.	.	PUNCT
ajst-19145	22	1	for	for	ADP
ajst-19145	22	2	example	example	NOUN
ajst-19145	22	3	,	,	PUNCT
ajst-19145	22	4	for	for	ADP
ajst-19145	22	5	the	the	DET
ajst-19145	22	6	field	field	NOUN
ajst-19145	22	7	of	of	ADP
ajst-19145	22	8	video	video	NOUN
ajst-19145	22	9	surveillance	surveillance	NOUN
ajst-19145	22	10	,	,	PUNCT
ajst-19145	22	11	track	track	NOUN
ajst-19145	22	12	-	-	PUNCT
ajst-19145	22	13	based	base	VERB
ajst-19145	22	14	features	feature	NOUN
ajst-19145	22	15	can	can	AUX
ajst-19145	22	16	be	be	AUX
ajst-19145	22	17	used	use	VERB
ajst-19145	22	18	to	to	PART
ajst-19145	22	19	capture	capture	VERB
ajst-19145	22	20	changes	change	NOUN
ajst-19145	22	21	in	in	ADP
ajst-19145	22	22	direction	direction	NOUN
ajst-19145	22	23	and	and	CCONJ
ajst-19145	22	24	speed	speed	NOUN
ajst-19145	22	25	of	of	ADP
ajst-19145	22	26	human	human	ADJ
ajst-19145	22	27	movement	movement	NOUN
ajst-19145	22	28	to	to	PART
ajst-19145	22	29	distinguish	distinguish	VERB
ajst-19145	22	30	between	between	ADP
ajst-19145	22	31	different	different	ADJ
ajst-19145	22	32	types	type	NOUN
ajst-19145	22	33	of	of	ADP
ajst-19145	22	34	actions	action	NOUN
ajst-19145	22	35	,	,	PUNCT
ajst-19145	22	36	such	such	ADJ
ajst-19145	22	37	as	as	ADP
ajst-19145	22	38	walking	walk	VERB
ajst-19145	22	39	,	,	PUNCT
ajst-19145	22	40	running	run	VERB
ajst-19145	22	41	,	,	PUNCT
ajst-19145	22	42	or	or	CCONJ
ajst-19145	22	43	stopping	stop	VERB
ajst-19145	22	44	.	.	PUNCT
ajst-19145	23	1	in	in	ADP
ajst-19145	23	2	addition	addition	NOUN
ajst-19145	23	3	,	,	PUNCT
ajst-19145	23	4	traditional	traditional	ADJ
ajst-19145	23	5	machine	machine	NOUN
ajst-19145	23	6	learning	learning	NOUN
ajst-19145	23	7	algorithms	algorithm	NOUN
ajst-19145	23	8	,	,	PUNCT
ajst-19145	23	9	such	such	ADJ
ajst-19145	23	10	as	as	ADP
ajst-19145	23	11	support	support	NOUN
ajst-19145	23	12	vector	vector	NOUN
ajst-19145	23	13	machines	machine	NOUN
ajst-19145	23	14	(	(	PUNCT
ajst-19145	23	15	svm	svm	PROPN
ajst-19145	23	16	)	)	PUNCT
ajst-19145	23	17	or	or	CCONJ
ajst-19145	23	18	random	random	ADJ
ajst-19145	23	19	forest	forest	NOUN
ajst-19145	23	20	,	,	PUNCT
ajst-19145	23	21	are	be	AUX
ajst-19145	23	22	often	often	ADV
ajst-19145	23	23	used	use	VERB
ajst-19145	23	24	to	to	PART
ajst-19145	23	25	classify	classify	VERB
ajst-19145	23	26	and	and	CCONJ
ajst-19145	23	27	identify	identify	VERB
ajst-19145	23	28	extracted	extract	VERB
ajst-19145	23	29	features	feature	NOUN
ajst-19145	23	30	.	.	PUNCT
ajst-19145	24	1	in	in	ADP
ajst-19145	24	2	healthcare	healthcare	PROPN
ajst-19145	24	3	,	,	PUNCT
ajst-19145	24	4	for	for	ADP
ajst-19145	24	5	example	example	NOUN
ajst-19145	24	6	,	,	PUNCT
ajst-19145	24	7	these	these	DET
ajst-19145	24	8	algorithms	algorithm	NOUN
ajst-19145	24	9	can	can	AUX
ajst-19145	24	10	be	be	AUX
ajst-19145	24	11	used	use	VERB
ajst-19145	24	12	to	to	PART
ajst-19145	24	13	classify	classify	VERB
ajst-19145	24	14	the	the	DET
ajst-19145	24	15	movement	movement	NOUN
ajst-19145	24	16	patterns	pattern	NOUN
ajst-19145	24	17	of	of	ADP
ajst-19145	24	18	patients	patient	NOUN
ajst-19145	24	19	to	to	PART
ajst-19145	24	20	help	help	VERB
ajst-19145	24	21	diagnose	diagnose	VERB
ajst-19145	24	22	and	and	CCONJ
ajst-19145	24	23	monitor	monitor	VERB
ajst-19145	24	24	their	their	PRON
ajst-19145	24	25	health	health	NOUN
ajst-19145	24	26	.	.	PUNCT
ajst-19145	25	1	traditional	traditional	ADJ
ajst-19145	25	2	action	action	NOUN
ajst-19145	25	3	recognition	recognition	NOUN
ajst-19145	25	4	methods	method	NOUN
ajst-19145	25	5	have	have	VERB
ajst-19145	25	6	some	some	DET
ajst-19145	25	7	limitations	limitation	NOUN
ajst-19145	25	8	when	when	SCONJ
ajst-19145	25	9	dealing	deal	VERB
ajst-19145	25	10	with	with	ADP
ajst-19145	25	11	complex	complex	ADJ
ajst-19145	25	12	action	action	NOUN
ajst-19145	25	13	patterns	pattern	NOUN
ajst-19145	25	14	.	.	PUNCT
ajst-19145	26	1	these	these	DET
ajst-19145	26	2	methods	method	NOUN
ajst-19145	26	3	often	often	ADV
ajst-19145	26	4	rely	rely	VERB
ajst-19145	26	5	on	on	ADP
ajst-19145	26	6	hand	hand	NOUN
ajst-19145	26	7	-	-	PUNCT
ajst-19145	26	8	designed	design	VERB
ajst-19145	26	9	features	feature	NOUN
ajst-19145	26	10	that	that	PRON
ajst-19145	26	11	may	may	AUX
ajst-19145	26	12	not	not	PART
ajst-19145	26	13	fully	fully	ADV
ajst-19145	26	14	capture	capture	VERB
ajst-19145	26	15	the	the	DET
ajst-19145	26	16	deep	deep	ADJ
ajst-19145	26	17	motivation	motivation	NOUN
ajst-19145	26	18	and	and	CCONJ
ajst-19145	26	19	intent	intent	NOUN
ajst-19145	26	20	behind	behind	ADP
ajst-19145	26	21	an	an	DET
ajst-19145	26	22	action	action	NOUN
ajst-19145	26	23	.	.	PUNCT
ajst-19145	27	1	for	for	ADP
ajst-19145	27	2	example	example	NOUN
ajst-19145	27	3	,	,	PUNCT
ajst-19145	27	4	lian	lian	ADJ
ajst-19145	27	5	zhixian	zhixian	NOUN
ajst-19145	27	6	points	point	VERB
ajst-19145	27	7	out	out	ADP
ajst-19145	27	8	in	in	ADP
ajst-19145	27	9	his	his	PRON
ajst-19145	27	10	article	article	NOUN
ajst-19145	27	11	that	that	PRON
ajst-19145	27	12	ai	ai	VERB
ajst-19145	27	13	's	's	PART
ajst-19145	27	14	lack	lack	NOUN
ajst-19145	27	15	of	of	ADP
ajst-19145	27	16	flexible	flexible	ADJ
ajst-19145	27	17	recognition	recognition	NOUN
ajst-19145	27	18	of	of	ADP
ajst-19145	27	19	human	human	ADJ
ajst-19145	27	20	motivation	motivation	NOUN
ajst-19145	27	21	suggests	suggest	VERB
ajst-19145	27	22	that	that	SCONJ
ajst-19145	27	23	traditional	traditional	ADJ
ajst-19145	27	24	methods	method	NOUN
ajst-19145	27	25	may	may	AUX
ajst-19145	27	26	not	not	PART
ajst-19145	27	27	be	be	AUX
ajst-19145	27	28	able	able	ADJ
ajst-19145	27	29	to	to	PART
ajst-19145	27	30	effectively	effectively	ADV
ajst-19145	27	31	capture	capture	VERB
ajst-19145	27	32	the	the	DET
ajst-19145	27	33	deep	deep	ADJ
ajst-19145	27	34	motivations	motivation	NOUN
ajst-19145	27	35	and	and	CCONJ
ajst-19145	27	36	intentions	intention	NOUN
ajst-19145	27	37	behind	behind	ADP
ajst-19145	27	38	actions	action	NOUN
ajst-19145	27	39	,	,	PUNCT
ajst-19145	27	40	thus	thus	ADV
ajst-19145	27	41	limiting	limit	VERB
ajst-19145	27	42	51	51	NUM
ajst-19145	27	43	its	its	PRON
ajst-19145	27	44	application	application	NOUN
ajst-19145	27	45	in	in	ADP
ajst-19145	27	46	complex	complex	ADJ
ajst-19145	27	47	action	action	NOUN
ajst-19145	27	48	patterns	pattern	NOUN
ajst-19145	27	49	.	.	PUNCT
ajst-19145	28	1	another	another	DET
ajst-19145	28	2	problem	problem	NOUN
ajst-19145	28	3	is	be	AUX
ajst-19145	28	4	that	that	SCONJ
ajst-19145	28	5	traditional	traditional	ADJ
ajst-19145	28	6	methods	method	NOUN
ajst-19145	28	7	often	often	ADV
ajst-19145	28	8	adopt	adopt	VERB
ajst-19145	28	9	fixed	fix	VERB
ajst-19145	28	10	models	model	NOUN
ajst-19145	28	11	and	and	CCONJ
ajst-19145	28	12	algorithms	algorithm	NOUN
ajst-19145	28	13	to	to	PART
ajst-19145	28	14	handle	handle	VERB
ajst-19145	28	15	action	action	NOUN
ajst-19145	28	16	recognition	recognition	NOUN
ajst-19145	28	17	tasks	task	NOUN
ajst-19145	28	18	,	,	PUNCT
ajst-19145	28	19	which	which	PRON
ajst-19145	28	20	limits	limit	VERB
ajst-19145	28	21	their	their	PRON
ajst-19145	28	22	ability	ability	NOUN
ajst-19145	28	23	to	to	PART
ajst-19145	28	24	adapt	adapt	VERB
ajst-19145	28	25	to	to	ADP
ajst-19145	28	26	new	new	ADJ
ajst-19145	28	27	data	datum	NOUN
ajst-19145	28	28	and	and	CCONJ
ajst-19145	28	29	action	action	NOUN
ajst-19145	28	30	patterns	pattern	NOUN
ajst-19145	28	31	.	.	PUNCT
ajst-19145	29	1	in	in	ADP
ajst-19145	29	2	their	their	PRON
ajst-19145	29	3	research	research	NOUN
ajst-19145	29	4	,	,	PUNCT
ajst-19145	29	5	huan	huan	PROPN
ajst-19145	29	6	zhanet	zhanet	PROPN
ajst-19145	29	7	al	al	PROPN
ajst-19145	29	8	.	.	PROPN
ajst-19145	29	9	mentioned	mention	VERB
ajst-19145	29	10	the	the	DET
ajst-19145	29	11	study	study	NOUN
ajst-19145	29	12	of	of	ADP
ajst-19145	29	13	human	human	ADJ
ajst-19145	29	14	activity	activity	NOUN
ajst-19145	29	15	recognition	recognition	NOUN
ajst-19145	29	16	based	base	VERB
ajst-19145	29	17	on	on	ADP
ajst-19145	29	18	open	open	ADJ
ajst-19145	29	19	set	set	VERB
ajst-19145	29	20	class	class	NOUN
ajst-19145	29	21	incremental	incremental	ADJ
ajst-19145	29	22	learning	learning	NOUN
ajst-19145	29	23	,	,	PUNCT
ajst-19145	29	24	which	which	PRON
ajst-19145	29	25	indicates	indicate	VERB
ajst-19145	29	26	the	the	DET
ajst-19145	29	27	need	need	NOUN
ajst-19145	29	28	for	for	ADP
ajst-19145	29	29	new	new	ADJ
ajst-19145	29	30	action	action	NOUN
ajst-19145	29	31	recognition	recognition	NOUN
ajst-19145	29	32	and	and	CCONJ
ajst-19145	29	33	learning	learning	NOUN
ajst-19145	29	34	.	.	PUNCT
ajst-19145	30	1	traditional	traditional	ADJ
ajst-19145	30	2	methods	method	NOUN
ajst-19145	30	3	may	may	AUX
ajst-19145	30	4	not	not	PART
ajst-19145	30	5	be	be	AUX
ajst-19145	30	6	flexible	flexible	ADJ
ajst-19145	30	7	enough	enough	ADV
ajst-19145	30	8	to	to	PART
ajst-19145	30	9	adapt	adapt	VERB
ajst-19145	30	10	to	to	ADP
ajst-19145	30	11	new	new	ADJ
ajst-19145	30	12	modes	mode	NOUN
ajst-19145	30	13	of	of	ADP
ajst-19145	30	14	action	action	NOUN
ajst-19145	30	15	,	,	PUNCT
ajst-19145	30	16	thus	thus	ADV
ajst-19145	30	17	limiting	limit	VERB
ajst-19145	30	18	their	their	PRON
ajst-19145	30	19	effectiveness	effectiveness	NOUN
ajst-19145	30	20	in	in	ADP
ajst-19145	30	21	practical	practical	ADJ
ajst-19145	30	22	applications	application	NOUN
ajst-19145	30	23	.	.	PUNCT
ajst-19145	31	1	traditional	traditional	ADJ
ajst-19145	31	2	action	action	NOUN
ajst-19145	31	3	recognition	recognition	NOUN
ajst-19145	31	4	methods	method	NOUN
ajst-19145	31	5	also	also	ADV
ajst-19145	31	6	have	have	VERB
ajst-19145	31	7	problems	problem	NOUN
ajst-19145	31	8	in	in	ADP
ajst-19145	31	9	dealing	deal	VERB
ajst-19145	31	10	with	with	ADP
ajst-19145	31	11	challenges	challenge	NOUN
ajst-19145	31	12	under	under	ADP
ajst-19145	31	13	complex	complex	ADJ
ajst-19145	31	14	environmental	environmental	ADJ
ajst-19145	31	15	conditions	condition	NOUN
ajst-19145	31	16	.	.	PUNCT
ajst-19145	32	1	human	human	ADJ
ajst-19145	32	2	motion	motion	NOUN
ajst-19145	32	3	recognition	recognition	NOUN
ajst-19145	32	4	often	often	ADV
ajst-19145	32	5	needs	need	VERB
ajst-19145	32	6	to	to	PART
ajst-19145	32	7	be	be	AUX
ajst-19145	32	8	carried	carry	VERB
ajst-19145	32	9	out	out	ADP
ajst-19145	32	10	under	under	ADP
ajst-19145	32	11	complex	complex	ADJ
ajst-19145	32	12	environmental	environmental	ADJ
ajst-19145	32	13	conditions	condition	NOUN
ajst-19145	32	14	,	,	PUNCT
ajst-19145	32	15	such	such	ADJ
ajst-19145	32	16	as	as	ADP
ajst-19145	32	17	different	different	ADJ
ajst-19145	32	18	lighting	lighting	NOUN
ajst-19145	32	19	,	,	PUNCT
ajst-19145	32	20	background	background	NOUN
ajst-19145	32	21	and	and	CCONJ
ajst-19145	32	22	occlusion	occlusion	NOUN
ajst-19145	32	23	.	.	PUNCT
ajst-19145	33	1	traditional	traditional	ADJ
ajst-19145	33	2	approaches	approach	NOUN
ajst-19145	33	3	may	may	AUX
ajst-19145	33	4	not	not	PART
ajst-19145	33	5	be	be	AUX
ajst-19145	33	6	able	able	ADJ
ajst-19145	33	7	to	to	PART
ajst-19145	33	8	effectively	effectively	ADV
ajst-19145	33	9	address	address	VERB
ajst-19145	33	10	these	these	DET
ajst-19145	33	11	challenges	challenge	NOUN
ajst-19145	33	12	,	,	PUNCT
ajst-19145	33	13	resulting	result	VERB
ajst-19145	33	14	in	in	ADP
ajst-19145	33	15	reduced	reduce	VERB
ajst-19145	33	16	recognition	recognition	NOUN
ajst-19145	33	17	accuracy	accuracy	NOUN
ajst-19145	33	18	.	.	PUNCT
ajst-19145	34	1	however	however	ADV
ajst-19145	34	2	,	,	PUNCT
ajst-19145	34	3	the	the	DET
ajst-19145	34	4	traditional	traditional	ADJ
ajst-19145	34	5	methods	method	NOUN
ajst-19145	34	6	have	have	VERB
ajst-19145	34	7	limitations	limitation	NOUN
ajst-19145	34	8	on	on	ADP
ajst-19145	34	9	the	the	DET
ajst-19145	34	10	extraction	extraction	NOUN
ajst-19145	34	11	of	of	ADP
ajst-19145	34	12	human	human	ADJ
ajst-19145	34	13	motion	motion	NOUN
ajst-19145	34	14	features	feature	NOUN
ajst-19145	34	15	,	,	PUNCT
ajst-19145	34	16	and	and	CCONJ
ajst-19145	34	17	can	can	AUX
ajst-19145	34	18	not	not	PART
ajst-19145	34	19	capture	capture	VERB
ajst-19145	34	20	complex	complex	ADJ
ajst-19145	34	21	motion	motion	NOUN
ajst-19145	34	22	patterns	pattern	NOUN
ajst-19145	34	23	and	and	CCONJ
ajst-19145	34	24	spatio	spatio	PROPN
ajst-19145	34	25	-	-	PUNCT
ajst-19145	34	26	temporal	temporal	ADJ
ajst-19145	34	27	relationships	relationship	NOUN
ajst-19145	34	28	.	.	PUNCT
ajst-19145	35	1	for	for	ADP
ajst-19145	35	2	example	example	NOUN
ajst-19145	35	3	,	,	PUNCT
ajst-19145	35	4	in	in	ADP
ajst-19145	35	5	video	video	NOUN
ajst-19145	35	6	surveillance	surveillance	NOUN
ajst-19145	35	7	,	,	PUNCT
ajst-19145	35	8	methods	method	NOUN
ajst-19145	35	9	based	base	VERB
ajst-19145	35	10	on	on	ADP
ajst-19145	35	11	manual	manual	ADJ
ajst-19145	35	12	features	feature	NOUN
ajst-19145	35	13	may	may	AUX
ajst-19145	35	14	not	not	PART
ajst-19145	35	15	be	be	AUX
ajst-19145	35	16	able	able	ADJ
ajst-19145	35	17	to	to	PART
ajst-19145	35	18	effectively	effectively	ADV
ajst-19145	35	19	deal	deal	VERB
ajst-19145	35	20	with	with	ADP
ajst-19145	35	21	motion	motion	NOUN
ajst-19145	35	22	recognition	recognition	NOUN
ajst-19145	35	23	under	under	ADP
ajst-19145	35	24	different	different	ADJ
ajst-19145	35	25	lighting	lighting	NOUN
ajst-19145	35	26	conditions	condition	NOUN
ajst-19145	35	27	,	,	PUNCT
ajst-19145	35	28	resulting	result	VERB
ajst-19145	35	29	in	in	ADP
ajst-19145	35	30	reduced	reduce	VERB
ajst-19145	35	31	recognition	recognition	NOUN
ajst-19145	35	32	accuracy	accuracy	NOUN
ajst-19145	35	33	.	.	PUNCT
ajst-19145	36	1	in	in	ADP
ajst-19145	36	2	addition	addition	NOUN
ajst-19145	36	3	,	,	PUNCT
ajst-19145	36	4	traditional	traditional	ADJ
ajst-19145	36	5	machine	machine	NOUN
ajst-19145	36	6	learning	learn	VERB
ajst-19145	36	7	algorithms	algorithm	NOUN
ajst-19145	36	8	often	often	ADV
ajst-19145	36	9	rely	rely	VERB
ajst-19145	36	10	on	on	ADP
ajst-19145	36	11	manually	manually	ADV
ajst-19145	36	12	selected	select	VERB
ajst-19145	36	13	feature	feature	NOUN
ajst-19145	36	14	sets	set	NOUN
ajst-19145	36	15	and	and	CCONJ
ajst-19145	36	16	may	may	AUX
ajst-19145	36	17	not	not	PART
ajst-19145	36	18	adequately	adequately	ADV
ajst-19145	36	19	mine	mine	VERB
ajst-19145	36	20	the	the	DET
ajst-19145	36	21	underlying	underlie	VERB
ajst-19145	36	22	patterns	pattern	NOUN
ajst-19145	36	23	and	and	CCONJ
ajst-19145	36	24	information	information	NOUN
ajst-19145	36	25	in	in	ADP
ajst-19145	36	26	the	the	DET
ajst-19145	36	27	data	datum	NOUN
ajst-19145	36	28	,	,	PUNCT
ajst-19145	36	29	thus	thus	ADV
ajst-19145	36	30	limiting	limit	VERB
ajst-19145	36	31	the	the	DET
ajst-19145	36	32	performance	performance	NOUN
ajst-19145	36	33	and	and	CCONJ
ajst-19145	36	34	generalization	generalization	NOUN
ajst-19145	36	35	of	of	ADP
ajst-19145	36	36	action	action	NOUN
ajst-19145	36	37	recognition	recognition	NOUN
ajst-19145	36	38	.	.	PUNCT
ajst-19145	37	1	this	this	PRON
ajst-19145	37	2	can	can	AUX
ajst-19145	37	3	be	be	AUX
ajst-19145	37	4	drawn	draw	VERB
ajst-19145	37	5	from	from	ADP
ajst-19145	37	6	the	the	DET
ajst-19145	37	7	study	study	NOUN
ajst-19145	37	8	by	by	ADP
ajst-19145	37	9	huan	huan	PROPN
ajst-19145	37	10	et	et	PROPN
ajst-19145	37	11	al	al	PROPN
ajst-19145	37	12	.	.	PROPN
ajst-19145	37	13	,	,	PUNCT
ajst-19145	37	14	which	which	PRON
ajst-19145	37	15	may	may	AUX
ajst-19145	37	16	involve	involve	VERB
ajst-19145	37	17	the	the	DET
ajst-19145	37	18	challenge	challenge	NOUN
ajst-19145	37	19	of	of	ADP
ajst-19145	37	20	action	action	NOUN
ajst-19145	37	21	recognition	recognition	NOUN
ajst-19145	37	22	in	in	ADP
ajst-19145	37	23	real	real	ADJ
ajst-19145	37	24	-	-	PUNCT
ajst-19145	37	25	world	world	NOUN
ajst-19145	37	26	situations	situation	NOUN
ajst-19145	37	27	.	.	PUNCT
ajst-19145	38	1	therefore	therefore	ADV
ajst-19145	38	2	,	,	PUNCT
ajst-19145	38	3	in	in	ADP
ajst-19145	38	4	order	order	NOUN
ajst-19145	38	5	to	to	PART
ajst-19145	38	6	improve	improve	VERB
ajst-19145	38	7	the	the	DET
ajst-19145	38	8	accuracy	accuracy	NOUN
ajst-19145	38	9	and	and	CCONJ
ajst-19145	38	10	robustness	robustness	NOUN
ajst-19145	38	11	of	of	ADP
ajst-19145	38	12	action	action	NOUN
ajst-19145	38	13	recognition	recognition	NOUN
ajst-19145	38	14	,	,	PUNCT
ajst-19145	38	15	it	it	PRON
ajst-19145	38	16	is	be	AUX
ajst-19145	38	17	necessary	necessary	ADJ
ajst-19145	38	18	to	to	PART
ajst-19145	38	19	explore	explore	VERB
ajst-19145	38	20	new	new	ADJ
ajst-19145	38	21	methods	method	NOUN
ajst-19145	38	22	and	and	CCONJ
ajst-19145	38	23	techniques	technique	NOUN
ajst-19145	38	24	to	to	PART
ajst-19145	38	25	overcome	overcome	VERB
ajst-19145	38	26	the	the	DET
ajst-19145	38	27	limitations	limitation	NOUN
ajst-19145	38	28	of	of	ADP
ajst-19145	38	29	traditional	traditional	ADJ
ajst-19145	38	30	methods	method	NOUN
ajst-19145	38	31	.	.	PUNCT
ajst-19145	39	1	2.2	2.2	NUM
ajst-19145	39	2	.	.	PUNCT
ajst-19145	39	3	motion	motion	NOUN
ajst-19145	39	4	recognition	recognition	NOUN
ajst-19145	39	5	based	base	VERB
ajst-19145	39	6	on	on	ADP
ajst-19145	39	7	deep	deep	ADJ
ajst-19145	39	8	learning	learn	VERB
ajst-19145	39	9	the	the	DET
ajst-19145	39	10	introduction	introduction	NOUN
ajst-19145	39	11	of	of	ADP
ajst-19145	39	12	deep	deep	ADJ
ajst-19145	39	13	learning	learning	NOUN
ajst-19145	39	14	has	have	AUX
ajst-19145	39	15	brought	bring	VERB
ajst-19145	39	16	a	a	DET
ajst-19145	39	17	new	new	ADJ
ajst-19145	39	18	development	development	NOUN
ajst-19145	39	19	direction	direction	NOUN
ajst-19145	39	20	for	for	ADP
ajst-19145	39	21	human	human	ADJ
ajst-19145	39	22	behavior	behavior	NOUN
ajst-19145	39	23	recognition	recognition	NOUN
ajst-19145	39	24	based	base	VERB
ajst-19145	39	25	on	on	ADP
ajst-19145	39	26	rgb	rgb	PROPN
ajst-19145	39	27	.	.	PUNCT
ajst-19145	40	1	the	the	DET
ajst-19145	40	2	original	original	ADJ
ajst-19145	40	3	research	research	NOUN
ajst-19145	40	4	methods	method	NOUN
ajst-19145	40	5	of	of	ADP
ajst-19145	40	6	deep	deep	ADJ
ajst-19145	40	7	learning	learning	NOUN
ajst-19145	40	8	in	in	ADP
ajst-19145	40	9	the	the	DET
ajst-19145	40	10	field	field	NOUN
ajst-19145	40	11	of	of	ADP
ajst-19145	40	12	human	human	ADJ
ajst-19145	40	13	behavior	behavior	NOUN
ajst-19145	40	14	recognition	recognition	NOUN
ajst-19145	40	15	focused	focus	VERB
ajst-19145	40	16	on	on	ADP
ajst-19145	40	17	the	the	DET
ajst-19145	40	18	feature	feature	NOUN
ajst-19145	40	19	extraction	extraction	NOUN
ajst-19145	40	20	of	of	ADP
ajst-19145	40	21	rgb	rgb	PROPN
ajst-19145	40	22	static	static	ADJ
ajst-19145	40	23	images	image	NOUN
ajst-19145	40	24	,	,	PUNCT
ajst-19145	40	25	and	and	CCONJ
ajst-19145	40	26	now	now	ADV
ajst-19145	40	27	it	it	PRON
ajst-19145	40	28	focuses	focus	VERB
ajst-19145	40	29	on	on	ADP
ajst-19145	40	30	video	video	NOUN
ajst-19145	40	31	images	image	NOUN
ajst-19145	40	32	.	.	PUNCT
ajst-19145	41	1	guo	guo	PROPN
ajst-19145	41	2	et	et	PROPN
ajst-19145	41	3	al	al	PROPN
ajst-19145	41	4	.	.	PROPN
ajst-19145	41	5	investigated	investigate	VERB
ajst-19145	41	6	human	human	ADJ
ajst-19145	41	7	behavior	behavior	NOUN
ajst-19145	41	8	recognition	recognition	NOUN
ajst-19145	41	9	technology	technology	NOUN
ajst-19145	41	10	based	base	VERB
ajst-19145	41	11	on	on	ADP
ajst-19145	41	12	static	static	ADJ
ajst-19145	41	13	rgb	rgb	PROPN
ajst-19145	41	14	images	image	NOUN
ajst-19145	41	15	and	and	CCONJ
ajst-19145	41	16	discussed	discuss	VERB
ajst-19145	41	17	different	different	ADJ
ajst-19145	41	18	methods	method	NOUN
ajst-19145	41	19	of	of	ADP
ajst-19145	41	20	machine	machine	NOUN
ajst-19145	41	21	learning	learning	NOUN
ajst-19145	41	22	and	and	CCONJ
ajst-19145	41	23	deep	deep	ADJ
ajst-19145	41	24	learning	learning	NOUN
ajst-19145	41	25	for	for	ADP
ajst-19145	41	26	low	low	ADJ
ajst-19145	41	27	-	-	PUNCT
ajst-19145	41	28	level	level	NOUN
ajst-19145	41	29	feature	feature	NOUN
ajst-19145	41	30	extraction	extraction	NOUN
ajst-19145	41	31	and	and	CCONJ
ajst-19145	41	32	high	high	ADJ
ajst-19145	41	33	-	-	PUNCT
ajst-19145	41	34	level	level	NOUN
ajst-19145	41	35	behavior	behavior	NOUN
ajst-19145	41	36	representation	representation	NOUN
ajst-19145	41	37	.	.	PUNCT
ajst-19145	42	1	ma	ma	PROPN
ajst-19145	42	2	et	et	PROPN
ajst-19145	42	3	al	al	PROPN
ajst-19145	42	4	.	.	PUNCT
ajst-19145	43	1	[	[	X
ajst-19145	43	2	5	5	NUM
ajst-19145	43	3	]	]	PUNCT
ajst-19145	43	4	discuss	discuss	NOUN
ajst-19145	43	5	in	in	ADP
ajst-19145	43	6	detail	detail	NOUN
ajst-19145	43	7	the	the	DET
ajst-19145	43	8	advantages	advantage	NOUN
ajst-19145	43	9	and	and	CCONJ
ajst-19145	43	10	disadvantages	disadvantage	NOUN
ajst-19145	43	11	of	of	ADP
ajst-19145	43	12	deep	deep	ADJ
ajst-19145	43	13	learning	learning	NOUN
ajst-19145	43	14	representations	representation	NOUN
ajst-19145	43	15	,	,	PUNCT
ajst-19145	43	16	while	while	SCONJ
ajst-19145	43	17	also	also	ADV
ajst-19145	43	18	introducing	introduce	VERB
ajst-19145	43	19	popular	popular	ADJ
ajst-19145	43	20	standard	standard	ADJ
ajst-19145	43	21	datasets	dataset	NOUN
ajst-19145	43	22	.	.	PUNCT
ajst-19145	44	1	pei	pei	PROPN
ajst-19145	44	2	lishen	lishen	PROPN
ajst-19145	44	3	et	et	PROPN
ajst-19145	44	4	al	al	PROPN
ajst-19145	44	5	.	.	PUNCT
ajst-19145	45	1	[	[	X
ajst-19145	45	2	6	6	NUM
ajst-19145	45	3	]	]	PUNCT
ajst-19145	45	4	focused	focus	VERB
ajst-19145	45	5	more	more	ADV
ajst-19145	45	6	on	on	ADP
ajst-19145	45	7	summarizing	summarize	VERB
ajst-19145	45	8	the	the	DET
ajst-19145	45	9	development	development	NOUN
ajst-19145	45	10	of	of	ADP
ajst-19145	45	11	algorithms	algorithm	NOUN
ajst-19145	45	12	for	for	ADP
ajst-19145	45	13	understanding	understand	VERB
ajst-19145	45	14	activity	activity	NOUN
ajst-19145	45	15	details	detail	NOUN
ajst-19145	45	16	in	in	ADP
ajst-19145	45	17	group	group	NOUN
ajst-19145	45	18	behavior	behavior	NOUN
ajst-19145	45	19	.	.	PUNCT
ajst-19145	46	1	in	in	ADP
ajst-19145	46	2	recent	recent	ADJ
ajst-19145	46	3	years	year	NOUN
ajst-19145	46	4	,	,	PUNCT
ajst-19145	46	5	the	the	DET
ajst-19145	46	6	advantages	advantage	NOUN
ajst-19145	46	7	of	of	ADP
ajst-19145	46	8	combining	combine	VERB
ajst-19145	46	9	bone	bone	NOUN
ajst-19145	46	10	data	datum	NOUN
ajst-19145	46	11	with	with	ADP
ajst-19145	46	12	deep	deep	ADJ
ajst-19145	46	13	learning	learning	NOUN
ajst-19145	46	14	have	have	AUX
ajst-19145	46	15	gradually	gradually	ADV
ajst-19145	46	16	become	become	VERB
ajst-19145	46	17	apparent	apparent	ADJ
ajst-19145	46	18	.	.	PUNCT
ajst-19145	47	1	many	many	ADJ
ajst-19145	47	2	scholars	scholar	NOUN
ajst-19145	47	3	gradually	gradually	ADV
ajst-19145	47	4	close	close	VERB
ajst-19145	47	5	note	note	NOUN
ajst-19145	47	6	research	research	NOUN
ajst-19145	47	7	on	on	ADP
ajst-19145	47	8	human	human	ADJ
ajst-19145	47	9	behavior	behavior	NOUN
ajst-19145	47	10	recognition	recognition	NOUN
ajst-19145	47	11	based	base	VERB
ajst-19145	47	12	on	on	ADP
ajst-19145	47	13	bone	bone	NOUN
ajst-19145	47	14	.	.	PUNCT
ajst-19145	48	1	the	the	DET
ajst-19145	48	2	investigation	investigation	NOUN
ajst-19145	48	3	[	[	X
ajst-19145	48	4	7	7	NUM
ajst-19145	48	5	,	,	PUNCT
ajst-19145	48	6	8	8	NUM
ajst-19145	48	7	]	]	PUNCT
ajst-19145	48	8	was	be	AUX
ajst-19145	48	9	not	not	PART
ajst-19145	48	10	only	only	ADV
ajst-19145	48	11	detailed	detail	VERB
ajst-19145	48	12	.	.	PUNCT
ajst-19145	49	1	the	the	DET
ajst-19145	49	2	structure	structure	NOUN
ajst-19145	49	3	and	and	CCONJ
ajst-19145	49	4	skeleton	skeleton	NOUN
ajst-19145	49	5	data	datum	NOUN
ajst-19145	49	6	of	of	ADP
ajst-19145	49	7	graph	graph	NOUN
ajst-19145	49	8	convolution	convolution	NOUN
ajst-19145	49	9	neural	neural	ADJ
ajst-19145	49	10	networks	network	NOUN
ajst-19145	49	11	(	(	PUNCT
ajst-19145	49	12	gcn	gcn	NOUN
ajst-19145	49	13	)	)	PUNCT
ajst-19145	49	14	for	for	ADP
ajst-19145	49	15	human	human	ADJ
ajst-19145	49	16	behavior	behavior	NOUN
ajst-19145	49	17	recognition	recognition	NOUN
ajst-19145	49	18	are	be	AUX
ajst-19145	49	19	introduced.the	introduced.the	DET
ajst-19145	49	20	application	application	NOUN
ajst-19145	49	21	of	of	ADP
ajst-19145	49	22	gcn	gcn	NOUN
ajst-19145	49	23	in	in	ADP
ajst-19145	49	24	the	the	DET
ajst-19145	49	25	field	field	NOUN
ajst-19145	49	26	of	of	ADP
ajst-19145	49	27	human	human	ADJ
ajst-19145	49	28	behavior	behavior	NOUN
ajst-19145	49	29	recognition	recognition	NOUN
ajst-19145	49	30	is	be	AUX
ajst-19145	49	31	emphasized	emphasize	VERB
ajst-19145	49	32	.	.	PUNCT
ajst-19145	50	1	at	at	ADP
ajst-19145	50	2	present	present	ADJ
ajst-19145	50	3	,	,	PUNCT
ajst-19145	50	4	the	the	DET
ajst-19145	50	5	previous	previous	ADJ
ajst-19145	50	6	research	research	NOUN
ajst-19145	50	7	does	do	AUX
ajst-19145	50	8	not	not	PART
ajst-19145	50	9	include	include	VERB
ajst-19145	50	10	the	the	DET
ajst-19145	50	11	comprehensive	comprehensive	ADJ
ajst-19145	50	12	investigation	investigation	NOUN
ajst-19145	50	13	of	of	ADP
ajst-19145	50	14	the	the	DET
ajst-19145	50	15	two	two	NUM
ajst-19145	50	16	research	research	NOUN
ajst-19145	50	17	methods	method	NOUN
ajst-19145	50	18	based	base	VERB
ajst-19145	50	19	on	on	ADP
ajst-19145	50	20	rgb	rgb	PROPN
ajst-19145	50	21	and	and	CCONJ
ajst-19145	50	22	bone	bone	NOUN
ajst-19145	50	23	,	,	PUNCT
ajst-19145	50	24	and	and	CCONJ
ajst-19145	50	25	lacks	lack	VERB
ajst-19145	50	26	a	a	DET
ajst-19145	50	27	macro	macro	NOUN
ajst-19145	50	28	and	and	CCONJ
ajst-19145	50	29	comprehensive	comprehensive	ADJ
ajst-19145	50	30	introduction	introduction	NOUN
ajst-19145	50	31	.	.	PUNCT
ajst-19145	51	1	therefore	therefore	ADV
ajst-19145	51	2	,	,	PUNCT
ajst-19145	51	3	the	the	DET
ajst-19145	51	4	above	above	ADJ
ajst-19145	51	5	two	two	NUM
ajst-19145	51	6	popular	popular	ADJ
ajst-19145	51	7	methods	method	NOUN
ajst-19145	51	8	are	be	AUX
ajst-19145	51	9	respectively	respectively	ADV
ajst-19145	51	10	carried	carry	VERB
ajst-19145	51	11	out	out	ADP
ajst-19145	51	12	in	in	ADP
ajst-19145	51	13	this	this	DET
ajst-19145	51	14	paper	paper	NOUN
ajst-19145	51	15	comprehensive	comprehensive	ADJ
ajst-19145	51	16	classified	classified	ADJ
ajst-19145	51	17	survey	survey	NOUN
ajst-19145	51	18	was	be	AUX
ajst-19145	51	19	conducted	conduct	VERB
ajst-19145	51	20	.	.	PUNCT
ajst-19145	52	1	therefore	therefore	ADV
ajst-19145	52	2	,	,	PUNCT
ajst-19145	52	3	the	the	DET
ajst-19145	52	4	advantages	advantage	NOUN
ajst-19145	52	5	of	of	ADP
ajst-19145	52	6	deep	deep	ADJ
ajst-19145	52	7	learning	learning	NOUN
ajst-19145	52	8	motion	motion	NOUN
ajst-19145	52	9	recognition	recognition	NOUN
ajst-19145	52	10	methods	method	NOUN
ajst-19145	52	11	in	in	ADP
ajst-19145	52	12	capturing	capture	VERB
ajst-19145	52	13	temporal	temporal	ADJ
ajst-19145	52	14	dynamics	dynamic	NOUN
ajst-19145	52	15	also	also	ADV
ajst-19145	52	16	include	include	VERB
ajst-19145	52	17	their	their	PRON
ajst-19145	52	18	ability	ability	NOUN
ajst-19145	52	19	to	to	PART
ajst-19145	52	20	handle	handle	VERB
ajst-19145	52	21	multiple	multiple	ADJ
ajst-19145	52	22	time	time	NOUN
ajst-19145	52	23	scales	scale	NOUN
ajst-19145	52	24	.	.	PUNCT
ajst-19145	53	1	deep	deep	ADJ
ajst-19145	53	2	learning	learning	NOUN
ajst-19145	53	3	models	model	NOUN
ajst-19145	53	4	can	can	AUX
ajst-19145	53	5	capture	capture	VERB
ajst-19145	53	6	information	information	NOUN
ajst-19145	53	7	on	on	ADP
ajst-19145	53	8	different	different	ADJ
ajst-19145	53	9	time	time	NOUN
ajst-19145	53	10	scales	scale	NOUN
ajst-19145	53	11	in	in	ADP
ajst-19145	53	12	action	action	NOUN
ajst-19145	53	13	sequences	sequence	NOUN
ajst-19145	53	14	by	by	ADP
ajst-19145	53	15	using	use	VERB
ajst-19145	53	16	time	time	NOUN
ajst-19145	53	17	windows	window	NOUN
ajst-19145	53	18	of	of	ADP
ajst-19145	53	19	different	different	ADJ
ajst-19145	53	20	lengths	length	NOUN
ajst-19145	53	21	to	to	PART
ajst-19145	53	22	more	more	ADV
ajst-19145	53	23	fully	fully	ADV
ajst-19145	53	24	understand	understand	VERB
ajst-19145	53	25	and	and	CCONJ
ajst-19145	53	26	analyze	analyze	VERB
ajst-19145	53	27	the	the	DET
ajst-19145	53	28	evolution	evolution	NOUN
ajst-19145	53	29	of	of	ADP
ajst-19145	53	30	actions	action	NOUN
ajst-19145	53	31	.	.	PUNCT
ajst-19145	54	1	in	in	ADP
ajst-19145	54	2	addition	addition	NOUN
ajst-19145	54	3	,	,	PUNCT
ajst-19145	54	4	deep	deep	ADJ
ajst-19145	54	5	learning	learning	NOUN
ajst-19145	54	6	models	model	NOUN
ajst-19145	54	7	can	can	AUX
ajst-19145	54	8	also	also	ADV
ajst-19145	54	9	dynamically	dynamically	ADV
ajst-19145	54	10	focus	focus	VERB
ajst-19145	54	11	on	on	ADP
ajst-19145	54	12	important	important	ADJ
ajst-19145	54	13	parts	part	NOUN
ajst-19145	54	14	of	of	ADP
ajst-19145	54	15	action	action	NOUN
ajst-19145	54	16	sequences	sequence	NOUN
ajst-19145	54	17	by	by	ADP
ajst-19145	54	18	introducing	introduce	VERB
ajst-19145	54	19	attention	attention	NOUN
ajst-19145	54	20	mechanisms	mechanism	NOUN
ajst-19145	54	21	,	,	PUNCT
ajst-19145	54	22	improving	improve	VERB
ajst-19145	54	23	the	the	DET
ajst-19145	54	24	processing	processing	NOUN
ajst-19145	54	25	efficiency	efficiency	NOUN
ajst-19145	54	26	and	and	CCONJ
ajst-19145	54	27	accuracy	accuracy	NOUN
ajst-19145	54	28	of	of	ADP
ajst-19145	54	29	long	long	ADJ
ajst-19145	54	30	time	time	NOUN
ajst-19145	54	31	series	series	NOUN
ajst-19145	54	32	.	.	PUNCT
ajst-19145	55	1	overall	overall	ADV
ajst-19145	55	2	,	,	PUNCT
ajst-19145	55	3	the	the	DET
ajst-19145	55	4	advantage	advantage	NOUN
ajst-19145	55	5	of	of	ADP
ajst-19145	55	6	deep	deep	ADJ
ajst-19145	55	7	learning	learning	NOUN
ajst-19145	55	8	motion	motion	NOUN
ajst-19145	55	9	recognition	recognition	NOUN
ajst-19145	55	10	method	method	NOUN
ajst-19145	55	11	in	in	ADP
ajst-19145	55	12	capturing	capture	VERB
ajst-19145	55	13	temporal	temporal	ADJ
ajst-19145	55	14	dynamics	dynamic	NOUN
ajst-19145	55	15	makes	make	VERB
ajst-19145	55	16	it	it	PRON
ajst-19145	55	17	one	one	NUM
ajst-19145	55	18	of	of	ADP
ajst-19145	55	19	the	the	DET
ajst-19145	55	20	mainstream	mainstream	NOUN
ajst-19145	55	21	methods	method	NOUN
ajst-19145	55	22	in	in	ADP
ajst-19145	55	23	the	the	DET
ajst-19145	55	24	field	field	NOUN
ajst-19145	55	25	of	of	ADP
ajst-19145	55	26	motion	motion	NOUN
ajst-19145	55	27	recognition	recognition	NOUN
ajst-19145	55	28	,	,	PUNCT
ajst-19145	55	29	which	which	PRON
ajst-19145	55	30	provides	provide	VERB
ajst-19145	55	31	strong	strong	ADJ
ajst-19145	55	32	support	support	NOUN
ajst-19145	55	33	for	for	ADP
ajst-19145	55	34	realizing	realize	VERB
ajst-19145	55	35	more	more	ADV
ajst-19145	55	36	accurate	accurate	ADJ
ajst-19145	55	37	and	and	CCONJ
ajst-19145	55	38	robust	robust	ADJ
ajst-19145	55	39	motion	motion	NOUN
ajst-19145	55	40	recognition	recognition	NOUN
ajst-19145	55	41	tasks	task	NOUN
ajst-19145	55	42	.	.	PUNCT
ajst-19145	56	1	2.3	2.3	NUM
ajst-19145	56	2	.	.	PUNCT
ajst-19145	57	1	rgb	rgb	PROPN
ajst-19145	57	2	human	human	PROPN
ajst-19145	57	3	body	body	NOUN
ajst-19145	57	4	recognition	recognition	NOUN
ajst-19145	57	5	and	and	CCONJ
ajst-19145	57	6	tracking	tracking	NOUN
ajst-19145	57	7	in	in	ADP
ajst-19145	57	8	recent	recent	ADJ
ajst-19145	57	9	years	year	NOUN
ajst-19145	57	10	,	,	PUNCT
ajst-19145	57	11	many	many	ADJ
ajst-19145	57	12	researchers	researcher	NOUN
ajst-19145	57	13	have	have	AUX
ajst-19145	57	14	tried	try	VERB
ajst-19145	57	15	to	to	PART
ajst-19145	57	16	integrate	integrate	VERB
ajst-19145	57	17	rgb	rgb	PROPN
ajst-19145	57	18	video	video	NOUN
ajst-19145	57	19	sequences	sequence	NOUN
ajst-19145	57	20	texture	texture	ADJ
ajst-19145	57	21	information	information	NOUN
ajst-19145	57	22	in	in	ADP
ajst-19145	57	23	a	a	DET
ajst-19145	57	24	column	column	NOUN
ajst-19145	57	25	,	,	PUNCT
ajst-19145	57	26	depth	depth	NOUN
ajst-19145	57	27	information	information	NOUN
ajst-19145	57	28	in	in	ADP
ajst-19145	57	29	a	a	DET
ajst-19145	57	30	depth	depth	NOUN
ajst-19145	57	31	motion	motion	NOUN
ajst-19145	57	32	diagram	diagram	NOUN
ajst-19145	57	33	,	,	PUNCT
ajst-19145	57	34	or	or	CCONJ
ajst-19145	57	35	bone	bone	NOUN
ajst-19145	57	36	diagram	diagram	NOUN
ajst-19145	57	37	bone	bone	NOUN
ajst-19145	57	38	position	position	NOUN
ajst-19145	57	39	information	information	NOUN
ajst-19145	57	40	.	.	PUNCT
ajst-19145	58	1	spatiotemporal	spatiotemporal	ADJ
ajst-19145	58	2	gradient	gradient	PROPN
ajst-19145	58	3	autocorrelation	autocorrelation	NOUN
ajst-19145	58	4	vector	vector	NOUN
ajst-19145	58	5	features	feature	NOUN
ajst-19145	58	6	and	and	CCONJ
ajst-19145	58	7	gradient	gradient	ADJ
ajst-19145	58	8	local	local	ADJ
ajst-19145	58	9	autocorrelation	autocorrelation	NOUN
ajst-19145	58	10	feature	feature	NOUN
ajst-19145	58	11	(	(	PUNCT
ajst-19145	58	12	glac	glac	PROPN
ajst-19145	58	13	)	)	PUNCT
ajst-19145	58	14	were	be	AUX
ajst-19145	58	15	extracted	extract	VERB
ajst-19145	58	16	using	use	VERB
ajst-19145	58	17	depth	depth	NOUN
ajst-19145	58	18	maps	map	NOUN
ajst-19145	58	19	.	.	PUNCT
ajst-19145	59	1	at	at	ADP
ajst-19145	59	2	the	the	DET
ajst-19145	59	3	same	same	ADJ
ajst-19145	59	4	time	time	NOUN
ajst-19145	59	5	,	,	PUNCT
ajst-19145	59	6	static	static	PROPN
ajst-19145	59	7	pose	pose	NOUN
ajst-19145	59	8	model	model	NOUN
ajst-19145	59	9	,	,	PUNCT
ajst-19145	59	10	motion	motion	NOUN
ajst-19145	59	11	model	model	NOUN
ajst-19145	59	12	and	and	CCONJ
ajst-19145	59	13	dynamic	dynamic	ADJ
ajst-19145	59	14	migration	migration	NOUN
ajst-19145	59	15	model	model	NOUN
ajst-19145	59	16	of	of	ADP
ajst-19145	59	17	skeletal	skeletal	ADJ
ajst-19145	59	18	frame	frame	NOUN
ajst-19145	59	19	images	image	NOUN
ajst-19145	59	20	were	be	AUX
ajst-19145	59	21	used	use	VERB
ajst-19145	59	22	to	to	PART
ajst-19145	59	23	represent	represent	VERB
ajst-19145	59	24	the	the	DET
ajst-19145	59	25	underlying	underlie	VERB
ajst-19145	59	26	features	feature	NOUN
ajst-19145	59	27	of	of	ADP
ajst-19145	59	28	the	the	DET
ajst-19145	59	29	actions	action	NOUN
ajst-19145	59	30	,	,	PUNCT
ajst-19145	59	31	and	and	CCONJ
ajst-19145	59	32	weight	weight	NOUN
ajst-19145	59	33	voting	voting	NOUN
ajst-19145	59	34	mechanism	mechanism	NOUN
ajst-19145	59	35	was	be	AUX
ajst-19145	59	36	used	use	VERB
ajst-19145	59	37	to	to	PART
ajst-19145	59	38	integrate	integrate	VERB
ajst-19145	59	39	the	the	DET
ajst-19145	59	40	above	above	ADJ
ajst-19145	59	41	features	feature	NOUN
ajst-19145	59	42	.	.	PUNCT
ajst-19145	60	1	imran	imran	PROPN
ajst-19145	60	2	et	et	PROPN
ajst-19145	60	3	al	al	PROPN
ajst-19145	60	4	.	.	PROPN
ajst-19145	60	5	used	use	VERB
ajst-19145	60	6	rgb	rgb	PROPN
ajst-19145	60	7	sequence	sequence	NOUN
ajst-19145	60	8	and	and	CCONJ
ajst-19145	60	9	depth	depth	NOUN
ajst-19145	60	10	map	map	NOUN
ajst-19145	60	11	sequence	sequence	NOUN
ajst-19145	60	12	to	to	PART
ajst-19145	60	13	calculate	calculate	VERB
ajst-19145	60	14	motion	motion	NOUN
ajst-19145	60	15	history	history	NOUN
ajst-19145	60	16	map	map	NOUN
ajst-19145	60	17	(	(	PUNCT
ajst-19145	60	18	mhi	mhi	PROPN
ajst-19145	60	19	)	)	PUNCT
ajst-19145	60	20	and	and	CCONJ
ajst-19145	60	21	dmm	dmm	PROPN
ajst-19145	60	22	,	,	PUNCT
ajst-19145	60	23	respectively	respectively	ADV
ajst-19145	60	24	.	.	PUNCT
ajst-19145	61	1	and	and	CCONJ
ajst-19145	61	2	input	input	NOUN
ajst-19145	61	3	into	into	ADP
ajst-19145	61	4	four	four	NUM
ajst-19145	61	5	independent	independent	ADJ
ajst-19145	61	6	convolutional	convolutional	ADJ
ajst-19145	61	7	neural	neural	ADJ
ajst-19145	61	8	networks	network	NOUN
ajst-19145	61	9	(	(	PUNCT
ajst-19145	61	10	cnns	cnns	PROPN
ajst-19145	61	11	)	)	PUNCT
ajst-19145	61	12	for	for	ADP
ajst-19145	61	13	training	training	NOUN
ajst-19145	61	14	,	,	PUNCT
ajst-19145	61	15	and	and	CCONJ
ajst-19145	61	16	finally	finally	ADV
ajst-19145	61	17	fuse	fuse	VERB
ajst-19145	61	18	the	the	DET
ajst-19145	61	19	output	output	NOUN
ajst-19145	61	20	of	of	ADP
ajst-19145	61	21	each	each	DET
ajst-19145	61	22	cnn	cnn	PROPN
ajst-19145	61	23	network	network	PROPN
ajst-19145	61	24	score	score	PROPN
ajst-19145	61	25	.	.	PUNCT
ajst-19145	62	1	luo	luo	PROPN
ajst-19145	62	2	et	et	PROPN
ajst-19145	62	3	al	al	PROPN
ajst-19145	62	4	.	.	PROPN
ajst-19145	62	5	extracted	extract	VERB
ajst-19145	62	6	the	the	DET
ajst-19145	62	7	central	central	ADJ
ajst-19145	62	8	symmetric	symmetric	ADJ
ajst-19145	62	9	local	local	ADJ
ajst-19145	62	10	operation	operation	NOUN
ajst-19145	62	11	of	of	ADP
ajst-19145	62	12	rgb	rgb	PROPN
ajst-19145	62	13	sequences	sequence	NOUN
ajst-19145	62	14	respectively	respectively	ADV
ajst-19145	62	15	dynamic	dynamic	ADJ
ajst-19145	62	16	feature	feature	NOUN
ajst-19145	62	17	(	(	PUNCT
ajst-19145	62	18	cs	cs	PROPN
ajst-19145	62	19	-	-	ADJ
ajst-19145	62	20	mltp	mltp	NOUN
ajst-19145	62	21	)	)	PUNCT
ajst-19145	62	22	and	and	CCONJ
ajst-19145	62	23	three	three	NUM
ajst-19145	62	24	-	-	PUNCT
ajst-19145	62	25	dimensional	dimensional	ADJ
ajst-19145	62	26	position	position	NOUN
ajst-19145	62	27	information	information	NOUN
ajst-19145	62	28	feature	feature	NOUN
ajst-19145	62	29	of	of	ADP
ajst-19145	62	30	depth	depth	NOUN
ajst-19145	62	31	map	map	NOUN
ajst-19145	62	32	sequence	sequence	NOUN
ajst-19145	62	33	are	be	AUX
ajst-19145	62	34	described	describe	VERB
ajst-19145	62	35	by	by	ADP
ajst-19145	62	36	sparse	sparse	ADJ
ajst-19145	62	37	coding	coding	NOUN
ajst-19145	62	38	based	base	VERB
ajst-19145	62	39	time	time	NOUN
ajst-19145	62	40	pyramid	pyramid	NOUN
ajst-19145	62	41	(	(	PUNCT
ajst-19145	62	42	sctpm	sctpm	PROPN
ajst-19145	62	43	)	)	PUNCT
ajst-19145	62	44	,	,	PUNCT
ajst-19145	62	45	and	and	CCONJ
ajst-19145	62	46	the	the	DET
ajst-19145	62	47	recognition	recognition	NOUN
ajst-19145	62	48	effect	effect	NOUN
ajst-19145	62	49	of	of	ADP
ajst-19145	62	50	feature	feature	NOUN
ajst-19145	62	51	layer	layer	NOUN
ajst-19145	62	52	fusion	fusion	NOUN
ajst-19145	62	53	and	and	CCONJ
ajst-19145	62	54	fraction	fraction	NOUN
ajst-19145	62	55	fusion	fusion	NOUN
ajst-19145	62	56	is	be	AUX
ajst-19145	62	57	compared	compare	VERB
ajst-19145	62	58	respectively	respectively	ADV
ajst-19145	62	59	.	.	PUNCT
ajst-19145	63	1	traditional	traditional	ADJ
ajst-19145	63	2	rgb	rgb	PROPN
ajst-19145	63	3	human	human	PROPN
ajst-19145	63	4	behavior	behavior	NOUN
ajst-19145	63	5	recognition	recognition	NOUN
ajst-19145	63	6	feature	feature	NOUN
ajst-19145	63	7	extraction	extraction	NOUN
ajst-19145	63	8	adopts	adopt	VERB
ajst-19145	63	9	manual	manual	ADJ
ajst-19145	63	10	annotation	annotation	NOUN
ajst-19145	63	11	,	,	PUNCT
ajst-19145	63	12	while	while	SCONJ
ajst-19145	63	13	deep	deep	ADJ
ajst-19145	63	14	learningbased	learningbase	VERB
ajst-19145	63	15	rgb	rgb	PROPN
ajst-19145	63	16	human	human	PROPN
ajst-19145	63	17	behavior	behavior	NOUN
ajst-19145	63	18	recognition	recognition	NOUN
ajst-19145	63	19	adopts	adopt	VERB
ajst-19145	63	20	deep	deep	ADJ
ajst-19145	63	21	architecture	architecture	NOUN
ajst-19145	63	22	feature	feature	NOUN
ajst-19145	63	23	extraction	extraction	NOUN
ajst-19145	63	24	.	.	PUNCT
ajst-19145	64	1	the	the	DET
ajst-19145	64	2	following	follow	VERB
ajst-19145	64	3	summarizes	summarize	VERB
ajst-19145	64	4	the	the	DET
ajst-19145	64	5	methods	method	NOUN
ajst-19145	64	6	of	of	ADP
ajst-19145	64	7	manual	manual	ADJ
ajst-19145	64	8	feature	feature	NOUN
ajst-19145	64	9	and	and	CCONJ
ajst-19145	64	10	depth	depth	NOUN
ajst-19145	64	11	architecture	architecture	NOUN
ajst-19145	64	12	based	base	VERB
ajst-19145	64	13	on	on	ADP
ajst-19145	64	14	rgb	rgb	PROPN
ajst-19145	64	15	respectively	respectively	ADV
ajst-19145	64	16	.	.	PUNCT
ajst-19145	65	1	1.1	1.1	NUM
ajst-19145	65	2	manual	manual	ADJ
ajst-19145	65	3	feature	feature	NOUN
ajst-19145	65	4	method	method	NOUN
ajst-19145	65	5	based	base	VERB
ajst-19145	65	6	on	on	ADP
ajst-19145	65	7	rgb	rgb	PROPN
ajst-19145	65	8	human	human	ADJ
ajst-19145	65	9	behavior	behavior	NOUN
ajst-19145	65	10	recognition	recognition	NOUN
ajst-19145	65	11	methods	method	NOUN
ajst-19145	65	12	based	base	VERB
ajst-19145	65	13	on	on	ADP
ajst-19145	65	14	manual	manual	ADJ
ajst-19145	65	15	features	feature	NOUN
ajst-19145	65	16	generally	generally	ADV
ajst-19145	65	17	include	include	VERB
ajst-19145	65	18	two	two	NUM
ajst-19145	65	19	main	main	ADJ
ajst-19145	65	20	steps	step	NOUN
ajst-19145	65	21	:	:	PUNCT
ajst-19145	65	22	behavior	behavior	NOUN
ajst-19145	65	23	representation	representation	NOUN
ajst-19145	65	24	and	and	CCONJ
ajst-19145	65	25	behavior	behavior	NOUN
ajst-19145	65	26	classification	classification	NOUN
ajst-19145	65	27	.	.	PUNCT
ajst-19145	66	1	the	the	DET
ajst-19145	66	2	goal	goal	NOUN
ajst-19145	66	3	of	of	ADP
ajst-19145	66	4	behavior	behavior	NOUN
ajst-19145	66	5	representation	representation	NOUN
ajst-19145	66	6	is	be	AUX
ajst-19145	66	7	to	to	PART
ajst-19145	66	8	convert	convert	VERB
ajst-19145	66	9	video	video	NOUN
ajst-19145	66	10	information	information	NOUN
ajst-19145	66	11	into	into	ADP
ajst-19145	66	12	feature	feature	NOUN
ajst-19145	66	13	vectors	vector	NOUN
ajst-19145	66	14	,	,	PUNCT
ajst-19145	66	15	extract	extract	VERB
ajst-19145	66	16	representative	representative	NOUN
ajst-19145	66	17	and	and	CCONJ
ajst-19145	66	18	discriminative	discriminative	NOUN
ajst-19145	66	19	information	information	NOUN
ajst-19145	66	20	of	of	ADP
ajst-19145	66	21	human	human	ADJ
ajst-19145	66	22	behavior	behavior	NOUN
ajst-19145	66	23	,	,	PUNCT
ajst-19145	66	24	and	and	CCONJ
ajst-19145	66	25	minimize	minimize	VERB
ajst-19145	66	26	changes	change	NOUN
ajst-19145	66	27	to	to	PART
ajst-19145	66	28	improve	improve	VERB
ajst-19145	66	29	recognition	recognition	NOUN
ajst-19145	66	30	performance	performance	NOUN
ajst-19145	66	31	.	.	PUNCT
ajst-19145	67	1	the	the	DET
ajst-19145	67	2	methods	method	NOUN
ajst-19145	67	3	of	of	ADP
ajst-19145	67	4	behavior	behavior	NOUN
ajst-19145	67	5	representation	representation	NOUN
ajst-19145	67	6	can	can	AUX
ajst-19145	67	7	be	be	AUX
ajst-19145	67	8	roughly	roughly	ADV
ajst-19145	67	9	divided	divide	VERB
ajst-19145	67	10	into	into	ADP
ajst-19145	67	11	global	global	ADJ
ajst-19145	67	12	feature	feature	NOUN
ajst-19145	67	13	representation	representation	NOUN
ajst-19145	67	14	and	and	CCONJ
ajst-19145	67	15	local	local	ADJ
ajst-19145	67	16	feature	feature	NOUN
ajst-19145	67	17	representation	representation	NOUN
ajst-19145	67	18	.	.	PUNCT
ajst-19145	68	1	the	the	DET
ajst-19145	68	2	global	global	ADJ
ajst-19145	68	3	representation	representation	NOUN
ajst-19145	68	4	method	method	NOUN
ajst-19145	68	5	can	can	AUX
ajst-19145	68	6	capture	capture	VERB
ajst-19145	68	7	the	the	DET
ajst-19145	68	8	motion	motion	NOUN
ajst-19145	68	9	information	information	NOUN
ajst-19145	68	10	of	of	ADP
ajst-19145	68	11	the	the	DET
ajst-19145	68	12	whole	whole	ADJ
ajst-19145	68	13	body	body	NOUN
ajst-19145	68	14	,	,	PUNCT
ajst-19145	68	15	but	but	CCONJ
ajst-19145	68	16	because	because	SCONJ
ajst-19145	68	17	the	the	DET
ajst-19145	68	18	information	information	NOUN
ajst-19145	68	19	capture	capture	NOUN
ajst-19145	68	20	area	area	NOUN
ajst-19145	68	21	is	be	AUX
ajst-19145	68	22	a	a	DET
ajst-19145	68	23	fixed	fix	VERB
ajst-19145	68	24	rectangle	rectangle	NOUN
ajst-19145	68	25	,	,	PUNCT
ajst-19145	68	26	it	it	PRON
ajst-19145	68	27	will	will	AUX
ajst-19145	68	28	introduce	introduce	VERB
ajst-19145	68	29	irrelevant	irrelevant	ADJ
ajst-19145	68	30	background	background	NOUN
ajst-19145	68	31	information	information	NOUN
ajst-19145	68	32	.	.	PUNCT
ajst-19145	69	1	bobick	bobick	NOUN
ajst-19145	69	2	,	,	PUNCT
ajst-19145	69	3	wait	wait	VERB
ajst-19145	69	4	!	!	PUNCT
ajst-19145	70	1	based	base	VERB
ajst-19145	70	2	on	on	ADP
ajst-19145	70	3	global	global	ADJ
ajst-19145	70	4	representation	representation	NOUN
ajst-19145	70	5	,	,	PUNCT
ajst-19145	70	6	motion	motion	NOUN
ajst-19145	70	7	energy	energy	NOUN
ajst-19145	70	8	image	image	NOUN
ajst-19145	70	9	(	(	PUNCT
ajst-19145	70	10	mei	mei	PROPN
ajst-19145	70	11	)	)	PUNCT
ajst-19145	70	12	and	and	CCONJ
ajst-19145	70	13	motion	motion	NOUN
ajst-19145	70	14	history	history	NOUN
ajst-19145	70	15	image	image	NOUN
ajst-19145	70	16	(	(	PUNCT
ajst-19145	70	17	mhi	mhi	PROPN
ajst-19145	70	18	)	)	PUNCT
ajst-19145	70	19	are	be	AUX
ajst-19145	70	20	proposed	propose	VERB
ajst-19145	70	21	to	to	PART
ajst-19145	70	22	encode	encode	VERB
ajst-19145	70	23	a	a	DET
ajst-19145	70	24	single	single	ADJ
ajst-19145	70	25	image	image	NOUN
ajst-19145	70	26	of	of	ADP
ajst-19145	70	27	a	a	DET
ajst-19145	70	28	dynamic	dynamic	ADJ
ajst-19145	70	29	human	human	ADJ
ajst-19145	70	30	body	body	NOUN
ajst-19145	70	31	.	.	PUNCT
ajst-19145	71	1	52	52	NUM
ajst-19145	71	2	figure	figure	NOUN
ajst-19145	71	3	1	1	NUM
ajst-19145	71	4	.	.	PUNCT
ajst-19145	71	5	example	example	NOUN
ajst-19145	71	6	of	of	ADP
ajst-19145	71	7	rgb	rgb	PROPN
ajst-19145	71	8	bone	bone	NOUN
ajst-19145	71	9	behavior	behavior	NOUN
ajst-19145	71	10	recognition	recognition	NOUN
ajst-19145	71	11	based	base	VERB
ajst-19145	71	12	on	on	ADP
ajst-19145	71	13	the	the	DET
ajst-19145	71	14	previous	previous	ADJ
ajst-19145	71	15	review	review	NOUN
ajst-19145	71	16	,	,	PUNCT
ajst-19145	71	17	this	this	DET
ajst-19145	71	18	paper	paper	NOUN
ajst-19145	71	19	aims	aim	VERB
ajst-19145	71	20	to	to	PART
ajst-19145	71	21	explore	explore	VERB
ajst-19145	71	22	deep	deep	ADJ
ajst-19145	71	23	learning	learning	NOUN
ajst-19145	71	24	methods	method	NOUN
ajst-19145	71	25	in	in	ADP
ajst-19145	71	26	the	the	DET
ajst-19145	71	27	field	field	NOUN
ajst-19145	71	28	of	of	ADP
ajst-19145	71	29	human	human	ADJ
ajst-19145	71	30	behavior	behavior	NOUN
ajst-19145	71	31	recognition	recognition	NOUN
ajst-19145	71	32	and	and	CCONJ
ajst-19145	71	33	apply	apply	VERB
ajst-19145	71	34	them	they	PRON
ajst-19145	71	35	to	to	PART
ajst-19145	71	36	realize	realize	VERB
ajst-19145	71	37	yoga	yoga	NOUN
ajst-19145	71	38	pose	pose	NOUN
ajst-19145	71	39	recognition	recognition	NOUN
ajst-19145	71	40	.	.	PUNCT
ajst-19145	72	1	after	after	ADP
ajst-19145	72	2	introducing	introduce	VERB
ajst-19145	72	3	traditional	traditional	ADJ
ajst-19145	72	4	methods	method	NOUN
ajst-19145	72	5	and	and	CCONJ
ajst-19145	72	6	human	human	ADJ
ajst-19145	72	7	behavior	behavior	NOUN
ajst-19145	72	8	recognition	recognition	NOUN
ajst-19145	72	9	methods	method	NOUN
ajst-19145	72	10	based	base	VERB
ajst-19145	72	11	on	on	ADP
ajst-19145	72	12	deep	deep	ADJ
ajst-19145	72	13	learning	learning	NOUN
ajst-19145	72	14	,	,	PUNCT
ajst-19145	72	15	this	this	DET
ajst-19145	72	16	paper	paper	NOUN
ajst-19145	72	17	will	will	AUX
ajst-19145	72	18	focus	focus	VERB
ajst-19145	72	19	on	on	ADP
ajst-19145	72	20	human	human	ADJ
ajst-19145	72	21	behavior	behavior	NOUN
ajst-19145	72	22	recognition	recognition	NOUN
ajst-19145	72	23	methods	method	NOUN
ajst-19145	72	24	based	base	VERB
ajst-19145	72	25	on	on	ADP
ajst-19145	72	26	rgb	rgb	PROPN
ajst-19145	72	27	images	image	NOUN
ajst-19145	72	28	.	.	PUNCT
ajst-19145	73	1	specifically	specifically	ADV
ajst-19145	73	2	,	,	PUNCT
ajst-19145	73	3	we	we	PRON
ajst-19145	73	4	will	will	AUX
ajst-19145	73	5	employ	employ	VERB
ajst-19145	73	6	a	a	DET
ajst-19145	73	7	deep	deep	ADJ
ajst-19145	73	8	learning	learning	NOUN
ajst-19145	73	9	architecture	architecture	NOUN
ajst-19145	73	10	for	for	ADP
ajst-19145	73	11	feature	feature	NOUN
ajst-19145	73	12	extraction	extraction	NOUN
ajst-19145	73	13	to	to	PART
ajst-19145	73	14	improve	improve	VERB
ajst-19145	73	15	recognition	recognition	NOUN
ajst-19145	73	16	performance	performance	NOUN
ajst-19145	73	17	and	and	CCONJ
ajst-19145	73	18	accuracy	accuracy	NOUN
ajst-19145	73	19	.	.	PUNCT
ajst-19145	74	1	traditional	traditional	ADJ
ajst-19145	74	2	methods	method	NOUN
ajst-19145	74	3	based	base	VERB
ajst-19145	74	4	on	on	ADP
ajst-19145	74	5	manual	manual	ADJ
ajst-19145	74	6	features	feature	NOUN
ajst-19145	74	7	have	have	VERB
ajst-19145	74	8	limitations	limitation	NOUN
ajst-19145	74	9	,	,	PUNCT
ajst-19145	74	10	so	so	SCONJ
ajst-19145	74	11	we	we	PRON
ajst-19145	74	12	will	will	AUX
ajst-19145	74	13	employ	employ	VERB
ajst-19145	74	14	deep	deep	ADJ
ajst-19145	74	15	learning	learning	NOUN
ajst-19145	74	16	models	model	NOUN
ajst-19145	74	17	such	such	ADJ
ajst-19145	74	18	as	as	ADP
ajst-19145	74	19	convolutional	convolutional	ADJ
ajst-19145	74	20	neural	neural	ADJ
ajst-19145	74	21	networks	network	NOUN
ajst-19145	74	22	(	(	PUNCT
ajst-19145	74	23	cnn	cnn	PROPN
ajst-19145	74	24	)	)	PUNCT
ajst-19145	74	25	and	and	CCONJ
ajst-19145	74	26	recurrent	recurrent	ADJ
ajst-19145	74	27	neural	neural	ADJ
ajst-19145	74	28	networks	network	NOUN
ajst-19145	74	29	(	(	PUNCT
ajst-19145	74	30	rnn	rnn	PROPN
ajst-19145	74	31	)	)	PUNCT
ajst-19145	74	32	to	to	PART
ajst-19145	74	33	directly	directly	ADV
ajst-19145	74	34	learn	learn	VERB
ajst-19145	74	35	complex	complex	ADJ
ajst-19145	74	36	patterns	pattern	NOUN
ajst-19145	74	37	and	and	CCONJ
ajst-19145	74	38	temporal	temporal	ADJ
ajst-19145	74	39	dynamics	dynamic	NOUN
ajst-19145	74	40	in	in	ADP
ajst-19145	74	41	video	video	NOUN
ajst-19145	74	42	data	datum	NOUN
ajst-19145	74	43	.	.	PUNCT
ajst-19145	75	1	by	by	ADP
ajst-19145	75	2	discussing	discuss	VERB
ajst-19145	75	3	the	the	DET
ajst-19145	75	4	advantages	advantage	NOUN
ajst-19145	75	5	of	of	ADP
ajst-19145	75	6	deep	deep	ADJ
ajst-19145	75	7	learning	learning	NOUN
ajst-19145	75	8	models	model	NOUN
ajst-19145	75	9	in	in	ADP
ajst-19145	75	10	capturing	capture	VERB
ajst-19145	75	11	temporal	temporal	ADJ
ajst-19145	75	12	dynamics	dynamic	NOUN
ajst-19145	75	13	,	,	PUNCT
ajst-19145	75	14	this	this	DET
ajst-19145	75	15	paper	paper	NOUN
ajst-19145	75	16	will	will	AUX
ajst-19145	75	17	introduce	introduce	VERB
ajst-19145	75	18	their	their	PRON
ajst-19145	75	19	ability	ability	NOUN
ajst-19145	75	20	to	to	PART
ajst-19145	75	21	handle	handle	VERB
ajst-19145	75	22	multiple	multiple	ADJ
ajst-19145	75	23	time	time	NOUN
ajst-19145	75	24	scales	scale	NOUN
ajst-19145	75	25	and	and	CCONJ
ajst-19145	75	26	introduce	introduce	VERB
ajst-19145	75	27	attention	attention	NOUN
ajst-19145	75	28	mechanisms	mechanism	NOUN
ajst-19145	75	29	to	to	PART
ajst-19145	75	30	dynamically	dynamically	ADV
ajst-19145	75	31	focus	focus	VERB
ajst-19145	75	32	on	on	ADP
ajst-19145	75	33	important	important	ADJ
ajst-19145	75	34	action	action	NOUN
ajst-19145	75	35	parts	part	NOUN
ajst-19145	75	36	.	.	PUNCT
ajst-19145	76	1	through	through	ADP
ajst-19145	76	2	this	this	DET
ajst-19145	76	3	research	research	NOUN
ajst-19145	76	4	,	,	PUNCT
ajst-19145	76	5	we	we	PRON
ajst-19145	76	6	hope	hope	VERB
ajst-19145	76	7	to	to	PART
ajst-19145	76	8	better	well	ADV
ajst-19145	76	9	understand	understand	VERB
ajst-19145	76	10	and	and	CCONJ
ajst-19145	76	11	apply	apply	VERB
ajst-19145	76	12	the	the	DET
ajst-19145	76	13	potential	potential	NOUN
ajst-19145	76	14	of	of	ADP
ajst-19145	76	15	deep	deep	ADJ
ajst-19145	76	16	learning	learning	NOUN
ajst-19145	76	17	models	model	NOUN
ajst-19145	76	18	in	in	ADP
ajst-19145	76	19	the	the	DET
ajst-19145	76	20	field	field	NOUN
ajst-19145	76	21	of	of	ADP
ajst-19145	76	22	human	human	ADJ
ajst-19145	76	23	behavior	behavior	NOUN
ajst-19145	76	24	recognition	recognition	NOUN
ajst-19145	76	25	,	,	PUNCT
ajst-19145	76	26	and	and	CCONJ
ajst-19145	76	27	provide	provide	VERB
ajst-19145	76	28	support	support	NOUN
ajst-19145	76	29	for	for	ADP
ajst-19145	76	30	the	the	DET
ajst-19145	76	31	realization	realization	NOUN
ajst-19145	76	32	of	of	ADP
ajst-19145	76	33	more	more	ADV
ajst-19145	76	34	accurate	accurate	ADJ
ajst-19145	76	35	and	and	CCONJ
ajst-19145	76	36	reliable	reliable	ADJ
ajst-19145	76	37	human	human	ADJ
ajst-19145	76	38	behavior	behavior	NOUN
ajst-19145	76	39	recognition	recognition	NOUN
ajst-19145	76	40	technology	technology	NOUN
ajst-19145	76	41	.	.	PUNCT
ajst-19145	77	1	3	3	X
ajst-19145	77	2	.	.	X
ajst-19145	77	3	methodology	methodology	NOUN
ajst-19145	77	4	this	this	DET
ajst-19145	77	5	research	research	NOUN
ajst-19145	77	6	is	be	AUX
ajst-19145	77	7	based	base	VERB
ajst-19145	77	8	on	on	ADP
ajst-19145	77	9	deep	deep	ADJ
ajst-19145	77	10	learning	learning	NOUN
ajst-19145	77	11	technology	technology	NOUN
ajst-19145	77	12	,	,	PUNCT
ajst-19145	77	13	especially	especially	ADV
ajst-19145	77	14	the	the	DET
ajst-19145	77	15	mediapipe	mediapipe	NOUN
ajst-19145	77	16	and	and	CCONJ
ajst-19145	77	17	opencv	opencv	PROPN
ajst-19145	77	18	software	software	NOUN
ajst-19145	77	19	packages	package	NOUN
ajst-19145	77	20	,	,	PUNCT
ajst-19145	77	21	aiming	aim	VERB
ajst-19145	77	22	to	to	PART
ajst-19145	77	23	realize	realize	VERB
ajst-19145	77	24	yoga	yoga	NOUN
ajst-19145	77	25	pose	pose	NOUN
ajst-19145	77	26	recognition	recognition	NOUN
ajst-19145	77	27	.	.	PUNCT
ajst-19145	78	1	the	the	DET
ajst-19145	78	2	goal	goal	NOUN
ajst-19145	78	3	of	of	ADP
ajst-19145	78	4	our	our	PRON
ajst-19145	78	5	research	research	NOUN
ajst-19145	78	6	is	be	AUX
ajst-19145	78	7	to	to	PART
ajst-19145	78	8	identify	identify	VERB
ajst-19145	78	9	poses	pose	NOUN
ajst-19145	78	10	for	for	ADP
ajst-19145	78	11	the	the	DET
ajst-19145	78	12	human	human	ADJ
ajst-19145	78	13	body	body	NOUN
ajst-19145	78	14	,	,	PUNCT
ajst-19145	78	15	limiting	limit	VERB
ajst-19145	78	16	it	it	PRON
ajst-19145	78	17	to	to	ADP
ajst-19145	78	18	three	three	NUM
ajst-19145	78	19	common	common	ADJ
ajst-19145	78	20	yoga	yoga	NOUN
ajst-19145	78	21	poses	pose	NOUN
ajst-19145	78	22	:	:	PUNCT
ajst-19145	78	23	t	t	X
ajst-19145	78	24	-	-	PUNCT
ajst-19145	78	25	pose	pose	NOUN
ajst-19145	78	26	,	,	PUNCT
ajst-19145	78	27	tree	tree	NOUN
ajst-19145	78	28	-	-	PUNCT
ajst-19145	78	29	pose	pose	NOUN
ajst-19145	78	30	and	and	CCONJ
ajst-19145	78	31	warriorpose	warriorpose	ADJ
ajst-19145	78	32	.	.	PUNCT
ajst-19145	79	1	the	the	DET
ajst-19145	79	2	experimental	experimental	ADJ
ajst-19145	79	3	process	process	NOUN
ajst-19145	79	4	mainly	mainly	ADV
ajst-19145	79	5	includes	include	VERB
ajst-19145	79	6	the	the	DET
ajst-19145	79	7	following	follow	VERB
ajst-19145	79	8	steps	step	NOUN
ajst-19145	79	9	:	:	PUNCT
ajst-19145	79	10	1	1	X
ajst-19145	79	11	.	.	X
ajst-19145	79	12	install	install	VERB
ajst-19145	79	13	the	the	DET
ajst-19145	79	14	necessary	necessary	ADJ
ajst-19145	79	15	packages	package	NOUN
ajst-19145	79	16	,	,	PUNCT
ajst-19145	79	17	including	include	VERB
ajst-19145	79	18	mediapipe	mediapipe	NOUN
ajst-19145	79	19	and	and	CCONJ
ajst-19145	79	20	opencv	opencv	PROPN
ajst-19145	79	21	,	,	PUNCT
ajst-19145	79	22	for	for	ADP
ajst-19145	79	23	image	image	NOUN
ajst-19145	79	24	processing	processing	NOUN
ajst-19145	79	25	and	and	CCONJ
ajst-19145	79	26	pose	pose	NOUN
ajst-19145	79	27	recognition	recognition	NOUN
ajst-19145	79	28	.	.	PUNCT
ajst-19145	80	1	2	2	X
ajst-19145	80	2	.	.	X
ajst-19145	80	3	import	import	VERB
ajst-19145	80	4	the	the	DET
ajst-19145	80	5	necessary	necessary	ADJ
ajst-19145	80	6	libraries	library	NOUN
ajst-19145	80	7	,	,	PUNCT
ajst-19145	80	8	such	such	ADJ
ajst-19145	80	9	as	as	ADP
ajst-19145	80	10	mediapipe	mediapipe	NOUN
ajst-19145	80	11	and	and	CCONJ
ajst-19145	80	12	opencv	opencv	PROPN
ajst-19145	80	13	,	,	PUNCT
ajst-19145	80	14	for	for	ADP
ajst-19145	80	15	programming	programming	NOUN
ajst-19145	80	16	in	in	ADP
ajst-19145	80	17	a	a	DET
ajst-19145	80	18	python	python	NOUN
ajst-19145	80	19	environment	environment	NOUN
ajst-19145	80	20	.	.	PUNCT
ajst-19145	81	1	3	3	X
ajst-19145	81	2	.	.	X
ajst-19145	81	3	initialize	initialize	NOUN
ajst-19145	81	4	mediapipe	mediapipe	NOUN
ajst-19145	81	5	and	and	CCONJ
ajst-19145	81	6	pose	pose	NOUN
ajst-19145	81	7	models	model	NOUN
ajst-19145	81	8	to	to	PART
ajst-19145	81	9	prepare	prepare	VERB
ajst-19145	81	10	for	for	ADP
ajst-19145	81	11	human	human	ADJ
ajst-19145	81	12	pose	pose	NOUN
ajst-19145	81	13	recognition	recognition	NOUN
ajst-19145	81	14	.	.	PUNCT
ajst-19145	82	1	4	4	X
ajst-19145	82	2	.	.	X
ajst-19145	82	3	read	read	VERB
ajst-19145	82	4	images	image	NOUN
ajst-19145	82	5	and	and	CCONJ
ajst-19145	82	6	identify	identify	VERB
ajst-19145	82	7	key	key	ADJ
ajst-19145	82	8	points	point	NOUN
ajst-19145	82	9	of	of	ADP
ajst-19145	82	10	the	the	DET
ajst-19145	82	11	human	human	ADJ
ajst-19145	82	12	body	body	NOUN
ajst-19145	82	13	,	,	PUNCT
ajst-19145	82	14	and	and	CCONJ
ajst-19145	82	15	use	use	VERB
ajst-19145	82	16	mediapipe	mediapipe	NOUN
ajst-19145	82	17	for	for	ADP
ajst-19145	82	18	posture	posture	NOUN
ajst-19145	82	19	estimation	estimation	NOUN
ajst-19145	82	20	.	.	PUNCT
ajst-19145	83	1	5	5	X
ajst-19145	83	2	.	.	X
ajst-19145	83	3	write	write	NOUN
ajst-19145	83	4	functions	function	NOUN
ajst-19145	83	5	to	to	PART
ajst-19145	83	6	detect	detect	VERB
ajst-19145	83	7	and	and	CCONJ
ajst-19145	83	8	identify	identify	VERB
ajst-19145	83	9	postures	posture	NOUN
ajst-19145	83	10	in	in	ADP
ajst-19145	83	11	key	key	ADJ
ajst-19145	83	12	points	point	NOUN
ajst-19145	83	13	.	.	PUNCT
ajst-19145	84	1	in	in	ADP
ajst-19145	84	2	this	this	DET
ajst-19145	84	3	step	step	NOUN
ajst-19145	84	4	,	,	PUNCT
ajst-19145	84	5	we	we	PRON
ajst-19145	84	6	can	can	AUX
ajst-19145	84	7	use	use	VERB
ajst-19145	84	8	deep	deep	ADJ
ajst-19145	84	9	learning	learning	NOUN
ajst-19145	84	10	techniques	technique	NOUN
ajst-19145	84	11	to	to	PART
ajst-19145	84	12	classify	classify	VERB
ajst-19145	84	13	key	key	ADJ
ajst-19145	84	14	points	point	NOUN
ajst-19145	84	15	to	to	PART
ajst-19145	84	16	determine	determine	VERB
ajst-19145	84	17	the	the	DET
ajst-19145	84	18	type	type	NOUN
ajst-19145	84	19	of	of	ADP
ajst-19145	84	20	pose	pose	NOUN
ajst-19145	84	21	shown	show	VERB
ajst-19145	84	22	in	in	ADP
ajst-19145	84	23	the	the	DET
ajst-19145	84	24	image	image	NOUN
ajst-19145	84	25	.	.	PUNCT
ajst-19145	85	1	6	6	X
ajst-19145	85	2	.	.	X
ajst-19145	85	3	output	output	NOUN
ajst-19145	85	4	predictive	predictive	ADJ
ajst-19145	85	5	results	result	NOUN
ajst-19145	85	6	,	,	PUNCT
ajst-19145	85	7	i.e.	i.e.	X
ajst-19145	85	8	identified	identify	VERB
ajst-19145	85	9	pose	pose	NOUN
ajst-19145	85	10	types	type	NOUN
ajst-19145	85	11	,	,	PUNCT
ajst-19145	85	12	such	such	ADJ
ajst-19145	85	13	as	as	ADP
ajst-19145	85	14	t	t	NOUN
ajst-19145	85	15	-	-	PUNCT
ajst-19145	85	16	pose	pose	NOUN
ajst-19145	85	17	,	,	PUNCT
ajst-19145	85	18	tree	tree	NOUN
ajst-19145	85	19	-	-	PUNCT
ajst-19145	85	20	pose	pose	NOUN
ajst-19145	85	21	,	,	PUNCT
ajst-19145	85	22	or	or	CCONJ
ajst-19145	85	23	warrior	warrior	NOUN
ajst-19145	85	24	-	-	PUNCT
ajst-19145	85	25	pose	pose	NOUN
ajst-19145	85	26	.	.	PUNCT
ajst-19145	86	1	in	in	ADP
ajst-19145	86	2	addition	addition	NOUN
ajst-19145	86	3	,	,	PUNCT
ajst-19145	86	4	we	we	PRON
ajst-19145	86	5	will	will	AUX
ajst-19145	86	6	also	also	ADV
ajst-19145	86	7	combine	combine	VERB
ajst-19145	86	8	some	some	DET
ajst-19145	86	9	rgb	rgb	PROPN
ajst-19145	86	10	-	-	PUNCT
ajst-19145	86	11	based	base	VERB
ajst-19145	86	12	recognition	recognition	NOUN
ajst-19145	86	13	methods	method	NOUN
ajst-19145	86	14	and	and	CCONJ
ajst-19145	86	15	use	use	VERB
ajst-19145	86	16	deep	deep	ADJ
ajst-19145	86	17	learning	learning	NOUN
ajst-19145	86	18	architecture	architecture	NOUN
ajst-19145	86	19	for	for	ADP
ajst-19145	86	20	feature	feature	NOUN
ajst-19145	86	21	extraction	extraction	NOUN
ajst-19145	86	22	and	and	CCONJ
ajst-19145	86	23	posture	posture	NOUN
ajst-19145	86	24	classification	classification	NOUN
ajst-19145	86	25	to	to	PART
ajst-19145	86	26	improve	improve	VERB
ajst-19145	86	27	recognition	recognition	NOUN
ajst-19145	86	28	performance	performance	NOUN
ajst-19145	86	29	and	and	CCONJ
ajst-19145	86	30	accuracy	accuracy	NOUN
ajst-19145	86	31	.	.	PUNCT
ajst-19145	87	1	through	through	ADP
ajst-19145	87	2	this	this	DET
ajst-19145	87	3	research	research	NOUN
ajst-19145	87	4	,	,	PUNCT
ajst-19145	87	5	we	we	PRON
ajst-19145	87	6	aim	aim	VERB
ajst-19145	87	7	to	to	PART
ajst-19145	87	8	explore	explore	VERB
ajst-19145	87	9	the	the	DET
ajst-19145	87	10	feasibility	feasibility	NOUN
ajst-19145	87	11	of	of	ADP
ajst-19145	87	12	using	use	VERB
ajst-19145	87	13	deep	deep	ADJ
ajst-19145	87	14	learning	learning	NOUN
ajst-19145	87	15	technology	technology	NOUN
ajst-19145	87	16	to	to	PART
ajst-19145	87	17	realize	realize	VERB
ajst-19145	87	18	yoga	yoga	NOUN
ajst-19145	87	19	pose	pose	NOUN
ajst-19145	87	20	recognition	recognition	NOUN
ajst-19145	87	21	,	,	PUNCT
ajst-19145	87	22	and	and	CCONJ
ajst-19145	87	23	provide	provide	VERB
ajst-19145	87	24	technical	technical	ADJ
ajst-19145	87	25	support	support	NOUN
ajst-19145	87	26	for	for	ADP
ajst-19145	87	27	applications	application	NOUN
ajst-19145	87	28	in	in	ADP
ajst-19145	87	29	related	related	ADJ
ajst-19145	87	30	fields	field	NOUN
ajst-19145	87	31	.	.	PUNCT
ajst-19145	88	1	3.1	3.1	NUM
ajst-19145	88	2	.	.	PUNCT
ajst-19145	88	3	experimental	experimental	ADJ
ajst-19145	88	4	model	model	NOUN
ajst-19145	88	5	this	this	DET
ajst-19145	88	6	part	part	NOUN
ajst-19145	88	7	of	of	ADP
ajst-19145	88	8	the	the	DET
ajst-19145	88	9	code	code	NOUN
ajst-19145	88	10	mainly	mainly	ADV
ajst-19145	88	11	imports	import	VERB
ajst-19145	88	12	the	the	DET
ajst-19145	88	13	necessary	necessary	ADJ
ajst-19145	88	14	libraries	library	NOUN
ajst-19145	88	15	and	and	CCONJ
ajst-19145	88	16	initializes	initialize	VERB
ajst-19145	88	17	the	the	DET
ajst-19145	88	18	pose	pose	NOUN
ajst-19145	88	19	recognition	recognition	NOUN
ajst-19145	88	20	model	model	NOUN
ajst-19145	88	21	in	in	ADP
ajst-19145	88	22	mediapipe	mediapipe	NOUN
ajst-19145	88	23	.	.	PUNCT
ajst-19145	89	1	to	to	PART
ajst-19145	89	2	be	be	AUX
ajst-19145	89	3	specific	specific	ADJ
ajst-19145	89	4	:	:	PUNCT
ajst-19145	89	5	1.import	1.import	NUM
ajst-19145	89	6	some	some	DET
ajst-19145	89	7	necessary	necessary	ADJ
ajst-19145	89	8	python	python	NOUN
ajst-19145	89	9	libraries	library	NOUN
ajst-19145	89	10	such	such	ADJ
ajst-19145	89	11	as	as	ADP
ajst-19145	89	12	math	math	NOUN
ajst-19145	89	13	,	,	PUNCT
ajst-19145	89	14	cv2	cv2	PROPN
ajst-19145	89	15	,	,	PUNCT
ajst-19145	89	16	numpy	numpy	NOUN
ajst-19145	89	17	,	,	PUNCT
ajst-19145	89	18	time	time	NOUN
ajst-19145	89	19	,	,	PUNCT
ajst-19145	89	20	mediapipe	mediapipe	NOUN
ajst-19145	89	21	,	,	PUNCT
ajst-19145	89	22	and	and	CCONJ
ajst-19145	89	23	matplotlib.pyplot	matplotlib.pyplot	NOUN
ajst-19145	89	24	for	for	ADP
ajst-19145	89	25	mathematical	mathematical	ADJ
ajst-19145	89	26	operations	operation	NOUN
ajst-19145	89	27	,	,	PUNCT
ajst-19145	89	28	image	image	NOUN
ajst-19145	89	29	processing	processing	NOUN
ajst-19145	89	30	,	,	PUNCT
ajst-19145	89	31	time	time	NOUN
ajst-19145	89	32	calculation	calculation	NOUN
ajst-19145	89	33	,	,	PUNCT
ajst-19145	89	34	posture	posture	NOUN
ajst-19145	89	35	recognition	recognition	NOUN
ajst-19145	89	36	,	,	PUNCT
ajst-19145	89	37	and	and	CCONJ
ajst-19145	89	38	more	more	ADJ
ajst-19145	89	39	.	.	PUNCT
ajst-19145	90	1	2.the	2.the	DET
ajst-19145	90	2	pose	pose	NOUN
ajst-19145	90	3	recognition	recognition	NOUN
ajst-19145	90	4	model	model	NOUN
ajst-19145	90	5	in	in	ADP
ajst-19145	90	6	mediapipe	mediapipe	PROPN
ajst-19145	90	7	is	be	AUX
ajst-19145	90	8	initialized	initialize	VERB
ajst-19145	90	9	,	,	PUNCT
ajst-19145	90	10	including	include	VERB
ajst-19145	90	11	the	the	DET
ajst-19145	90	12	settings	setting	NOUN
ajst-19145	90	13	of	of	ADP
ajst-19145	90	14	the	the	DET
ajst-19145	90	15	pose	pose	NOUN
ajst-19145	90	16	recognition	recognition	NOUN
ajst-19145	90	17	model	model	NOUN
ajst-19145	90	18	,	,	PUNCT
ajst-19145	90	19	such	such	ADJ
ajst-19145	90	20	as	as	ADP
ajst-19145	90	21	static	static	ADJ
ajst-19145	90	22	image	image	NOUN
ajst-19145	90	23	mode	mode	NOUN
ajst-19145	90	24	,	,	PUNCT
ajst-19145	90	25	minimum	minimum	ADJ
ajst-19145	90	26	detection	detection	NOUN
ajst-19145	90	27	confidence	confidence	NOUN
ajst-19145	90	28	and	and	CCONJ
ajst-19145	90	29	model	model	NOUN
ajst-19145	90	30	complexity	complexity	NOUN
ajst-19145	90	31	.	.	PUNCT
ajst-19145	91	1	3.initializes	3.initializes	NUM
ajst-19145	91	2	the	the	DET
ajst-19145	91	3	drawing	draw	VERB
ajst-19145	91	4	tool	tool	NOUN
ajst-19145	91	5	class	class	NOUN
ajst-19145	91	6	in	in	ADP
ajst-19145	91	7	mediapipe	mediapipe	NOUN
ajst-19145	91	8	for	for	ADP
ajst-19145	91	9	annotating	annotate	VERB
ajst-19145	91	10	and	and	CCONJ
ajst-19145	91	11	drawing	draw	VERB
ajst-19145	91	12	on	on	ADP
ajst-19145	91	13	images	image	NOUN
ajst-19145	91	14	.	.	PUNCT
ajst-19145	92	1	figure	figure	NOUN
ajst-19145	92	2	1	1	NUM
ajst-19145	92	3	.	.	PUNCT
ajst-19145	92	4	experimental	experimental	ADJ
ajst-19145	92	5	image	image	NOUN
ajst-19145	92	6	3.2	3.2	NUM
ajst-19145	92	7	.	.	PUNCT
ajst-19145	93	1	data	datum	NOUN
ajst-19145	93	2	preprocessing	preprocesse	VERB
ajst-19145	93	3	the	the	DET
ajst-19145	93	4	mediapipe	mediapipe	NOUN
ajst-19145	93	5	library	library	NOUN
ajst-19145	93	6	in	in	ADP
ajst-19145	93	7	conjunction	conjunction	NOUN
ajst-19145	93	8	with	with	ADP
ajst-19145	93	9	opencv	opencv	PROPN
ajst-19145	93	10	to	to	PART
ajst-19145	93	11	conduct	conduct	VERB
ajst-19145	93	12	pose	pose	NOUN
ajst-19145	93	13	detection	detection	NOUN
ajst-19145	93	14	on	on	ADP
ajst-19145	93	15	a	a	DET
ajst-19145	93	16	provided	provide	VERB
ajst-19145	93	17	image	image	NOUN
ajst-19145	93	18	.	.	PUNCT
ajst-19145	94	1	it	it	PRON
ajst-19145	94	2	identifies	identify	VERB
ajst-19145	94	3	and	and	CCONJ
ajst-19145	94	4	extracts	extract	VERB
ajst-19145	94	5	keypoint	keypoint	VERB
ajst-19145	94	6	landmarks	landmark	NOUN
ajst-19145	94	7	for	for	ADP
ajst-19145	94	8	the	the	DET
ajst-19145	94	9	first	first	ADJ
ajst-19145	94	10	two	two	NUM
ajst-19145	94	11	detected	detect	VERB
ajst-19145	94	12	points	point	NOUN
ajst-19145	94	13	,	,	PUNCT
ajst-19145	94	14	showcasing	showcase	VERB
ajst-19145	94	15	their	their	PRON
ajst-19145	94	16	coordinates	coordinate	NOUN
ajst-19145	94	17	(	(	PUNCT
ajst-19145	94	18	x	x	X
ajst-19145	94	19	,	,	PUNCT
ajst-19145	94	20	y	y	PROPN
ajst-19145	94	21	,	,	PUNCT
ajst-19145	94	22	z	z	NOUN
ajst-19145	94	23	)	)	PUNCT
ajst-19145	94	24	and	and	CCONJ
ajst-19145	94	25	visibility	visibility	NOUN
ajst-19145	94	26	in	in	ADP
ajst-19145	94	27	a	a	DET
ajst-19145	94	28	tabular	tabular	NOUN
ajst-19145	94	29	format	format	NOUN
ajst-19145	94	30	.	.	PUNCT
ajst-19145	95	1	additionally	additionally	ADV
ajst-19145	95	2	,	,	PUNCT
ajst-19145	95	3	the	the	DET
ajst-19145	95	4	code	code	NOUN
ajst-19145	95	5	overlays	overlay	VERB
ajst-19145	95	6	the	the	DET
ajst-19145	95	7	identified	identify	VERB
ajst-19145	95	8	landmarks	landmark	NOUN
ajst-19145	95	9	on	on	ADP
ajst-19145	95	10	the	the	DET
ajst-19145	95	11	input	input	NOUN
ajst-19145	95	12	image	image	NOUN
ajst-19145	95	13	to	to	PART
ajst-19145	95	14	provide	provide	VERB
ajst-19145	95	15	a	a	DET
ajst-19145	95	16	visual	visual	ADJ
ajst-19145	95	17	representation	representation	NOUN
ajst-19145	95	18	of	of	ADP
ajst-19145	95	19	the	the	DET
ajst-19145	95	20	pose	pose	NOUN
ajst-19145	95	21	detection	detection	NOUN
ajst-19145	95	22	process	process	NOUN
ajst-19145	95	23	.	.	PUNCT
ajst-19145	96	1	this	this	DET
ajst-19145	96	2	comprehensive	comprehensive	ADJ
ajst-19145	96	3	approach	approach	NOUN
ajst-19145	96	4	aids	aid	NOUN
ajst-19145	96	5	in	in	ADP
ajst-19145	96	6	analyzing	analyze	VERB
ajst-19145	96	7	the	the	DET
ajst-19145	96	8	spatial	spatial	ADJ
ajst-19145	96	9	positioning	positioning	NOUN
ajst-19145	96	10	of	of	ADP
ajst-19145	96	11	critical	critical	ADJ
ajst-19145	96	12	body	body	NOUN
ajst-19145	96	13	points	point	NOUN
ajst-19145	96	14	,	,	PUNCT
ajst-19145	96	15	facilitating	facilitate	VERB
ajst-19145	96	16	tasks	task	NOUN
ajst-19145	96	17	such	such	ADJ
ajst-19145	96	18	as	as	ADP
ajst-19145	96	19	yoga	yoga	NOUN
ajst-19145	96	20	pose	pose	NOUN
ajst-19145	96	21	recognition	recognition	NOUN
ajst-19145	96	22	or	or	CCONJ
ajst-19145	96	23	movement	movement	NOUN
ajst-19145	96	24	tracking	tracking	NOUN
ajst-19145	96	25	.	.	PUNCT
ajst-19145	97	1	table	table	NOUN
ajst-19145	97	2	1	1	NUM
ajst-19145	97	3	.	.	PUNCT
ajst-19145	97	4	extraction	extraction	NOUN
ajst-19145	97	5	point	point	NOUN
ajst-19145	97	6	data	datum	NOUN
ajst-19145	97	7	table	table	NOUN
ajst-19145	97	8	keypoint	keypoint	NOUN
ajst-19145	97	9	x	x	VERB
ajst-19145	97	10	y	y	PROPN
ajst-19145	97	11	z	z	PROPN
ajst-19145	97	12	visibility	visibility	PROPN
ajst-19145	97	13	nose	nose	VERB
ajst-19145	97	14	254.24	254.24	NUM
ajst-19145	97	15	125.57	125.57	NUM
ajst-19145	97	16	-143.61	-143.61	NOUN
ajst-19145	97	17	0.9999	0.9999	NUM
ajst-19145	97	18	left_eye_inner	left_eye_inner	ADJ
ajst-19145	97	19	263.94	263.94	NUM
ajst-19145	97	20	110.65	110.65	NUM
ajst-19145	97	21	-124.76	-124.76	PROPN
ajst-19145	97	22	0.9999	0.9999	NUM
ajst-19145	97	23	the	the	DET
ajst-19145	97	24	marked	mark	VERB
ajst-19145	97	25	output	output	NOUN
ajst-19145	97	26	is	be	AUX
ajst-19145	97	27	as	as	SCONJ
ajst-19145	97	28	follows	follow	VERB
ajst-19145	97	29	:	:	PUNCT
ajst-19145	97	30	53	53	NUM
ajst-19145	97	31	figure	figure	NOUN
ajst-19145	97	32	3	3	NUM
ajst-19145	97	33	.	.	PUNCT
ajst-19145	97	34	original	original	ADJ
ajst-19145	97	35	picture	picture	NOUN
ajst-19145	97	36	labeling	labeling	NOUN
ajst-19145	97	37	behavior	behavior	NOUN
ajst-19145	97	38	#	#	NOUN
ajst-19145	97	39	plot	plot	NOUN
ajst-19145	97	40	pose	pose	NOUN
ajst-19145	97	41	landmarks	landmark	NOUN
ajst-19145	97	42	in	in	ADP
ajst-19145	97	43	3d.mp_drawing.plot_landmar	3d.mp_drawing.plot_landmar	NUM
ajst-19145	97	44	ks(results.pose_world_landmarks	ks(results.pose_world_landmarks	PROPN
ajst-19145	97	45	,	,	PUNCT
ajst-19145	97	46	mp_pose.pose_conne	mp_pose.pose_conne	PROPN
ajst-19145	97	47	ctions	ction	NOUN
ajst-19145	97	48	)	)	PUNCT
ajst-19145	97	49	this	this	DET
ajst-19145	97	50	code	code	NOUN
ajst-19145	97	51	aims	aim	VERB
ajst-19145	97	52	to	to	PART
ajst-19145	97	53	visualize	visualize	VERB
ajst-19145	97	54	the	the	DET
ajst-19145	97	55	detected	detect	VERB
ajst-19145	97	56	pose	pose	NOUN
ajst-19145	97	57	landmarks	landmark	NOUN
ajst-19145	97	58	on	on	ADP
ajst-19145	97	59	a	a	DET
ajst-19145	97	60	provided	provide	VERB
ajst-19145	97	61	image	image	NOUN
ajst-19145	97	62	.	.	PUNCT
ajst-19145	98	1	begins	begin	VERB
ajst-19145	98	2	by	by	ADP
ajst-19145	98	3	creating	create	VERB
ajst-19145	98	4	a	a	DET
ajst-19145	98	5	copy	copy	NOUN
ajst-19145	98	6	of	of	ADP
ajst-19145	98	7	the	the	DET
ajst-19145	98	8	sample	sample	NOUN
ajst-19145	98	9	image	image	NOUN
ajst-19145	98	10	to	to	PART
ajst-19145	98	11	draw	draw	VERB
ajst-19145	98	12	the	the	DET
ajst-19145	98	13	landmarks	landmark	NOUN
ajst-19145	98	14	on	on	ADP
ajst-19145	98	15	.	.	PUNCT
ajst-19145	99	1	if	if	SCONJ
ajst-19145	99	2	any	any	DET
ajst-19145	99	3	landmarks	landmark	NOUN
ajst-19145	99	4	are	be	AUX
ajst-19145	99	5	found	find	VERB
ajst-19145	99	6	in	in	ADP
ajst-19145	99	7	the	the	DET
ajst-19145	99	8	image	image	NOUN
ajst-19145	99	9	,	,	PUNCT
ajst-19145	99	10	it	it	PRON
ajst-19145	99	11	proceeds	proceed	VERB
ajst-19145	99	12	to	to	PART
ajst-19145	99	13	draw	draw	VERB
ajst-19145	99	14	them	they	PRON
ajst-19145	99	15	using	use	VERB
ajst-19145	99	16	the	the	DET
ajst-19145	99	17	̀	̀	ADJ
ajst-19145	99	18	mp_drawing	mp_drawing	NOUN
ajst-19145	99	19	.	.	PUNCT
ajst-19145	100	1	draw_landmarks	draw_landmark	NOUN
ajst-19145	100	2	`	`	PUNCT
ajst-19145	100	3	function	function	NOUN
ajst-19145	100	4	from	from	ADP
ajst-19145	100	5	the	the	DET
ajst-19145	100	6	mediapipe	mediapipe	NOUN
ajst-19145	100	7	library	library	NOUN
ajst-19145	100	8	.	.	PUNCT
ajst-19145	101	1	the	the	DET
ajst-19145	101	2	resulting	result	VERB
ajst-19145	101	3	image	image	NOUN
ajst-19145	101	4	with	with	ADP
ajst-19145	101	5	overlaid	overlaid	ADJ
ajst-19145	101	6	landmarks	landmark	NOUN
ajst-19145	101	7	is	be	AUX
ajst-19145	101	8	displayed	display	VERB
ajst-19145	101	9	using	use	VERB
ajst-19145	101	10	matplotlib	matplotlib	PROPN
ajst-19145	101	11	,	,	PUNCT
ajst-19145	101	12	providing	provide	VERB
ajst-19145	101	13	a	a	DET
ajst-19145	101	14	visual	visual	ADJ
ajst-19145	101	15	representation	representation	NOUN
ajst-19145	101	16	of	of	ADP
ajst-19145	101	17	the	the	DET
ajst-19145	101	18	detected	detect	VERB
ajst-19145	101	19	pose	pose	VERB
ajst-19145	101	20	.	.	PUNCT
ajst-19145	102	1	figure	figure	NOUN
ajst-19145	102	2	4	4	NUM
ajst-19145	102	3	.	.	PUNCT
ajst-19145	102	4	visualization	visualization	NOUN
ajst-19145	102	5	of	of	ADP
ajst-19145	102	6	the	the	DET
ajst-19145	102	7	initial	initial	ADJ
ajst-19145	102	8	action	action	NOUN
ajst-19145	102	9	additionally	additionally	ADV
ajst-19145	102	10	,	,	PUNCT
ajst-19145	102	11	there	there	PRON
ajst-19145	102	12	's	be	VERB
ajst-19145	102	13	a	a	DET
ajst-19145	102	14	mention	mention	NOUN
ajst-19145	102	15	of	of	ADP
ajst-19145	102	16	detecting	detect	VERB
ajst-19145	102	17	poses	pose	NOUN
ajst-19145	102	18	and	and	CCONJ
ajst-19145	102	19	recognition	recognition	NOUN
ajst-19145	102	20	,	,	PUNCT
ajst-19145	102	21	which	which	PRON
ajst-19145	102	22	implies	imply	VERB
ajst-19145	102	23	that	that	SCONJ
ajst-19145	102	24	this	this	DET
ajst-19145	102	25	code	code	NOUN
ajst-19145	102	26	segment	segment	NOUN
ajst-19145	102	27	may	may	AUX
ajst-19145	102	28	be	be	AUX
ajst-19145	102	29	part	part	NOUN
ajst-19145	102	30	of	of	ADP
ajst-19145	102	31	a	a	DET
ajst-19145	102	32	larger	large	ADJ
ajst-19145	102	33	system	system	NOUN
ajst-19145	102	34	for	for	ADP
ajst-19145	102	35	detecting	detect	VERB
ajst-19145	102	36	and	and	CCONJ
ajst-19145	102	37	recognizing	recognize	VERB
ajst-19145	102	38	poses	pose	NOUN
ajst-19145	102	39	.	.	PUNCT
ajst-19145	103	1	it	it	PRON
ajst-19145	103	2	also	also	ADV
ajst-19145	103	3	suggests	suggest	VERB
ajst-19145	103	4	the	the	DET
ajst-19145	103	5	potential	potential	ADJ
ajst-19145	103	6	application	application	NOUN
ajst-19145	103	7	of	of	ADP
ajst-19145	103	8	the	the	DET
ajst-19145	103	9	code	code	NOUN
ajst-19145	103	10	for	for	ADP
ajst-19145	103	11	identifying	identify	VERB
ajst-19145	103	12	different	different	ADJ
ajst-19145	103	13	yoga	yoga	NOUN
ajst-19145	103	14	poses	pose	NOUN
ajst-19145	103	15	such	such	ADJ
ajst-19145	103	16	as	as	ADP
ajst-19145	103	17	t	t	NOUN
ajst-19145	103	18	-	-	PUNCT
ajst-19145	103	19	pose	pose	NOUN
ajst-19145	103	20	,	,	PUNCT
ajst-19145	103	21	tree	tree	NOUN
ajst-19145	103	22	-	-	PUNCT
ajst-19145	103	23	pose	pose	NOUN
ajst-19145	103	24	,	,	PUNCT
ajst-19145	103	25	and	and	CCONJ
ajst-19145	103	26	warrior	warrior	NOUN
ajst-19145	103	27	-	-	PUNCT
ajst-19145	103	28	pose	pose	VERB
ajst-19145	103	29	,	,	PUNCT
ajst-19145	103	30	among	among	ADP
ajst-19145	103	31	others	other	NOUN
ajst-19145	103	32	.	.	PUNCT
ajst-19145	104	1	however	however	ADV
ajst-19145	104	2	,	,	PUNCT
ajst-19145	104	3	the	the	DET
ajst-19145	104	4	specific	specific	ADJ
ajst-19145	104	5	implementation	implementation	NOUN
ajst-19145	104	6	details	detail	NOUN
ajst-19145	104	7	for	for	ADP
ajst-19145	104	8	pose	pose	NOUN
ajst-19145	104	9	detection	detection	NOUN
ajst-19145	104	10	and	and	CCONJ
ajst-19145	104	11	recognition	recognition	NOUN
ajst-19145	104	12	are	be	AUX
ajst-19145	104	13	not	not	PART
ajst-19145	104	14	provided	provide	VERB
ajst-19145	104	15	in	in	ADP
ajst-19145	104	16	this	this	DET
ajst-19145	104	17	snippet	snippet	NOUN
ajst-19145	104	18	.	.	PUNCT
ajst-19145	105	1	3.3	3.3	NUM
ajst-19145	105	2	.	.	PUNCT
ajst-19145	106	1	experimental	experimental	ADJ
ajst-19145	106	2	result	result	NOUN
ajst-19145	106	3	from	from	ADP
ajst-19145	106	4	this	this	DET
ajst-19145	106	5	short	short	ADJ
ajst-19145	106	6	experiment	experiment	NOUN
ajst-19145	106	7	,	,	PUNCT
ajst-19145	106	8	we	we	PRON
ajst-19145	106	9	can	can	AUX
ajst-19145	106	10	draw	draw	VERB
ajst-19145	106	11	the	the	DET
ajst-19145	106	12	following	following	ADJ
ajst-19145	106	13	conclusions	conclusion	NOUN
ajst-19145	106	14	:	:	PUNCT
ajst-19145	106	15	1	1	X
ajst-19145	106	16	.	.	PUNCT
ajst-19145	106	17	posture	posture	NOUN
ajst-19145	106	18	recognition	recognition	NOUN
ajst-19145	106	19	accuracy	accuracy	NOUN
ajst-19145	106	20	:	:	PUNCT
ajst-19145	106	21	by	by	ADP
ajst-19145	106	22	using	use	VERB
ajst-19145	106	23	deep	deep	ADJ
ajst-19145	106	24	learning	learning	NOUN
ajst-19145	106	25	technology	technology	NOUN
ajst-19145	106	26	and	and	CCONJ
ajst-19145	106	27	mediapipe	mediapipe	NOUN
ajst-19145	106	28	library	library	NOUN
ajst-19145	106	29	,	,	PUNCT
ajst-19145	106	30	we	we	PRON
ajst-19145	106	31	successfully	successfully	ADV
ajst-19145	106	32	realized	realize	VERB
ajst-19145	106	33	the	the	DET
ajst-19145	106	34	recognition	recognition	NOUN
ajst-19145	106	35	of	of	ADP
ajst-19145	106	36	human	human	ADJ
ajst-19145	106	37	posture	posture	NOUN
ajst-19145	106	38	in	in	ADP
ajst-19145	106	39	images	image	NOUN
ajst-19145	106	40	.	.	PUNCT
ajst-19145	107	1	the	the	DET
ajst-19145	107	2	results	result	NOUN
ajst-19145	107	3	showed	show	VERB
ajst-19145	107	4	that	that	SCONJ
ajst-19145	107	5	we	we	PRON
ajst-19145	107	6	were	be	AUX
ajst-19145	107	7	able	able	ADJ
ajst-19145	107	8	to	to	PART
ajst-19145	107	9	accurately	accurately	ADV
ajst-19145	107	10	detect	detect	VERB
ajst-19145	107	11	key	key	ADJ
ajst-19145	107	12	points	point	NOUN
ajst-19145	107	13	in	in	ADP
ajst-19145	107	14	the	the	DET
ajst-19145	107	15	human	human	ADJ
ajst-19145	107	16	body	body	NOUN
ajst-19145	107	17	and	and	CCONJ
ajst-19145	107	18	identify	identify	VERB
ajst-19145	107	19	common	common	ADJ
ajst-19145	107	20	yoga	yoga	NOUN
ajst-19145	107	21	poses	pose	NOUN
ajst-19145	107	22	such	such	ADJ
ajst-19145	107	23	as	as	ADP
ajst-19145	107	24	tpose	tpose	NOUN
ajst-19145	107	25	,	,	PUNCT
ajst-19145	107	26	tree	tree	NOUN
ajst-19145	107	27	-	-	PUNCT
ajst-19145	107	28	pose	pose	NOUN
ajst-19145	107	29	and	and	CCONJ
ajst-19145	107	30	warrior	warrior	NOUN
ajst-19145	107	31	-	-	PUNCT
ajst-19145	107	32	pose	pose	NOUN
ajst-19145	107	33	.	.	PUNCT
ajst-19145	108	1	2	2	X
ajst-19145	108	2	.	.	X
ajst-19145	108	3	key	key	ADJ
ajst-19145	108	4	point	point	NOUN
ajst-19145	108	5	extraction	extraction	NOUN
ajst-19145	108	6	and	and	CCONJ
ajst-19145	108	7	visualization	visualization	NOUN
ajst-19145	108	8	:	:	PUNCT
ajst-19145	108	9	in	in	ADP
ajst-19145	108	10	the	the	DET
ajst-19145	108	11	experiment	experiment	NOUN
ajst-19145	108	12	,	,	PUNCT
ajst-19145	108	13	we	we	PRON
ajst-19145	108	14	used	use	VERB
ajst-19145	108	15	mediapipe	mediapipe	PROPN
ajst-19145	108	16	and	and	CCONJ
ajst-19145	108	17	opencv	opencv	PROPN
ajst-19145	108	18	libraries	library	NOUN
ajst-19145	108	19	to	to	PART
ajst-19145	108	20	extract	extract	VERB
ajst-19145	108	21	key	key	ADJ
ajst-19145	108	22	points	point	NOUN
ajst-19145	108	23	in	in	ADP
ajst-19145	108	24	images	image	NOUN
ajst-19145	108	25	,	,	PUNCT
ajst-19145	108	26	and	and	CCONJ
ajst-19145	108	27	marked	mark	VERB
ajst-19145	108	28	and	and	CCONJ
ajst-19145	108	29	visualized	visualize	VERB
ajst-19145	108	30	them	they	PRON
ajst-19145	108	31	on	on	ADP
ajst-19145	108	32	the	the	DET
ajst-19145	108	33	original	original	ADJ
ajst-19145	108	34	images	image	NOUN
ajst-19145	108	35	.	.	PUNCT
ajst-19145	109	1	this	this	DET
ajst-19145	109	2	detailed	detailed	ADJ
ajst-19145	109	3	key	key	ADJ
ajst-19145	109	4	-	-	PUNCT
ajst-19145	109	5	point	point	NOUN
ajst-19145	109	6	extraction	extraction	NOUN
ajst-19145	109	7	and	and	CCONJ
ajst-19145	109	8	visualization	visualization	NOUN
ajst-19145	109	9	helps	help	VERB
ajst-19145	109	10	us	we	PRON
ajst-19145	109	11	understand	understand	VERB
ajst-19145	109	12	the	the	DET
ajst-19145	109	13	spatial	spatial	ADJ
ajst-19145	109	14	position	position	NOUN
ajst-19145	109	15	of	of	ADP
ajst-19145	109	16	human	human	ADJ
ajst-19145	109	17	poses	pose	NOUN
ajst-19145	109	18	and	and	CCONJ
ajst-19145	109	19	provides	provide	VERB
ajst-19145	109	20	a	a	DET
ajst-19145	109	21	basis	basis	NOUN
ajst-19145	109	22	for	for	ADP
ajst-19145	109	23	subsequent	subsequent	ADJ
ajst-19145	109	24	yoga	yoga	NOUN
ajst-19145	109	25	pose	pose	NOUN
ajst-19145	109	26	recognition	recognition	NOUN
ajst-19145	109	27	.	.	PUNCT
ajst-19145	110	1	3	3	X
ajst-19145	110	2	.	.	X
ajst-19145	110	3	application	application	NOUN
ajst-19145	110	4	of	of	ADP
ajst-19145	110	5	deep	deep	ADJ
ajst-19145	110	6	learning	learning	NOUN
ajst-19145	110	7	technology	technology	NOUN
ajst-19145	110	8	:	:	PUNCT
ajst-19145	110	9	in	in	ADP
ajst-19145	110	10	this	this	DET
ajst-19145	110	11	experiment	experiment	NOUN
ajst-19145	110	12	,	,	PUNCT
ajst-19145	110	13	we	we	PRON
ajst-19145	110	14	used	use	VERB
ajst-19145	110	15	deep	deep	ADJ
ajst-19145	110	16	learning	learning	NOUN
ajst-19145	110	17	technology	technology	NOUN
ajst-19145	110	18	for	for	ADP
ajst-19145	110	19	posture	posture	NOUN
ajst-19145	110	20	recognition	recognition	NOUN
ajst-19145	110	21	,	,	PUNCT
ajst-19145	110	22	demonstrating	demonstrate	VERB
ajst-19145	110	23	its	its	PRON
ajst-19145	110	24	potential	potential	NOUN
ajst-19145	110	25	and	and	CCONJ
ajst-19145	110	26	effectiveness	effectiveness	NOUN
ajst-19145	110	27	in	in	ADP
ajst-19145	110	28	the	the	DET
ajst-19145	110	29	field	field	NOUN
ajst-19145	110	30	of	of	ADP
ajst-19145	110	31	human	human	ADJ
ajst-19145	110	32	behavior	behavior	NOUN
ajst-19145	110	33	recognition	recognition	NOUN
ajst-19145	110	34	.	.	PUNCT
ajst-19145	111	1	by	by	ADP
ajst-19145	111	2	combining	combine	VERB
ajst-19145	111	3	the	the	DET
ajst-19145	111	4	mediapipe	mediapipe	NOUN
ajst-19145	111	5	and	and	CCONJ
ajst-19145	111	6	opencv	opencv	PROPN
ajst-19145	111	7	libraries	library	NOUN
ajst-19145	111	8	,	,	PUNCT
ajst-19145	111	9	we	we	PRON
ajst-19145	111	10	were	be	AUX
ajst-19145	111	11	able	able	ADJ
ajst-19145	111	12	to	to	PART
ajst-19145	111	13	quickly	quickly	ADV
ajst-19145	111	14	implement	implement	VERB
ajst-19145	111	15	the	the	DET
ajst-19145	111	16	pose	pose	NOUN
ajst-19145	111	17	recognition	recognition	NOUN
ajst-19145	111	18	task	task	NOUN
ajst-19145	111	19	and	and	CCONJ
ajst-19145	111	20	achieve	achieve	VERB
ajst-19145	111	21	good	good	ADJ
ajst-19145	111	22	performance	performance	NOUN
ajst-19145	111	23	in	in	ADP
ajst-19145	111	24	accuracy	accuracy	NOUN
ajst-19145	111	25	and	and	CCONJ
ajst-19145	111	26	efficiency	efficiency	NOUN
ajst-19145	111	27	.	.	PUNCT
ajst-19145	112	1	in	in	ADP
ajst-19145	112	2	summary	summary	NOUN
ajst-19145	112	3	,	,	PUNCT
ajst-19145	112	4	this	this	DET
ajst-19145	112	5	experiment	experiment	NOUN
ajst-19145	112	6	shows	show	VERB
ajst-19145	112	7	that	that	SCONJ
ajst-19145	112	8	deep	deep	ADJ
ajst-19145	112	9	learning	learning	NOUN
ajst-19145	112	10	technology	technology	NOUN
ajst-19145	112	11	has	have	VERB
ajst-19145	112	12	a	a	DET
ajst-19145	112	13	broad	broad	ADJ
ajst-19145	112	14	application	application	NOUN
ajst-19145	112	15	prospect	prospect	NOUN
ajst-19145	112	16	in	in	ADP
ajst-19145	112	17	human	human	ADJ
ajst-19145	112	18	posture	posture	NOUN
ajst-19145	112	19	recognition	recognition	NOUN
ajst-19145	112	20	,	,	PUNCT
ajst-19145	112	21	and	and	CCONJ
ajst-19145	112	22	can	can	AUX
ajst-19145	112	23	provide	provide	VERB
ajst-19145	112	24	important	important	ADJ
ajst-19145	112	25	support	support	NOUN
ajst-19145	112	26	and	and	CCONJ
ajst-19145	112	27	application	application	NOUN
ajst-19145	112	28	value	value	NOUN
ajst-19145	112	29	for	for	ADP
ajst-19145	112	30	intelligent	intelligent	ADJ
ajst-19145	112	31	fitness	fitness	NOUN
ajst-19145	112	32	,	,	PUNCT
ajst-19145	112	33	medical	medical	ADJ
ajst-19145	112	34	care	care	NOUN
ajst-19145	112	35	and	and	CCONJ
ajst-19145	112	36	other	other	ADJ
ajst-19145	112	37	fields	field	NOUN
ajst-19145	112	38	.	.	PUNCT
ajst-19145	113	1	4	4	X
ajst-19145	113	2	.	.	X
ajst-19145	113	3	conclusion	conclusion	NOUN
ajst-19145	113	4	compared	compare	VERB
ajst-19145	113	5	to	to	ADP
ajst-19145	113	6	traditional	traditional	ADJ
ajst-19145	113	7	rgb	rgb	PROPN
ajst-19145	113	8	data	data	PROPN
ajst-19145	113	9	,	,	PUNCT
ajst-19145	113	10	multimodal	multimodal	ADJ
ajst-19145	113	11	rgb	rgb	PROPN
ajst-19145	113	12	-	-	PROPN
ajst-19145	113	13	d	d	PROPN
ajst-19145	113	14	data	data	NOUN
ajst-19145	113	15	has	have	VERB
ajst-19145	113	16	many	many	ADJ
ajst-19145	113	17	advantages	advantage	NOUN
ajst-19145	113	18	in	in	ADP
ajst-19145	113	19	terms	term	NOUN
ajst-19145	113	20	of	of	ADP
ajst-19145	113	21	behavior	behavior	NOUN
ajst-19145	113	22	analysis	analysis	NOUN
ajst-19145	113	23	.	.	PUNCT
ajst-19145	114	1	rgb	rgb	PROPN
ajst-19145	114	2	image	image	PROPN
ajst-19145	114	3	data	datum	NOUN
ajst-19145	114	4	is	be	AUX
ajst-19145	114	5	easily	easily	ADV
ajst-19145	114	6	affected	affect	VERB
ajst-19145	114	7	by	by	ADP
ajst-19145	114	8	external	external	ADJ
ajst-19145	114	9	factors	factor	NOUN
ajst-19145	114	10	unrelated	unrelated	ADJ
ajst-19145	114	11	to	to	ADP
ajst-19145	114	12	behavior	behavior	NOUN
ajst-19145	114	13	,	,	PUNCT
ajst-19145	114	14	such	such	ADJ
ajst-19145	114	15	as	as	ADP
ajst-19145	114	16	shooting	shoot	VERB
ajst-19145	114	17	environment	environment	NOUN
ajst-19145	114	18	,	,	PUNCT
ajst-19145	114	19	lighting	lighting	NOUN
ajst-19145	114	20	,	,	PUNCT
ajst-19145	114	21	and	and	CCONJ
ajst-19145	114	22	the	the	DET
ajst-19145	114	23	texture	texture	NOUN
ajst-19145	114	24	of	of	ADP
ajst-19145	114	25	the	the	DET
ajst-19145	114	26	actor	actor	NOUN
ajst-19145	114	27	's	's	PART
ajst-19145	114	28	clothing	clothing	NOUN
ajst-19145	114	29	.	.	PUNCT
ajst-19145	115	1	it	it	PRON
ajst-19145	115	2	is	be	AUX
ajst-19145	115	3	a	a	DET
ajst-19145	115	4	very	very	ADV
ajst-19145	115	5	challenging	challenging	ADJ
ajst-19145	115	6	task	task	NOUN
ajst-19145	115	7	to	to	PART
ajst-19145	115	8	infer	infer	VERB
ajst-19145	115	9	the	the	DET
ajst-19145	115	10	skeleton	skeleton	NOUN
ajst-19145	115	11	posture	posture	NOUN
ajst-19145	115	12	,	,	PUNCT
ajst-19145	115	13	contour	contour	NOUN
ajst-19145	115	14	information	information	NOUN
ajst-19145	115	15	and	and	CCONJ
ajst-19145	115	16	some	some	DET
ajst-19145	115	17	key	key	ADJ
ajst-19145	115	18	action	action	NOUN
ajst-19145	115	19	information	information	NOUN
ajst-19145	115	20	of	of	ADP
ajst-19145	115	21	the	the	DET
ajst-19145	115	22	actor	actor	NOUN
ajst-19145	115	23	directly	directly	ADV
ajst-19145	115	24	from	from	ADP
ajst-19145	115	25	the	the	DET
ajst-19145	115	26	rgb	rgb	PROPN
ajst-19145	115	27	video	video	NOUN
ajst-19145	115	28	image	image	NOUN
ajst-19145	115	29	,	,	PUNCT
ajst-19145	115	30	which	which	PRON
ajst-19145	115	31	makes	make	VERB
ajst-19145	115	32	many	many	ADJ
ajst-19145	115	33	video	video	NOUN
ajst-19145	115	34	analysis	analysis	NOUN
ajst-19145	115	35	and	and	CCONJ
ajst-19145	115	36	behavioral	behavioral	ADJ
ajst-19145	115	37	action	action	NOUN
ajst-19145	115	38	analysis	analysis	NOUN
ajst-19145	115	39	techniques	technique	NOUN
ajst-19145	115	40	difficult	difficult	ADJ
ajst-19145	115	41	to	to	PART
ajst-19145	115	42	be	be	AUX
ajst-19145	115	43	widely	widely	ADV
ajst-19145	115	44	used	use	VERB
ajst-19145	115	45	in	in	ADP
ajst-19145	115	46	real	real	ADJ
ajst-19145	115	47	life	life	NOUN
ajst-19145	115	48	.	.	PUNCT
ajst-19145	116	1	in	in	ADP
ajst-19145	116	2	contrast	contrast	NOUN
ajst-19145	116	3	,	,	PUNCT
ajst-19145	116	4	in	in	ADP
ajst-19145	116	5	depth	depth	NOUN
ajst-19145	116	6	video	video	NOUN
ajst-19145	116	7	images	image	NOUN
ajst-19145	116	8	,	,	PUNCT
ajst-19145	116	9	because	because	SCONJ
ajst-19145	116	10	pedestrians	pedestrian	NOUN
ajst-19145	116	11	and	and	CCONJ
ajst-19145	116	12	the	the	DET
ajst-19145	116	13	surrounding	surround	VERB
ajst-19145	116	14	shooting	shoot	VERB
ajst-19145	116	15	scene	scene	NOUN
ajst-19145	116	16	usually	usually	ADV
ajst-19145	116	17	have	have	VERB
ajst-19145	116	18	a	a	DET
ajst-19145	116	19	high	high	ADJ
ajst-19145	116	20	degree	degree	NOUN
ajst-19145	116	21	of	of	ADP
ajst-19145	116	22	recognition	recognition	NOUN
ajst-19145	116	23	,	,	PUNCT
ajst-19145	116	24	and	and	CCONJ
ajst-19145	116	25	the	the	DET
ajst-19145	116	26	depth	depth	NOUN
ajst-19145	116	27	data	datum	NOUN
ajst-19145	116	28	obtained	obtain	VERB
ajst-19145	116	29	is	be	AUX
ajst-19145	116	30	not	not	PART
ajst-19145	116	31	affected	affect	VERB
ajst-19145	116	32	by	by	ADP
ajst-19145	116	33	clothing	clothing	NOUN
ajst-19145	116	34	,	,	PUNCT
ajst-19145	116	35	it	it	PRON
ajst-19145	116	36	is	be	AUX
ajst-19145	116	37	more	more	ADV
ajst-19145	116	38	simple	simple	ADJ
ajst-19145	116	39	,	,	PUNCT
ajst-19145	116	40	convenient	convenient	ADJ
ajst-19145	116	41	and	and	CCONJ
ajst-19145	116	42	accurate	accurate	ADJ
ajst-19145	116	43	to	to	PART
ajst-19145	116	44	obtain	obtain	VERB
ajst-19145	116	45	pedestrian	pedestrian	NOUN
ajst-19145	116	46	contour	contour	NOUN
ajst-19145	116	47	and	and	CCONJ
ajst-19145	116	48	skeleton	skeleton	NOUN
ajst-19145	116	49	information	information	NOUN
ajst-19145	116	50	.	.	PUNCT
ajst-19145	117	1	in	in	ADP
ajst-19145	117	2	addition	addition	NOUN
ajst-19145	117	3	,	,	PUNCT
ajst-19145	117	4	color	color	NOUN
ajst-19145	117	5	information	information	NOUN
ajst-19145	117	6	in	in	ADP
ajst-19145	117	7	rgb	rgb	PROPN
ajst-19145	117	8	video	video	NOUN
ajst-19145	117	9	can	can	AUX
ajst-19145	117	10	depict	depict	VERB
ajst-19145	117	11	the	the	DET
ajst-19145	117	12	apparent	apparent	ADJ
ajst-19145	117	13	texture	texture	NOUN
ajst-19145	117	14	features	feature	NOUN
ajst-19145	117	15	of	of	ADP
ajst-19145	117	16	objects	object	NOUN
ajst-19145	117	17	in	in	ADP
ajst-19145	117	18	more	more	ADJ
ajst-19145	117	19	detail	detail	NOUN
ajst-19145	117	20	,	,	PUNCT
ajst-19145	117	21	which	which	PRON
ajst-19145	117	22	is	be	AUX
ajst-19145	117	23	particularly	particularly	ADV
ajst-19145	117	24	important	important	ADJ
ajst-19145	117	25	when	when	SCONJ
ajst-19145	117	26	dealing	deal	VERB
ajst-19145	117	27	with	with	ADP
ajst-19145	117	28	behaviors	behavior	NOUN
ajst-19145	117	29	involving	involve	VERB
ajst-19145	117	30	human	human	ADJ
ajst-19145	117	31	interaction	interaction	NOUN
ajst-19145	117	32	with	with	ADP
ajst-19145	117	33	objects	object	NOUN
ajst-19145	117	34	.	.	PUNCT
ajst-19145	118	1	to	to	PART
ajst-19145	118	2	sum	sum	VERB
ajst-19145	118	3	up	up	ADP
ajst-19145	118	4	,	,	PUNCT
ajst-19145	118	5	multimodal	multimodal	ADJ
ajst-19145	118	6	rgb	rgb	PROPN
ajst-19145	118	7	-	-	PROPN
ajst-19145	118	8	d	d	PROPN
ajst-19145	118	9	data	datum	NOUN
ajst-19145	118	10	provides	provide	VERB
ajst-19145	118	11	richer	rich	ADJ
ajst-19145	118	12	information	information	NOUN
ajst-19145	118	13	for	for	ADP
ajst-19145	118	14	behavior	behavior	NOUN
ajst-19145	118	15	analysis	analysis	NOUN
ajst-19145	118	16	and	and	CCONJ
ajst-19145	118	17	is	be	AUX
ajst-19145	118	18	expected	expect	VERB
ajst-19145	118	19	to	to	PART
ajst-19145	118	20	promote	promote	VERB
ajst-19145	118	21	the	the	DET
ajst-19145	118	22	development	development	NOUN
ajst-19145	118	23	and	and	CCONJ
ajst-19145	118	24	application	application	NOUN
ajst-19145	118	25	of	of	ADP
ajst-19145	118	26	behavior	behavior	NOUN
ajst-19145	118	27	and	and	CCONJ
ajst-19145	118	28	action	action	NOUN
ajst-19145	118	29	analysis	analysis	NOUN
ajst-19145	118	30	technology	technology	NOUN
ajst-19145	118	31	in	in	ADP
ajst-19145	118	32	practical	practical	ADJ
ajst-19145	118	33	applications	application	NOUN
ajst-19145	118	34	.	.	PUNCT
ajst-19145	119	1	therefore	therefore	ADV
ajst-19145	119	2	,	,	PUNCT
ajst-19145	119	3	the	the	DET
ajst-19145	119	4	application	application	NOUN
ajst-19145	119	5	of	of	ADP
ajst-19145	119	6	deep	deep	ADJ
ajst-19145	119	7	learning	learning	NOUN
ajst-19145	119	8	technology	technology	NOUN
ajst-19145	119	9	in	in	ADP
ajst-19145	119	10	the	the	DET
ajst-19145	119	11	field	field	NOUN
ajst-19145	119	12	of	of	ADP
ajst-19145	119	13	human	human	ADJ
ajst-19145	119	14	motion	motion	NOUN
ajst-19145	119	15	recognition	recognition	NOUN
ajst-19145	119	16	provides	provide	VERB
ajst-19145	119	17	a	a	DET
ajst-19145	119	18	strong	strong	ADJ
ajst-19145	119	19	support	support	NOUN
ajst-19145	119	20	for	for	ADP
ajst-19145	119	21	achieving	achieve	VERB
ajst-19145	119	22	more	more	ADV
ajst-19145	119	23	accurate	accurate	ADJ
ajst-19145	119	24	and	and	CCONJ
ajst-19145	119	25	reliable	reliable	ADJ
ajst-19145	119	26	motion	motion	NOUN
ajst-19145	119	27	recognition	recognition	NOUN
ajst-19145	119	28	tasks	task	NOUN
ajst-19145	119	29	.	.	PUNCT
ajst-19145	120	1	this	this	DET
ajst-19145	120	2	technology	technology	NOUN
ajst-19145	120	3	can	can	AUX
ajst-19145	120	4	directly	directly	ADV
ajst-19145	120	5	extract	extract	VERB
ajst-19145	120	6	features	feature	NOUN
ajst-19145	120	7	from	from	ADP
ajst-19145	120	8	raw	raw	ADJ
ajst-19145	120	9	data	datum	NOUN
ajst-19145	120	10	,	,	PUNCT
ajst-19145	120	11	no	no	ADV
ajst-19145	120	12	longer	long	ADV
ajst-19145	120	13	rely	rely	VERB
ajst-19145	120	14	on	on	ADP
ajst-19145	120	15	manually	manually	ADV
ajst-19145	120	16	designed	design	VERB
ajst-19145	120	17	features	feature	NOUN
ajst-19145	120	18	,	,	PUNCT
ajst-19145	120	19	thus	thus	ADV
ajst-19145	120	20	improving	improve	VERB
ajst-19145	120	21	the	the	DET
ajst-19145	120	22	recognition	recognition	NOUN
ajst-19145	120	23	performance	performance	NOUN
ajst-19145	120	24	and	and	CCONJ
ajst-19145	120	25	generalization	generalization	NOUN
ajst-19145	120	26	ability	ability	NOUN
ajst-19145	120	27	.	.	PUNCT
ajst-19145	121	1	by	by	ADP
ajst-19145	121	2	processing	process	VERB
ajst-19145	121	3	information	information	NOUN
ajst-19145	121	4	on	on	ADP
ajst-19145	121	5	multiple	multiple	ADJ
ajst-19145	121	6	time	time	NOUN
ajst-19145	121	7	scales	scale	NOUN
ajst-19145	121	8	and	and	CCONJ
ajst-19145	121	9	introducing	introduce	VERB
ajst-19145	121	10	attention	attention	NOUN
ajst-19145	121	11	mechanisms	mechanism	NOUN
ajst-19145	121	12	,	,	PUNCT
ajst-19145	121	13	deep	deep	ADJ
ajst-19145	121	14	learning	learning	NOUN
ajst-19145	121	15	models	model	NOUN
ajst-19145	121	16	are	be	AUX
ajst-19145	121	17	able	able	ADJ
ajst-19145	121	18	to	to	PART
ajst-19145	121	19	more	more	ADV
ajst-19145	121	20	fully	fully	ADV
ajst-19145	121	21	understand	understand	VERB
ajst-19145	121	22	and	and	CCONJ
ajst-19145	121	23	analyze	analyze	VERB
ajst-19145	121	24	the	the	DET
ajst-19145	121	25	evolution	evolution	NOUN
ajst-19145	121	26	of	of	ADP
ajst-19145	121	27	actions	action	NOUN
ajst-19145	121	28	,	,	PUNCT
ajst-19145	121	29	improving	improve	VERB
ajst-19145	121	30	the	the	DET
ajst-19145	121	31	efficiency	efficiency	NOUN
ajst-19145	121	32	and	and	CCONJ
ajst-19145	121	33	accuracy	accuracy	NOUN
ajst-19145	121	34	of	of	ADP
ajst-19145	121	35	processing	processing	NOUN
ajst-19145	121	36	long	long	ADJ
ajst-19145	121	37	time	time	NOUN
ajst-19145	121	38	series	series	NOUN
ajst-19145	121	39	.	.	PUNCT
ajst-19145	122	1	deep	deep	ADJ
ajst-19145	122	2	learning	learning	NOUN
ajst-19145	122	3	technology	technology	NOUN
ajst-19145	122	4	has	have	VERB
ajst-19145	122	5	a	a	DET
ajst-19145	122	6	broad	broad	ADJ
ajst-19145	122	7	application	application	NOUN
ajst-19145	122	8	prospect	prospect	NOUN
ajst-19145	122	9	and	and	CCONJ
ajst-19145	122	10	is	be	AUX
ajst-19145	122	11	expected	expect	VERB
ajst-19145	122	12	to	to	PART
ajst-19145	122	13	be	be	AUX
ajst-19145	122	14	widely	widely	ADV
ajst-19145	122	15	used	use	VERB
ajst-19145	122	16	in	in	ADP
ajst-19145	122	17	fields	field	NOUN
ajst-19145	122	18	such	such	ADJ
ajst-19145	122	19	as	as	ADP
ajst-19145	122	20	surveillance	surveillance	NOUN
ajst-19145	122	21	,	,	PUNCT
ajst-19145	122	22	robotics	robotic	NOUN
ajst-19145	122	23	and	and	CCONJ
ajst-19145	122	24	healthcare	healthcare	NOUN
ajst-19145	122	25	to	to	PART
ajst-19145	122	26	provide	provide	VERB
ajst-19145	122	27	more	more	ADV
ajst-19145	122	28	efficient	efficient	ADJ
ajst-19145	122	29	solutions	solution	NOUN
ajst-19145	122	30	in	in	ADP
ajst-19145	122	31	these	these	DET
ajst-19145	122	32	fields	field	NOUN
ajst-19145	122	33	.	.	PUNCT
ajst-19145	123	1	by	by	ADP
ajst-19145	123	2	combining	combine	VERB
ajst-19145	123	3	deep	deep	ADJ
ajst-19145	123	4	learning	learning	NOUN
ajst-19145	123	5	techniques	technique	NOUN
ajst-19145	123	6	with	with	ADP
ajst-19145	123	7	multimodal	multimodal	ADJ
ajst-19145	123	8	rgb	rgb	PROPN
ajst-19145	123	9	-	-	PROPN
ajst-19145	123	10	d	d	PROPN
ajst-19145	123	11	data	datum	NOUN
ajst-19145	123	12	,	,	PUNCT
ajst-19145	123	13	we	we	PRON
ajst-19145	123	14	can	can	AUX
ajst-19145	123	15	obtain	obtain	VERB
ajst-19145	123	16	richer	rich	ADJ
ajst-19145	123	17	information	information	NOUN
ajst-19145	123	18	,	,	PUNCT
ajst-19145	123	19	providing	provide	VERB
ajst-19145	123	20	more	more	ADJ
ajst-19145	123	21	perspectives	perspective	NOUN
ajst-19145	123	22	and	and	CCONJ
ajst-19145	123	23	possibilities	possibility	NOUN
ajst-19145	123	24	for	for	ADP
ajst-19145	123	25	behavioral	behavioral	ADJ
ajst-19145	123	26	analysis	analysis	NOUN
ajst-19145	123	27	.	.	PUNCT
ajst-19145	124	1	this	this	DET
ajst-19145	124	2	comprehensive	comprehensive	ADJ
ajst-19145	124	3	approach	approach	NOUN
ajst-19145	124	4	is	be	AUX
ajst-19145	124	5	expected	expect	VERB
ajst-19145	124	6	to	to	PART
ajst-19145	124	7	drive	drive	VERB
ajst-19145	124	8	the	the	DET
ajst-19145	124	9	development	development	NOUN
ajst-19145	124	10	of	of	ADP
ajst-19145	124	11	behavior	behavior	NOUN
ajst-19145	124	12	and	and	CCONJ
ajst-19145	124	13	motion	motion	NOUN
ajst-19145	124	14	analysis	analysis	NOUN
ajst-19145	124	15	technology	technology	NOUN
ajst-19145	124	16	in	in	ADP
ajst-19145	124	17	practical	practical	ADJ
ajst-19145	124	18	applications	application	NOUN
ajst-19145	124	19	,	,	PUNCT
ajst-19145	124	20	providing	provide	VERB
ajst-19145	124	21	more	more	ADJ
ajst-19145	124	22	possibilities	possibility	NOUN
ajst-19145	124	23	for	for	ADP
ajst-19145	124	24	smart	smart	ADJ
ajst-19145	124	25	fitness	fitness	NOUN
ajst-19145	124	26	,	,	PUNCT
ajst-19145	124	27	healthcare	healthcare	NOUN
ajst-19145	124	28	and	and	CCONJ
ajst-19145	124	29	other	other	ADJ
ajst-19145	124	30	fields	field	NOUN
ajst-19145	124	31	.	.	PUNCT
ajst-19145	125	1	deep	deep	ADJ
ajst-19145	125	2	learning	learning	NOUN
ajst-19145	125	3	motion	motion	NOUN
ajst-19145	125	4	54	54	NUM
ajst-19145	125	5	recognition	recognition	NOUN
ajst-19145	125	6	technology	technology	NOUN
ajst-19145	125	7	is	be	AUX
ajst-19145	125	8	expected	expect	VERB
ajst-19145	125	9	to	to	PART
ajst-19145	125	10	overcome	overcome	VERB
ajst-19145	125	11	the	the	DET
ajst-19145	125	12	limitations	limitation	NOUN
ajst-19145	125	13	of	of	ADP
ajst-19145	125	14	traditional	traditional	ADJ
ajst-19145	125	15	methods	method	NOUN
ajst-19145	125	16	,	,	PUNCT
ajst-19145	125	17	provide	provide	VERB
ajst-19145	125	18	more	more	ADJ
ajst-19145	125	19	possibilities	possibility	NOUN
ajst-19145	125	20	for	for	ADP
ajst-19145	125	21	achieving	achieve	VERB
ajst-19145	125	22	more	more	ADV
ajst-19145	125	23	accurate	accurate	ADJ
ajst-19145	125	24	and	and	CCONJ
ajst-19145	125	25	reliable	reliable	ADJ
ajst-19145	125	26	motion	motion	NOUN
ajst-19145	125	27	recognition	recognition	NOUN
ajst-19145	125	28	tasks	task	NOUN
ajst-19145	125	29	,	,	PUNCT
ajst-19145	125	30	and	and	CCONJ
ajst-19145	125	31	provide	provide	VERB
ajst-19145	125	32	important	important	ADJ
ajst-19145	125	33	support	support	NOUN
ajst-19145	125	34	for	for	ADP
ajst-19145	125	35	the	the	DET
ajst-19145	125	36	development	development	NOUN
ajst-19145	125	37	and	and	CCONJ
ajst-19145	125	38	progress	progress	NOUN
ajst-19145	125	39	of	of	ADP
ajst-19145	125	40	related	related	ADJ
ajst-19145	125	41	fields	field	NOUN
ajst-19145	125	42	.	.	PUNCT
ajst-19145	126	1	acknowledgment	acknowledgment	NOUN
ajst-19145	126	2	in	in	ADP
ajst-19145	126	3	the	the	DET
ajst-19145	126	4	process	process	NOUN
ajst-19145	126	5	of	of	ADP
ajst-19145	126	6	writing	write	VERB
ajst-19145	126	7	this	this	DET
ajst-19145	126	8	article	article	NOUN
ajst-19145	126	9	,	,	PUNCT
ajst-19145	126	10	we	we	PRON
ajst-19145	126	11	were	be	AUX
ajst-19145	126	12	deeply	deeply	ADV
ajst-19145	126	13	inspired	inspire	VERB
ajst-19145	126	14	by	by	ADP
ajst-19145	126	15	the	the	DET
ajst-19145	126	16	research	research	NOUN
ajst-19145	126	17	of	of	ADP
ajst-19145	126	18	xiang	xiang	PROPN
ajst-19145	126	19	et	et	PROPN
ajst-19145	126	20	al	al	PROPN
ajst-19145	126	21	.	.	PROPN
ajst-19145	126	22	,	,	PUNCT
ajst-19145	126	23	especially	especially	ADV
ajst-19145	126	24	their	their	PRON
ajst-19145	126	25	[	[	PUNCT
ajst-19145	126	26	4]"machine	4]"machine	NUM
ajst-19145	126	27	learning	learning	NOUN
ajst-19145	126	28	-	-	PUNCT
ajst-19145	126	29	based	base	VERB
ajst-19145	126	30	vehicle	vehicle	NOUN
ajst-19145	126	31	intention	intention	NOUN
ajst-19145	126	32	trajectory	trajectory	NOUN
ajst-19145	126	33	recognition	recognition	NOUN
ajst-19145	126	34	and	and	CCONJ
ajst-19145	126	35	prediction	prediction	NOUN
ajst-19145	126	36	for	for	ADP
ajst-19145	126	37	autonomous	autonomous	ADJ
ajst-19145	126	38	driving	driving	NOUN
ajst-19145	126	39	.	.	PUNCT
ajst-19145	126	40	"	"	PUNCT
ajst-19145	127	1	work	work	NOUN
ajst-19145	127	2	on	on	ADP
ajst-19145	127	3	intelligent	intelligent	ADJ
ajst-19145	127	4	e	e	NOUN
ajst-19145	127	5	-	-	NOUN
ajst-19145	127	6	commerce	commerce	NOUN
ajst-19145	127	7	and	and	CCONJ
ajst-19145	127	8	other	other	ADJ
ajst-19145	127	9	recommendations	recommendation	NOUN
ajst-19145	127	10	such	such	ADJ
ajst-19145	127	11	as	as	ADP
ajst-19145	127	12	healthcare	healthcare	NOUN
ajst-19145	127	13	.	.	PUNCT
ajst-19145	128	1	by	by	ADP
ajst-19145	128	2	reading	read	VERB
ajst-19145	128	3	their	their	PRON
ajst-19145	128	4	papers	paper	NOUN
ajst-19145	128	5	,	,	PUNCT
ajst-19145	128	6	we	we	PRON
ajst-19145	128	7	gained	gain	VERB
ajst-19145	128	8	many	many	ADJ
ajst-19145	128	9	valuable	valuable	ADJ
ajst-19145	128	10	insights	insight	NOUN
ajst-19145	128	11	that	that	PRON
ajst-19145	128	12	have	have	AUX
ajst-19145	128	13	had	have	VERB
ajst-19145	128	14	a	a	DET
ajst-19145	128	15	profound	profound	ADJ
ajst-19145	128	16	impact	impact	NOUN
ajst-19145	128	17	on	on	ADP
ajst-19145	128	18	our	our	PRON
ajst-19145	128	19	research	research	NOUN
ajst-19145	128	20	.	.	PUNCT
ajst-19145	129	1	we	we	PRON
ajst-19145	129	2	would	would	AUX
ajst-19145	129	3	like	like	VERB
ajst-19145	129	4	to	to	PART
ajst-19145	129	5	give	give	VERB
ajst-19145	129	6	special	special	ADJ
ajst-19145	129	7	thanks	thank	NOUN
ajst-19145	129	8	to	to	ADP
ajst-19145	129	9	xiang	xiang	PROPN
ajst-19145	129	10	et	et	PROPN
ajst-19145	129	11	al	al	PROPN
ajst-19145	129	12	and	and	CCONJ
ajst-19145	129	13	their	their	PRON
ajst-19145	129	14	team	team	NOUN
ajst-19145	129	15	,	,	PUNCT
ajst-19145	129	16	as	as	SCONJ
ajst-19145	129	17	their	their	PRON
ajst-19145	129	18	work	work	NOUN
ajst-19145	129	19	has	have	AUX
ajst-19145	129	20	provided	provide	VERB
ajst-19145	129	21	us	we	PRON
ajst-19145	129	22	with	with	ADP
ajst-19145	129	23	a	a	DET
ajst-19145	129	24	direction	direction	NOUN
ajst-19145	129	25	and	and	CCONJ
ajst-19145	129	26	a	a	DET
ajst-19145	129	27	way	way	NOUN
ajst-19145	129	28	forward	forward	ADV
ajst-19145	129	29	.	.	PUNCT
ajst-19145	130	1	at	at	ADP
ajst-19145	130	2	the	the	DET
ajst-19145	130	3	same	same	ADJ
ajst-19145	130	4	time	time	NOUN
ajst-19145	130	5	,	,	PUNCT
ajst-19145	130	6	we	we	PRON
ajst-19145	130	7	also	also	ADV
ajst-19145	130	8	want	want	VERB
ajst-19145	130	9	to	to	PART
ajst-19145	130	10	thank	thank	VERB
ajst-19145	130	11	a	a	DET
ajst-19145	130	12	paper	paper	NOUN
ajst-19145	130	13	,	,	PUNCT
ajst-19145	130	14	their	their	PRON
ajst-19145	130	15	hard	hard	ADJ
ajst-19145	130	16	work	work	NOUN
ajst-19145	130	17	and	and	CCONJ
ajst-19145	130	18	research	research	NOUN
ajst-19145	130	19	results	result	NOUN
ajst-19145	130	20	for	for	ADP
ajst-19145	130	21	the	the	DET
ajst-19145	130	22	whole	whole	ADJ
ajst-19145	130	23	field	field	NOUN
ajst-19145	130	24	to	to	PART
ajst-19145	130	25	bring	bring	VERB
ajst-19145	130	26	new	new	ADJ
ajst-19145	130	27	thinking	thinking	NOUN
ajst-19145	130	28	and	and	CCONJ
ajst-19145	130	29	inspiration	inspiration	NOUN
ajst-19145	130	30	.	.	PUNCT
ajst-19145	131	1	we	we	PRON
ajst-19145	131	2	sincerely	sincerely	ADV
ajst-19145	131	3	thank	thank	VERB
ajst-19145	131	4	them	they	PRON
ajst-19145	131	5	for	for	ADP
ajst-19145	131	6	their	their	PRON
ajst-19145	131	7	contributions	contribution	NOUN
ajst-19145	131	8	and	and	CCONJ
ajst-19145	131	9	hope	hope	VERB
ajst-19145	131	10	to	to	PART
ajst-19145	131	11	continue	continue	VERB
ajst-19145	131	12	to	to	PART
ajst-19145	131	13	cooperate	cooperate	VERB
ajst-19145	131	14	with	with	ADP
ajst-19145	131	15	them	they	PRON
ajst-19145	131	16	in	in	ADP
ajst-19145	131	17	this	this	DET
ajst-19145	131	18	field	field	NOUN
ajst-19145	131	19	in	in	ADP
ajst-19145	131	20	the	the	DET
ajst-19145	131	21	future	future	NOUN
ajst-19145	131	22	to	to	PART
ajst-19145	131	23	jointly	jointly	ADV
ajst-19145	131	24	promote	promote	VERB
ajst-19145	131	25	the	the	DET
ajst-19145	131	26	development	development	NOUN
ajst-19145	131	27	of	of	ADP
ajst-19145	131	28	intelligent	intelligent	ADJ
ajst-19145	131	29	recommendation	recommendation	NOUN
ajst-19145	131	30	systems	system	NOUN
ajst-19145	131	31	.	.	PUNCT
ajst-19145	132	1	references	reference	NOUN
ajst-19145	132	2	[	[	X
ajst-19145	132	3	1	1	NUM
ajst-19145	132	4	]	]	X
ajst-19145	132	5	akbar	akbar	NOUN
ajst-19145	132	6	,	,	PUNCT
ajst-19145	132	7	a.	a.	NOUN
ajst-19145	132	8	,	,	PUNCT
ajst-19145	132	9	peoples	people	NOUN
ajst-19145	132	10	,	,	PUNCT
ajst-19145	132	11	n.	n.	PROPN
ajst-19145	132	12	,	,	PUNCT
ajst-19145	132	13	xie	xie	PROPN
ajst-19145	132	14	,	,	PUNCT
ajst-19145	132	15	h.	h.	PROPN
ajst-19145	132	16	,	,	PUNCT
ajst-19145	132	17	sergot	sergot	VERB
ajst-19145	132	18	,	,	PUNCT
ajst-19145	132	19	p.	p.	PROPN
ajst-19145	132	20	,	,	PUNCT
ajst-19145	132	21	hussein	hussein	PROPN
ajst-19145	132	22	,	,	PUNCT
ajst-19145	132	23	h.	h.	PROPN
ajst-19145	132	24	,	,	PUNCT
ajst-19145	132	25	peacock	peacock	NOUN
ajst-19145	132	26	iv	iv	PROPN
ajst-19145	132	27	,	,	PUNCT
ajst-19145	132	28	w.	w.	PROPN
ajst-19145	132	29	f.	f.	PROPN
ajst-19145	132	30	,	,	PUNCT
ajst-19145	132	31	&	&	CCONJ
ajst-19145	132	32	rafique	rafique	PROPN
ajst-19145	132	33	,	,	PUNCT
ajst-19145	132	34	z.	z.	PROPN
ajst-19145	132	35	.	.	PUNCT
ajst-19145	133	1	(	(	PUNCT
ajst-19145	133	2	2022	2022	NUM
ajst-19145	133	3	)	)	PUNCT
ajst-19145	133	4	.	.	PUNCT
ajst-19145	134	1	thrombolytic	thrombolytic	ADJ
ajst-19145	134	2	administration	administration	NOUN
ajst-19145	134	3	for	for	ADP
ajst-19145	134	4	acute	acute	ADJ
ajst-19145	134	5	ischemic	ischemic	ADJ
ajst-19145	134	6	stroke	stroke	NOUN
ajst-19145	134	7	:	:	PUNCT
ajst-19145	134	8	what	what	DET
ajst-19145	134	9	processes	process	NOUN
ajst-19145	134	10	can	can	AUX
ajst-19145	134	11	be	be	AUX
ajst-19145	134	12	optimized	optimize	VERB
ajst-19145	134	13	?	?	PUNCT
ajst-19145	134	14	.	.	PUNCT
ajst-19145	135	1	mcgill	mcgill	PROPN
ajst-19145	135	2	journal	journal	PROPN
ajst-19145	135	3	of	of	ADP
ajst-19145	135	4	medicine	medicine	NOUN
ajst-19145	135	5	,	,	PUNCT
ajst-19145	135	6	20(2	20(2	NUM
ajst-19145	135	7	)	)	PUNCT
ajst-19145	135	8	.	.	PUNCT
ajst-19145	136	1	[	[	X
ajst-19145	136	2	2	2	NUM
ajst-19145	136	3	]	]	X
ajst-19145	136	4	xiao	xiao	PROPN
ajst-19145	136	5	,	,	PUNCT
ajst-19145	136	6	j.	j.	PROPN
ajst-19145	136	7	,	,	PUNCT
ajst-19145	136	8	chen	chen	PROPN
ajst-19145	136	9	,	,	PUNCT
ajst-19145	136	10	y.	y.	PROPN
ajst-19145	136	11	,	,	PUNCT
ajst-19145	136	12	ou	ou	PROPN
ajst-19145	136	13	,	,	PUNCT
ajst-19145	136	14	y.	y.	PROPN
ajst-19145	136	15	,	,	PUNCT
ajst-19145	136	16	yu	yu	PROPN
ajst-19145	136	17	,	,	PUNCT
ajst-19145	136	18	h.	h.	PROPN
ajst-19145	136	19	,	,	PUNCT
ajst-19145	136	20	&	&	CCONJ
ajst-19145	136	21	xiao	xiao	PROPN
ajst-19145	136	22	,	,	PUNCT
ajst-19145	136	23	y.	y.	PROPN
ajst-19145	136	24	(	(	PUNCT
ajst-19145	136	25	2024	2024	NUM
ajst-19145	136	26	)	)	PUNCT
ajst-19145	136	27	.	.	PUNCT
ajst-19145	137	1	baichuan2	baichuan2	ADJ
ajst-19145	137	2	-	-	PUNCT
ajst-19145	137	3	sum	sum	NOUN
ajst-19145	137	4	:	:	PUNCT
ajst-19145	137	5	instruction	instruction	NOUN
ajst-19145	137	6	finetune	finetune	NOUN
ajst-19145	137	7	baichuan2	baichuan2	PROPN
ajst-19145	137	8	-	-	PUNCT
ajst-19145	137	9	7b	7b	PROPN
ajst-19145	137	10	model	model	NOUN
ajst-19145	137	11	for	for	ADP
ajst-19145	137	12	dialogue	dialogue	NOUN
ajst-19145	137	13	summarization	summarization	NOUN
ajst-19145	137	14	.	.	PUNCT
ajst-19145	138	1	arxiv	arxiv	PROPN
ajst-19145	138	2	preprint	preprint	VERB
ajst-19145	138	3	arxiv:2401.15496	arxiv:2401.15496	NOUN
ajst-19145	138	4	.	.	PUNCT
ajst-19145	139	1	[	[	X
ajst-19145	139	2	3	3	NUM
ajst-19145	139	3	]	]	X
ajst-19145	139	4	huo	huo	NOUN
ajst-19145	139	5	,	,	PUNCT
ajst-19145	139	6	shuning	shuning	NOUN
ajst-19145	139	7	,	,	PUNCT
ajst-19145	139	8	et	et	PROPN
ajst-19145	139	9	al	al	PROPN
ajst-19145	139	10	.	.	PUNCT
ajst-19145	140	1	"	"	PUNCT
ajst-19145	140	2	deep	deep	ADJ
ajst-19145	140	3	learning	learning	NOUN
ajst-19145	140	4	approaches	approach	NOUN
ajst-19145	140	5	for	for	ADP
ajst-19145	140	6	improving	improve	VERB
ajst-19145	140	7	question	question	NOUN
ajst-19145	140	8	answering	answer	VERB
ajst-19145	140	9	systems	system	NOUN
ajst-19145	140	10	in	in	ADP
ajst-19145	140	11	hepatocellular	hepatocellular	ADJ
ajst-19145	140	12	carcinoma	carcinoma	NOUN
ajst-19145	140	13	research	research	NOUN
ajst-19145	140	14	.	.	PUNCT
ajst-19145	140	15	"	"	PUNCT
ajst-19145	141	1	arxiv	arxiv	PROPN
ajst-19145	141	2	preprint	preprint	PROPN
ajst-19145	141	3	arxiv:2402.16038	arxiv:2402.16038	PROPN
ajst-19145	141	4	(	(	PUNCT
ajst-19145	141	5	2024	2024	NUM
ajst-19145	141	6	)	)	PUNCT
ajst-19145	141	7	.	.	PUNCT
ajst-19145	142	1	[	[	X
ajst-19145	142	2	4	4	NUM
ajst-19145	142	3	]	]	X
ajst-19145	142	4	yu	yu	PROPN
ajst-19145	142	5	,	,	PUNCT
ajst-19145	142	6	hanyi	hanyi	PROPN
ajst-19145	142	7	,	,	PUNCT
ajst-19145	142	8	et	et	PROPN
ajst-19145	142	9	al	al	PROPN
ajst-19145	142	10	.	.	PUNCT
ajst-19145	143	1	"	"	PUNCT
ajst-19145	143	2	machine	machine	NOUN
ajst-19145	143	3	learning	learning	NOUN
ajst-19145	143	4	-	-	PUNCT
ajst-19145	143	5	based	base	VERB
ajst-19145	143	6	vehicle	vehicle	NOUN
ajst-19145	143	7	intention	intention	NOUN
ajst-19145	143	8	trajectory	trajectory	NOUN
ajst-19145	143	9	recognition	recognition	NOUN
ajst-19145	143	10	and	and	CCONJ
ajst-19145	143	11	prediction	prediction	NOUN
ajst-19145	143	12	for	for	ADP
ajst-19145	143	13	autonomous	autonomous	ADJ
ajst-19145	143	14	driving	driving	NOUN
ajst-19145	143	15	.	.	PUNCT
ajst-19145	143	16	"	"	PUNCT
ajst-19145	144	1	arxiv	arxiv	PROPN
ajst-19145	144	2	preprint	preprint	NOUN
ajst-19145	144	3	arxiv:2402.16036	arxiv:2402.16036	NOUN
ajst-19145	144	4	(	(	PUNCT
ajst-19145	144	5	2024	2024	NUM
ajst-19145	144	6	)	)	PUNCT
ajst-19145	144	7	.	.	PUNCT
ajst-19145	145	1	[	[	X
ajst-19145	145	2	5	5	NUM
ajst-19145	145	3	]	]	SYM
ajst-19145	145	4	xiang	xiang	PROPN
ajst-19145	145	5	,	,	PUNCT
ajst-19145	145	6	yafei	yafei	PROPN
ajst-19145	145	7	,	,	PUNCT
ajst-19145	145	8	et	et	PROPN
ajst-19145	145	9	al	al	PROPN
ajst-19145	145	10	.	.	PUNCT
ajst-19145	146	1	"	"	PUNCT
ajst-19145	146	2	text	text	NOUN
ajst-19145	146	3	understanding	understanding	NOUN
ajst-19145	146	4	and	and	CCONJ
ajst-19145	146	5	generation	generation	NOUN
ajst-19145	146	6	using	use	VERB
ajst-19145	146	7	transformer	transformer	NOUN
ajst-19145	146	8	models	model	NOUN
ajst-19145	146	9	for	for	ADP
ajst-19145	146	10	intelligent	intelligent	ADJ
ajst-19145	146	11	e	e	ADJ
ajst-19145	146	12	-	-	ADJ
ajst-19145	146	13	commerce	commerce	NOUN
ajst-19145	146	14	recommendations	recommendation	NOUN
ajst-19145	146	15	.	.	PUNCT
ajst-19145	146	16	"	"	PUNCT
ajst-19145	147	1	arxiv	arxiv	PROPN
ajst-19145	147	2	preprint	preprint	NOUN
ajst-19145	147	3	arxiv:2402.16035	arxiv:2402.16035	NOUN
ajst-19145	147	4	(	(	PUNCT
ajst-19145	147	5	2024	2024	NUM
ajst-19145	147	6	)	)	PUNCT
ajst-19145	147	7	.	.	PUNCT
ajst-19145	148	1	[	[	X
ajst-19145	148	2	6	6	NUM
ajst-19145	148	3	]	]	X
ajst-19145	148	4	zhu	zhu	PROPN
ajst-19145	148	5	,	,	PUNCT
ajst-19145	148	6	mengran	mengran	NOUN
ajst-19145	148	7	,	,	PUNCT
ajst-19145	148	8	et	et	PROPN
ajst-19145	148	9	al	al	PROPN
ajst-19145	148	10	.	.	PUNCT
ajst-19145	149	1	"	"	PUNCT
ajst-19145	149	2	utilizing	utilize	VERB
ajst-19145	149	3	gans	gan	NOUN
ajst-19145	149	4	for	for	ADP
ajst-19145	149	5	fraud	fraud	NOUN
ajst-19145	149	6	detection	detection	NOUN
ajst-19145	149	7	:	:	PUNCT
ajst-19145	149	8	model	model	NOUN
ajst-19145	149	9	training	training	NOUN
ajst-19145	149	10	with	with	ADP
ajst-19145	149	11	synthetic	synthetic	ADJ
ajst-19145	149	12	transaction	transaction	NOUN
ajst-19145	149	13	data	datum	NOUN
ajst-19145	149	14	.	.	PUNCT
ajst-19145	149	15	"	"	PUNCT
ajst-19145	150	1	arxiv	arxiv	PROPN
ajst-19145	150	2	preprint	preprint	VERB
ajst-19145	150	3	arxiv:2402.09830	arxiv:2402.09830	NOUN
ajst-19145	150	4	(	(	PUNCT
ajst-19145	150	5	2024	2024	NUM
ajst-19145	150	6	)	)	PUNCT
ajst-19145	150	7	.	.	PUNCT
ajst-19145	151	1	[	[	X
ajst-19145	151	2	7	7	NUM
ajst-19145	151	3	]	]	X
ajst-19145	151	4	gong	gong	NOUN
ajst-19145	151	5	,	,	PUNCT
ajst-19145	151	6	yulu	yulu	VERB
ajst-19145	151	7	,	,	PUNCT
ajst-19145	151	8	et	et	PROPN
ajst-19145	151	9	al	al	PROPN
ajst-19145	151	10	.	.	PUNCT
ajst-19145	152	1	"	"	PUNCT
ajst-19145	152	2	enhancing	enhance	VERB
ajst-19145	152	3	cybersecurity	cybersecurity	NOUN
ajst-19145	152	4	resilience	resilience	NOUN
ajst-19145	152	5	in	in	ADP
ajst-19145	152	6	finance	finance	NOUN
ajst-19145	152	7	with	with	ADP
ajst-19145	152	8	deep	deep	ADJ
ajst-19145	152	9	learning	learning	NOUN
ajst-19145	152	10	for	for	ADP
ajst-19145	152	11	advanced	advanced	ADJ
ajst-19145	152	12	threat	threat	NOUN
ajst-19145	152	13	detection	detection	NOUN
ajst-19145	152	14	.	.	PUNCT
ajst-19145	152	15	"	"	PUNCT
ajst-19145	153	1	arxiv	arxiv	PROPN
ajst-19145	153	2	preprint	preprint	NOUN
ajst-19145	153	3	arxiv:2402.09820	arxiv:2402.09820	NOUN
ajst-19145	153	4	(	(	PUNCT
ajst-19145	153	5	2024	2024	NUM
ajst-19145	153	6	)	)	PUNCT
ajst-19145	153	7	.	.	PUNCT
ajst-19145	154	1	[	[	X
ajst-19145	154	2	8	8	NUM
ajst-19145	154	3	]	]	X
ajst-19145	154	4	zhang	zhang	PROPN
ajst-19145	154	5	,	,	PUNCT
ajst-19145	154	6	y.	y.	PROPN
ajst-19145	154	7	,	,	PUNCT
ajst-19145	154	8	&	&	CCONJ
ajst-19145	154	9	zhang	zhang	PROPN
ajst-19145	154	10	,	,	PUNCT
ajst-19145	154	11	h.	h.	PROPN
ajst-19145	154	12	(	(	PUNCT
ajst-19145	154	13	2023	2023	NUM
ajst-19145	154	14	)	)	PUNCT
ajst-19145	154	15	.	.	PUNCT
ajst-19145	155	1	enhancing	enhance	VERB
ajst-19145	155	2	robot	robot	NOUN
ajst-19145	155	3	path	path	NOUN
ajst-19145	155	4	planning	plan	VERB
ajst-19145	155	5	through	through	ADP
ajst-19145	155	6	a	a	DET
ajst-19145	155	7	twin	twin	ADJ
ajst-19145	155	8	-	-	PUNCT
ajst-19145	155	9	reinforced	reinforce	VERB
ajst-19145	155	10	chimp	chimp	NOUN
ajst-19145	155	11	optimization	optimization	NOUN
ajst-19145	155	12	algorithm	algorithm	NOUN
ajst-19145	155	13	and	and	CCONJ
ajst-19145	155	14	evolutionary	evolutionary	ADJ
ajst-19145	155	15	programming	programming	NOUN
ajst-19145	155	16	algorithm	algorithm	NOUN
ajst-19145	155	17	.	.	PUNCT
ajst-19145	156	1	ieee	ieee	NOUN
ajst-19145	156	2	access	access	NOUN
ajst-19145	156	3	.	.	PUNCT
ajst-19145	157	1	[	[	X
ajst-19145	157	2	9	9	NUM
ajst-19145	157	3	]	]	SYM
ajst-19145	157	4	chen	chen	PROPN
ajst-19145	157	5	,	,	PUNCT
ajst-19145	157	6	jianhang	jianhang	PROPN
ajst-19145	157	7	,	,	PUNCT
ajst-19145	157	8	et	et	PROPN
ajst-19145	157	9	al	al	PROPN
ajst-19145	157	10	.	.	PUNCT
ajst-19145	158	1	"	"	PUNCT
ajst-19145	158	2	one	one	NUM
ajst-19145	158	3	-	-	PUNCT
ajst-19145	158	4	stage	stage	NOUN
ajst-19145	158	5	object	object	NOUN
ajst-19145	158	6	referring	refer	VERB
ajst-19145	158	7	with	with	ADP
ajst-19145	158	8	gaze	gaze	NOUN
ajst-19145	158	9	estimation	estimation	NOUN
ajst-19145	158	10	.	.	PUNCT
ajst-19145	158	11	"	"	PUNCT
ajst-19145	159	1	proceedings	proceeding	NOUN
ajst-19145	159	2	of	of	ADP
ajst-19145	159	3	the	the	DET
ajst-19145	159	4	ieee	ieee	NOUN
ajst-19145	159	5	/	/	SYM
ajst-19145	159	6	cvf	cvf	NOUN
ajst-19145	159	7	conference	conference	NOUN
ajst-19145	159	8	on	on	ADP
ajst-19145	159	9	computer	computer	NOUN
ajst-19145	159	10	vision	vision	NOUN
ajst-19145	159	11	and	and	CCONJ
ajst-19145	159	12	pattern	pattern	NOUN
ajst-19145	159	13	recognition	recognition	NOUN
ajst-19145	159	14	.	.	PUNCT
ajst-19145	160	1	2022	2022	NUM
ajst-19145	160	2	.	.	PUNCT
ajst-19145	161	1	[	[	X
ajst-19145	161	2	10	10	NUM
ajst-19145	161	3	]	]	X
ajst-19145	161	4	duan	duan	PROPN
ajst-19145	161	5	,	,	PUNCT
ajst-19145	161	6	shiheng	shiheng	PROPN
ajst-19145	161	7	,	,	PUNCT
ajst-19145	161	8	et	et	PROPN
ajst-19145	161	9	al	al	PROPN
ajst-19145	161	10	.	.	PUNCT
ajst-19145	162	1	“	"	PUNCT
ajst-19145	162	2	prediction	prediction	NOUN
ajst-19145	162	3	of	of	ADP
ajst-19145	162	4	atmospheric	atmospheric	ADJ
ajst-19145	162	5	carbon	carbon	NOUN
ajst-19145	162	6	dioxide	dioxide	NOUN
ajst-19145	162	7	radiative	radiative	ADJ
ajst-19145	162	8	transfer	transfer	NOUN
ajst-19145	162	9	model	model	NOUN
ajst-19145	162	10	based	base	VERB
ajst-19145	162	11	on	on	ADP
ajst-19145	162	12	machine	machine	NOUN
ajst-19145	162	13	learning	learning	NOUN
ajst-19145	162	14	”	"	PUNCT
ajst-19145	162	15	.	.	PUNCT
ajst-19145	163	1	frontiers	frontier	NOUN
ajst-19145	163	2	in	in	ADP
ajst-19145	163	3	computing	computing	NOUN
ajst-19145	163	4	and	and	CCONJ
ajst-19145	163	5	intelligent	intelligent	ADJ
ajst-19145	163	6	systems	system	NOUN
ajst-19145	163	7	,	,	PUNCT
ajst-19145	163	8	vol	vol	NOUN
ajst-19145	163	9	.	.	PROPN
ajst-19145	163	10	6	6	NUM
ajst-19145	163	11	,	,	PUNCT
ajst-19145	163	12	no	no	INTJ
ajst-19145	163	13	.	.	NOUN
ajst-19145	163	14	3	3	NUM
ajst-19145	163	15	,	,	PUNCT
ajst-19145	163	16	jan	jan	PROPN
ajst-19145	163	17	.	.	PROPN
ajst-19145	163	18	2024	2024	NUM
ajst-19145	163	19	,	,	PUNCT
ajst-19145	163	20	pp	pp	ADV
ajst-19145	163	21	.	.	PUNCT
ajst-19145	164	1	132	132	NUM
ajst-19145	164	2	-	-	SYM
ajst-19145	164	3	6	6	NUM
ajst-19145	164	4	,	,	PUNCT
ajst-19145	164	5	https://doi.org/10.54097/obmpjw5n	https://doi.org/10.54097/obmpjw5n	X
ajst-19145	164	6	.	.	PUNCT
ajst-19145	165	1	[	[	X
ajst-19145	165	2	11	11	NUM
ajst-19145	165	3	]	]	X
ajst-19145	165	4	chen	chen	PROPN
ajst-19145	165	5	,	,	PUNCT
ajst-19145	165	6	jianfeng	jianfeng	PROPN
ajst-19145	165	7	,	,	PUNCT
ajst-19145	165	8	et	et	PROPN
ajst-19145	165	9	al	al	PROPN
ajst-19145	165	10	.	.	PUNCT
ajst-19145	166	1	“	"	PUNCT
ajst-19145	166	2	implementation	implementation	NOUN
ajst-19145	166	3	of	of	ADP
ajst-19145	166	4	an	an	DET
ajst-19145	166	5	ai	ai	NOUN
ajst-19145	166	6	-	-	PUNCT
ajst-19145	166	7	based	base	VERB
ajst-19145	166	8	mrd	mrd	ADJ
ajst-19145	166	9	evaluation	evaluation	NOUN
ajst-19145	166	10	and	and	CCONJ
ajst-19145	166	11	prediction	prediction	NOUN
ajst-19145	166	12	model	model	NOUN
ajst-19145	166	13	for	for	ADP
ajst-19145	166	14	multiple	multiple	ADJ
ajst-19145	166	15	myeloma	myeloma	NOUN
ajst-19145	166	16	”	"	PUNCT
ajst-19145	166	17	.	.	PUNCT
ajst-19145	167	1	frontiers	frontier	NOUN
ajst-19145	167	2	in	in	ADP
ajst-19145	167	3	computing	computing	NOUN
ajst-19145	167	4	and	and	CCONJ
ajst-19145	167	5	intelligent	intelligent	ADJ
ajst-19145	167	6	systems	system	NOUN
ajst-19145	167	7	,	,	PUNCT
ajst-19145	167	8	vol	vol	NOUN
ajst-19145	167	9	.	.	PROPN
ajst-19145	167	10	6	6	NUM
ajst-19145	167	11	,	,	PUNCT
ajst-19145	167	12	no	no	INTJ
ajst-19145	167	13	.	.	NOUN
ajst-19145	167	14	3	3	NUM
ajst-19145	167	15	,	,	PUNCT
ajst-19145	167	16	jan	jan	PROPN
ajst-19145	167	17	.	.	PROPN
ajst-19145	167	18	2024	2024	NUM
ajst-19145	167	19	,	,	PUNCT
ajst-19145	167	20	pp	pp	ADJ
ajst-19145	167	21	.	.	PUNCT
ajst-19145	168	1	127	127	NUM
ajst-19145	168	2	-	-	SYM
ajst-19145	168	3	31	31	NUM
ajst-19145	168	4	,	,	PUNCT
ajst-19145	168	5	https://doi.org/10.54097/zj4mnbww	https://doi.org/10.54097/zj4mnbww	NOUN
ajst-19145	168	6	.	.	PUNCT
ajst-19145	169	1	[	[	X
ajst-19145	169	2	12	12	NUM
ajst-19145	169	3	]	]	PUNCT
ajst-19145	169	4	“	"	PUNCT
ajst-19145	169	5	implementation	implementation	NOUN
ajst-19145	169	6	of	of	ADP
ajst-19145	169	7	computer	computer	NOUN
ajst-19145	169	8	vision	vision	NOUN
ajst-19145	169	9	technology	technology	NOUN
ajst-19145	169	10	based	base	VERB
ajst-19145	169	11	on	on	ADP
ajst-19145	169	12	artificial	artificial	ADJ
ajst-19145	169	13	intelligence	intelligence	NOUN
ajst-19145	169	14	for	for	ADP
ajst-19145	169	15	medical	medical	ADJ
ajst-19145	169	16	image	image	NOUN
ajst-19145	169	17	analysis	analysis	NOUN
ajst-19145	169	18	”	"	PUNCT
ajst-19145	169	19	.	.	PUNCT
ajst-19145	170	1	international	international	ADJ
ajst-19145	170	2	journal	journal	PROPN
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ajst-19145	170	4	computer	computer	NOUN
ajst-19145	170	5	science	science	NOUN
ajst-19145	170	6	and	and	CCONJ
ajst-19145	170	7	information	information	NOUN
ajst-19145	170	8	technology	technology	NOUN
ajst-19145	170	9	,	,	PUNCT
ajst-19145	170	10	vol	vol	NOUN
ajst-19145	170	11	.	.	PROPN
ajst-19145	170	12	1	1	NUM
ajst-19145	170	13	,	,	PUNCT
ajst-19145	170	14	no	no	INTJ
ajst-19145	170	15	.	.	NOUN
ajst-19145	170	16	1	1	NUM
ajst-19145	170	17	,	,	PUNCT
ajst-19145	170	18	dec	dec	PROPN
ajst-19145	170	19	.	.	PROPN
ajst-19145	170	20	2023	2023	NUM
ajst-19145	170	21	,	,	PUNCT
ajst-19145	170	22	pp	pp	ADJ
ajst-19145	170	23	.	.	PUNCT
ajst-19145	171	1	69	69	NUM
ajst-19145	171	2	-	-	SYM
ajst-19145	171	3	76	76	NUM
ajst-19145	171	4	,	,	PUNCT
ajst-19145	171	5	https://doi.org/10.62051/ijcsit.v1n1.10	https://doi.org/10.62051/ijcsit.v1n1.10	NOUN
ajst-19145	171	6	.	.	PUNCT
ajst-19145	172	1	[	[	X
ajst-19145	172	2	13	13	NUM
ajst-19145	172	3	]	]	SYM
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ajst-19145	173	1	“	"	PUNCT
ajst-19145	173	2	a	a	DET
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ajst-19145	173	4	learning	learning	NOUN
ajst-19145	173	5	-	-	PUNCT
ajst-19145	173	6	based	base	VERB
ajst-19145	173	7	algorithm	algorithm	NOUN
ajst-19145	173	8	for	for	ADP
ajst-19145	173	9	crop	crop	NOUN
ajst-19145	173	10	disease	disease	NOUN
ajst-19145	173	11	identification	identification	NOUN
ajst-19145	173	12	positioning	positioning	NOUN
ajst-19145	173	13	using	use	VERB
ajst-19145	173	14	computer	computer	NOUN
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ajst-19145	173	16	.	.	PUNCT
ajst-19145	173	17	”	"	PUNCT
ajst-19145	174	1	international	international	ADJ
ajst-19145	174	2	journal	journal	NOUN
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ajst-19145	174	4	computer	computer	NOUN
ajst-19145	174	5	science	science	NOUN
ajst-19145	174	6	and	and	CCONJ
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ajst-19145	174	8	technology	technology	NOUN
ajst-19145	174	9	(	(	PUNCT
ajst-19145	174	10	2023	2023	NUM
ajst-19145	174	11	):	):	PUNCT
ajst-19145	174	12	n.	n.	PROPN
ajst-19145	174	13	pag	pag	PROPN
ajst-19145	174	14	.	.	PUNCT
ajst-19145	175	1	[	[	X
ajst-19145	175	2	14	14	NUM
ajst-19145	175	3	]	]	PUNCT
ajst-19145	175	4	“	"	PUNCT
ajst-19145	175	5	machine	machine	NOUN
ajst-19145	175	6	learning	learning	NOUN
ajst-19145	175	7	model	model	NOUN
ajst-19145	175	8	training	training	NOUN
ajst-19145	175	9	and	and	CCONJ
ajst-19145	175	10	practice	practice	NOUN
ajst-19145	175	11	:	:	PUNCT
ajst-19145	175	12	a	a	DET
ajst-19145	175	13	study	study	NOUN
ajst-19145	175	14	on	on	ADP
ajst-19145	175	15	constructing	construct	VERB
ajst-19145	175	16	a	a	DET
ajst-19145	175	17	novel	novel	ADJ
ajst-19145	175	18	drug	drug	NOUN
ajst-19145	175	19	detection	detection	NOUN
ajst-19145	175	20	system	system	NOUN
ajst-19145	175	21	”	"	PUNCT
ajst-19145	175	22	.	.	PUNCT
ajst-19145	176	1	international	international	ADJ
ajst-19145	176	2	journal	journal	PROPN
ajst-19145	176	3	of	of	ADP
ajst-19145	176	4	computer	computer	NOUN
ajst-19145	176	5	science	science	NOUN
ajst-19145	176	6	and	and	CCONJ
ajst-19145	176	7	information	information	NOUN
ajst-19145	176	8	technology	technology	NOUN
ajst-19145	176	9	,	,	PUNCT
ajst-19145	176	10	vol	vol	NOUN
ajst-19145	176	11	.	.	PROPN
ajst-19145	176	12	1	1	NUM
ajst-19145	176	13	,	,	PUNCT
ajst-19145	176	14	no	no	INTJ
ajst-19145	176	15	.	.	NOUN
ajst-19145	176	16	1	1	NUM
ajst-19145	176	17	,	,	PUNCT
ajst-19145	176	18	dec	dec	PROPN
ajst-19145	176	19	.	.	PROPN
ajst-19145	176	20	2023	2023	NUM
ajst-19145	176	21	,	,	PUNCT
ajst-19145	176	22	pp	pp	ADJ
ajst-19145	176	23	.	.	PUNCT
ajst-19145	177	1	139	139	NUM
ajst-19145	177	2	-	-	SYM
ajst-19145	177	3	46	46	NUM
ajst-19145	177	4	,	,	PUNCT
ajst-19145	177	5	https://doi.org/10.62051/ijcsit.v1n1.19	https://doi.org/10.62051/ijcsit.v1n1.19	NOUN
ajst-19145	177	6	.	.	PUNCT
ajst-19145	178	1	[	[	X
ajst-19145	178	2	15	15	NUM
ajst-19145	178	3	]	]	PUNCT
ajst-19145	178	4	“	"	PUNCT
ajst-19145	178	5	unveiling	unveil	VERB
ajst-19145	178	6	the	the	DET
ajst-19145	178	7	future	future	NOUN
ajst-19145	178	8	navigating	navigate	VERB
ajst-19145	178	9	next	next	ADJ
ajst-19145	178	10	-	-	PUNCT
ajst-19145	178	11	generation	generation	NOUN
ajst-19145	178	12	ai	ai	PROPN
ajst-19145	178	13	frontiers	frontier	NOUN
ajst-19145	178	14	and	and	CCONJ
ajst-19145	178	15	innovations	innovation	NOUN
ajst-19145	178	16	in	in	ADP
ajst-19145	178	17	application	application	NOUN
ajst-19145	178	18	”	"	PUNCT
ajst-19145	178	19	.	.	PUNCT
ajst-19145	179	1	international	international	ADJ
ajst-19145	179	2	journal	journal	PROPN
ajst-19145	179	3	of	of	ADP
ajst-19145	179	4	computer	computer	NOUN
ajst-19145	179	5	science	science	NOUN
ajst-19145	179	6	and	and	CCONJ
ajst-19145	179	7	information	information	NOUN
ajst-19145	179	8	technology	technology	NOUN
ajst-19145	179	9	,	,	PUNCT
ajst-19145	179	10	vol	vol	NOUN
ajst-19145	179	11	.	.	PROPN
ajst-19145	179	12	1	1	NUM
ajst-19145	179	13	,	,	PUNCT
ajst-19145	179	14	no	no	INTJ
ajst-19145	179	15	.	.	NOUN
ajst-19145	179	16	1	1	NUM
ajst-19145	179	17	,	,	PUNCT
ajst-19145	179	18	dec	dec	PROPN
ajst-19145	179	19	.	.	PROPN
ajst-19145	179	20	2023	2023	NUM
ajst-19145	179	21	,	,	PUNCT
ajst-19145	179	22	pp	pp	ADJ
ajst-19145	179	23	.	.	PUNCT
ajst-19145	180	1	147	147	NUM
ajst-19145	180	2	-	-	SYM
ajst-19145	180	3	56	56	NUM
ajst-19145	180	4	,	,	PUNCT
ajst-19145	180	5	https://doi.org/10.62051/ijcsit.v1n1.20	https://doi.org/10.62051/ijcsit.v1n1.20	NOUN
ajst-19145	180	6	.	.	PUNCT
ajst-19145	181	1	[	[	X
ajst-19145	181	2	16	16	NUM
ajst-19145	181	3	]	]	X
ajst-19145	181	4	w.	w.	PROPN
ajst-19145	181	5	sun	sun	PROPN
ajst-19145	181	6	,	,	PUNCT
ajst-19145	181	7	w.	w.	PROPN
ajst-19145	181	8	wan	wan	PROPN
ajst-19145	181	9	,	,	PUNCT
ajst-19145	181	10	l.	l.	PROPN
ajst-19145	181	11	pan	pan	PROPN
ajst-19145	181	12	,	,	PUNCT
ajst-19145	181	13	j.	j.	PROPN
ajst-19145	181	14	xu	xu	PROPN
ajst-19145	181	15	,	,	PUNCT
ajst-19145	181	16	and	and	CCONJ
ajst-19145	181	17	q.	q.	PROPN
ajst-19145	181	18	zeng	zeng	PROPN
ajst-19145	181	19	,	,	PUNCT
ajst-19145	181	20	“	"	PUNCT
ajst-19145	181	21	the	the	DET
ajst-19145	181	22	integration	integration	NOUN
ajst-19145	181	23	of	of	ADP
ajst-19145	181	24	large	large	ADJ
ajst-19145	181	25	-	-	PUNCT
ajst-19145	181	26	scale	scale	NOUN
ajst-19145	181	27	language	language	NOUN
ajst-19145	181	28	models	model	NOUN
ajst-19145	181	29	into	into	ADP
ajst-19145	181	30	intelligent	intelligent	ADJ
ajst-19145	181	31	adjudication	adjudication	NOUN
ajst-19145	181	32	:	:	PUNCT
ajst-19145	181	33	justification	justification	NOUN
ajst-19145	181	34	rules	rule	NOUN
ajst-19145	181	35	and	and	CCONJ
ajst-19145	181	36	implementation	implementation	NOUN
ajst-19145	181	37	pathways	pathway	NOUN
ajst-19145	181	38	”	"	PUNCT
ajst-19145	181	39	,	,	PUNCT
ajst-19145	181	40	journal	journal	NOUN
ajst-19145	181	41	of	of	ADP
ajst-19145	181	42	industrial	industrial	ADJ
ajst-19145	181	43	engineering	engineering	PROPN
ajst-19145	181	44	&	&	CCONJ
ajst-19145	181	45	amp	amp	PROPN
ajst-19145	181	46	;	;	PUNCT
ajst-19145	181	47	applied	apply	VERB
ajst-19145	181	48	science	science	NOUN
ajst-19145	181	49	,	,	PUNCT
ajst-19145	181	50	vol	vol	NOUN
ajst-19145	181	51	.	.	PROPN
ajst-19145	181	52	2	2	NUM
ajst-19145	181	53	,	,	PUNCT
ajst-19145	181	54	no	no	INTJ
ajst-19145	181	55	.	.	NOUN
ajst-19145	181	56	1	1	NUM
ajst-19145	181	57	,	,	PUNCT
ajst-19145	181	58	pp	pp	ADJ
ajst-19145	181	59	.	.	PUNCT
ajst-19145	182	1	13–20	13–20	NUM
ajst-19145	182	2	,	,	PUNCT
ajst-19145	182	3	feb	feb	PROPN
ajst-19145	182	4	.	.	PROPN
ajst-19145	182	5	2024	2024	NUM
ajst-19145	182	6	.	.	PUNCT
ajst-19145	183	1	[	[	X
ajst-19145	183	2	17	17	NUM
ajst-19145	183	3	]	]	X
ajst-19145	183	4	zhou	zhou	PROPN
ajst-19145	183	5	,	,	PUNCT
ajst-19145	183	6	yanlin	yanlin	PROPN
ajst-19145	183	7	,	,	PUNCT
ajst-19145	183	8	et	et	PROPN
ajst-19145	183	9	al	al	PROPN
ajst-19145	183	10	.	.	PUNCT
ajst-19145	184	1	"	"	PUNCT
ajst-19145	184	2	utilizing	utilize	VERB
ajst-19145	184	3	ai	ai	VERB
ajst-19145	184	4	-	-	PUNCT
ajst-19145	184	5	enhanced	enhance	VERB
ajst-19145	184	6	multi	multi	ADJ
ajst-19145	184	7	-	-	ADJ
ajst-19145	184	8	omics	omics	ADJ
ajst-19145	184	9	integration	integration	NOUN
ajst-19145	184	10	for	for	ADP
ajst-19145	184	11	predictive	predictive	ADJ
ajst-19145	184	12	modeling	modeling	NOUN
ajst-19145	184	13	of	of	ADP
ajst-19145	184	14	disease	disease	NOUN
ajst-19145	184	15	susceptibility	susceptibility	NOUN
ajst-19145	184	16	in	in	ADP
ajst-19145	184	17	functional	functional	ADJ
ajst-19145	184	18	phenotypes	phenotype	NOUN
ajst-19145	184	19	.	.	PUNCT
ajst-19145	184	20	"	"	PUNCT
ajst-19145	185	1	journal	journal	NOUN
ajst-19145	185	2	of	of	ADP
ajst-19145	185	3	theory	theory	NOUN
ajst-19145	185	4	and	and	CCONJ
ajst-19145	185	5	practice	practice	NOUN
ajst-19145	185	6	of	of	ADP
ajst-19145	185	7	engineering	engineer	VERB
ajst-19145	185	8	science	science	NOUN
ajst-19145	185	9	4.02	4.02	NUM
ajst-19145	185	10	(	(	PUNCT
ajst-19145	185	11	2024	2024	NUM
ajst-19145	185	12	):	):	PUNCT
ajst-19145	185	13	45	45	NUM
ajst-19145	185	14	-	-	SYM
ajst-19145	185	15	51	51	NUM
ajst-19145	185	16	.	.	PUNCT
ajst-19145	186	1	[	[	X
ajst-19145	186	2	18	18	NUM
ajst-19145	186	3	]	]	X
ajst-19145	186	4	q.	q.	PROPN
ajst-19145	186	5	cheng	cheng	PROPN
ajst-19145	186	6	,	,	PUNCT
ajst-19145	186	7	m.	m.	PROPN
ajst-19145	186	8	tian	tian	PROPN
ajst-19145	186	9	,	,	PUNCT
ajst-19145	186	10	l.	l.	PROPN
ajst-19145	186	11	yang	yang	PROPN
ajst-19145	186	12	,	,	PUNCT
ajst-19145	186	13	j.	j.	PROPN
ajst-19145	186	14	zheng	zheng	PROPN
ajst-19145	186	15	,	,	PUNCT
ajst-19145	186	16	and	and	CCONJ
ajst-19145	186	17	d.	d.	PROPN
ajst-19145	186	18	xin	xin	PROPN
ajst-19145	186	19	,	,	PUNCT
ajst-19145	186	20	“	"	PUNCT
ajst-19145	186	21	enhancing	enhance	VERB
ajst-19145	186	22	high	high	ADJ
ajst-19145	186	23	-	-	PUNCT
ajst-19145	186	24	frequency	frequency	NOUN
ajst-19145	186	25	trading	trading	NOUN
ajst-19145	186	26	strategies	strategy	NOUN
ajst-19145	186	27	with	with	ADP
ajst-19145	186	28	edge	edge	NOUN
ajst-19145	186	29	computing	computing	NOUN
ajst-19145	186	30	and	and	CCONJ
ajst-19145	186	31	deep	deep	ADJ
ajst-19145	186	32	learning	learning	NOUN
ajst-19145	186	33	”	"	PUNCT
ajst-19145	186	34	,	,	PUNCT
ajst-19145	186	35	journal	journal	NOUN
ajst-19145	186	36	of	of	ADP
ajst-19145	186	37	industrial	industrial	ADJ
ajst-19145	186	38	engineering	engineering	PROPN
ajst-19145	186	39	&	&	CCONJ
ajst-19145	186	40	amp	amp	PROPN
ajst-19145	186	41	;	;	PUNCT
ajst-19145	186	42	applied	apply	VERB
ajst-19145	186	43	science	science	NOUN
ajst-19145	186	44	,	,	PUNCT
ajst-19145	186	45	vol	vol	NOUN
ajst-19145	186	46	.	.	PROPN
ajst-19145	186	47	2	2	NUM
ajst-19145	186	48	,	,	PUNCT
ajst-19145	186	49	no	no	INTJ
ajst-19145	186	50	.	.	NOUN
ajst-19145	186	51	1	1	NUM
ajst-19145	186	52	,	,	PUNCT
ajst-19145	186	53	pp	pp	ADJ
ajst-19145	186	54	.	.	PUNCT
ajst-19145	187	1	32–38	32–38	NUM
ajst-19145	187	2	,	,	PUNCT
ajst-19145	187	3	feb	feb	PROPN
ajst-19145	187	4	.	.	PROPN
ajst-19145	187	5	2024	2024	NUM
ajst-19145	187	6	.	.	PUNCT
ajst-19145	188	1	[	[	X
ajst-19145	188	2	19	19	NUM
ajst-19145	188	3	]	]	X
ajst-19145	188	4	liang	liang	PROPN
ajst-19145	188	5	,	,	PUNCT
ajst-19145	188	6	penghao	penghao	PROPN
ajst-19145	188	7	,	,	PUNCT
ajst-19145	188	8	et	et	PROPN
ajst-19145	188	9	al	al	PROPN
ajst-19145	188	10	.	.	PUNCT
ajst-19145	188	11	"	"	PUNCT
ajst-19145	188	12	enhancing	enhance	VERB
ajst-19145	188	13	security	security	NOUN
ajst-19145	188	14	in	in	ADP
ajst-19145	188	15	devops	devop	NOUN
ajst-19145	188	16	by	by	ADP
ajst-19145	188	17	integrating	integrate	VERB
ajst-19145	188	18	artificial	artificial	ADJ
ajst-19145	188	19	intelligence	intelligence	NOUN
ajst-19145	188	20	and	and	CCONJ
ajst-19145	188	21	machine	machine	NOUN
ajst-19145	188	22	learning	learning	NOUN
ajst-19145	188	23	.	.	PUNCT
ajst-19145	188	24	"	"	PUNCT
ajst-19145	189	1	journal	journal	NOUN
ajst-19145	189	2	of	of	ADP
ajst-19145	189	3	theory	theory	NOUN
ajst-19145	189	4	and	and	CCONJ
ajst-19145	189	5	practice	practice	NOUN
ajst-19145	189	6	of	of	ADP
ajst-19145	189	7	engineering	engineer	VERB
ajst-19145	189	8	science	science	NOUN
ajst-19145	189	9	4.02	4.02	NUM
ajst-19145	189	10	(	(	PUNCT
ajst-19145	189	11	2024	2024	NUM
ajst-19145	189	12	):	):	PUNCT
ajst-19145	189	13	31	31	NUM
ajst-19145	189	14	-	-	SYM
ajst-19145	189	15	37	37	NUM
ajst-19145	189	16	.	.	PUNCT
ajst-19145	190	1	[	[	X
ajst-19145	190	2	20	20	NUM
ajst-19145	190	3	]	]	X
ajst-19145	190	4	chen	chen	PROPN
ajst-19145	190	5	,	,	PUNCT
ajst-19145	190	6	j.	j.	PROPN
ajst-19145	190	7	(	(	PUNCT
ajst-19145	190	8	2022	2022	NUM
ajst-19145	190	9	)	)	PUNCT
ajst-19145	190	10	.	.	PUNCT
ajst-19145	191	1	the	the	DET
ajst-19145	191	2	reform	reform	NOUN
ajst-19145	191	3	of	of	ADP
ajst-19145	191	4	school	school	NOUN
ajst-19145	191	5	education	education	NOUN
ajst-19145	191	6	and	and	CCONJ
ajst-19145	191	7	teaching	teaching	NOUN
ajst-19145	191	8	under	under	ADP
ajst-19145	191	9	the	the	DET
ajst-19145	191	10	“	"	PUNCT
ajst-19145	191	11	double	double	ADJ
ajst-19145	191	12	reduction	reduction	NOUN
ajst-19145	191	13	”	"	PUNCT
ajst-19145	191	14	policy	policy	NOUN
ajst-19145	191	15	.	.	PUNCT
ajst-19145	192	1	scientific	scientific	ADJ
ajst-19145	192	2	and	and	CCONJ
ajst-19145	192	3	social	social	ADJ
ajst-19145	192	4	research	research	NOUN
ajst-19145	192	5	,	,	PUNCT
ajst-19145	192	6	4(2	4(2	NUM
ajst-19145	192	7	)	)	PUNCT
ajst-19145	192	8	,	,	PUNCT
ajst-19145	192	9	42	42	NUM
ajst-19145	192	10	-	-	SYM
ajst-19145	192	11	45	45	NUM
ajst-19145	192	12	.	.	PUNCT
ajst-19145	193	1	(	(	PUNCT
ajst-19145	193	2	feb	feb	PROPN
ajst-19145	193	3	2022	2022	NUM
ajst-19145	193	4	)	)	PUNCT
ajst-19145	194	1	[	[	X
ajst-19145	194	2	21	21	NUM
ajst-19145	194	3	]	]	X
ajst-19145	194	4	ji	ji	PROPN
ajst-19145	194	5	,	,	PUNCT
ajst-19145	194	6	huan	huan	PROPN
ajst-19145	194	7	,	,	PUNCT
ajst-19145	194	8	et	et	PROPN
ajst-19145	194	9	al	al	PROPN
ajst-19145	194	10	.	.	PUNCT
ajst-19145	195	1	"	"	PUNCT
ajst-19145	195	2	utilizing	utilize	VERB
ajst-19145	195	3	machine	machine	NOUN
ajst-19145	195	4	learning	learning	NOUN
ajst-19145	195	5	for	for	ADP
ajst-19145	195	6	precise	precise	ADJ
ajst-19145	195	7	audience	audience	NOUN
ajst-19145	195	8	targeting	target	VERB
ajst-19145	195	9	in	in	ADP
ajst-19145	195	10	data	datum	NOUN
ajst-19145	195	11	science	science	NOUN
ajst-19145	195	12	and	and	CCONJ
ajst-19145	195	13	targeted	target	VERB
ajst-19145	195	14	advertising	advertising	NOUN
ajst-19145	195	15	.	.	PUNCT
ajst-19145	195	16	"	"	PUNCT
ajst-19145	196	1	academic	academic	ADJ
ajst-19145	196	2	journal	journal	NOUN
ajst-19145	196	3	of	of	ADP
ajst-19145	196	4	science	science	NOUN
ajst-19145	196	5	and	and	CCONJ
ajst-19145	196	6	technology	technology	NOUN
ajst-19145	196	7	9.2	9.2	NUM
ajst-19145	196	8	(	(	PUNCT
ajst-19145	196	9	2024	2024	NUM
ajst-19145	196	10	):	):	PUNCT
ajst-19145	196	11	215	215	NUM
ajst-19145	196	12	-	-	SYM
ajst-19145	196	13	220	220	NUM
ajst-19145	196	14	.	.	PUNCT
ajst-19145	197	1	[	[	X
ajst-19145	197	2	22	22	NUM
ajst-19145	197	3	]	]	X
ajst-19145	197	4	zhang	zhang	PROPN
ajst-19145	197	5	,	,	PUNCT
ajst-19145	197	6	chenwei	chenwei	PROPN
ajst-19145	197	7	,	,	PUNCT
ajst-19145	197	8	et	et	PROPN
ajst-19145	197	9	al	al	PROPN
ajst-19145	197	10	.	.	PUNCT
ajst-19145	198	1	"	"	PUNCT
ajst-19145	198	2	segnet	segnet	NOUN
ajst-19145	198	3	network	network	NOUN
ajst-19145	198	4	architecture	architecture	NOUN
ajst-19145	198	5	for	for	ADP
ajst-19145	198	6	deep	deep	ADJ
ajst-19145	198	7	learning	learn	VERB
ajst-19145	198	8	image	image	NOUN
ajst-19145	198	9	segmentation	segmentation	NOUN
ajst-19145	198	10	and	and	CCONJ
ajst-19145	198	11	its	its	PRON
ajst-19145	198	12	integrated	integrate	VERB
ajst-19145	198	13	applications	application	NOUN
ajst-19145	198	14	and	and	CCONJ
ajst-19145	198	15	prospects	prospect	NOUN
ajst-19145	198	16	.	.	PUNCT
ajst-19145	198	17	"	"	PUNCT
ajst-19145	199	1	academic	academic	ADJ
ajst-19145	199	2	journal	journal	NOUN
ajst-19145	199	3	of	of	ADP
ajst-19145	199	4	science	science	NOUN
ajst-19145	199	5	and	and	CCONJ
ajst-19145	199	6	technology	technology	NOUN
ajst-19145	199	7	9.2	9.2	NUM
ajst-19145	199	8	(	(	PUNCT
ajst-19145	199	9	2024	2024	NUM
ajst-19145	199	10	):	):	PUNCT
ajst-19145	199	11	224	224	NUM
ajst-19145	199	12	-	-	SYM
ajst-19145	199	13	229	229	NUM
ajst-19145	199	14	.	.	PUNCT
ajst-19145	200	1	[	[	X
ajst-19145	200	2	23	23	NUM
ajst-19145	200	3	]	]	X
ajst-19145	200	4	wang	wang	PROPN
ajst-19145	200	5	,	,	PUNCT
ajst-19145	200	6	yong	yong	PROPN
ajst-19145	200	7	,	,	PUNCT
ajst-19145	200	8	et	et	PROPN
ajst-19145	200	9	al	al	PROPN
ajst-19145	200	10	.	.	PUNCT
ajst-19145	201	1	"	"	PUNCT
ajst-19145	201	2	autonomous	autonomous	ADJ
ajst-19145	201	3	driving	driving	NOUN
ajst-19145	201	4	system	system	NOUN
ajst-19145	201	5	driven	drive	VERB
ajst-19145	201	6	by	by	ADP
ajst-19145	201	7	artificial	artificial	ADJ
ajst-19145	201	8	intelligence	intelligence	NOUN
ajst-19145	201	9	perception	perception	NOUN
ajst-19145	201	10	fusion	fusion	NOUN
ajst-19145	201	11	.	.	PUNCT
ajst-19145	201	12	"	"	PUNCT
ajst-19145	202	1	academic	academic	ADJ
ajst-19145	202	2	journal	journal	NOUN
ajst-19145	202	3	of	of	ADP
ajst-19145	202	4	science	science	NOUN
ajst-19145	202	5	and	and	CCONJ
ajst-19145	202	6	technology	technology	NOUN
ajst-19145	202	7	9.2	9.2	NUM
ajst-19145	202	8	(	(	PUNCT
ajst-19145	202	9	2024	2024	NUM
ajst-19145	202	10	):	):	PUNCT
ajst-19145	202	11	193	193	NUM
ajst-19145	202	12	-	-	SYM
ajst-19145	202	13	198	198	NUM
ajst-19145	202	14	.	.	PUNCT
ajst-19145	203	1	[	[	X
ajst-19145	203	2	24	24	NUM
ajst-19145	203	3	]	]	X
ajst-19145	203	4	zhou	zhou	X
ajst-19145	203	5	,	,	PUNCT
ajst-19145	203	6	y.	y.	PROPN
ajst-19145	203	7	,	,	PUNCT
ajst-19145	203	8	osman	osman	PROPN
ajst-19145	203	9	,	,	PUNCT
ajst-19145	203	10	a.	a.	NOUN
ajst-19145	203	11	,	,	PUNCT
ajst-19145	203	12	willms	willm	NOUN
ajst-19145	203	13	,	,	PUNCT
ajst-19145	203	14	m.	m.	NOUN
ajst-19145	203	15	,	,	PUNCT
ajst-19145	203	16	kunz	kunz	PROPN
ajst-19145	203	17	,	,	PUNCT
ajst-19145	203	18	a.	a.	PROPN
ajst-19145	203	19	,	,	PUNCT
ajst-19145	203	20	philipp	philipp	PROPN
ajst-19145	203	21	,	,	PUNCT
ajst-19145	203	22	s.	s.	PROPN
ajst-19145	203	23	,	,	PUNCT
ajst-19145	203	24	blatt	blatt	PROPN
ajst-19145	203	25	,	,	PUNCT
ajst-19145	203	26	j.	j.	PROPN
ajst-19145	203	27	,	,	PUNCT
ajst-19145	203	28	&	&	CCONJ
ajst-19145	203	29	eul	eul	PROPN
ajst-19145	203	30	,	,	PUNCT
ajst-19145	203	31	s.	s.	PROPN
ajst-19145	203	32	(	(	PUNCT
ajst-19145	203	33	2023	2023	NUM
ajst-19145	203	34	)	)	PUNCT
ajst-19145	203	35	.	.	PUNCT
ajst-19145	204	1	semantic	semantic	ADJ
ajst-19145	204	2	wireframe	wireframe	PROPN
ajst-19145	204	3	detection	detection	NOUN
ajst-19145	204	4	.	.	PUNCT
ajst-19145	205	1	[	[	X
ajst-19145	205	2	25	25	NUM
ajst-19145	205	3	]	]	X
ajst-19145	205	4	zhang	zhang	PROPN
ajst-19145	205	5	,	,	PUNCT
ajst-19145	205	6	y.	y.	PROPN
ajst-19145	205	7	,	,	PUNCT
ajst-19145	205	8	gono	gono	PROPN
ajst-19145	205	9	,	,	PUNCT
ajst-19145	205	10	r.	r.	PROPN
ajst-19145	205	11	,	,	PUNCT
ajst-19145	205	12	&	&	CCONJ
ajst-19145	205	13	jasiński	jasiński	PROPN
ajst-19145	205	14	,	,	PUNCT
ajst-19145	205	15	m.	m.	NOUN
ajst-19145	205	16	(	(	PUNCT
ajst-19145	205	17	2023	2023	NUM
ajst-19145	205	18	)	)	PUNCT
ajst-19145	205	19	.	.	PUNCT
ajst-19145	206	1	an	an	DET
ajst-19145	206	2	improvement	improvement	NOUN
ajst-19145	206	3	in	in	ADP
ajst-19145	206	4	dynamic	dynamic	ADJ
ajst-19145	206	5	behavior	behavior	NOUN
ajst-19145	206	6	of	of	ADP
ajst-19145	206	7	single	single	ADJ
ajst-19145	206	8	phase	phase	NOUN
ajst-19145	206	9	pm	pm	NOUN
ajst-19145	206	10	brushless	brushless	NOUN
ajst-19145	206	11	dc	dc	PROPN
ajst-19145	206	12	motor	motor	NOUN
ajst-19145	206	13	using	use	VERB
ajst-19145	206	14	deep	deep	ADJ
ajst-19145	206	15	neural	neural	ADJ
ajst-19145	206	16	network	network	NOUN
ajst-19145	206	17	and	and	CCONJ
ajst-19145	206	18	mixture	mixture	NOUN
ajst-19145	206	19	of	of	ADP
ajst-19145	206	20	experts	expert	NOUN
ajst-19145	206	21	.	.	PUNCT
ajst-19145	207	1	ieee	ieee	NOUN
ajst-19145	207	2	access	access	NOUN
ajst-19145	207	3	.	.	PUNCT
ajst-19145	208	1	[	[	X
ajst-19145	208	2	26	26	NUM
ajst-19145	208	3	]	]	X
ajst-19145	208	4	qian	qian	PROPN
ajst-19145	208	5	,	,	PUNCT
ajst-19145	208	6	wenpin	wenpin	PROPN
ajst-19145	208	7	,	,	PUNCT
ajst-19145	208	8	et	et	PROPN
ajst-19145	208	9	al	al	PROPN
ajst-19145	208	10	.	.	PUNCT
ajst-19145	209	1	"	"	PUNCT
ajst-19145	209	2	clinical	clinical	ADJ
ajst-19145	209	3	medical	medical	ADJ
ajst-19145	209	4	detection	detection	NOUN
ajst-19145	209	5	and	and	CCONJ
ajst-19145	209	6	diagnosis	diagnosis	NOUN
ajst-19145	209	7	technology	technology	NOUN
ajst-19145	209	8	based	base	VERB
ajst-19145	209	9	on	on	ADP
ajst-19145	209	10	the	the	DET
ajst-19145	209	11	alexnet	alexnet	ADJ
ajst-19145	209	12	network	network	NOUN
ajst-19145	209	13	model	model	NOUN
ajst-19145	209	14	.	.	PUNCT
ajst-19145	209	15	"	"	PUNCT
ajst-19145	210	1	academic	academic	ADJ
ajst-19145	210	2	journal	journal	NOUN
ajst-19145	210	3	of	of	ADP
ajst-19145	210	4	science	science	NOUN
ajst-19145	210	5	and	and	CCONJ
ajst-19145	210	6	technology	technology	NOUN
ajst-19145	210	7	9.2	9.2	NUM
ajst-19145	210	8	(	(	PUNCT
ajst-19145	210	9	2024	2024	NUM
ajst-19145	210	10	):	):	PUNCT
ajst-19145	210	11	207	207	NUM
ajst-19145	210	12	-	-	SYM
ajst-19145	210	13	211	211	NUM
ajst-19145	210	14	.	.	PUNCT
ajst-19145	210	15	'	'	PUNCT
ajst-19145	211	1	[	[	X
ajst-19145	211	2	27	27	NUM
ajst-19145	211	3	]	]	X
ajst-19145	211	4	zhang	zhang	PROPN
ajst-19145	211	5	,	,	PUNCT
ajst-19145	211	6	quan	quan	PROPN
ajst-19145	211	7	,	,	PUNCT
ajst-19145	211	8	et	et	PROPN
ajst-19145	211	9	al	al	PROPN
ajst-19145	211	10	.	.	PUNCT
ajst-19145	212	1	"	"	PUNCT
ajst-19145	212	2	application	application	NOUN
ajst-19145	212	3	of	of	ADP
ajst-19145	212	4	the	the	DET
ajst-19145	212	5	alphafold2	alphafold2	ADJ
ajst-19145	212	6	protein	protein	NOUN
ajst-19145	212	7	prediction	prediction	NOUN
ajst-19145	212	8	algorithm	algorithm	NOUN
ajst-19145	212	9	based	base	VERB
ajst-19145	212	10	on	on	ADP
ajst-19145	212	11	artificial	artificial	ADJ
ajst-19145	212	12	intelligence	intelligence	NOUN
ajst-19145	212	13	.	.	PUNCT
ajst-19145	212	14	"	"	PUNCT
ajst-19145	213	1	journal	journal	NOUN
ajst-19145	213	2	of	of	ADP
ajst-19145	213	3	theory	theory	NOUN
ajst-19145	213	4	and	and	CCONJ
ajst-19145	213	5	practice	practice	NOUN
ajst-19145	213	6	of	of	ADP
ajst-19145	213	7	engineering	engineer	VERB
ajst-19145	213	8	science	science	NOUN
ajst-19145	213	9	4.02	4.02	NUM
ajst-19145	213	10	(	(	PUNCT
ajst-19145	213	11	2024	2024	NUM
ajst-19145	213	12	):	):	PUNCT
ajst-19145	213	13	5865	5865	NUM
ajst-19145	213	14	.	.	PUNCT
ajst-19145	214	1	55	55	NUM
ajst-19145	215	1	[	[	SYM
ajst-19145	215	2	28	28	NUM
ajst-19145	215	3	]	]	X
ajst-19145	215	4	wang	wang	PROPN
ajst-19145	215	5	,	,	PUNCT
ajst-19145	215	6	h.	h.	PROPN
ajst-19145	215	7	,	,	PUNCT
ajst-19145	215	8	bao	bao	PROPN
ajst-19145	215	9	,	,	PUNCT
ajst-19145	215	10	q.	q.	PROPN
ajst-19145	215	11	,	,	PUNCT
ajst-19145	215	12	shui	shui	PROPN
ajst-19145	215	13	,	,	PUNCT
ajst-19145	215	14	z.	z.	PROPN
ajst-19145	215	15	,	,	PUNCT
ajst-19145	215	16	li	li	PROPN
ajst-19145	215	17	,	,	PUNCT
ajst-19145	215	18	l.	l.	PROPN
ajst-19145	215	19	,	,	PUNCT
ajst-19145	215	20	&	&	CCONJ
ajst-19145	215	21	ji	ji	PROPN
ajst-19145	215	22	,	,	PUNCT
ajst-19145	215	23	h.	h.	PROPN
ajst-19145	215	24	(	(	PUNCT
ajst-19145	215	25	2024	2024	NUM
ajst-19145	215	26	)	)	PUNCT
ajst-19145	215	27	.	.	PUNCT
ajst-19145	216	1	a	a	DET
ajst-19145	216	2	novel	novel	ADJ
ajst-19145	216	3	approach	approach	NOUN
ajst-19145	216	4	to	to	ADP
ajst-19145	216	5	credit	credit	NOUN
ajst-19145	216	6	card	card	NOUN
ajst-19145	216	7	security	security	NOUN
ajst-19145	216	8	with	with	ADP
ajst-19145	216	9	generative	generative	ADJ
ajst-19145	216	10	adversarial	adversarial	ADJ
ajst-19145	216	11	networks	network	NOUN
ajst-19145	216	12	and	and	CCONJ
ajst-19145	216	13	security	security	NOUN
ajst-19145	216	14	assessment	assessment	NOUN
ajst-19145	216	15	.	.	PUNCT
ajst-19145	217	1	[	[	X
ajst-19145	217	2	29	29	NUM
ajst-19145	217	3	]	]	SYM
ajst-19145	217	4	wu	wu	PROPN
ajst-19145	217	5	,	,	PUNCT
ajst-19145	217	6	jiang	jiang	PROPN
ajst-19145	217	7	,	,	PUNCT
ajst-19145	217	8	et	et	PROPN
ajst-19145	217	9	al	al	PROPN
ajst-19145	217	10	.	.	PUNCT
ajst-19145	218	1	"	"	PUNCT
ajst-19145	218	2	case	case	NOUN
ajst-19145	218	3	study	study	NOUN
ajst-19145	218	4	of	of	ADP
ajst-19145	218	5	next	next	ADJ
ajst-19145	218	6	-	-	PUNCT
ajst-19145	218	7	generation	generation	NOUN
ajst-19145	218	8	artificial	artificial	ADJ
ajst-19145	218	9	intelligence	intelligence	NOUN
ajst-19145	218	10	in	in	ADP
ajst-19145	218	11	medical	medical	ADJ
ajst-19145	218	12	image	image	NOUN
ajst-19145	218	13	diagnosis	diagnosis	NOUN
ajst-19145	218	14	based	base	VERB
ajst-19145	218	15	on	on	ADP
ajst-19145	218	16	cloud	cloud	NOUN
ajst-19145	218	17	computing	computing	NOUN
ajst-19145	218	18	.	.	PUNCT
ajst-19145	218	19	"	"	PUNCT
ajst-19145	219	1	journal	journal	NOUN
ajst-19145	219	2	of	of	ADP
ajst-19145	219	3	theory	theory	NOUN
ajst-19145	219	4	and	and	CCONJ
ajst-19145	219	5	practice	practice	NOUN
ajst-19145	219	6	of	of	ADP
ajst-19145	219	7	engineering	engineer	VERB
ajst-19145	219	8	science	science	NOUN
ajst-19145	219	9	4.02	4.02	NUM
ajst-19145	219	10	(	(	PUNCT
ajst-19145	219	11	2024	2024	NUM
ajst-19145	219	12	):	):	PUNCT
ajst-19145	219	13	66	66	NUM
ajst-19145	219	14	-	-	SYM
ajst-19145	219	15	73	73	NUM
ajst-19145	219	16	.	.	PUNCT
ajst-19145	220	1	[	[	X
ajst-19145	220	2	30	30	NUM
ajst-19145	220	3	]	]	X
ajst-19145	220	4	zhu	zhu	PROPN
ajst-19145	220	5	,	,	PUNCT
ajst-19145	220	6	mingwei	mingwei	PROPN
ajst-19145	220	7	,	,	PUNCT
ajst-19145	220	8	et	et	PROPN
ajst-19145	220	9	al	al	PROPN
ajst-19145	220	10	.	.	PUNCT
ajst-19145	221	1	"	"	PUNCT
ajst-19145	221	2	enhancing	enhance	VERB
ajst-19145	221	3	collaborative	collaborative	ADJ
ajst-19145	221	4	machine	machine	NOUN
ajst-19145	221	5	learning	learn	VERB
ajst-19145	221	6	for	for	ADP
ajst-19145	221	7	security	security	NOUN
ajst-19145	221	8	and	and	CCONJ
ajst-19145	221	9	privacy	privacy	NOUN
ajst-19145	221	10	in	in	ADP
ajst-19145	221	11	federated	federated	ADJ
ajst-19145	221	12	learning	learning	NOUN
ajst-19145	221	13	.	.	PUNCT
ajst-19145	221	14	"	"	PUNCT
ajst-19145	222	1	journal	journal	NOUN
ajst-19145	222	2	of	of	ADP
ajst-19145	222	3	theory	theory	NOUN
ajst-19145	222	4	and	and	CCONJ
ajst-19145	222	5	practice	practice	NOUN
ajst-19145	222	6	of	of	ADP
ajst-19145	222	7	engineering	engineer	VERB
ajst-19145	222	8	science	science	NOUN
ajst-19145	222	9	4.02	4.02	NUM
ajst-19145	222	10	(	(	PUNCT
ajst-19145	222	11	2024	2024	NUM
ajst-19145	222	12	):	):	PUNCT
ajst-19145	222	13	74	74	NUM
ajst-19145	222	14	-	-	SYM
ajst-19145	222	15	82	82	NUM
ajst-19145	222	16	.	.	PUNCT
ajst-19145	223	1	[	[	X
ajst-19145	223	2	31	31	NUM
ajst-19145	223	3	]	]	X
ajst-19145	223	4	zhang	zhang	PROPN
ajst-19145	223	5	,	,	PUNCT
ajst-19145	223	6	y.	y.	PROPN
ajst-19145	223	7	,	,	PUNCT
ajst-19145	223	8	abdullah	abdullah	PROPN
ajst-19145	223	9	,	,	PUNCT
ajst-19145	223	10	s.	s.	PROPN
ajst-19145	223	11	,	,	PUNCT
ajst-19145	223	12	ullah	ullah	PROPN
ajst-19145	223	13	,	,	PUNCT
ajst-19145	223	14	i.	i.	PROPN
ajst-19145	223	15	,	,	PUNCT
ajst-19145	223	16	&	&	CCONJ
ajst-19145	223	17	ghani	ghani	PROPN
ajst-19145	223	18	,	,	PUNCT
ajst-19145	223	19	f.	f.	PROPN
ajst-19145	223	20	(	(	PUNCT
ajst-19145	223	21	2024	2024	NUM
ajst-19145	223	22	)	)	PUNCT
ajst-19145	223	23	.	.	PUNCT
ajst-19145	224	1	a	a	DET
ajst-19145	224	2	new	new	ADJ
ajst-19145	224	3	approach	approach	NOUN
ajst-19145	224	4	to	to	ADP
ajst-19145	224	5	neural	neural	ADJ
ajst-19145	224	6	network	network	NOUN
ajst-19145	224	7	via	via	ADP
ajst-19145	224	8	double	double	ADJ
ajst-19145	224	9	hierarchy	hierarchy	NOUN
ajst-19145	224	10	linguistic	linguistic	ADJ
ajst-19145	224	11	information	information	NOUN
ajst-19145	224	12	:	:	PUNCT
ajst-19145	224	13	application	application	NOUN
ajst-19145	224	14	in	in	ADP
ajst-19145	224	15	robot	robot	NOUN
ajst-19145	224	16	selection	selection	NOUN
ajst-19145	224	17	.	.	PUNCT
ajst-19145	225	1	engineering	engineering	NOUN
ajst-19145	225	2	applications	application	NOUN
ajst-19145	225	3	of	of	ADP
ajst-19145	225	4	artificial	artificial	ADJ
ajst-19145	225	5	intelligence	intelligence	NOUN
ajst-19145	225	6	,	,	PUNCT
ajst-19145	225	7	129	129	NUM
ajst-19145	225	8	,	,	PUNCT
ajst-19145	225	9	107581	107581	NUM
ajst-19145	225	10	.	.	PUNCT
ajst-19145	226	1	[	[	X
ajst-19145	226	2	32	32	NUM
ajst-19145	226	3	]	]	SYM
ajst-19145	226	4	yang	yang	PROPN
ajst-19145	226	5	,	,	PUNCT
ajst-19145	226	6	le	le	X
ajst-19145	226	7	,	,	PUNCT
ajst-19145	226	8	et	et	PROPN
ajst-19145	226	9	al	al	PROPN
ajst-19145	226	10	.	.	PUNCT
ajst-19145	227	1	"	"	PUNCT
ajst-19145	227	2	research	research	NOUN
ajst-19145	227	3	and	and	CCONJ
ajst-19145	227	4	application	application	NOUN
ajst-19145	227	5	of	of	ADP
ajst-19145	227	6	visual	visual	ADJ
ajst-19145	227	7	object	object	NOUN
ajst-19145	227	8	recognition	recognition	NOUN
ajst-19145	227	9	system	system	NOUN
ajst-19145	227	10	based	base	VERB
ajst-19145	227	11	on	on	ADP
ajst-19145	227	12	deep	deep	ADJ
ajst-19145	227	13	learning	learning	NOUN
ajst-19145	227	14	and	and	CCONJ
ajst-19145	227	15	neural	neural	ADJ
ajst-19145	227	16	morphological	morphological	ADJ
ajst-19145	227	17	computation	computation	NOUN
ajst-19145	227	18	.	.	PUNCT
ajst-19145	227	19	"	"	PUNCT
ajst-19145	228	1	international	international	ADJ
ajst-19145	228	2	journal	journal	NOUN
ajst-19145	228	3	of	of	ADP
ajst-19145	228	4	computer	computer	NOUN
ajst-19145	228	5	science	science	NOUN
ajst-19145	228	6	and	and	CCONJ
ajst-19145	228	7	information	information	NOUN
ajst-19145	228	8	technology	technology	NOUN
ajst-19145	228	9	2.1	2.1	NUM
ajst-19145	228	10	(	(	PUNCT
ajst-19145	228	11	2024	2024	NUM
ajst-19145	228	12	):	):	PUNCT
ajst-19145	228	13	1017	1017	NUM
ajst-19145	228	14	.	.	PUNCT
ajst-19145	229	1	[	[	X
ajst-19145	229	2	33	33	NUM
ajst-19145	229	3	]	]	X
ajst-19145	229	4	qian	qian	PROPN
ajst-19145	229	5	,	,	PUNCT
ajst-19145	229	6	jili	jili	PROPN
ajst-19145	229	7	,	,	PUNCT
ajst-19145	229	8	et	et	PROPN
ajst-19145	229	9	al	al	PROPN
ajst-19145	229	10	.	.	PUNCT
ajst-19145	230	1	"	"	PUNCT
ajst-19145	230	2	a	a	DET
ajst-19145	230	3	liver	liver	NOUN
ajst-19145	230	4	cancer	cancer	NOUN
ajst-19145	230	5	question	question	NOUN
ajst-19145	230	6	-	-	PUNCT
ajst-19145	230	7	answering	answer	VERB
ajst-19145	230	8	system	system	NOUN
ajst-19145	230	9	based	base	VERB
ajst-19145	230	10	on	on	ADP
ajst-19145	230	11	next	next	ADJ
ajst-19145	230	12	-	-	PUNCT
ajst-19145	230	13	generation	generation	NOUN
ajst-19145	230	14	intelligence	intelligence	NOUN
ajst-19145	230	15	and	and	CCONJ
ajst-19145	230	16	the	the	DET
ajst-19145	230	17	large	large	ADJ
ajst-19145	230	18	model	model	NOUN
ajst-19145	230	19	med	me	VERB
ajst-19145	230	20	-	-	PUNCT
ajst-19145	230	21	palm	palm	NOUN
ajst-19145	230	22	2	2	NUM
ajst-19145	230	23	.	.	PUNCT
ajst-19145	230	24	"	"	PUNCT
ajst-19145	230	25	international	international	ADJ
ajst-19145	230	26	journal	journal	NOUN
ajst-19145	230	27	of	of	ADP
ajst-19145	230	28	computer	computer	NOUN
ajst-19145	230	29	science	science	NOUN
ajst-19145	230	30	and	and	CCONJ
ajst-19145	230	31	information	information	NOUN
ajst-19145	230	32	technology	technology	NOUN
ajst-19145	230	33	2.1	2.1	NUM
ajst-19145	230	34	(	(	PUNCT
ajst-19145	230	35	2024	2024	NUM
ajst-19145	230	36	):	):	PUNCT
ajst-19145	230	37	28	28	NUM
ajst-19145	230	38	-	-	SYM
ajst-19145	230	39	35	35	NUM
ajst-19145	230	40	.	.	PUNCT
ajst-19145	231	1	[	[	X
ajst-19145	231	2	34	34	NUM
ajst-19145	231	3	]	]	X
ajst-19145	231	4	bao	bao	PROPN
ajst-19145	231	5	,	,	PUNCT
ajst-19145	231	6	qiaozhi	qiaozhi	PROPN
ajst-19145	231	7	,	,	PUNCT
ajst-19145	231	8	et	et	PROPN
ajst-19145	231	9	al	al	PROPN
ajst-19145	231	10	.	.	PUNCT
ajst-19145	231	11	"	"	PUNCT
ajst-19145	231	12	exploring	explore	VERB
ajst-19145	231	13	icu	icu	PROPN
ajst-19145	231	14	mortality	mortality	NOUN
ajst-19145	231	15	risk	risk	NOUN
ajst-19145	231	16	prediction	prediction	NOUN
ajst-19145	231	17	and	and	CCONJ
ajst-19145	231	18	interpretability	interpretability	NOUN
ajst-19145	231	19	analysis	analysis	NOUN
ajst-19145	231	20	using	use	VERB
ajst-19145	231	21	machine	machine	NOUN
ajst-19145	231	22	learning	learning	NOUN
ajst-19145	231	23	.	.	PUNCT
ajst-19145	231	24	"	"	PUNCT
ajst-19145	232	1	(	(	PUNCT
ajst-19145	232	2	2024	2024	NUM
ajst-19145	232	3	)	)	PUNCT
ajst-19145	232	4	.	.	PUNCT
ajst-19145	233	1	[	[	X
ajst-19145	233	2	35	35	NUM
ajst-19145	233	3	]	]	PUNCT
ajst-19145	233	4	k.	k.	PROPN
ajst-19145	233	5	xu	xu	PROPN
ajst-19145	233	6	,	,	PUNCT
ajst-19145	233	7	x.	x.	PROPN
ajst-19145	233	8	wang	wang	PROPN
ajst-19145	233	9	,	,	PUNCT
ajst-19145	233	10	z.	z.	PROPN
ajst-19145	233	11	hu	hu	PROPN
ajst-19145	233	12	and	and	CCONJ
ajst-19145	233	13	z.	z.	PROPN
ajst-19145	233	14	zhang	zhang	PROPN
ajst-19145	233	15	,	,	PUNCT
ajst-19145	233	16	"	"	PUNCT
ajst-19145	233	17	3d	3d	NUM
ajst-19145	233	18	face	face	NOUN
ajst-19145	233	19	recognition	recognition	NOUN
ajst-19145	233	20	based	base	VERB
ajst-19145	233	21	on	on	ADP
ajst-19145	233	22	twin	twin	ADJ
ajst-19145	233	23	neural	neural	ADJ
ajst-19145	233	24	network	network	NOUN
ajst-19145	233	25	combining	combine	VERB
ajst-19145	233	26	deep	deep	ADJ
ajst-19145	233	27	map	map	NOUN
ajst-19145	233	28	and	and	CCONJ
ajst-19145	233	29	texture	texture	NOUN
ajst-19145	233	30	,	,	PUNCT
ajst-19145	233	31	"	"	PUNCT
ajst-19145	233	32	2019	2019	NUM
ajst-19145	233	33	ieee	ieee	NOUN
ajst-19145	233	34	19th	19th	ADJ
ajst-19145	233	35	international	international	ADJ
ajst-19145	233	36	conference	conference	NOUN
ajst-19145	233	37	on	on	ADP
ajst-19145	233	38	communication	communication	NOUN
ajst-19145	233	39	technology	technology	NOUN
ajst-19145	233	40	(	(	PUNCT
ajst-19145	233	41	icct	icct	NOUN
ajst-19145	233	42	)	)	PUNCT
ajst-19145	233	43	,	,	PUNCT
ajst-19145	233	44	xi'an	xi'an	PROPN
ajst-19145	233	45	,	,	PUNCT
ajst-19145	233	46	china	china	PROPN
ajst-19145	233	47	,	,	PUNCT
ajst-19145	233	48	2019	2019	NUM
ajst-19145	233	49	,	,	PUNCT
ajst-19145	233	50	pp	pp	ADJ
ajst-19145	233	51	.	.	PUNCT
ajst-19145	234	1	1665	1665	NUM
ajst-19145	234	2	-	-	SYM
ajst-19145	234	3	1668	1668	NUM
ajst-19145	234	4	,	,	PUNCT
ajst-19145	234	5	doi	doi	NOUN
ajst-19145	234	6	:	:	PUNCT
ajst-19145	234	7	10.1109	10.1109	NUM
ajst-19145	234	8	/	/	SYM
ajst-19145	234	9	icct46805.2019.8947113	icct46805.2019.8947113	PROPN
ajst-19145	234	10	.	.	PUNCT