id	sid	tid	token	lemma	pos
fcis-19577	1	1	frontiers	frontier	NOUN
fcis-19577	1	2	in	in	ADP
fcis-19577	1	3	computing	computing	NOUN
fcis-19577	1	4	and	and	CCONJ
fcis-19577	1	5	intelligent	intelligent	ADJ
fcis-19577	1	6	systems	system	NOUN
fcis-19577	1	7	issn	issn	VERB
fcis-19577	1	8	:	:	PUNCT
fcis-19577	1	9	2832	2832	NUM
fcis-19577	1	10	-	-	SYM
fcis-19577	1	11	6024	6024	NUM
fcis-19577	1	12	|	|	NOUN
fcis-19577	1	13	vol	vol	NOUN
fcis-19577	1	14	.	.	PROPN
fcis-19577	2	1	7	7	NUM
fcis-19577	2	2	,	,	PUNCT
fcis-19577	2	3	no	no	INTJ
fcis-19577	2	4	.	.	NOUN
fcis-19577	2	5	3	3	NUM
fcis-19577	2	6	,	,	PUNCT
fcis-19577	2	7	2024	2024	NUM
fcis-19577	2	8	61	61	NUM
fcis-19577	2	9	intelligent	intelligent	ADJ
fcis-19577	2	10	monitoring	monitoring	NOUN
fcis-19577	2	11	system	system	NOUN
fcis-19577	2	12	for	for	ADP
fcis-19577	2	13	the	the	DET
fcis-19577	2	14	elderly	elderly	ADJ
fcis-19577	2	15	based	base	VERB
fcis-19577	2	16	on	on	ADP
fcis-19577	2	17	posture	posture	NOUN
fcis-19577	2	18	recognition	recognition	NOUN
fcis-19577	2	19	jinxiang	jinxiang	PROPN
fcis-19577	2	20	li	li	PROPN
fcis-19577	2	21	,	,	PUNCT
fcis-19577	2	22	huateng	huateng	PROPN
fcis-19577	2	23	liu	liu	PROPN
fcis-19577	2	24	and	and	CCONJ
fcis-19577	2	25	gonghao	gonghao	PROPN
fcis-19577	2	26	nie	nie	PROPN
fcis-19577	2	27	north	north	PROPN
fcis-19577	2	28	china	china	PROPN
fcis-19577	2	29	university	university	PROPN
fcis-19577	2	30	of	of	ADP
fcis-19577	2	31	science	science	NOUN
fcis-19577	2	32	and	and	CCONJ
fcis-19577	2	33	technology	technology	NOUN
fcis-19577	2	34	,	,	PUNCT
fcis-19577	2	35	tangshan	tangshan	PROPN
fcis-19577	2	36	hebei	hebei	PROPN
fcis-19577	2	37	,	,	PUNCT
fcis-19577	2	38	063210	063210	NUM
fcis-19577	2	39	,	,	PUNCT
fcis-19577	2	40	china	china	PROPN
fcis-19577	2	41	abstract	abstract	PROPN
fcis-19577	2	42	:	:	PUNCT
fcis-19577	2	43	in	in	ADP
fcis-19577	2	44	recent	recent	ADJ
fcis-19577	2	45	years	year	NOUN
fcis-19577	2	46	,	,	PUNCT
fcis-19577	2	47	due	due	ADP
fcis-19577	2	48	to	to	ADP
fcis-19577	2	49	the	the	DET
fcis-19577	2	50	gradual	gradual	ADJ
fcis-19577	2	51	increase	increase	NOUN
fcis-19577	2	52	in	in	ADP
fcis-19577	2	53	the	the	DET
fcis-19577	2	54	elderly	elderly	ADJ
fcis-19577	2	55	population	population	NOUN
fcis-19577	2	56	,	,	PUNCT
fcis-19577	2	57	elderly	elderly	ADJ
fcis-19577	2	58	care	care	NOUN
fcis-19577	2	59	has	have	AUX
fcis-19577	2	60	become	become	VERB
fcis-19577	2	61	an	an	DET
fcis-19577	2	62	increasingly	increasingly	ADV
fcis-19577	2	63	urgent	urgent	ADJ
fcis-19577	2	64	issue	issue	NOUN
fcis-19577	2	65	,	,	PUNCT
fcis-19577	2	66	and	and	CCONJ
fcis-19577	2	67	the	the	DET
fcis-19577	2	68	most	most	ADV
fcis-19577	2	69	common	common	ADJ
fcis-19577	2	70	risk	risk	NOUN
fcis-19577	2	71	faced	face	VERB
fcis-19577	2	72	by	by	ADP
fcis-19577	2	73	the	the	DET
fcis-19577	2	74	elderly	elderly	ADJ
fcis-19577	2	75	is	be	AUX
fcis-19577	2	76	accidental	accidental	ADJ
fcis-19577	2	77	falls	fall	NOUN
fcis-19577	2	78	.	.	PUNCT
fcis-19577	3	1	in	in	ADP
fcis-19577	3	2	this	this	DET
fcis-19577	3	3	paper	paper	NOUN
fcis-19577	3	4	,	,	PUNCT
fcis-19577	3	5	an	an	DET
fcis-19577	3	6	intelligent	intelligent	ADJ
fcis-19577	3	7	monitoring	monitoring	NOUN
fcis-19577	3	8	system	system	NOUN
fcis-19577	3	9	for	for	ADP
fcis-19577	3	10	the	the	DET
fcis-19577	3	11	elderly	elderly	ADJ
fcis-19577	3	12	is	be	AUX
fcis-19577	3	13	studied	study	VERB
fcis-19577	3	14	,	,	PUNCT
fcis-19577	3	15	which	which	PRON
fcis-19577	3	16	includes	include	VERB
fcis-19577	3	17	a	a	DET
fcis-19577	3	18	communication	communication	NOUN
fcis-19577	3	19	module	module	NOUN
fcis-19577	3	20	,	,	PUNCT
fcis-19577	3	21	a	a	DET
fcis-19577	3	22	sensor	sensor	NOUN
fcis-19577	3	23	module	module	NOUN
fcis-19577	3	24	and	and	CCONJ
fcis-19577	3	25	a	a	DET
fcis-19577	3	26	state	state	NOUN
fcis-19577	3	27	detection	detection	NOUN
fcis-19577	3	28	module	module	NOUN
fcis-19577	3	29	.	.	PUNCT
fcis-19577	4	1	it	it	PRON
fcis-19577	4	2	can	can	AUX
fcis-19577	4	3	monitor	monitor	VERB
fcis-19577	4	4	the	the	DET
fcis-19577	4	5	status	status	NOUN
fcis-19577	4	6	of	of	ADP
fcis-19577	4	7	the	the	DET
fcis-19577	4	8	elderly	elderly	ADJ
fcis-19577	4	9	in	in	ADP
fcis-19577	4	10	real	real	ADJ
fcis-19577	4	11	time	time	NOUN
fcis-19577	4	12	and	and	CCONJ
fcis-19577	4	13	feed	feed	VERB
fcis-19577	4	14	back	back	ADV
fcis-19577	4	15	to	to	ADP
fcis-19577	4	16	the	the	DET
fcis-19577	4	17	server	server	NOUN
fcis-19577	4	18	to	to	PART
fcis-19577	4	19	activate	activate	VERB
fcis-19577	4	20	the	the	DET
fcis-19577	4	21	buzzer	buzzer	NOUN
fcis-19577	4	22	alarm	alarm	NOUN
fcis-19577	4	23	function	function	NOUN
fcis-19577	4	24	.	.	PUNCT
fcis-19577	5	1	in	in	ADP
fcis-19577	5	2	the	the	DET
fcis-19577	5	3	communication	communication	NOUN
fcis-19577	5	4	module	module	NOUN
fcis-19577	5	5	,	,	PUNCT
fcis-19577	5	6	wi	wi	PROPN
fcis-19577	5	7	-	-	PUNCT
fcis-19577	5	8	fi	fi	NOUN
fcis-19577	5	9	communication	communication	NOUN
fcis-19577	5	10	between	between	ADP
fcis-19577	5	11	esp32	esp32	ADV
fcis-19577	5	12	microcontroller	microcontroller	NOUN
fcis-19577	5	13	and	and	CCONJ
fcis-19577	5	14	pc	pc	NOUN
fcis-19577	5	15	is	be	AUX
fcis-19577	5	16	established	establish	VERB
fcis-19577	5	17	to	to	PART
fcis-19577	5	18	realize	realize	VERB
fcis-19577	5	19	real	real	ADJ
fcis-19577	5	20	-	-	PUNCT
fcis-19577	5	21	time	time	NOUN
fcis-19577	5	22	transmission	transmission	NOUN
fcis-19577	5	23	of	of	ADP
fcis-19577	5	24	pressure	pressure	NOUN
fcis-19577	5	25	sensor	sensor	NOUN
fcis-19577	5	26	data	datum	NOUN
fcis-19577	5	27	.	.	PUNCT
fcis-19577	6	1	the	the	DET
fcis-19577	6	2	c	c	PROPN
fcis-19577	6	3	/	/	SYM
fcis-19577	6	4	s	s	PART
fcis-19577	6	5	communication	communication	NOUN
fcis-19577	6	6	method	method	NOUN
fcis-19577	6	7	between	between	ADP
fcis-19577	6	8	raspberry	raspberry	NOUN
fcis-19577	6	9	pi	pi	NOUN
fcis-19577	6	10	and	and	CCONJ
fcis-19577	6	11	pc	pc	NOUN
fcis-19577	6	12	was	be	AUX
fcis-19577	6	13	established	establish	VERB
fcis-19577	6	14	to	to	PART
fcis-19577	6	15	realize	realize	VERB
fcis-19577	6	16	the	the	DET
fcis-19577	6	17	transmission	transmission	NOUN
fcis-19577	6	18	of	of	ADP
fcis-19577	6	19	real	real	ADJ
fcis-19577	6	20	-	-	PUNCT
fcis-19577	6	21	time	time	NOUN
fcis-19577	6	22	video	video	NOUN
fcis-19577	6	23	data	datum	NOUN
fcis-19577	6	24	.	.	PUNCT
fcis-19577	7	1	in	in	ADP
fcis-19577	7	2	the	the	DET
fcis-19577	7	3	sensor	sensor	NOUN
fcis-19577	7	4	module	module	NOUN
fcis-19577	7	5	,	,	PUNCT
fcis-19577	7	6	the	the	DET
fcis-19577	7	7	pressure	pressure	NOUN
fcis-19577	7	8	sensor	sensor	NOUN
fcis-19577	7	9	is	be	AUX
fcis-19577	7	10	used	use	VERB
fcis-19577	7	11	for	for	ADP
fcis-19577	7	12	data	data	NOUN
fcis-19577	7	13	acquisition	acquisition	NOUN
fcis-19577	7	14	,	,	PUNCT
fcis-19577	7	15	and	and	CCONJ
fcis-19577	7	16	the	the	DET
fcis-19577	7	17	rf	rf	ADJ
fcis-19577	7	18	algorithm	algorithm	NOUN
fcis-19577	7	19	is	be	AUX
fcis-19577	7	20	used	use	VERB
fcis-19577	7	21	to	to	PART
fcis-19577	7	22	realize	realize	VERB
fcis-19577	7	23	the	the	DET
fcis-19577	7	24	binary	binary	ADJ
fcis-19577	7	25	classification	classification	NOUN
fcis-19577	7	26	prediction	prediction	NOUN
fcis-19577	7	27	of	of	ADP
fcis-19577	7	28	whether	whether	SCONJ
fcis-19577	7	29	the	the	DET
fcis-19577	7	30	human	human	ADJ
fcis-19577	7	31	body	body	NOUN
fcis-19577	7	32	is	be	AUX
fcis-19577	7	33	in	in	ADP
fcis-19577	7	34	bed	bed	NOUN
fcis-19577	7	35	or	or	CCONJ
fcis-19577	7	36	out	out	ADP
fcis-19577	7	37	of	of	ADP
fcis-19577	7	38	bed	bed	NOUN
fcis-19577	7	39	.	.	PUNCT
fcis-19577	8	1	in	in	ADP
fcis-19577	8	2	the	the	DET
fcis-19577	8	3	state	state	NOUN
fcis-19577	8	4	detection	detection	NOUN
fcis-19577	8	5	module	module	NOUN
fcis-19577	8	6	,	,	PUNCT
fcis-19577	8	7	the	the	DET
fcis-19577	8	8	yolov8	yolov8	NOUN
fcis-19577	8	9	algorithm	algorithm	PROPN
fcis-19577	8	10	combined	combine	VERB
fcis-19577	8	11	with	with	ADP
fcis-19577	8	12	the	the	DET
fcis-19577	8	13	gsrf	gsrf	PROPN
fcis-19577	8	14	algorithm	algorithm	NOUN
fcis-19577	8	15	is	be	AUX
fcis-19577	8	16	used	use	VERB
fcis-19577	8	17	to	to	PART
fcis-19577	8	18	classify	classify	VERB
fcis-19577	8	19	the	the	DET
fcis-19577	8	20	image	image	NOUN
fcis-19577	8	21	data	datum	NOUN
fcis-19577	8	22	into	into	ADP
fcis-19577	8	23	five	five	NUM
fcis-19577	8	24	action	action	NOUN
fcis-19577	8	25	categories	category	NOUN
fcis-19577	8	26	,	,	PUNCT
fcis-19577	8	27	namely	namely	ADV
fcis-19577	8	28	,	,	PUNCT
fcis-19577	8	29	falling	fall	VERB
fcis-19577	8	30	,	,	PUNCT
fcis-19577	8	31	waving	wave	VERB
fcis-19577	8	32	,	,	PUNCT
fcis-19577	8	33	sitting	sit	VERB
fcis-19577	8	34	,	,	PUNCT
fcis-19577	8	35	standing	standing	NOUN
fcis-19577	8	36	and	and	CCONJ
fcis-19577	8	37	walking	walk	VERB
fcis-19577	8	38	,	,	PUNCT
fcis-19577	8	39	to	to	PART
fcis-19577	8	40	predict	predict	VERB
fcis-19577	8	41	the	the	DET
fcis-19577	8	42	state	state	NOUN
fcis-19577	8	43	of	of	ADP
fcis-19577	8	44	the	the	DET
fcis-19577	8	45	human	human	ADJ
fcis-19577	8	46	body	body	NOUN
fcis-19577	8	47	in	in	ADP
fcis-19577	8	48	the	the	DET
fcis-19577	8	49	real	real	ADJ
fcis-19577	8	50	-	-	PUNCT
fcis-19577	8	51	time	time	NOUN
fcis-19577	8	52	video	video	NOUN
fcis-19577	8	53	stream	stream	NOUN
fcis-19577	8	54	with	with	ADP
fcis-19577	8	55	an	an	DET
fcis-19577	8	56	accuracy	accuracy	NOUN
fcis-19577	8	57	of	of	ADP
fcis-19577	8	58	90	90	NUM
fcis-19577	8	59	%	%	NOUN
fcis-19577	8	60	.	.	PUNCT
fcis-19577	9	1	after	after	ADP
fcis-19577	9	2	the	the	DET
fcis-19577	9	3	sensor	sensor	NOUN
fcis-19577	9	4	module	module	NOUN
fcis-19577	9	5	detects	detect	NOUN
fcis-19577	9	6	the	the	DET
fcis-19577	9	7	state	state	NOUN
fcis-19577	9	8	of	of	ADP
fcis-19577	9	9	the	the	DET
fcis-19577	9	10	human	human	ADJ
fcis-19577	9	11	body	body	NOUN
fcis-19577	9	12	out	out	ADP
fcis-19577	9	13	of	of	ADP
fcis-19577	9	14	bed	bed	NOUN
fcis-19577	9	15	,	,	PUNCT
fcis-19577	9	16	the	the	DET
fcis-19577	9	17	state	state	NOUN
fcis-19577	9	18	detection	detection	NOUN
fcis-19577	9	19	module	module	NOUN
fcis-19577	9	20	is	be	AUX
fcis-19577	9	21	started	start	VERB
fcis-19577	9	22	,	,	PUNCT
fcis-19577	9	23	and	and	CCONJ
fcis-19577	9	24	the	the	DET
fcis-19577	9	25	results	result	NOUN
fcis-19577	9	26	are	be	AUX
fcis-19577	9	27	transmitted	transmit	VERB
fcis-19577	9	28	back	back	ADV
fcis-19577	9	29	to	to	ADP
fcis-19577	9	30	the	the	DET
fcis-19577	9	31	back	back	ADJ
fcis-19577	9	32	-	-	PUNCT
fcis-19577	9	33	end	end	NOUN
fcis-19577	9	34	server	server	NOUN
fcis-19577	9	35	and	and	CCONJ
fcis-19577	9	36	uploaded	upload	VERB
fcis-19577	9	37	to	to	ADP
fcis-19577	9	38	the	the	DET
fcis-19577	9	39	web	web	NOUN
fcis-19577	9	40	page	page	NOUN
fcis-19577	9	41	to	to	PART
fcis-19577	9	42	realize	realize	VERB
fcis-19577	9	43	the	the	DET
fcis-19577	9	44	function	function	NOUN
fcis-19577	9	45	of	of	ADP
fcis-19577	9	46	real	real	ADJ
fcis-19577	9	47	-	-	PUNCT
fcis-19577	9	48	time	time	NOUN
fcis-19577	9	49	monitoring	monitoring	NOUN
fcis-19577	9	50	of	of	ADP
fcis-19577	9	51	the	the	DET
fcis-19577	9	52	state	state	NOUN
fcis-19577	9	53	of	of	ADP
fcis-19577	9	54	the	the	DET
fcis-19577	9	55	elderly	elderly	ADJ
fcis-19577	9	56	.	.	PUNCT
fcis-19577	10	1	keywords	keyword	NOUN
fcis-19577	10	2	:	:	PUNCT
fcis-19577	11	1	yolov8	yolov8	NOUN
fcis-19577	11	2	;	;	PUNCT
fcis-19577	11	3	gsrf	gsrf	PROPN
fcis-19577	11	4	algorithm	algorithm	PROPN
fcis-19577	11	5	;	;	PUNCT
fcis-19577	11	6	pressure	pressure	NOUN
fcis-19577	11	7	sensor	sensor	NOUN
fcis-19577	11	8	;	;	PUNCT
fcis-19577	11	9	state	state	NOUN
fcis-19577	11	10	detection	detection	NOUN
fcis-19577	11	11	;	;	PUNCT
fcis-19577	11	12	web	web	NOUN
fcis-19577	11	13	interface	interface	NOUN
fcis-19577	11	14	.	.	PUNCT
fcis-19577	12	1	1	1	X
fcis-19577	12	2	.	.	X
fcis-19577	12	3	introduction	introduction	NOUN
fcis-19577	12	4	in	in	ADP
fcis-19577	12	5	china	china	PROPN
fcis-19577	12	6	's	's	PART
fcis-19577	12	7	seventh	seventh	ADJ
fcis-19577	12	8	population	population	NOUN
fcis-19577	12	9	census	census	NOUN
fcis-19577	12	10	in	in	ADP
fcis-19577	12	11	2020	2020	NUM
fcis-19577	12	12	,	,	PUNCT
fcis-19577	12	13	the	the	DET
fcis-19577	12	14	elderly	elderly	ADJ
fcis-19577	12	15	population	population	NOUN
fcis-19577	12	16	aged	age	VERB
fcis-19577	12	17	60	60	NUM
fcis-19577	12	18	years	year	NOUN
fcis-19577	12	19	and	and	CCONJ
fcis-19577	12	20	above	above	ADP
fcis-19577	12	21	accounted	account	VERB
fcis-19577	12	22	for	for	ADP
fcis-19577	12	23	18.7	18.7	NUM
fcis-19577	12	24	%	%	NOUN
fcis-19577	12	25	of	of	ADP
fcis-19577	12	26	the	the	DET
fcis-19577	12	27	total	total	ADJ
fcis-19577	12	28	population[1	population[1	PROPN
fcis-19577	12	29	]	]	PUNCT
fcis-19577	12	30	,	,	PUNCT
fcis-19577	12	31	and	and	CCONJ
fcis-19577	12	32	has	have	AUX
fcis-19577	12	33	entered	enter	VERB
fcis-19577	12	34	an	an	DET
fcis-19577	12	35	aging	age	VERB
fcis-19577	12	36	society	society	NOUN
fcis-19577	12	37	.	.	PUNCT
fcis-19577	13	1	with	with	ADP
fcis-19577	13	2	the	the	DET
fcis-19577	13	3	increase	increase	NOUN
fcis-19577	13	4	of	of	ADP
fcis-19577	13	5	the	the	DET
fcis-19577	13	6	proportion	proportion	NOUN
fcis-19577	13	7	of	of	ADP
fcis-19577	13	8	the	the	DET
fcis-19577	13	9	elderly	elderly	ADJ
fcis-19577	13	10	,	,	PUNCT
fcis-19577	13	11	the	the	DET
fcis-19577	13	12	problem	problem	NOUN
fcis-19577	13	13	of	of	ADP
fcis-19577	13	14	elderly	elderly	ADJ
fcis-19577	13	15	guardianship	guardianship	NOUN
fcis-19577	13	16	is	be	AUX
fcis-19577	13	17	becoming	become	VERB
fcis-19577	13	18	more	more	ADV
fcis-19577	13	19	and	and	CCONJ
fcis-19577	13	20	more	more	ADV
fcis-19577	13	21	prominent	prominent	ADJ
fcis-19577	13	22	,	,	PUNCT
fcis-19577	13	23	and	and	CCONJ
fcis-19577	13	24	in	in	ADP
fcis-19577	13	25	the	the	DET
fcis-19577	13	26	face	face	NOUN
fcis-19577	13	27	of	of	ADP
fcis-19577	13	28	a	a	DET
fcis-19577	13	29	large	large	ADJ
fcis-19577	13	30	number	number	NOUN
fcis-19577	13	31	of	of	ADP
fcis-19577	13	32	elderly	elderly	ADJ
fcis-19577	13	33	people	people	NOUN
fcis-19577	13	34	,	,	PUNCT
fcis-19577	13	35	it	it	PRON
fcis-19577	13	36	is	be	AUX
fcis-19577	13	37	difficult	difficult	ADJ
fcis-19577	13	38	to	to	PART
fcis-19577	13	39	realize	realize	VERB
fcis-19577	13	40	the	the	DET
fcis-19577	13	41	guardianship	guardianship	NOUN
fcis-19577	13	42	by	by	ADP
fcis-19577	13	43	relying	rely	VERB
fcis-19577	13	44	only	only	ADV
fcis-19577	13	45	on	on	ADP
fcis-19577	13	46	children	child	NOUN
fcis-19577	13	47	.	.	PUNCT
fcis-19577	14	1	with	with	ADP
fcis-19577	14	2	the	the	DET
fcis-19577	14	3	development	development	NOUN
fcis-19577	14	4	of	of	ADP
fcis-19577	14	5	computer	computer	NOUN
fcis-19577	14	6	vision	vision	NOUN
fcis-19577	14	7	,	,	PUNCT
fcis-19577	14	8	sensor	sensor	NOUN
fcis-19577	14	9	technology	technology	NOUN
fcis-19577	14	10	,	,	PUNCT
fcis-19577	14	11	remote	remote	ADJ
fcis-19577	14	12	communication	communication	NOUN
fcis-19577	14	13	technology	technology	NOUN
fcis-19577	14	14	,	,	PUNCT
fcis-19577	14	15	the	the	DET
fcis-19577	14	16	use	use	NOUN
fcis-19577	14	17	of	of	ADP
fcis-19577	14	18	intelligent	intelligent	ADJ
fcis-19577	14	19	technology	technology	NOUN
fcis-19577	14	20	to	to	PART
fcis-19577	14	21	realize	realize	VERB
fcis-19577	14	22	the	the	DET
fcis-19577	14	23	function	function	NOUN
fcis-19577	14	24	of	of	ADP
fcis-19577	14	25	elderly	elderly	ADJ
fcis-19577	14	26	guardianship	guardianship	NOUN
fcis-19577	14	27	has	have	AUX
fcis-19577	14	28	become	become	VERB
fcis-19577	14	29	a	a	DET
fcis-19577	14	30	hot	hot	ADJ
fcis-19577	14	31	spot	spot	NOUN
fcis-19577	14	32	.	.	PUNCT
fcis-19577	15	1	chen	chen	PROPN
fcis-19577	15	2	xiang	xiang	PROPN
fcis-19577	16	1	[	[	X
fcis-19577	16	2	2	2	NUM
fcis-19577	16	3	]	]	PUNCT
fcis-19577	16	4	proposed	propose	VERB
fcis-19577	16	5	a	a	DET
fcis-19577	16	6	study	study	NOUN
fcis-19577	16	7	on	on	ADP
fcis-19577	16	8	fall	fall	NOUN
fcis-19577	16	9	detection	detection	NOUN
fcis-19577	16	10	based	base	VERB
fcis-19577	16	11	on	on	ADP
fcis-19577	16	12	acceleration	acceleration	NOUN
fcis-19577	16	13	sensors	sensor	NOUN
fcis-19577	16	14	,	,	PUNCT
fcis-19577	16	15	which	which	PRON
fcis-19577	16	16	utilizes	utilize	VERB
fcis-19577	16	17	a	a	DET
fcis-19577	16	18	three	three	NUM
fcis-19577	16	19	-	-	PUNCT
fcis-19577	16	20	axis	axis	NOUN
fcis-19577	16	21	acceleration	acceleration	NOUN
fcis-19577	16	22	sensor	sensor	NOUN
fcis-19577	16	23	to	to	PART
fcis-19577	16	24	collect	collect	VERB
fcis-19577	16	25	velocity	velocity	NOUN
fcis-19577	16	26	data	datum	NOUN
fcis-19577	16	27	and	and	CCONJ
fcis-19577	16	28	detects	detect	NOUN
fcis-19577	16	29	whether	whether	SCONJ
fcis-19577	16	30	an	an	DET
fcis-19577	16	31	elderly	elderly	ADJ
fcis-19577	16	32	person	person	NOUN
fcis-19577	16	33	falls	fall	VERB
fcis-19577	16	34	by	by	ADP
fcis-19577	16	35	determining	determine	VERB
fcis-19577	16	36	whether	whether	SCONJ
fcis-19577	16	37	the	the	DET
fcis-19577	16	38	velocity	velocity	NOUN
fcis-19577	16	39	exceeds	exceed	VERB
fcis-19577	16	40	an	an	DET
fcis-19577	16	41	advance	advance	NOUN
fcis-19577	16	42	threshold	threshold	NOUN
fcis-19577	16	43	.	.	PUNCT
fcis-19577	17	1	xin	xin	PROPN
fcis-19577	17	2	hu	hu	PROPN
fcis-19577	18	1	[	[	X
fcis-19577	18	2	3	3	NUM
fcis-19577	18	3	]	]	PUNCT
fcis-19577	18	4	et	et	PROPN
fcis-19577	18	5	al	al	PROPN
fcis-19577	18	6	.	.	PROPN
fcis-19577	18	7	studied	study	VERB
fcis-19577	18	8	an	an	DET
fcis-19577	18	9	openpose	openpose	NOUN
fcis-19577	18	10	-	-	PUNCT
fcis-19577	18	11	based	base	VERB
fcis-19577	18	12	fall	fall	NOUN
fcis-19577	18	13	detection	detection	NOUN
fcis-19577	18	14	algorithm	algorithm	NOUN
fcis-19577	18	15	for	for	ADP
fcis-19577	18	16	the	the	DET
fcis-19577	18	17	elderly	elderly	ADJ
fcis-19577	18	18	,	,	PUNCT
fcis-19577	18	19	and	and	CCONJ
fcis-19577	18	20	based	base	VERB
fcis-19577	18	21	on	on	ADP
fcis-19577	18	22	the	the	DET
fcis-19577	18	23	openpose	openpose	PROPN
fcis-19577	18	24	human	human	PROPN
fcis-19577	18	25	skeleton	skeleton	PROPN
fcis-19577	18	26	information	information	NOUN
fcis-19577	18	27	recognition	recognition	NOUN
fcis-19577	18	28	network	network	NOUN
fcis-19577	18	29	,	,	PUNCT
fcis-19577	18	30	they	they	PRON
fcis-19577	18	31	proposed	propose	VERB
fcis-19577	18	32	to	to	PART
fcis-19577	18	33	replace	replace	VERB
fcis-19577	18	34	some	some	PRON
fcis-19577	18	35	of	of	ADP
fcis-19577	18	36	its	its	PRON
fcis-19577	18	37	convolutional	convolutional	ADJ
fcis-19577	18	38	layers	layer	NOUN
fcis-19577	18	39	with	with	ADP
fcis-19577	18	40	depth	depth	NOUN
fcis-19577	18	41	-	-	PUNCT
fcis-19577	18	42	separable	separable	NOUN
fcis-19577	18	43	convolutional	convolutional	ADJ
fcis-19577	18	44	neural	neural	ADJ
fcis-19577	18	45	network	network	NOUN
fcis-19577	18	46	types	type	NOUN
fcis-19577	18	47	.	.	PUNCT
fcis-19577	19	1	the	the	DET
fcis-19577	19	2	algorithm	algorithm	NOUN
fcis-19577	19	3	uses	use	VERB
fcis-19577	19	4	long	long	ADJ
fcis-19577	19	5	and	and	CCONJ
fcis-19577	19	6	short	short	ADJ
fcis-19577	19	7	term	term	NOUN
fcis-19577	19	8	memory	memory	NOUN
fcis-19577	19	9	neural	neural	ADJ
fcis-19577	19	10	network	network	NOUN
fcis-19577	19	11	to	to	PART
fcis-19577	19	12	detect	detect	VERB
fcis-19577	19	13	the	the	DET
fcis-19577	19	14	fall	fall	NOUN
fcis-19577	19	15	of	of	ADP
fcis-19577	19	16	the	the	DET
fcis-19577	19	17	elderly	elderly	ADJ
fcis-19577	19	18	.	.	PUNCT
fcis-19577	20	1	hao	hao	PROPN
fcis-19577	20	2	-	-	PROPN
fcis-19577	20	3	hao	hao	PROPN
fcis-19577	20	4	huang	huang	PROPN
fcis-19577	21	1	[	[	X
fcis-19577	21	2	4	4	NUM
fcis-19577	21	3	]	]	PUNCT
fcis-19577	21	4	designed	design	VERB
fcis-19577	21	5	a	a	DET
fcis-19577	21	6	deep	deep	ADJ
fcis-19577	21	7	learning	learning	NOUN
fcis-19577	21	8	based	base	VERB
fcis-19577	21	9	monitoring	monitor	VERB
fcis-19577	21	10	system	system	NOUN
fcis-19577	21	11	for	for	ADP
fcis-19577	21	12	the	the	DET
fcis-19577	21	13	hazardous	hazardous	ADJ
fcis-19577	21	14	conditions	condition	NOUN
fcis-19577	21	15	of	of	ADP
fcis-19577	21	16	elderly	elderly	ADJ
fcis-19577	21	17	people	people	NOUN
fcis-19577	21	18	living	live	VERB
fcis-19577	21	19	alone	alone	ADV
fcis-19577	21	20	,	,	PUNCT
fcis-19577	21	21	proposing	propose	VERB
fcis-19577	21	22	the	the	DET
fcis-19577	21	23	use	use	NOUN
fcis-19577	21	24	of	of	ADP
fcis-19577	21	25	ds	ds	NOUN
fcis-19577	21	26	-	-	PUNCT
fcis-19577	21	27	minivggnet	minivggnet	NOUN
fcis-19577	21	28	for	for	ADP
fcis-19577	21	29	expression	expression	NOUN
fcis-19577	21	30	recognition	recognition	NOUN
fcis-19577	21	31	and	and	CCONJ
fcis-19577	21	32	fall	fall	VERB
fcis-19577	21	33	detection	detection	NOUN
fcis-19577	21	34	with	with	ADP
fcis-19577	21	35	an	an	DET
fcis-19577	21	36	accuracy	accuracy	NOUN
fcis-19577	21	37	of	of	ADP
fcis-19577	21	38	99.01	99.01	NUM
fcis-19577	21	39	%	%	NOUN
fcis-19577	21	40	and	and	CCONJ
fcis-19577	21	41	98.93	98.93	NUM
fcis-19577	21	42	%	%	NOUN
fcis-19577	21	43	,	,	PUNCT
fcis-19577	21	44	respectively	respectively	ADV
fcis-19577	21	45	.	.	PUNCT
fcis-19577	22	1	the	the	DET
fcis-19577	22	2	intelligent	intelligent	ADJ
fcis-19577	22	3	monitoring	monitoring	NOUN
fcis-19577	22	4	system	system	NOUN
fcis-19577	22	5	proposed	propose	VERB
fcis-19577	22	6	in	in	ADP
fcis-19577	22	7	this	this	DET
fcis-19577	22	8	paper	paper	NOUN
fcis-19577	22	9	combines	combine	VERB
fcis-19577	22	10	sensor	sensor	NOUN
fcis-19577	22	11	technology	technology	NOUN
fcis-19577	22	12	,	,	PUNCT
fcis-19577	22	13	yolov8	yolov8	NOUN
fcis-19577	22	14	-	-	PUNCT
fcis-19577	22	15	pose	pose	NOUN
fcis-19577	22	16	algorithm	algorithm	NOUN
fcis-19577	22	17	,	,	PUNCT
fcis-19577	22	18	gsrf	gsrf	PROPN
fcis-19577	22	19	algorithm	algorithm	PROPN
fcis-19577	22	20	,	,	PUNCT
fcis-19577	22	21	and	and	CCONJ
fcis-19577	22	22	websocket	websocket	NOUN
fcis-19577	22	23	technology	technology	NOUN
fcis-19577	22	24	,	,	PUNCT
fcis-19577	22	25	and	and	CCONJ
fcis-19577	22	26	is	be	AUX
fcis-19577	22	27	able	able	ADJ
fcis-19577	22	28	to	to	PART
fcis-19577	22	29	simultaneously	simultaneously	ADV
fcis-19577	22	30	perform	perform	VERB
fcis-19577	22	31	the	the	DET
fcis-19577	22	32	functions	function	NOUN
fcis-19577	22	33	of	of	ADP
fcis-19577	22	34	video	video	NOUN
fcis-19577	22	35	remote	remote	ADJ
fcis-19577	22	36	monitoring	monitoring	NOUN
fcis-19577	22	37	,	,	PUNCT
fcis-19577	22	38	real	real	ADJ
fcis-19577	22	39	-	-	PUNCT
fcis-19577	22	40	time	time	NOUN
fcis-19577	22	41	status	status	NOUN
fcis-19577	22	42	detection	detection	NOUN
fcis-19577	22	43	,	,	PUNCT
fcis-19577	22	44	and	and	CCONJ
fcis-19577	22	45	hazardous	hazardous	ADJ
fcis-19577	22	46	action	action	NOUN
fcis-19577	22	47	warning	warning	NOUN
fcis-19577	22	48	.	.	PUNCT
fcis-19577	23	1	after	after	ADP
fcis-19577	23	2	experiments	experiment	NOUN
fcis-19577	23	3	,	,	PUNCT
fcis-19577	23	4	it	it	PRON
fcis-19577	23	5	is	be	AUX
fcis-19577	23	6	proved	prove	VERB
fcis-19577	23	7	that	that	SCONJ
fcis-19577	23	8	the	the	DET
fcis-19577	23	9	system	system	NOUN
fcis-19577	23	10	has	have	VERB
fcis-19577	23	11	high	high	ADJ
fcis-19577	23	12	accuracy	accuracy	NOUN
fcis-19577	23	13	in	in	ADP
fcis-19577	23	14	detecting	detect	VERB
fcis-19577	23	15	the	the	DET
fcis-19577	23	16	fall	fall	NOUN
fcis-19577	23	17	state	state	NOUN
fcis-19577	23	18	and	and	CCONJ
fcis-19577	23	19	the	the	DET
fcis-19577	23	20	server	server	NOUN
fcis-19577	23	21	runs	run	VERB
fcis-19577	23	22	stably	stably	ADV
fcis-19577	23	23	.	.	PUNCT
fcis-19577	24	1	2	2	X
fcis-19577	24	2	.	.	X
fcis-19577	24	3	principle	principle	NOUN
fcis-19577	24	4	of	of	ADP
fcis-19577	24	5	sensor	sensor	NOUN
fcis-19577	24	6	technology	technology	NOUN
fcis-19577	24	7	in	in	ADP
fcis-19577	24	8	this	this	DET
fcis-19577	24	9	part	part	NOUN
fcis-19577	24	10	,	,	PUNCT
fcis-19577	24	11	the	the	DET
fcis-19577	24	12	main	main	ADJ
fcis-19577	24	13	work	work	NOUN
fcis-19577	24	14	is	be	AUX
fcis-19577	24	15	to	to	PART
fcis-19577	24	16	detect	detect	VERB
fcis-19577	24	17	the	the	DET
fcis-19577	24	18	state	state	NOUN
fcis-19577	24	19	of	of	ADP
fcis-19577	24	20	the	the	DET
fcis-19577	24	21	elderly	elderly	ADJ
fcis-19577	24	22	in	in	ADP
fcis-19577	24	23	bed	bed	NOUN
fcis-19577	24	24	,	,	PUNCT
fcis-19577	24	25	and	and	CCONJ
fcis-19577	24	26	start	start	VERB
fcis-19577	24	27	the	the	DET
fcis-19577	24	28	state	state	NOUN
fcis-19577	24	29	detection	detection	NOUN
fcis-19577	24	30	module	module	NOUN
fcis-19577	24	31	when	when	SCONJ
fcis-19577	24	32	the	the	DET
fcis-19577	24	33	elderly	elderly	ADJ
fcis-19577	24	34	leaves	leave	VERB
fcis-19577	24	35	the	the	DET
fcis-19577	24	36	bed	bed	NOUN
fcis-19577	24	37	.	.	PUNCT
fcis-19577	25	1	the	the	DET
fcis-19577	25	2	pressure	pressure	NOUN
fcis-19577	25	3	data	datum	NOUN
fcis-19577	25	4	obtained	obtain	VERB
fcis-19577	25	5	by	by	ADP
fcis-19577	25	6	the	the	DET
fcis-19577	25	7	hardware	hardware	NOUN
fcis-19577	25	8	device	device	NOUN
fcis-19577	25	9	of	of	ADP
fcis-19577	25	10	the	the	DET
fcis-19577	25	11	pressure	pressure	NOUN
fcis-19577	25	12	sensor	sensor	NOUN
fcis-19577	25	13	can	can	AUX
fcis-19577	25	14	not	not	PART
fcis-19577	25	15	be	be	AUX
fcis-19577	25	16	directly	directly	ADV
fcis-19577	25	17	used	use	VERB
fcis-19577	25	18	to	to	PART
fcis-19577	25	19	judge	judge	VERB
fcis-19577	25	20	the	the	DET
fcis-19577	25	21	state	state	NOUN
fcis-19577	25	22	,	,	PUNCT
fcis-19577	25	23	so	so	CCONJ
fcis-19577	25	24	the	the	DET
fcis-19577	25	25	further	further	ADJ
fcis-19577	25	26	processing	processing	NOUN
fcis-19577	25	27	is	be	AUX
fcis-19577	25	28	adopted	adopt	VERB
fcis-19577	25	29	.	.	PUNCT
fcis-19577	26	1	after	after	SCONJ
fcis-19577	26	2	the	the	DET
fcis-19577	26	3	data	data	NOUN
fcis-19577	26	4	is	be	AUX
fcis-19577	26	5	sent	send	VERB
fcis-19577	26	6	to	to	ADP
fcis-19577	26	7	the	the	DET
fcis-19577	26	8	pc	pc	NOUN
fcis-19577	26	9	end	end	NOUN
fcis-19577	26	10	,	,	PUNCT
fcis-19577	26	11	the	the	DET
fcis-19577	26	12	judgment	judgment	NOUN
fcis-19577	26	13	state	state	NOUN
fcis-19577	26	14	is	be	AUX
fcis-19577	26	15	actually	actually	ADV
fcis-19577	26	16	a	a	DET
fcis-19577	26	17	binary	binary	ADJ
fcis-19577	26	18	classification	classification	NOUN
fcis-19577	26	19	problem	problem	NOUN
fcis-19577	26	20	.	.	PUNCT
fcis-19577	27	1	in	in	ADP
fcis-19577	27	2	this	this	DET
fcis-19577	27	3	part	part	NOUN
fcis-19577	27	4	,	,	PUNCT
fcis-19577	27	5	the	the	DET
fcis-19577	27	6	rf	rf	ADJ
fcis-19577	27	7	algorithm	algorithm	NOUN
fcis-19577	27	8	is	be	AUX
fcis-19577	27	9	used	use	VERB
fcis-19577	27	10	to	to	PART
fcis-19577	27	11	classify	classify	VERB
fcis-19577	27	12	the	the	DET
fcis-19577	27	13	data	datum	NOUN
fcis-19577	27	14	,	,	PUNCT
fcis-19577	27	15	which	which	PRON
fcis-19577	27	16	can	can	AUX
fcis-19577	27	17	achieve	achieve	VERB
fcis-19577	27	18	the	the	DET
fcis-19577	27	19	advantages	advantage	NOUN
fcis-19577	27	20	of	of	ADP
fcis-19577	27	21	high	high	ADJ
fcis-19577	27	22	accuracy	accuracy	NOUN
fcis-19577	27	23	and	and	CCONJ
fcis-19577	27	24	strong	strong	ADJ
fcis-19577	27	25	generalization	generalization	NOUN
fcis-19577	27	26	ability	ability	NOUN
fcis-19577	27	27	.	.	PUNCT
fcis-19577	28	1	2.1	2.1	NUM
fcis-19577	28	2	.	.	PUNCT
fcis-19577	28	3	sensor	sensor	NOUN
fcis-19577	28	4	module	module	NOUN
fcis-19577	28	5	hardware	hardware	NOUN
fcis-19577	28	6	selection	selection	NOUN
fcis-19577	28	7	in	in	ADP
fcis-19577	28	8	the	the	DET
fcis-19577	28	9	process	process	NOUN
fcis-19577	28	10	of	of	ADP
fcis-19577	28	11	the	the	DET
fcis-19577	28	12	experiment	experiment	NOUN
fcis-19577	28	13	,	,	PUNCT
fcis-19577	28	14	after	after	ADP
fcis-19577	28	15	considering	consider	VERB
fcis-19577	28	16	the	the	DET
fcis-19577	28	17	cost	cost	NOUN
fcis-19577	28	18	and	and	CCONJ
fcis-19577	28	19	data	datum	NOUN
fcis-19577	28	20	accuracy	accuracy	NOUN
fcis-19577	28	21	,	,	PUNCT
fcis-19577	28	22	the	the	DET
fcis-19577	28	23	50	50	NUM
fcis-19577	28	24	kg	kg	NOUN
fcis-19577	28	25	weighing	weigh	VERB
fcis-19577	28	26	sensor	sensor	NOUN
fcis-19577	28	27	×4	×4	NOUN
fcis-19577	28	28	and	and	CCONJ
fcis-19577	28	29	the	the	DET
fcis-19577	28	30	hx711	hx711	PROPN
fcis-19577	28	31	module	module	NOUN
fcis-19577	28	32	×4	×4	NOUN
fcis-19577	28	33	was	be	AUX
fcis-19577	28	34	selected	select	VERB
fcis-19577	28	35	as	as	ADP
fcis-19577	28	36	the	the	DET
fcis-19577	28	37	data	data	NOUN
fcis-19577	28	38	collection	collection	NOUN
fcis-19577	28	39	devices	device	NOUN
fcis-19577	28	40	for	for	ADP
fcis-19577	28	41	the	the	DET
fcis-19577	28	42	off	off	ADP
fcis-19577	28	43	-	-	PUNCT
fcis-19577	28	44	bed	bed	NOUN
fcis-19577	28	45	detection	detection	NOUN
fcis-19577	28	46	.	.	PUNCT
fcis-19577	29	1	the	the	DET
fcis-19577	29	2	50	50	NUM
fcis-19577	29	3	kg	kg	NOUN
fcis-19577	29	4	human	human	ADJ
fcis-19577	29	5	body	body	NOUN
fcis-19577	29	6	weighing	weigh	VERB
fcis-19577	29	7	module	module	NOUN
fcis-19577	29	8	contains	contain	VERB
fcis-19577	29	9	a	a	DET
fcis-19577	29	10	1000	1000	NUM
fcis-19577	29	11	-	-	PUNCT
fcis-19577	29	12	euro	euro	NOUN
fcis-19577	29	13	half	half	NOUN
fcis-19577	29	14	bridge	bridge	NOUN
fcis-19577	29	15	strain	strain	NOUN
fcis-19577	29	16	gauge	gauge	NOUN
fcis-19577	29	17	inside	inside	ADV
fcis-19577	29	18	,	,	PUNCT
fcis-19577	29	19	and	and	CCONJ
fcis-19577	29	20	the	the	DET
fcis-19577	29	21	deformation	deformation	NOUN
fcis-19577	29	22	resistance	resistance	NOUN
fcis-19577	29	23	bridge	bridge	NOUN
fcis-19577	29	24	circuit	circuit	NOUN
fcis-19577	29	25	[	[	X
fcis-19577	29	26	5	5	NUM
fcis-19577	29	27	]	]	PUNCT
fcis-19577	29	28	can	can	AUX
fcis-19577	29	29	be	be	AUX
fcis-19577	29	30	used	use	VERB
fcis-19577	29	31	to	to	PART
fcis-19577	29	32	convert	convert	VERB
fcis-19577	29	33	the	the	DET
fcis-19577	29	34	resistance	resistance	NOUN
fcis-19577	29	35	change	change	NOUN
fcis-19577	29	36	of	of	ADP
fcis-19577	29	37	the	the	DET
fcis-19577	29	38	strain	strain	NOUN
fcis-19577	29	39	gauge	gauge	NOUN
fcis-19577	29	40	into	into	ADP
fcis-19577	29	41	electrical	electrical	ADJ
fcis-19577	29	42	signals	signal	NOUN
fcis-19577	29	43	of	of	ADP
fcis-19577	29	44	voltage	voltage	NOUN
fcis-19577	29	45	or	or	CCONJ
fcis-19577	29	46	current	current	ADJ
fcis-19577	29	47	.	.	PUNCT
fcis-19577	30	1	during	during	ADP
fcis-19577	30	2	the	the	DET
fcis-19577	30	3	measurement	measurement	NOUN
fcis-19577	30	4	,	,	PUNCT
fcis-19577	30	5	the	the	DET
fcis-19577	30	6	correct	correct	ADJ
fcis-19577	30	7	external	external	ADJ
fcis-19577	30	8	force	force	NOUN
fcis-19577	30	9	is	be	AUX
fcis-19577	30	10	applied	apply	VERB
fcis-19577	30	11	on	on	ADP
fcis-19577	30	12	the	the	DET
fcis-19577	30	13	outside	outside	NOUN
fcis-19577	30	14	,	,	PUNCT
fcis-19577	30	15	the	the	DET
fcis-19577	30	16	bridge	bridge	NOUN
fcis-19577	30	17	arm	arm	NOUN
fcis-19577	30	18	is	be	AUX
fcis-19577	30	19	bent	bent	ADJ
fcis-19577	30	20	,	,	PUNCT
fcis-19577	30	21	and	and	CCONJ
fcis-19577	30	22	the	the	DET
fcis-19577	30	23	resistance	resistance	NOUN
fcis-19577	30	24	strain	strain	NOUN
fcis-19577	30	25	gauge	gauge	NOUN
fcis-19577	30	26	will	will	AUX
fcis-19577	30	27	output	output	VERB
fcis-19577	30	28	a	a	DET
fcis-19577	30	29	weak	weak	ADJ
fcis-19577	30	30	voltage	voltage	NOUN
fcis-19577	30	31	signal	signal	NOUN
fcis-19577	30	32	according	accord	VERB
fcis-19577	30	33	to	to	ADP
fcis-19577	30	34	the	the	DET
fcis-19577	30	35	degree	degree	NOUN
fcis-19577	30	36	of	of	ADP
fcis-19577	30	37	bending	bending	NOUN
fcis-19577	30	38	.	.	PUNCT
fcis-19577	31	1	the	the	DET
fcis-19577	31	2	hx711	hx711	PROPN
fcis-19577	31	3	chip	chip	NOUN
fcis-19577	31	4	has	have	VERB
fcis-19577	31	5	a	a	DET
fcis-19577	31	6	high	high	ADJ
fcis-19577	31	7	-	-	PUNCT
fcis-19577	31	8	precision	precision	NOUN
fcis-19577	31	9	24	24	NUM
fcis-19577	31	10	-	-	PUNCT
fcis-19577	31	11	bit	bit	NOUN
fcis-19577	31	12	a	a	DET
fcis-19577	31	13	/	/	SYM
fcis-19577	31	14	d	d	NOUN
fcis-19577	31	15	converter	converter	NOUN
fcis-19577	31	16	chip	chip	NOUN
fcis-19577	31	17	,	,	PUNCT
fcis-19577	31	18	which	which	PRON
fcis-19577	31	19	can	can	AUX
fcis-19577	31	20	amplify	amplify	VERB
fcis-19577	31	21	the	the	DET
fcis-19577	31	22	weak	weak	ADJ
fcis-19577	31	23	voltage	voltage	NOUN
fcis-19577	31	24	signal	signal	NOUN
fcis-19577	31	25	output	output	NOUN
fcis-19577	31	26	by	by	ADP
fcis-19577	31	27	the	the	DET
fcis-19577	31	28	deformable	deformable	ADJ
fcis-19577	31	29	resistor	resistor	NOUN
fcis-19577	31	30	bridge	bridge	NOUN
fcis-19577	31	31	circuit	circuit	NOUN
fcis-19577	31	32	and	and	CCONJ
fcis-19577	31	33	convert	convert	VERB
fcis-19577	31	34	it	it	PRON
fcis-19577	31	35	into	into	ADP
fcis-19577	31	36	a	a	DET
fcis-19577	31	37	digital	digital	ADJ
fcis-19577	31	38	signal	signal	NOUN
fcis-19577	31	39	.	.	PUNCT
fcis-19577	32	1	the	the	DET
fcis-19577	32	2	programming	programming	NOUN
fcis-19577	32	3	of	of	ADP
fcis-19577	32	4	the	the	DET
fcis-19577	32	5	chip	chip	NOUN
fcis-19577	32	6	is	be	AUX
fcis-19577	32	7	relatively	relatively	ADV
fcis-19577	32	8	simple	simple	ADJ
fcis-19577	32	9	,	,	PUNCT
fcis-19577	32	10	and	and	CCONJ
fcis-19577	32	11	the	the	DET
fcis-19577	32	12	low	low	ADJ
fcis-19577	32	13	-	-	PUNCT
fcis-19577	32	14	noise	noise	NOUN
fcis-19577	32	15	programmable	programmable	ADJ
fcis-19577	32	16	amplifier	amplifier	NOUN
fcis-19577	32	17	connected	connect	VERB
fcis-19577	32	18	to	to	PART
fcis-19577	32	19	channel	channel	VERB
fcis-19577	32	20	a	a	DET
fcis-19577	32	21	or	or	CCONJ
fcis-19577	32	22	channel	channel	NOUN
fcis-19577	32	23	b	b	NOUN
fcis-19577	32	24	can	can	AUX
fcis-19577	32	25	be	be	AUX
fcis-19577	32	26	selected	select	VERB
fcis-19577	32	27	by	by	ADP
fcis-19577	32	28	the	the	DET
fcis-19577	32	29	selection	selection	NOUN
fcis-19577	32	30	switch	switch	NOUN
fcis-19577	32	31	.	.	PUNCT
fcis-19577	33	1	among	among	ADP
fcis-19577	33	2	them	they	PRON
fcis-19577	33	3	,	,	PUNCT
fcis-19577	33	4	channel	channel	VERB
fcis-19577	33	5	a	a	PRON
fcis-19577	33	6	has	have	VERB
fcis-19577	33	7	a	a	DET
fcis-19577	33	8	programmable	programmable	ADJ
fcis-19577	33	9	gain	gain	NOUN
fcis-19577	33	10	of	of	ADP
fcis-19577	33	11	128	128	NUM
fcis-19577	33	12	or	or	CCONJ
fcis-19577	33	13	64	64	NUM
fcis-19577	33	14	,	,	PUNCT
fcis-19577	33	15	corresponding	correspond	VERB
fcis-19577	33	16	to	to	ADP
fcis-19577	33	17	the	the	DET
fcis-19577	33	18	full	full	ADJ
fcis-19577	33	19	-	-	PUNCT
fcis-19577	33	20	scale	scale	NOUN
fcis-19577	33	21	difference	difference	NOUN
fcis-19577	33	22	of	of	ADP
fcis-19577	33	23	±20mv	±20mv	PROPN
fcis-19577	33	24	or	or	CCONJ
fcis-19577	33	25	±40mv	±40mv	PROPN
fcis-19577	33	26	input	input	NOUN
fcis-19577	33	27	signal	signal	NOUN
fcis-19577	33	28	amplitude	amplitude	NOUN
fcis-19577	33	29	,	,	PUNCT
fcis-19577	33	30	respectively	respectively	ADV
fcis-19577	33	31	,	,	PUNCT
fcis-19577	33	32	and	and	CCONJ
fcis-19577	33	33	channel	channel	PROPN
fcis-19577	33	34	b	b	PROPN
fcis-19577	33	35	has	have	VERB
fcis-19577	33	36	a	a	DET
fcis-19577	33	37	programmable	programmable	ADJ
fcis-19577	33	38	gain	gain	NOUN
fcis-19577	33	39	of	of	ADP
fcis-19577	33	40	32	32	NUM
fcis-19577	33	41	.	.	PUNCT
fcis-19577	34	1	the	the	DET
fcis-19577	34	2	hx711	hx711	PROPN
fcis-19577	34	3	pin	pin	NOUN
fcis-19577	34	4	diagram	diagram	NOUN
fcis-19577	34	5	is	be	AUX
fcis-19577	34	6	shown	show	VERB
fcis-19577	34	7	in	in	ADP
fcis-19577	34	8	figure	figure	NOUN
fcis-19577	34	9	1	1	NUM
fcis-19577	34	10	.	.	PUNCT
fcis-19577	34	11	62	62	NUM
fcis-19577	34	12	figure	figure	NOUN
fcis-19577	34	13	1	1	NUM
fcis-19577	34	14	.	.	PUNCT
fcis-19577	35	1	hx711	hx711	NOUN
fcis-19577	35	2	pin	pin	AUX
fcis-19577	35	3	diagram	diagram	VERB
fcis-19577	35	4	2.2	2.2	NUM
fcis-19577	35	5	.	.	PUNCT
fcis-19577	36	1	mcu	mcu	PROPN
fcis-19577	36	2	chip	chip	NOUN
fcis-19577	36	3	selection	selection	NOUN
fcis-19577	36	4	figure	figure	NOUN
fcis-19577	36	5	2	2	NUM
fcis-19577	36	6	.	.	PUNCT
fcis-19577	37	1	esp32	esp32	ADV
fcis-19577	37	2	-	-	PUNCT
fcis-19577	37	3	wroom-32	wroom-32	PROPN
fcis-19577	37	4	pin	pin	NOUN
fcis-19577	37	5	layout	layout	VERB
fcis-19577	37	6	the	the	DET
fcis-19577	37	7	mcu	mcu	PROPN
fcis-19577	37	8	module	module	NOUN
fcis-19577	37	9	used	use	VERB
fcis-19577	37	10	in	in	ADP
fcis-19577	37	11	the	the	DET
fcis-19577	37	12	sensor	sensor	NOUN
fcis-19577	37	13	data	datum	NOUN
fcis-19577	37	14	reading	reading	NOUN
fcis-19577	37	15	and	and	CCONJ
fcis-19577	37	16	transmission	transmission	NOUN
fcis-19577	37	17	part	part	NOUN
fcis-19577	37	18	is	be	AUX
fcis-19577	37	19	esp32	esp32	ADV
fcis-19577	37	20	-	-	PUNCT
fcis-19577	37	21	wroom-32	wroom-32	PROPN
fcis-19577	37	22	.	.	PUNCT
fcis-19577	38	1	the	the	DET
fcis-19577	38	2	chip	chip	NOUN
fcis-19577	38	3	used	use	VERB
fcis-19577	38	4	in	in	ADP
fcis-19577	38	5	this	this	DET
fcis-19577	38	6	module	module	NOUN
fcis-19577	38	7	is	be	AUX
fcis-19577	38	8	esp32	esp32	ADV
fcis-19577	38	9	-	-	PUNCT
fcis-19577	38	10	d0wdq6	d0wdq6	NOUN
fcis-19577	38	11	,	,	PUNCT
fcis-19577	38	12	and	and	CCONJ
fcis-19577	38	13	this	this	DET
fcis-19577	38	14	chip	chip	NOUN
fcis-19577	38	15	has	have	VERB
fcis-19577	38	16	two	two	NUM
fcis-19577	38	17	cpu	cpu	NOUN
fcis-19577	38	18	cores	core	NOUN
fcis-19577	38	19	that	that	PRON
fcis-19577	38	20	can	can	AUX
fcis-19577	38	21	be	be	AUX
fcis-19577	38	22	controlled	control	VERB
fcis-19577	38	23	separately	separately	ADV
fcis-19577	38	24	.	.	PUNCT
fcis-19577	39	1	the	the	DET
fcis-19577	39	2	clock	clock	NOUN
fcis-19577	39	3	frequency	frequency	NOUN
fcis-19577	39	4	is	be	AUX
fcis-19577	39	5	adjustable	adjustable	ADJ
fcis-19577	39	6	from	from	ADP
fcis-19577	39	7	80mhz	80mhz	NUM
fcis-19577	39	8	to	to	ADP
fcis-19577	39	9	240mhz	240mhz	NUM
fcis-19577	39	10	,	,	PUNCT
fcis-19577	39	11	which	which	PRON
fcis-19577	39	12	is	be	AUX
fcis-19577	39	13	suitable	suitable	ADJ
fcis-19577	39	14	for	for	ADP
fcis-19577	39	15	low	low	ADJ
fcis-19577	39	16	-	-	PUNCT
fcis-19577	39	17	power	power	NOUN
fcis-19577	39	18	sensor	sensor	NOUN
fcis-19577	39	19	networks	network	NOUN
fcis-19577	39	20	.	.	PUNCT
fcis-19577	40	1	the	the	DET
fcis-19577	40	2	module	module	NOUN
fcis-19577	40	3	also	also	ADV
fcis-19577	40	4	integrates	integrate	VERB
fcis-19577	40	5	bluetooth	bluetooth	NOUN
fcis-19577	40	6	and	and	CCONJ
fcis-19577	40	7	wide	wide	ADJ
fcis-19577	40	8	range	range	NOUN
fcis-19577	40	9	wi	wi	PROPN
fcis-19577	40	10	-	-	PUNCT
fcis-19577	40	11	fi	fi	NOUN
fcis-19577	40	12	communication	communication	NOUN
fcis-19577	40	13	functions	function	NOUN
fcis-19577	40	14	,	,	PUNCT
fcis-19577	40	15	and	and	CCONJ
fcis-19577	40	16	supports	support	VERB
fcis-19577	40	17	data	data	NOUN
fcis-19577	40	18	transfer	transfer	NOUN
fcis-19577	40	19	rates	rate	NOUN
fcis-19577	40	20	up	up	ADP
fcis-19577	40	21	to	to	ADP
fcis-19577	40	22	150mbps	150mbps	PROPN
fcis-19577	40	23	.	.	PUNCT
fcis-19577	41	1	this	this	DET
fcis-19577	41	2	module	module	NOUN
fcis-19577	41	3	can	can	AUX
fcis-19577	41	4	complete	complete	VERB
fcis-19577	41	5	the	the	DET
fcis-19577	41	6	function	function	NOUN
fcis-19577	41	7	of	of	ADP
fcis-19577	41	8	real	real	ADJ
fcis-19577	41	9	-	-	PUNCT
fcis-19577	41	10	time	time	NOUN
fcis-19577	41	11	communication	communication	NOUN
fcis-19577	41	12	with	with	ADP
fcis-19577	41	13	the	the	DET
fcis-19577	41	14	pc	pc	NOUN
fcis-19577	41	15	.	.	PUNCT
fcis-19577	42	1	the	the	DET
fcis-19577	42	2	mcu	mcu	PROPN
fcis-19577	42	3	pin	pin	PROPN
fcis-19577	42	4	diagram	diagram	NOUN
fcis-19577	42	5	is	be	AUX
fcis-19577	42	6	shown	show	VERB
fcis-19577	42	7	in	in	ADP
fcis-19577	42	8	figure	figure	NOUN
fcis-19577	42	9	2	2	NUM
fcis-19577	42	10	.	.	NOUN
fcis-19577	42	11	2.3	2.3	NUM
fcis-19577	42	12	.	.	PUNCT
fcis-19577	43	1	sensor	sensor	NOUN
fcis-19577	43	2	module	module	NOUN
fcis-19577	43	3	design	design	NOUN
fcis-19577	43	4	connect	connect	VERB
fcis-19577	43	5	sip6	sip6	PROPN
fcis-19577	43	6	with	with	ADP
fcis-19577	43	7	bridge	bridge	NOUN
fcis-19577	43	8	pressure	pressure	NOUN
fcis-19577	43	9	sensor	sensor	NOUN
fcis-19577	43	10	[	[	X
fcis-19577	43	11	6	6	NUM
fcis-19577	43	12	]	]	PUNCT
fcis-19577	43	13	.	.	PUNCT
fcis-19577	44	1	in	in	ADP
fcis-19577	44	2	the	the	DET
fcis-19577	44	3	input	input	NOUN
fcis-19577	44	4	part	part	NOUN
fcis-19577	44	5	of	of	ADP
fcis-19577	44	6	hx711	hx711	PROPN
fcis-19577	44	7	chip	chip	NOUN
fcis-19577	44	8	,	,	PUNCT
fcis-19577	44	9	connect	connect	VERB
fcis-19577	44	10	e+	e+	NOUN
fcis-19577	44	11	of	of	ADP
fcis-19577	44	12	sip6	sip6	NOUN
fcis-19577	44	13	with	with	ADP
fcis-19577	44	14	avdd	avdd	PROPN
fcis-19577	44	15	,	,	PUNCT
fcis-19577	44	16	ewith	ewith	PROPN
fcis-19577	44	17	gnd	gnd	PROPN
fcis-19577	44	18	,	,	PUNCT
fcis-19577	44	19	a+	a+	PUNCT
fcis-19577	44	20	with	with	ADP
fcis-19577	44	21	ina+	ina+	NOUN
fcis-19577	44	22	of	of	ADP
fcis-19577	44	23	hx711	hx711	PROPN
fcis-19577	44	24	chip	chip	NOUN
fcis-19577	44	25	,	,	PUNCT
fcis-19577	44	26	and	and	CCONJ
fcis-19577	44	27	awith	awith	PROPN
fcis-19577	44	28	inaof	inaof	PROPN
fcis-19577	44	29	hx711	hx711	PART
fcis-19577	44	30	chip	chip	NOUN
fcis-19577	44	31	respectively	respectively	ADV
fcis-19577	44	32	.	.	PUNCT
fcis-19577	45	1	in	in	ADP
fcis-19577	45	2	the	the	DET
fcis-19577	45	3	output	output	NOUN
fcis-19577	45	4	part	part	NOUN
fcis-19577	45	5	of	of	ADP
fcis-19577	45	6	hx711	hx711	PROPN
fcis-19577	45	7	chip	chip	NOUN
fcis-19577	45	8	,	,	PUNCT
fcis-19577	45	9	it	it	PRON
fcis-19577	45	10	is	be	AUX
fcis-19577	45	11	powered	power	VERB
fcis-19577	45	12	by	by	ADP
fcis-19577	45	13	5v	5v	NOUN
fcis-19577	45	14	of	of	ADP
fcis-19577	45	15	mcu	mcu	PROPN
fcis-19577	45	16	and	and	CCONJ
fcis-19577	45	17	connected	connect	VERB
fcis-19577	45	18	with	with	ADP
fcis-19577	45	19	gnd	gnd	PROPN
fcis-19577	45	20	of	of	ADP
fcis-19577	45	21	mcu	mcu	PROPN
fcis-19577	45	22	and	and	CCONJ
fcis-19577	45	23	gnd	gnd	PROPN
fcis-19577	45	24	of	of	ADP
fcis-19577	45	25	hx711	hx711	PROPN
fcis-19577	45	26	.	.	PUNCT
fcis-19577	46	1	pd_sck	pd_sck	PROPN
fcis-19577	46	2	is	be	AUX
fcis-19577	46	3	connected	connect	VERB
fcis-19577	46	4	with	with	ADP
fcis-19577	46	5	io5	io5	NOUN
fcis-19577	46	6	of	of	ADP
fcis-19577	46	7	mcu	mcu	PROPN
fcis-19577	46	8	and	and	CCONJ
fcis-19577	46	9	dout	dout	PROPN
fcis-19577	46	10	is	be	AUX
fcis-19577	46	11	connected	connect	VERB
fcis-19577	46	12	with	with	ADP
fcis-19577	46	13	io6	io6	NOUN
fcis-19577	46	14	of	of	ADP
fcis-19577	46	15	mcu	mcu	NOUN
fcis-19577	46	16	.	.	PUNCT
fcis-19577	47	1	the	the	DET
fcis-19577	47	2	voltage	voltage	NOUN
fcis-19577	47	3	signal	signal	NOUN
fcis-19577	47	4	is	be	AUX
fcis-19577	47	5	converted	convert	VERB
fcis-19577	47	6	into	into	ADP
fcis-19577	47	7	digital	digital	ADJ
fcis-19577	47	8	signal	signal	NOUN
fcis-19577	47	9	by	by	ADP
fcis-19577	47	10	hx711	hx711	NOUN
fcis-19577	47	11	chip	chip	NOUN
fcis-19577	47	12	,	,	PUNCT
fcis-19577	47	13	and	and	CCONJ
fcis-19577	47	14	the	the	DET
fcis-19577	47	15	digital	digital	ADJ
fcis-19577	47	16	signal	signal	NOUN
fcis-19577	47	17	is	be	AUX
fcis-19577	47	18	converted	convert	VERB
fcis-19577	47	19	into	into	ADP
fcis-19577	47	20	real	real	ADJ
fcis-19577	47	21	-	-	PUNCT
fcis-19577	47	22	time	time	NOUN
fcis-19577	47	23	pressure	pressure	NOUN
fcis-19577	47	24	data	datum	NOUN
fcis-19577	47	25	on	on	ADP
fcis-19577	47	26	mcu	mcu	PROPN
fcis-19577	47	27	,	,	PUNCT
fcis-19577	47	28	and	and	CCONJ
fcis-19577	47	29	wifi	wifi	NOUN
fcis-19577	47	30	communication	communication	NOUN
fcis-19577	47	31	is	be	AUX
fcis-19577	47	32	established	establish	VERB
fcis-19577	47	33	with	with	ADP
fcis-19577	47	34	the	the	DET
fcis-19577	47	35	pc	pc	NOUN
fcis-19577	47	36	server	server	NOUN
fcis-19577	47	37	,	,	PUNCT
fcis-19577	47	38	and	and	CCONJ
fcis-19577	47	39	data	datum	NOUN
fcis-19577	47	40	transmission	transmission	NOUN
fcis-19577	47	41	is	be	AUX
fcis-19577	47	42	realized	realize	VERB
fcis-19577	47	43	through	through	ADP
fcis-19577	47	44	socket	socket	NOUN
fcis-19577	47	45	protocol	protocol	NOUN
fcis-19577	47	46	.	.	PUNCT
fcis-19577	48	1	figure	figure	NOUN
fcis-19577	48	2	3	3	NUM
fcis-19577	48	3	shows	show	VERB
fcis-19577	48	4	the	the	DET
fcis-19577	48	5	circuit	circuit	NOUN
fcis-19577	48	6	diagram	diagram	NOUN
fcis-19577	48	7	of	of	ADP
fcis-19577	48	8	the	the	DET
fcis-19577	48	9	sensor	sensor	NOUN
fcis-19577	48	10	module	module	NOUN
fcis-19577	48	11	.	.	PUNCT
fcis-19577	49	1	figure	figure	NOUN
fcis-19577	49	2	3	3	NUM
fcis-19577	49	3	.	.	PUNCT
fcis-19577	49	4	circuit	circuit	NOUN
fcis-19577	49	5	diagram	diagram	NOUN
fcis-19577	49	6	of	of	ADP
fcis-19577	49	7	the	the	DET
fcis-19577	49	8	sensor	sensor	NOUN
fcis-19577	49	9	module	module	NOUN
fcis-19577	49	10	63	63	NUM
fcis-19577	49	11	3	3	NUM
fcis-19577	49	12	.	.	PUNCT
fcis-19577	49	13	main	main	ADJ
fcis-19577	49	14	technologies	technology	NOUN
fcis-19577	49	15	of	of	ADP
fcis-19577	49	16	the	the	DET
fcis-19577	49	17	system	system	NOUN
fcis-19577	49	18	the	the	DET
fcis-19577	49	19	system	system	NOUN
fcis-19577	49	20	is	be	AUX
fcis-19577	49	21	mainly	mainly	ADV
fcis-19577	49	22	divided	divide	VERB
fcis-19577	49	23	into	into	ADP
fcis-19577	49	24	four	four	NUM
fcis-19577	49	25	parts	part	NOUN
fcis-19577	49	26	:	:	PUNCT
fcis-19577	49	27	sensor	sensor	NOUN
fcis-19577	49	28	data	data	NOUN
fcis-19577	49	29	acquisition	acquisition	NOUN
fcis-19577	49	30	,	,	PUNCT
fcis-19577	49	31	video	video	NOUN
fcis-19577	49	32	stream	stream	NOUN
fcis-19577	49	33	data	datum	NOUN
fcis-19577	49	34	acquisition	acquisition	NOUN
fcis-19577	49	35	,	,	PUNCT
fcis-19577	49	36	algorithm	algorithm	NOUN
fcis-19577	49	37	processing	processing	NOUN
fcis-19577	49	38	and	and	CCONJ
fcis-19577	49	39	system	system	NOUN
fcis-19577	49	40	interface	interface	NOUN
fcis-19577	49	41	design	design	NOUN
fcis-19577	49	42	.	.	PUNCT
fcis-19577	50	1	we	we	PRON
fcis-19577	50	2	use	use	VERB
fcis-19577	50	3	wi	wi	PROPN
fcis-19577	50	4	-	-	PUNCT
fcis-19577	50	5	fi	fi	NOUN
fcis-19577	50	6	to	to	PART
fcis-19577	50	7	transmit	transmit	VERB
fcis-19577	50	8	sensor	sensor	NOUN
fcis-19577	50	9	data	datum	NOUN
fcis-19577	50	10	wirelessly	wirelessly	ADV
fcis-19577	50	11	,	,	PUNCT
fcis-19577	50	12	user	user	NOUN
fcis-19577	50	13	datagram	datagram	NOUN
fcis-19577	50	14	protocol	protocol	NOUN
fcis-19577	50	15	(	(	PUNCT
fcis-19577	50	16	udp	udp	NOUN
fcis-19577	50	17	)	)	PUNCT
fcis-19577	50	18	to	to	PART
fcis-19577	50	19	transmit	transmit	VERB
fcis-19577	50	20	video	video	NOUN
fcis-19577	50	21	streams	stream	NOUN
fcis-19577	50	22	,	,	PUNCT
fcis-19577	50	23	yolov8	yolov8	NOUN
fcis-19577	50	24	-	-	PUNCT
fcis-19577	50	25	pose	pose	NOUN
fcis-19577	50	26	algorithm	algorithm	NOUN
fcis-19577	50	27	combined	combine	VERB
fcis-19577	50	28	with	with	ADP
fcis-19577	50	29	gsrf	gsrf	PROPN
fcis-19577	50	30	algorithm	algorithm	NOUN
fcis-19577	50	31	to	to	PART
fcis-19577	50	32	achieve	achieve	VERB
fcis-19577	50	33	real	real	ADJ
fcis-19577	50	34	-	-	PUNCT
fcis-19577	50	35	time	time	NOUN
fcis-19577	50	36	human	human	ADJ
fcis-19577	50	37	body	body	NOUN
fcis-19577	50	38	state	state	NOUN
fcis-19577	50	39	detection	detection	NOUN
fcis-19577	50	40	,	,	PUNCT
fcis-19577	50	41	and	and	CCONJ
fcis-19577	50	42	then	then	ADV
fcis-19577	50	43	upload	upload	VERB
fcis-19577	50	44	the	the	DET
fcis-19577	50	45	results	result	NOUN
fcis-19577	50	46	of	of	ADP
fcis-19577	50	47	the	the	DET
fcis-19577	50	48	detection	detection	NOUN
fcis-19577	50	49	to	to	ADP
fcis-19577	50	50	the	the	DET
fcis-19577	50	51	web	web	NOUN
fcis-19577	50	52	front	front	ADJ
fcis-19577	50	53	-	-	PUNCT
fcis-19577	50	54	end	end	NOUN
fcis-19577	50	55	,	,	PUNCT
fcis-19577	50	56	and	and	CCONJ
fcis-19577	50	57	the	the	DET
fcis-19577	50	58	whole	whole	ADJ
fcis-19577	50	59	system	system	NOUN
fcis-19577	50	60	interface	interface	NOUN
fcis-19577	50	61	is	be	AUX
fcis-19577	50	62	based	base	VERB
fcis-19577	50	63	on	on	ADP
fcis-19577	50	64	the	the	DET
fcis-19577	50	65	development	development	NOUN
fcis-19577	50	66	of	of	ADP
fcis-19577	50	67	websocket	websocket	NOUN
fcis-19577	50	68	technology	technology	NOUN
fcis-19577	50	69	.	.	PUNCT
fcis-19577	51	1	the	the	DET
fcis-19577	51	2	whole	whole	ADJ
fcis-19577	51	3	system	system	NOUN
fcis-19577	51	4	interface	interface	NOUN
fcis-19577	51	5	is	be	AUX
fcis-19577	51	6	developed	develop	VERB
fcis-19577	51	7	based	base	VERB
fcis-19577	51	8	on	on	ADP
fcis-19577	51	9	websocket	websocket	NOUN
fcis-19577	51	10	technology	technology	NOUN
fcis-19577	51	11	.	.	PUNCT
fcis-19577	52	1	3.1	3.1	NUM
fcis-19577	52	2	.	.	PUNCT
fcis-19577	53	1	rtsp	rtsp	NOUN
fcis-19577	53	2	video	video	NOUN
fcis-19577	53	3	streaming	streaming	NOUN
fcis-19577	53	4	to	to	PART
fcis-19577	53	5	meet	meet	VERB
fcis-19577	53	6	the	the	DET
fcis-19577	53	7	real	real	ADJ
fcis-19577	53	8	-	-	PUNCT
fcis-19577	53	9	time	time	NOUN
fcis-19577	53	10	detection	detection	NOUN
fcis-19577	53	11	speed	speed	NOUN
fcis-19577	53	12	in	in	ADP
fcis-19577	53	13	fall	fall	NOUN
fcis-19577	53	14	detection	detection	NOUN
fcis-19577	53	15	,	,	PUNCT
fcis-19577	53	16	the	the	DET
fcis-19577	53	17	best	good	ADJ
fcis-19577	53	18	transmission	transmission	NOUN
fcis-19577	53	19	real	real	ADJ
fcis-19577	53	20	-	-	PUNCT
fcis-19577	53	21	time	time	NOUN
fcis-19577	53	22	video	video	NOUN
fcis-19577	53	23	streaming	streaming	NOUN
fcis-19577	53	24	protocol	protocol	NOUN
fcis-19577	53	25	real	real	ADJ
fcis-19577	53	26	time	time	NOUN
fcis-19577	53	27	streaming	streaming	NOUN
fcis-19577	53	28	protocol	protocol	NOUN
fcis-19577	53	29	(	(	PUNCT
fcis-19577	53	30	rtsp	rtsp	NOUN
fcis-19577	53	31	)	)	PUNCT
fcis-19577	54	1	[	[	X
fcis-19577	54	2	7	7	X
fcis-19577	54	3	]	]	PUNCT
fcis-19577	54	4	is	be	AUX
fcis-19577	54	5	used	use	VERB
fcis-19577	54	6	,	,	PUNCT
fcis-19577	54	7	using	use	VERB
fcis-19577	54	8	the	the	DET
fcis-19577	54	9	open	open	ADJ
fcis-19577	54	10	source	source	NOUN
fcis-19577	54	11	software	software	NOUN
fcis-19577	54	12	ffmpeg	ffmpeg	NOUN
fcis-19577	54	13	to	to	PART
fcis-19577	54	14	push	push	VERB
fcis-19577	54	15	the	the	DET
fcis-19577	54	16	local	local	ADJ
fcis-19577	54	17	camera	camera	NOUN
fcis-19577	54	18	as	as	ADP
fcis-19577	54	19	an	an	DET
fcis-19577	54	20	online	online	ADJ
fcis-19577	54	21	rtsp	rtsp	NOUN
fcis-19577	54	22	video	video	NOUN
fcis-19577	54	23	stream	stream	NOUN
fcis-19577	54	24	,	,	PUNCT
fcis-19577	54	25	and	and	CCONJ
fcis-19577	54	26	building	build	VERB
fcis-19577	54	27	an	an	DET
fcis-19577	54	28	rtsp	rtsp	NOUN
fcis-19577	54	29	on	on	ADP
fcis-19577	54	30	a	a	DET
fcis-19577	54	31	raspberry	raspberry	NOUN
fcis-19577	54	32	pi	pi	NOUN
fcis-19577	54	33	server	server	NOUN
fcis-19577	54	34	on	on	ADP
fcis-19577	54	35	raspberry	raspberry	PROPN
fcis-19577	54	36	pi	pi	NOUN
fcis-19577	54	37	,	,	PUNCT
fcis-19577	54	38	and	and	CCONJ
fcis-19577	54	39	a	a	DET
fcis-19577	54	40	lan	lan	NOUN
fcis-19577	54	41	is	be	AUX
fcis-19577	54	42	built	build	VERB
fcis-19577	54	43	through	through	ADP
fcis-19577	54	44	a	a	DET
fcis-19577	54	45	router	router	NOUN
fcis-19577	54	46	to	to	PART
fcis-19577	54	47	transmit	transmit	VERB
fcis-19577	54	48	the	the	DET
fcis-19577	54	49	image	image	NOUN
fcis-19577	54	50	data	datum	NOUN
fcis-19577	54	51	to	to	ADP
fcis-19577	54	52	the	the	DET
fcis-19577	54	53	pc	pc	NOUN
fcis-19577	54	54	,	,	PUNCT
fcis-19577	54	55	which	which	PRON
fcis-19577	54	56	is	be	AUX
fcis-19577	54	57	then	then	ADV
fcis-19577	54	58	invoked	invoke	VERB
fcis-19577	54	59	by	by	ADP
fcis-19577	54	60	the	the	DET
fcis-19577	54	61	state	state	NOUN
fcis-19577	54	62	detection	detection	NOUN
fcis-19577	54	63	algorithm	algorithm	NOUN
fcis-19577	54	64	.	.	PUNCT
fcis-19577	55	1	3.2	3.2	NUM
fcis-19577	55	2	.	.	PUNCT
fcis-19577	55	3	web	web	NOUN
fcis-19577	55	4	server	server	NOUN
fcis-19577	55	5	design	design	NOUN
fcis-19577	55	6	in	in	ADP
fcis-19577	55	7	this	this	DET
fcis-19577	55	8	paper	paper	NOUN
fcis-19577	55	9	,	,	PUNCT
fcis-19577	55	10	the	the	DET
fcis-19577	55	11	web	web	NOUN
fcis-19577	55	12	interface	interface	NOUN
fcis-19577	55	13	server	server	NOUN
fcis-19577	55	14	with	with	ADP
fcis-19577	55	15	multiarchitecture	multiarchitecture	ADJ
fcis-19577	55	16	mode	mode	NOUN
fcis-19577	55	17	is	be	AUX
fcis-19577	55	18	chosen	choose	VERB
fcis-19577	55	19	as	as	ADP
fcis-19577	55	20	the	the	DET
fcis-19577	55	21	feedback	feedback	NOUN
fcis-19577	55	22	component	component	NOUN
fcis-19577	55	23	of	of	ADP
fcis-19577	55	24	the	the	DET
fcis-19577	55	25	system	system	NOUN
fcis-19577	55	26	,	,	PUNCT
fcis-19577	55	27	and	and	CCONJ
fcis-19577	55	28	the	the	DET
fcis-19577	55	29	server	server	NOUN
fcis-19577	55	30	and	and	CCONJ
fcis-19577	55	31	the	the	DET
fcis-19577	55	32	client	client	NOUN
fcis-19577	55	33	use	use	VERB
fcis-19577	55	34	websocket	websocket	NOUN
fcis-19577	55	35	to	to	PART
fcis-19577	55	36	establish	establish	VERB
fcis-19577	55	37	connection	connection	NOUN
fcis-19577	55	38	and	and	CCONJ
fcis-19577	55	39	transmit	transmit	NOUN
fcis-19577	55	40	data	datum	NOUN
fcis-19577	55	41	,	,	PUNCT
fcis-19577	55	42	the	the	DET
fcis-19577	55	43	image	image	NOUN
fcis-19577	55	44	transmission	transmission	NOUN
fcis-19577	55	45	achieved	achieve	VERB
fcis-19577	55	46	by	by	ADP
fcis-19577	55	47	websocket	websocket	NOUN
fcis-19577	55	48	has	have	VERB
fcis-19577	55	49	real	real	ADJ
fcis-19577	55	50	-	-	PUNCT
fcis-19577	55	51	time	time	NOUN
fcis-19577	55	52	,	,	PUNCT
fcis-19577	55	53	which	which	PRON
fcis-19577	55	54	is	be	AUX
fcis-19577	55	55	suitable	suitable	ADJ
fcis-19577	55	56	for	for	ADP
fcis-19577	55	57	the	the	DET
fcis-19577	55	58	scenarios	scenario	NOUN
fcis-19577	55	59	that	that	PRON
fcis-19577	55	60	require	require	VERB
fcis-19577	55	61	real	real	ADJ
fcis-19577	55	62	-	-	PUNCT
fcis-19577	55	63	time	time	NOUN
fcis-19577	55	64	monitoring	monitoring	NOUN
fcis-19577	55	65	or	or	CCONJ
fcis-19577	55	66	transmission	transmission	NOUN
fcis-19577	55	67	of	of	ADP
fcis-19577	55	68	image	image	NOUN
fcis-19577	55	69	data	datum	NOUN
fcis-19577	55	70	.	.	PUNCT
fcis-19577	56	1	3.3	3.3	NUM
fcis-19577	56	2	.	.	PUNCT
fcis-19577	57	1	state	state	NOUN
fcis-19577	57	2	detection	detection	NOUN
fcis-19577	57	3	algorithms	algorithm	NOUN
fcis-19577	57	4	in	in	ADP
fcis-19577	57	5	order	order	NOUN
fcis-19577	57	6	to	to	PART
fcis-19577	57	7	better	well	ADV
fcis-19577	57	8	meet	meet	VERB
fcis-19577	57	9	the	the	DET
fcis-19577	57	10	real	real	ADJ
fcis-19577	57	11	-	-	PUNCT
fcis-19577	57	12	time	time	NOUN
fcis-19577	57	13	and	and	CCONJ
fcis-19577	57	14	accuracy	accuracy	NOUN
fcis-19577	57	15	of	of	ADP
fcis-19577	57	16	fall	fall	NOUN
fcis-19577	57	17	detection	detection	NOUN
fcis-19577	57	18	for	for	ADP
fcis-19577	57	19	the	the	DET
fcis-19577	57	20	elderly	elderly	ADJ
fcis-19577	57	21	,	,	PUNCT
fcis-19577	57	22	this	this	DET
fcis-19577	57	23	paper	paper	NOUN
fcis-19577	57	24	uses	use	VERB
fcis-19577	57	25	the	the	DET
fcis-19577	57	26	yolov8	yolov8	NOUN
fcis-19577	57	27	algorithm	algorithm	NOUN
fcis-19577	57	28	as	as	ADV
fcis-19577	57	29	well	well	ADV
fcis-19577	57	30	as	as	ADP
fcis-19577	57	31	the	the	DET
fcis-19577	57	32	addition	addition	NOUN
fcis-19577	57	33	of	of	ADP
fcis-19577	57	34	rf	rf	ADJ
fcis-19577	57	35	algorithm	algorithm	NOUN
fcis-19577	57	36	to	to	PART
fcis-19577	57	37	classify	classify	VERB
fcis-19577	57	38	the	the	DET
fcis-19577	57	39	human	human	ADJ
fcis-19577	57	40	body	body	NOUN
fcis-19577	57	41	's	's	PART
fcis-19577	57	42	posture	posture	NOUN
fcis-19577	57	43	.	.	PUNCT
fcis-19577	58	1	yolo	yolo	ADJ
fcis-19577	58	2	target	target	NOUN
fcis-19577	58	3	detection	detection	NOUN
fcis-19577	58	4	algorithm	algorithm	NOUN
fcis-19577	58	5	is	be	AUX
fcis-19577	58	6	an	an	DET
fcis-19577	58	7	end	end	NOUN
fcis-19577	58	8	-	-	PUNCT
fcis-19577	58	9	to	to	ADP
fcis-19577	58	10	-	-	PUNCT
fcis-19577	58	11	end	end	NOUN
fcis-19577	58	12	onestage	onestage	NOUN
fcis-19577	58	13	target	target	NOUN
fcis-19577	58	14	detection	detection	NOUN
fcis-19577	58	15	algorithm	algorithm	NOUN
fcis-19577	58	16	,	,	PUNCT
fcis-19577	58	17	the	the	DET
fcis-19577	58	18	core	core	ADJ
fcis-19577	58	19	idea	idea	NOUN
fcis-19577	58	20	of	of	ADP
fcis-19577	58	21	which	which	PRON
fcis-19577	58	22	is	be	AUX
fcis-19577	58	23	to	to	PART
fcis-19577	58	24	predict	predict	VERB
fcis-19577	58	25	the	the	DET
fcis-19577	58	26	image	image	NOUN
fcis-19577	58	27	in	in	ADP
fcis-19577	58	28	chunks	chunk	NOUN
fcis-19577	58	29	by	by	ADP
fcis-19577	58	30	region	region	NOUN
fcis-19577	58	31	.	.	PUNCT
fcis-19577	59	1	yolo	yolo	PROPN
fcis-19577	59	2	divides	divide	VERB
fcis-19577	59	3	the	the	DET
fcis-19577	59	4	input	input	NOUN
fcis-19577	59	5	image	image	NOUN
fcis-19577	59	6	into	into	ADP
fcis-19577	59	7	grids	grid	NOUN
fcis-19577	59	8	,	,	PUNCT
fcis-19577	59	9	each	each	PRON
fcis-19577	59	10	of	of	ADP
fcis-19577	59	11	which	which	PRON
fcis-19577	59	12	is	be	AUX
fcis-19577	59	13	responsible	responsible	ADJ
fcis-19577	59	14	for	for	ADP
fcis-19577	59	15	predicting	predict	VERB
fcis-19577	59	16	the	the	DET
fcis-19577	59	17	bounding	bounding	NOUN
fcis-19577	59	18	box	box	NOUN
fcis-19577	59	19	containing	contain	VERB
fcis-19577	59	20	the	the	DET
fcis-19577	59	21	target	target	NOUN
fcis-19577	59	22	and	and	CCONJ
fcis-19577	59	23	the	the	DET
fcis-19577	59	24	category	category	NOUN
fcis-19577	59	25	confidence	confidence	NOUN
fcis-19577	59	26	.	.	PUNCT
fcis-19577	60	1	unlike	unlike	ADP
fcis-19577	60	2	traditional	traditional	ADJ
fcis-19577	60	3	two	two	NUM
fcis-19577	60	4	-	-	PUNCT
fcis-19577	60	5	stage	stage	NOUN
fcis-19577	60	6	detection	detection	NOUN
fcis-19577	60	7	algorithms	algorithm	NOUN
fcis-19577	60	8	,	,	PUNCT
fcis-19577	60	9	yolo	yolo	PROPN
fcis-19577	60	10	completes	complete	VERB
fcis-19577	60	11	target	target	NOUN
fcis-19577	60	12	detection	detection	NOUN
fcis-19577	60	13	in	in	ADP
fcis-19577	60	14	a	a	DET
fcis-19577	60	15	single	single	ADJ
fcis-19577	60	16	step	step	NOUN
fcis-19577	60	17	with	with	ADP
fcis-19577	60	18	high	high	ADJ
fcis-19577	60	19	real	real	ADJ
fcis-19577	60	20	-	-	PUNCT
fcis-19577	60	21	time	time	NOUN
fcis-19577	60	22	performance.yolov8	performance.yolov8	NOUN
fcis-19577	60	23	makes	make	VERB
fcis-19577	60	24	significant	significant	ADJ
fcis-19577	60	25	progress	progress	NOUN
fcis-19577	60	26	in	in	ADP
fcis-19577	60	27	the	the	DET
fcis-19577	60	28	field	field	NOUN
fcis-19577	60	29	of	of	ADP
fcis-19577	60	30	target	target	NOUN
fcis-19577	60	31	detection	detection	NOUN
fcis-19577	60	32	by	by	ADP
fcis-19577	60	33	automatically	automatically	ADV
fcis-19577	60	34	learning	learn	VERB
fcis-19577	60	35	and	and	CCONJ
fcis-19577	60	36	extracting	extract	VERB
fcis-19577	60	37	more	more	ADJ
fcis-19577	60	38	representative	representative	ADJ
fcis-19577	60	39	features	feature	NOUN
fcis-19577	60	40	through	through	ADP
fcis-19577	60	41	a	a	DET
fcis-19577	60	42	pre	pre	ADJ
fcis-19577	60	43	-	-	ADJ
fcis-19577	60	44	trained	train	VERB
fcis-19577	60	45	deep	deep	ADJ
fcis-19577	60	46	neural	neural	ADJ
fcis-19577	60	47	network	network	NOUN
fcis-19577	60	48	.	.	PUNCT
fcis-19577	61	1	compared	compare	VERB
fcis-19577	61	2	to	to	ADP
fcis-19577	61	3	traditional	traditional	ADJ
fcis-19577	61	4	methods	method	NOUN
fcis-19577	61	5	,	,	PUNCT
fcis-19577	61	6	yolov8	yolov8	NOUN
fcis-19577	61	7	performs	perform	VERB
fcis-19577	61	8	better	well	ADV
fcis-19577	61	9	in	in	ADP
fcis-19577	61	10	dealing	deal	VERB
fcis-19577	61	11	with	with	ADP
fcis-19577	61	12	occlusion	occlusion	NOUN
fcis-19577	61	13	and	and	CCONJ
fcis-19577	61	14	multi	multi	ADJ
fcis-19577	61	15	-	-	ADJ
fcis-19577	61	16	person	person	ADJ
fcis-19577	61	17	scenes	scene	NOUN
fcis-19577	61	18	,	,	PUNCT
fcis-19577	61	19	thus	thus	ADV
fcis-19577	61	20	improving	improve	VERB
fcis-19577	61	21	the	the	DET
fcis-19577	61	22	accuracy	accuracy	NOUN
fcis-19577	61	23	of	of	ADP
fcis-19577	61	24	human	human	ADJ
fcis-19577	61	25	pose	pose	NOUN
fcis-19577	61	26	recognition	recognition	NOUN
fcis-19577	61	27	.	.	PUNCT
fcis-19577	62	1	3.4	3.4	NUM
fcis-19577	62	2	.	.	PUNCT
fcis-19577	62	3	gsrf	gsrf	PROPN
fcis-19577	62	4	algorithm	algorithm	PROPN
fcis-19577	62	5	the	the	DET
fcis-19577	62	6	gsrf	gsrf	PROPN
fcis-19577	62	7	algorithm	algorithm	NOUN
fcis-19577	62	8	consists	consist	VERB
fcis-19577	62	9	of	of	ADP
fcis-19577	62	10	a	a	DET
fcis-19577	62	11	random	random	ADJ
fcis-19577	62	12	forest	forest	NOUN
fcis-19577	62	13	algorithm	algorithm	NOUN
fcis-19577	62	14	and	and	CCONJ
fcis-19577	62	15	a	a	DET
fcis-19577	62	16	grid	grid	NOUN
fcis-19577	62	17	search	search	NOUN
fcis-19577	62	18	algorithm	algorithm	NOUN
fcis-19577	62	19	.	.	PUNCT
fcis-19577	63	1	random	random	ADJ
fcis-19577	63	2	forest	forest	NOUN
fcis-19577	63	3	is	be	AUX
fcis-19577	63	4	an	an	DET
fcis-19577	63	5	integrated	integrate	VERB
fcis-19577	63	6	learning	learning	NOUN
fcis-19577	63	7	algorithm	algorithm	NOUN
fcis-19577	63	8	based	base	VERB
fcis-19577	63	9	on	on	ADP
fcis-19577	63	10	the	the	DET
fcis-19577	63	11	concept	concept	NOUN
fcis-19577	63	12	of	of	ADP
fcis-19577	63	13	labelling	labelling	NOUN
fcis-19577	63	14	and	and	CCONJ
fcis-19577	63	15	decision	decision	NOUN
fcis-19577	63	16	trees	tree	NOUN
fcis-19577	63	17	,	,	PUNCT
fcis-19577	63	18	originally	originally	ADV
fcis-19577	63	19	proposed	propose	VERB
fcis-19577	63	20	by	by	ADP
fcis-19577	63	21	bell	bell	PROPN
fcis-19577	63	22	labs	labs	PROPN
fcis-19577	63	23	,	,	PUNCT
fcis-19577	63	24	usa	usa	PROPN
fcis-19577	63	25	.	.	PUNCT
fcis-19577	64	1	the	the	DET
fcis-19577	64	2	basic	basic	ADJ
fcis-19577	64	3	building	building	NOUN
fcis-19577	64	4	block	block	NOUN
fcis-19577	64	5	of	of	ADP
fcis-19577	64	6	random	random	ADJ
fcis-19577	64	7	forest	forest	NOUN
fcis-19577	64	8	is	be	AUX
fcis-19577	64	9	the	the	DET
fcis-19577	64	10	classification	classification	NOUN
fcis-19577	64	11	decision	decision	NOUN
fcis-19577	64	12	tree	tree	NOUN
fcis-19577	64	13	.	.	PUNCT
fcis-19577	65	1	random	random	ADJ
fcis-19577	65	2	forest	forest	NOUN
fcis-19577	65	3	constructs	construct	VERB
fcis-19577	65	4	multiple	multiple	ADJ
fcis-19577	65	5	decision	decision	NOUN
fcis-19577	65	6	trees	tree	NOUN
fcis-19577	65	7	randomly	randomly	ADV
fcis-19577	65	8	by	by	ADP
fcis-19577	65	9	modelling	modelling	NOUN
fcis-19577	65	10	and	and	CCONJ
fcis-19577	65	11	classifying	classify	VERB
fcis-19577	65	12	the	the	DET
fcis-19577	65	13	data	datum	NOUN
fcis-19577	65	14	.	.	PUNCT
fcis-19577	66	1	after	after	ADP
fcis-19577	66	2	training	training	NOUN
fcis-19577	66	3	,	,	PUNCT
fcis-19577	66	4	the	the	DET
fcis-19577	66	5	final	final	ADJ
fcis-19577	66	6	result	result	NOUN
fcis-19577	66	7	is	be	AUX
fcis-19577	66	8	determined	determine	VERB
fcis-19577	66	9	by	by	ADP
fcis-19577	66	10	combining	combine	VERB
fcis-19577	66	11	the	the	DET
fcis-19577	66	12	output	output	NOUN
fcis-19577	66	13	results	result	VERB
fcis-19577	66	14	through	through	ADP
fcis-19577	66	15	weighted	weighted	ADJ
fcis-19577	66	16	voting	voting	NOUN
fcis-19577	66	17	.	.	PUNCT
fcis-19577	67	1	unlike	unlike	ADP
fcis-19577	67	2	traditional	traditional	ADJ
fcis-19577	67	3	random	random	ADJ
fcis-19577	67	4	forest	forest	NOUN
fcis-19577	67	5	algorithms	algorithm	NOUN
fcis-19577	67	6	,	,	PUNCT
fcis-19577	67	7	the	the	DET
fcis-19577	67	8	grid	grid	NOUN
fcis-19577	67	9	search	search	NOUN
fcis-19577	67	10	random	random	ADJ
fcis-19577	67	11	forest	forest	NOUN
fcis-19577	67	12	(	(	PUNCT
fcis-19577	67	13	gsrf	gsrf	NOUN
fcis-19577	67	14	)	)	PUNCT
fcis-19577	67	15	algorithm	algorithm	PROPN
fcis-19577	67	16	uses	use	VERB
fcis-19577	67	17	the	the	DET
fcis-19577	67	18	optimal	optimal	ADJ
fcis-19577	67	19	combination	combination	NOUN
fcis-19577	67	20	of	of	ADP
fcis-19577	67	21	hyperparameters	hyperparameter	NOUN
fcis-19577	67	22	for	for	ADP
fcis-19577	67	23	training	training	NOUN
fcis-19577	67	24	and	and	CCONJ
fcis-19577	67	25	prediction	prediction	NOUN
fcis-19577	67	26	of	of	ADP
fcis-19577	67	27	the	the	DET
fcis-19577	67	28	random	random	ADJ
fcis-19577	67	29	forest	forest	NOUN
fcis-19577	67	30	model	model	NOUN
fcis-19577	67	31	,	,	PUNCT
fcis-19577	67	32	which	which	PRON
fcis-19577	67	33	significantly	significantly	ADV
fcis-19577	67	34	improves	improve	VERB
fcis-19577	67	35	its	its	PRON
fcis-19577	67	36	performance	performance	NOUN
fcis-19577	67	37	and	and	CCONJ
fcis-19577	67	38	alleviates	alleviate	VERB
fcis-19577	67	39	problems	problem	NOUN
fcis-19577	67	40	such	such	ADJ
fcis-19577	67	41	as	as	ADP
fcis-19577	67	42	overfitting	overfitte	VERB
fcis-19577	67	43	or	or	CCONJ
fcis-19577	67	44	underfitting	underfitting	NOUN
fcis-19577	67	45	,	,	PUNCT
fcis-19577	67	46	and	and	CCONJ
fcis-19577	67	47	enables	enable	VERB
fcis-19577	67	48	human	human	ADJ
fcis-19577	67	49	posture	posture	NOUN
fcis-19577	67	50	classification	classification	NOUN
fcis-19577	67	51	.	.	PUNCT
fcis-19577	68	1	the	the	DET
fcis-19577	68	2	algorithmic	algorithmic	ADJ
fcis-19577	68	3	workflow	workflow	NOUN
fcis-19577	68	4	of	of	ADP
fcis-19577	68	5	the	the	DET
fcis-19577	68	6	gsrf	gsrf	NOUN
fcis-19577	68	7	is	be	AUX
fcis-19577	68	8	shown	show	VERB
fcis-19577	68	9	in	in	ADP
fcis-19577	68	10	figure	figure	NOUN
fcis-19577	68	11	4	4	NUM
fcis-19577	68	12	.	.	PUNCT
fcis-19577	68	13	figure	figure	VERB
fcis-19577	68	14	4	4	NUM
fcis-19577	68	15	.	.	PUNCT
fcis-19577	69	1	the	the	DET
fcis-19577	69	2	working	work	VERB
fcis-19577	69	3	flow	flow	NOUN
fcis-19577	69	4	diagram	diagram	NOUN
fcis-19577	69	5	of	of	ADP
fcis-19577	69	6	the	the	DET
fcis-19577	69	7	gsrf	gsrf	PROPN
fcis-19577	69	8	algorithm	algorithm	PROPN
fcis-19577	69	9	3.5	3.5	NUM
fcis-19577	69	10	.	.	PUNCT
fcis-19577	69	11	size	size	NOUN
fcis-19577	69	12	adaptive	adaptive	ADJ
fcis-19577	69	13	input	input	NOUN
fcis-19577	69	14	algorithm	algorithm	NOUN
fcis-19577	69	15	in	in	ADP
fcis-19577	69	16	order	order	NOUN
fcis-19577	69	17	to	to	PART
fcis-19577	69	18	make	make	VERB
fcis-19577	69	19	the	the	DET
fcis-19577	69	20	image	image	NOUN
fcis-19577	69	21	have	have	VERB
fcis-19577	69	22	a	a	DET
fcis-19577	69	23	uniform	uniform	ADJ
fcis-19577	69	24	scale	scale	NOUN
fcis-19577	69	25	,	,	PUNCT
fcis-19577	69	26	it	it	PRON
fcis-19577	69	27	is	be	AUX
fcis-19577	69	28	necessary	necessary	ADJ
fcis-19577	69	29	to	to	PART
fcis-19577	69	30	carry	carry	VERB
fcis-19577	69	31	out	out	ADP
fcis-19577	69	32	the	the	DET
fcis-19577	69	33	size	size	NOUN
fcis-19577	69	34	adaptive	adaptive	ADJ
fcis-19577	69	35	operation	operation	NOUN
fcis-19577	69	36	,	,	PUNCT
fcis-19577	69	37	at	at	ADP
fcis-19577	69	38	the	the	DET
fcis-19577	69	39	same	same	ADJ
fcis-19577	69	40	time	time	NOUN
fcis-19577	69	41	,	,	PUNCT
fcis-19577	69	42	in	in	ADP
fcis-19577	69	43	order	order	NOUN
fcis-19577	69	44	to	to	PART
fcis-19577	69	45	cope	cope	VERB
fcis-19577	69	46	with	with	ADP
fcis-19577	69	47	the	the	DET
fcis-19577	69	48	problem	problem	NOUN
fcis-19577	69	49	of	of	ADP
fcis-19577	69	50	decreasing	decrease	VERB
fcis-19577	69	51	the	the	DET
fcis-19577	69	52	intensity	intensity	NOUN
fcis-19577	69	53	of	of	ADP
fcis-19577	69	54	the	the	DET
fcis-19577	69	55	image	image	NOUN
fcis-19577	69	56	features	feature	VERB
fcis-19577	69	57	after	after	ADP
fcis-19577	69	58	the	the	DET
fcis-19577	69	59	operation	operation	NOUN
fcis-19577	69	60	,	,	PUNCT
fcis-19577	69	61	and	and	CCONJ
fcis-19577	69	62	to	to	PART
fcis-19577	69	63	stabilise	stabilise	VERB
fcis-19577	69	64	the	the	DET
fcis-19577	69	65	detection	detection	NOUN
fcis-19577	69	66	accuracy	accuracy	NOUN
fcis-19577	69	67	of	of	ADP
fcis-19577	69	68	the	the	DET
fcis-19577	69	69	model	model	NOUN
fcis-19577	69	70	,	,	PUNCT
fcis-19577	69	71	it	it	PRON
fcis-19577	69	72	is	be	AUX
fcis-19577	69	73	necessary	necessary	ADJ
fcis-19577	69	74	to	to	PART
fcis-19577	69	75	carry	carry	VERB
fcis-19577	69	76	out	out	ADP
fcis-19577	69	77	the	the	DET
fcis-19577	69	78	enhancement	enhancement	NOUN
fcis-19577	69	79	processing	processing	NOUN
fcis-19577	69	80	of	of	ADP
fcis-19577	69	81	the	the	DET
fcis-19577	69	82	image	image	NOUN
fcis-19577	69	83	first	first	ADV
fcis-19577	69	84	.	.	PUNCT
fcis-19577	70	1	image	image	NOUN
fcis-19577	70	2	enhancement	enhancement	NOUN
fcis-19577	70	3	is	be	AUX
fcis-19577	70	4	first	first	ADV
fcis-19577	70	5	standardised	standardise	VERB
fcis-19577	70	6	,	,	PUNCT
fcis-19577	70	7	and	and	CCONJ
fcis-19577	70	8	common	common	ADJ
fcis-19577	70	9	standardisation	standardisation	NOUN
fcis-19577	70	10	methods	method	NOUN
fcis-19577	70	11	include	include	VERB
fcis-19577	70	12	mean	mean	ADJ
fcis-19577	70	13	-	-	PUNCT
fcis-19577	70	14	variance	variance	NOUN
fcis-19577	70	15	normalization	normalization	NOUN
fcis-19577	70	16	[	[	X
fcis-19577	70	17	8	8	NUM
fcis-19577	70	18	]	]	PUNCT
fcis-19577	70	19	,	,	PUNCT
fcis-19577	70	20	histogram	histogram	NOUN
fcis-19577	70	21	equalisation	equalisation	NOUN
fcis-19577	70	22	[	[	X
fcis-19577	70	23	9	9	NUM
fcis-19577	70	24	]	]	PUNCT
fcis-19577	70	25	,	,	PUNCT
fcis-19577	70	26	etc	etc	X
fcis-19577	70	27	.	.	X
fcis-19577	71	1	in	in	ADP
fcis-19577	71	2	this	this	DET
fcis-19577	71	3	paper	paper	NOUN
fcis-19577	71	4	,	,	PUNCT
fcis-19577	71	5	the	the	DET
fcis-19577	71	6	mean	mean	ADJ
fcis-19577	71	7	-	-	PUNCT
fcis-19577	71	8	variance	variance	NOUN
fcis-19577	71	9	normalisation	normalisation	NOUN
fcis-19577	71	10	method	method	NOUN
fcis-19577	71	11	is	be	AUX
fcis-19577	71	12	used	use	VERB
fcis-19577	71	13	.	.	PUNCT
fcis-19577	72	1	mean	mean	ADJ
fcis-19577	72	2	-	-	PUNCT
fcis-19577	72	3	variance	variance	NOUN
fcis-19577	72	4	normalisation	normalisation	NOUN
fcis-19577	72	5	(	(	PUNCT
fcis-19577	72	6	z	z	NOUN
fcis-19577	72	7	-	-	PUNCT
fcis-19577	72	8	score	score	NOUN
fcis-19577	72	9	normalization	normalization	NOUN
fcis-19577	72	10	)	)	PUNCT
fcis-19577	72	11	is	be	AUX
fcis-19577	72	12	the	the	DET
fcis-19577	72	13	process	process	NOUN
fcis-19577	72	14	of	of	ADP
fcis-19577	72	15	assigning	assign	VERB
fcis-19577	72	16	all	all	DET
fcis-19577	72	17	data	datum	NOUN
fcis-19577	72	18	to	to	ADP
fcis-19577	72	19	a	a	DET
fcis-19577	72	20	distribution	distribution	NOUN
fcis-19577	72	21	with	with	ADP
fcis-19577	72	22	mean	mean	NOUN
fcis-19577	72	23	0	0	NUM
fcis-19577	72	24	and	and	CCONJ
fcis-19577	72	25	variance	variance	NOUN
fcis-19577	72	26	1	1	NUM
fcis-19577	72	27	,	,	PUNCT
fcis-19577	72	28	calculated	calculate	VERB
fcis-19577	72	29	as	as	SCONJ
fcis-19577	72	30	shown	show	VERB
fcis-19577	72	31	in	in	ADP
fcis-19577	72	32	eq	eq	ADP
fcis-19577	72	33	.	.	PUNCT
fcis-19577	73	1	(	(	PUNCT
fcis-19577	73	2	1	1	NUM
fcis-19577	73	3	)	)	PUNCT
fcis-19577	73	4	.	.	PUNCT
fcis-19577	74	1	:	:	PUNCT
fcis-19577	74	2	64	64	NUM
fcis-19577	74	3	scale	scale	NOUN
fcis-19577	74	4	x	x	PUNCT
fcis-19577	74	5	u	u	NOUN
fcis-19577	74	6	x	x	X
fcis-19577	74	7	s	s	PROPN
fcis-19577	74	8			PROPN
fcis-19577	74	9			NUM
fcis-19577	74	10	(	(	PUNCT
fcis-19577	74	11	1	1	NUM
fcis-19577	74	12	)	)	PUNCT
fcis-19577	74	13	where	where	SCONJ
fcis-19577	74	14	is	be	AUX
fcis-19577	74	15	the	the	DET
fcis-19577	74	16	normalised	normalise	VERB
fcis-19577	74	17	value	value	NOUN
fcis-19577	74	18	,	,	PUNCT
fcis-19577	74	19	is	be	AUX
fcis-19577	74	20	the	the	DET
fcis-19577	74	21	value	value	NOUN
fcis-19577	74	22	to	to	PART
fcis-19577	74	23	be	be	AUX
fcis-19577	74	24	normalised	normalise	VERB
fcis-19577	74	25	,	,	PUNCT
fcis-19577	74	26	is	be	AUX
fcis-19577	74	27	the	the	DET
fcis-19577	74	28	mean	mean	ADJ
fcis-19577	74	29	value	value	NOUN
fcis-19577	74	30	of	of	ADP
fcis-19577	74	31	the	the	DET
fcis-19577	74	32	image	image	NOUN
fcis-19577	74	33	pixels	pixel	NOUN
fcis-19577	74	34	,	,	PUNCT
fcis-19577	74	35	is	be	AUX
fcis-19577	74	36	the	the	DET
fcis-19577	74	37	standard	standard	ADJ
fcis-19577	74	38	deviation	deviation	NOUN
fcis-19577	74	39	of	of	ADP
fcis-19577	74	40	the	the	DET
fcis-19577	74	41	image	image	NOUN
fcis-19577	74	42	,	,	PUNCT
fcis-19577	74	43	and	and	CCONJ
fcis-19577	74	44	the	the	DET
fcis-19577	74	45	standard	standard	ADJ
fcis-19577	74	46	deviation	deviation	NOUN
fcis-19577	74	47	is	be	AUX
fcis-19577	74	48	calculated	calculate	VERB
fcis-19577	74	49	as	as	SCONJ
fcis-19577	74	50	shown	show	VERB
fcis-19577	74	51	in	in	ADP
fcis-19577	74	52	eq	eq	ADP
fcis-19577	74	53	.	.	PUNCT
fcis-19577	75	1	(	(	PUNCT
fcis-19577	75	2	2	2	X
fcis-19577	75	3	)	)	PUNCT
fcis-19577	75	4	as	as	SCONJ
fcis-19577	75	5	follows	follow	VERB
fcis-19577	75	6	:	:	PUNCT
fcis-19577	76	1	1.0	1.0	NUM
fcis-19577	76	2	max	max	NOUN
fcis-19577	76	3	(	(	PUNCT
fcis-19577	76	4	,	,	PUNCT
fcis-19577	76	5	)	)	PUNCT
fcis-19577	76	6	s	s	PART
fcis-19577	76	7	n	n	PRON
fcis-19577	76	8			NOUN
fcis-19577	76	9			X
fcis-19577	76	10	(	(	PUNCT
fcis-19577	76	11	2	2	NUM
fcis-19577	76	12	)	)	PUNCT
fcis-19577	76	13	where	where	SCONJ
fcis-19577	76	14	is	be	AUX
fcis-19577	76	15	the	the	DET
fcis-19577	76	16	standard	standard	ADJ
fcis-19577	76	17	variance	variance	NOUN
fcis-19577	76	18	and	and	CCONJ
fcis-19577	76	19	is	be	AUX
fcis-19577	76	20	the	the	DET
fcis-19577	76	21	number	number	NOUN
fcis-19577	76	22	of	of	ADP
fcis-19577	76	23	pixels	pixel	NOUN
fcis-19577	76	24	in	in	ADP
fcis-19577	76	25	the	the	DET
fcis-19577	76	26	image	image	NOUN
fcis-19577	76	27	.	.	PUNCT
fcis-19577	77	1	the	the	DET
fcis-19577	77	2	normalisation	normalisation	NOUN
fcis-19577	77	3	process	process	NOUN
fcis-19577	77	4	is	be	AUX
fcis-19577	77	5	followed	follow	VERB
fcis-19577	77	6	by	by	ADP
fcis-19577	77	7	normalisation	normalisation	NOUN
fcis-19577	77	8	to	to	PART
fcis-19577	77	9	map	map	VERB
fcis-19577	77	10	the	the	DET
fcis-19577	77	11	original	original	ADJ
fcis-19577	77	12	data	datum	NOUN
fcis-19577	77	13	onto	onto	ADP
fcis-19577	77	14	the	the	DET
fcis-19577	77	15	[	[	X
fcis-19577	77	16	0	0	NUM
fcis-19577	77	17	,	,	PUNCT
fcis-19577	77	18	1	1	NUM
fcis-19577	77	19	]	]	PUNCT
fcis-19577	77	20	interval	interval	NOUN
fcis-19577	77	21	to	to	PART
fcis-19577	77	22	obtain	obtain	VERB
fcis-19577	77	23	the	the	DET
fcis-19577	77	24	image	image	NOUN
fcis-19577	77	25	,	,	PUNCT
fcis-19577	77	26	calculated	calculate	VERB
fcis-19577	77	27	as	as	SCONJ
fcis-19577	77	28	shown	show	VERB
fcis-19577	77	29	in	in	ADP
fcis-19577	77	30	eq	eq	ADP
fcis-19577	77	31	.	.	PUNCT
fcis-19577	78	1	(	(	PUNCT
fcis-19577	78	2	3	3	NUM
fcis-19577	78	3	):	):	PUNCT
fcis-19577	78	4	min	min	NOUN
fcis-19577	78	5	(	(	PUNCT
fcis-19577	78	6	)	)	PUNCT
fcis-19577	78	7	max	max	PROPN
fcis-19577	78	8	(	(	PUNCT
fcis-19577	78	9	)	)	PUNCT
fcis-19577	78	10	min	min	NOUN
fcis-19577	78	11	(	(	PUNCT
fcis-19577	78	12	)	)	PUNCT
fcis-19577	78	13	ix	ix	ADP
fcis-19577	78	14	x	x	X
fcis-19577	78	15	z	z	NOUN
fcis-19577	78	16	x	x	PUNCT
fcis-19577	78	17	x	x	SYM
fcis-19577	78	18			PROPN
fcis-19577	78	19			NUM
fcis-19577	78	20			NOUN
fcis-19577	78	21	(	(	PUNCT
fcis-19577	78	22	3	3	NUM
fcis-19577	78	23	)	)	PUNCT
fcis-19577	78	24	where	where	SCONJ
fcis-19577	78	25	xi	xi	PROPN
fcis-19577	78	26	is	be	AUX
fcis-19577	78	27	the	the	DET
fcis-19577	78	28	value	value	NOUN
fcis-19577	78	29	of	of	ADP
fcis-19577	78	30	the	the	DET
fcis-19577	78	31	image	image	NOUN
fcis-19577	78	32	pixel	pixel	NOUN
fcis-19577	78	33	point	point	NOUN
fcis-19577	78	34	,	,	PUNCT
fcis-19577	78	35	max	max	PROPN
fcis-19577	78	36	and	and	CCONJ
fcis-19577	78	37	min	min	PROPN
fcis-19577	78	38	are	be	AUX
fcis-19577	78	39	the	the	DET
fcis-19577	78	40	maximum	maximum	ADJ
fcis-19577	78	41	and	and	CCONJ
fcis-19577	78	42	minimum	minimum	ADJ
fcis-19577	78	43	values	value	NOUN
fcis-19577	78	44	of	of	ADP
fcis-19577	78	45	the	the	DET
fcis-19577	78	46	image	image	NOUN
fcis-19577	78	47	pixel	pixel	NOUN
fcis-19577	78	48	point	point	NOUN
fcis-19577	78	49	respectively	respectively	ADV
fcis-19577	78	50	.	.	PUNCT
fcis-19577	79	1	the	the	DET
fcis-19577	79	2	normalised	normalise	VERB
fcis-19577	79	3	image	image	NOUN
fcis-19577	79	4	is	be	AUX
fcis-19577	79	5	scaled	scale	VERB
fcis-19577	79	6	and	and	CCONJ
fcis-19577	79	7	fixed	fix	VERB
fcis-19577	79	8	to	to	ADP
fcis-19577	79	9	640×640	640×640	NUM
fcis-19577	79	10	pixels	pixel	NOUN
fcis-19577	79	11	,	,	PUNCT
fcis-19577	79	12	the	the	DET
fcis-19577	79	13	calculation	calculation	NOUN
fcis-19577	79	14	process	process	NOUN
fcis-19577	79	15	is	be	AUX
fcis-19577	79	16	as	as	SCONJ
fcis-19577	79	17	follows	follow	VERB
fcis-19577	79	18	according	accord	VERB
fcis-19577	79	19	to	to	ADP
fcis-19577	79	20	the	the	DET
fcis-19577	79	21	target	target	NOUN
fcis-19577	79	22	size	size	NOUN
fcis-19577	79	23	and	and	CCONJ
fcis-19577	79	24	the	the	DET
fcis-19577	79	25	size	size	NOUN
fcis-19577	79	26	of	of	ADP
fcis-19577	79	27	the	the	DET
fcis-19577	79	28	original	original	ADJ
fcis-19577	79	29	image	image	NOUN
fcis-19577	79	30	,	,	PUNCT
fcis-19577	79	31	calculate	calculate	VERB
fcis-19577	79	32	the	the	DET
fcis-19577	79	33	proportion	proportion	NOUN
fcis-19577	79	34	of	of	ADP
fcis-19577	79	35	the	the	DET
fcis-19577	79	36	required	required	ADJ
fcis-19577	79	37	scaling	scaling	NOUN
fcis-19577	79	38	,	,	PUNCT
fcis-19577	79	39	which	which	PRON
fcis-19577	79	40	can	can	AUX
fcis-19577	79	41	be	be	AUX
fcis-19577	79	42	based	base	VERB
fcis-19577	79	43	on	on	ADP
fcis-19577	79	44	the	the	DET
fcis-19577	79	45	proportion	proportion	NOUN
fcis-19577	79	46	of	of	ADP
fcis-19577	79	47	the	the	DET
fcis-19577	79	48	long	long	ADJ
fcis-19577	79	49	side	side	NOUN
fcis-19577	79	50	or	or	CCONJ
fcis-19577	79	51	the	the	DET
fcis-19577	79	52	short	short	ADJ
fcis-19577	79	53	side	side	NOUN
fcis-19577	79	54	.	.	PUNCT
fcis-19577	80	1	as	as	SCONJ
fcis-19577	80	2	shown	show	VERB
fcis-19577	80	3	in	in	ADP
fcis-19577	80	4	eq	eq	ADP
fcis-19577	80	5	.	.	PUNCT
fcis-19577	81	1	(	(	PUNCT
fcis-19577	81	2	4	4	NUM
fcis-19577	81	3	)	)	PUNCT
fcis-19577	81	4	,	,	PUNCT
fcis-19577	81	5	eq	eq	NOUN
fcis-19577	81	6	.	.	PUNCT
fcis-19577	82	1	(	(	PUNCT
fcis-19577	82	2	5	5	NUM
fcis-19577	82	3	):	):	SYM
fcis-19577	82	4	1	1	NUM
fcis-19577	82	5	max	max	PROPN
fcis-19577	82	6	(	(	PUNCT
fcis-19577	82	7	,	,	PUNCT
fcis-19577	82	8	)	)	PUNCT
fcis-19577	82	9	w	w	NOUN
fcis-19577	82	10	h	h	NOUN
fcis-19577	82	11	scale	scale	NOUN
fcis-19577	82	12	w	w	NOUN
fcis-19577	82	13	h	h	NOUN
fcis-19577	82	14			NOUN
fcis-19577	82	15	(	(	PUNCT
fcis-19577	82	16	4	4	NUM
fcis-19577	82	17	)	)	SYM
fcis-19577	82	18	2	2	NUM
fcis-19577	82	19	max	max	PROPN
fcis-19577	82	20	(	(	PUNCT
fcis-19577	82	21	,	,	PUNCT
fcis-19577	82	22	)	)	PUNCT
fcis-19577	82	23	w	w	NOUN
fcis-19577	82	24	h	h	NOUN
fcis-19577	82	25	scale	scale	NOUN
fcis-19577	82	26	w	w	NOUN
fcis-19577	82	27	h	h	NOUN
fcis-19577	82	28			NOUN
fcis-19577	82	29	(	(	PUNCT
fcis-19577	82	30	5	5	NUM
fcis-19577	82	31	)	)	PUNCT
fcis-19577	82	32	where	where	SCONJ
fcis-19577	82	33	is	be	AUX
fcis-19577	82	34	the	the	DET
fcis-19577	82	35	long	long	ADJ
fcis-19577	82	36	side	side	NOUN
fcis-19577	82	37	scaling	scale	VERB
fcis-19577	82	38	ratio	ratio	NOUN
fcis-19577	82	39	,	,	PUNCT
fcis-19577	82	40	is	be	AUX
fcis-19577	82	41	the	the	DET
fcis-19577	82	42	short	short	ADJ
fcis-19577	82	43	side	side	NOUN
fcis-19577	82	44	scaling	scale	VERB
fcis-19577	82	45	ratio	ratio	NOUN
fcis-19577	82	46	,	,	PUNCT
fcis-19577	82	47	is	be	AUX
fcis-19577	82	48	the	the	DET
fcis-19577	82	49	target	target	NOUN
fcis-19577	82	50	image	image	NOUN
fcis-19577	82	51	,	,	PUNCT
fcis-19577	82	52	is	be	AUX
fcis-19577	82	53	the	the	DET
fcis-19577	82	54	length	length	NOUN
fcis-19577	82	55	of	of	ADP
fcis-19577	82	56	image	image	NOUN
fcis-19577	82	57	,	,	PUNCT
fcis-19577	82	58	is	be	AUX
fcis-19577	82	59	the	the	DET
fcis-19577	82	60	height	height	NOUN
fcis-19577	82	61	of	of	ADP
fcis-19577	82	62	the	the	DET
fcis-19577	82	63	target	target	NOUN
fcis-19577	82	64	image	image	NOUN
fcis-19577	82	65	and	and	CCONJ
fcis-19577	82	66	is	be	AUX
fcis-19577	82	67	the	the	DET
fcis-19577	82	68	height	height	NOUN
fcis-19577	82	69	of	of	ADP
fcis-19577	82	70	image	image	NOUN
fcis-19577	82	71	.	.	PUNCT
fcis-19577	83	1	4	4	X
fcis-19577	83	2	.	.	X
fcis-19577	83	3	experiments	experiment	NOUN
fcis-19577	83	4	and	and	CCONJ
fcis-19577	83	5	analysis	analysis	NOUN
fcis-19577	83	6	of	of	ADP
fcis-19577	83	7	results	result	NOUN
fcis-19577	83	8	4.1	4.1	NUM
fcis-19577	83	9	.	.	PUNCT
fcis-19577	84	1	dataset	dataset	NOUN
fcis-19577	84	2	and	and	CCONJ
fcis-19577	84	3	experimental	experimental	ADJ
fcis-19577	84	4	environment	environment	NOUN
fcis-19577	84	5	the	the	DET
fcis-19577	84	6	training	training	NOUN
fcis-19577	84	7	dataset	dataset	NOUN
fcis-19577	84	8	of	of	ADP
fcis-19577	84	9	yolov8	yolov8	NOUN
fcis-19577	84	10	-	-	PUNCT
fcis-19577	84	11	pose	pose	NOUN
fcis-19577	84	12	model	model	NOUN
fcis-19577	84	13	is	be	AUX
fcis-19577	84	14	used	use	VERB
fcis-19577	84	15	coco2017	coco2017	PROPN
fcis-19577	84	16	dataset	dataset	NOUN
fcis-19577	84	17	and	and	CCONJ
fcis-19577	84	18	the	the	DET
fcis-19577	84	19	dataset	dataset	NOUN
fcis-19577	84	20	has	have	AUX
fcis-19577	84	21	been	be	AUX
fcis-19577	84	22	labelled	label	VERB
fcis-19577	84	23	with	with	ADP
fcis-19577	84	24	key	key	ADJ
fcis-19577	84	25	points	point	NOUN
fcis-19577	84	26	.	.	PUNCT
fcis-19577	85	1	the	the	DET
fcis-19577	85	2	experimental	experimental	ADJ
fcis-19577	85	3	environment	environment	NOUN
fcis-19577	85	4	is	be	AUX
fcis-19577	85	5	tested	test	VERB
fcis-19577	85	6	using	use	VERB
fcis-19577	85	7	windows	window	NOUN
fcis-19577	85	8	11	11	NUM
fcis-19577	85	9	system	system	NOUN
fcis-19577	85	10	,	,	PUNCT
fcis-19577	85	11	cpu	cpu	NOUN
fcis-19577	85	12	model	model	PROPN
fcis-19577	85	13	amd	amd	PROPN
fcis-19577	85	14	epyc	epyc	PROPN
fcis-19577	85	15	7453	7453	NUM
fcis-19577	85	16	,	,	PUNCT
fcis-19577	85	17	graphics	graphic	NOUN
fcis-19577	85	18	card	card	NOUN
fcis-19577	85	19	model	model	PROPN
fcis-19577	85	20	nvidia	nvidia	PROPN
fcis-19577	85	21	rtx	rtx	PROPN
fcis-19577	85	22	4090	4090	NUM
fcis-19577	85	23	with	with	ADP
fcis-19577	85	24	24	24	NUM
fcis-19577	85	25	g	g	NOUN
fcis-19577	85	26	of	of	ADP
fcis-19577	85	27	video	video	NOUN
fcis-19577	85	28	memory	memory	NOUN
fcis-19577	85	29	hardware	hardware	NOUN
fcis-19577	85	30	4.2	4.2	NUM
fcis-19577	85	31	.	.	PUNCT
fcis-19577	86	1	evaluation	evaluation	NOUN
fcis-19577	86	2	indicators	indicator	NOUN
fcis-19577	86	3	in	in	ADP
fcis-19577	86	4	order	order	NOUN
fcis-19577	86	5	to	to	PART
fcis-19577	86	6	test	test	VERB
fcis-19577	86	7	the	the	DET
fcis-19577	86	8	detection	detection	NOUN
fcis-19577	86	9	and	and	CCONJ
fcis-19577	86	10	classification	classification	NOUN
fcis-19577	86	11	ability	ability	NOUN
fcis-19577	86	12	of	of	ADP
fcis-19577	86	13	the	the	DET
fcis-19577	86	14	model	model	NOUN
fcis-19577	86	15	,	,	PUNCT
fcis-19577	86	16	the	the	DET
fcis-19577	86	17	(	(	PUNCT
fcis-19577	86	18	meanaverage	meanaverage	NOUN
fcis-19577	86	19	precision	precision	NOUN
fcis-19577	86	20	)	)	PUNCT
fcis-19577	86	21	method	method	NOUN
fcis-19577	86	22	is	be	AUX
fcis-19577	86	23	used	use	VERB
fcis-19577	86	24	to	to	PART
fcis-19577	86	25	evaluate	evaluate	VERB
fcis-19577	86	26	the	the	DET
fcis-19577	86	27	correctness	correctness	NOUN
fcis-19577	86	28	and	and	CCONJ
fcis-19577	86	29	accuracy	accuracy	NOUN
fcis-19577	86	30	of	of	ADP
fcis-19577	86	31	the	the	DET
fcis-19577	86	32	model	model	NOUN
fcis-19577	86	33	for	for	ADP
fcis-19577	86	34	human	human	ADJ
fcis-19577	86	35	posture	posture	NOUN
fcis-19577	86	36	detection	detection	NOUN
fcis-19577	86	37	.	.	PUNCT
fcis-19577	87	1	map	map	NOUN
fcis-19577	87	2	mainly	mainly	ADV
fcis-19577	87	3	consists	consist	VERB
fcis-19577	87	4	of	of	ADP
fcis-19577	87	5	(	(	PUNCT
fcis-19577	87	6	precision	precision	NOUN
fcis-19577	87	7	)	)	PUNCT
fcis-19577	87	8	,	,	PUNCT
fcis-19577	87	9	(	(	PUNCT
fcis-19577	87	10	recall	recall	NOUN
fcis-19577	87	11	)	)	PUNCT
fcis-19577	87	12	,	,	PUNCT
fcis-19577	87	13	ap	ap	PROPN
fcis-19577	87	14	,	,	PUNCT
fcis-19577	87	15	and	and	CCONJ
fcis-19577	87	16	as	as	SCONJ
fcis-19577	87	17	shown	show	VERB
fcis-19577	87	18	in	in	ADP
fcis-19577	87	19	eq	eq	ADP
fcis-19577	87	20	.	.	PUNCT
fcis-19577	88	1	(	(	PUNCT
fcis-19577	88	2	6	6	NUM
fcis-19577	88	3	)	)	PUNCT
fcis-19577	88	4	,	,	PUNCT
fcis-19577	88	5	eq	eq	NOUN
fcis-19577	88	6	.	.	PUNCT
fcis-19577	89	1	(	(	PUNCT
fcis-19577	89	2	7	7	NUM
fcis-19577	89	3	)	)	PUNCT
fcis-19577	89	4	,	,	PUNCT
fcis-19577	89	5	eq	eq	NOUN
fcis-19577	89	6	.	.	PUNCT
fcis-19577	90	1	(	(	PUNCT
fcis-19577	90	2	8)	8)	NUM
fcis-19577	90	3	,	,	PUNCT
fcis-19577	90	4	and	and	CCONJ
fcis-19577	90	5	eq	eq	NOUN
fcis-19577	90	6	.	.	PUNCT
fcis-19577	91	1	(	(	PUNCT
fcis-19577	91	2	9	9	NUM
fcis-19577	91	3	):	):	PUNCT
fcis-19577	91	4	tp	tp	ADP
fcis-19577	91	5	p	p	PROPN
fcis-19577	91	6	tp	tp	ADP
fcis-19577	91	7	fp	fp	PROPN
fcis-19577	91	8			PROPN
fcis-19577	91	9			X
fcis-19577	91	10	(	(	PUNCT
fcis-19577	91	11	6	6	NUM
fcis-19577	91	12	)	)	PUNCT
fcis-19577	91	13	tp	tp	ADP
fcis-19577	91	14	r	r	NOUN
fcis-19577	91	15	tp	tp	NOUN
fcis-19577	91	16	fn	fn	PROPN
fcis-19577	92	1			PROPN
fcis-19577	92	2			X
fcis-19577	92	3	(	(	PUNCT
fcis-19577	92	4	7	7	NUM
fcis-19577	92	5	)	)	SYM
fcis-19577	92	6	1	1	NUM
fcis-19577	92	7	0	0	NUM
fcis-19577	92	8	(	(	PUNCT
fcis-19577	92	9	)	)	PUNCT
fcis-19577	92	10	(	(	PUNCT
fcis-19577	92	11	)	)	PUNCT
fcis-19577	92	12	ap	ap	PROPN
fcis-19577	93	1	p	p	NOUN
fcis-19577	93	2	r	r	NOUN
fcis-19577	93	3	d	d	X
fcis-19577	93	4	r	r	X
fcis-19577	93	5			X
fcis-19577	93	6	(	(	PUNCT
fcis-19577	93	7	8)	8)	NUM
fcis-19577	93	8	1	1	NUM
fcis-19577	93	9	k	k	PROPN
fcis-19577	93	10	ii	ii	PROPN
fcis-19577	93	11	ap	ap	PROPN
fcis-19577	93	12	map	map	VERB
fcis-19577	93	13	k	k	PROPN
fcis-19577	93	14			NUM
fcis-19577	93	15			X
fcis-19577	93	16	(	(	PUNCT
fcis-19577	93	17	9	9	NUM
fcis-19577	93	18	)	)	PUNCT
fcis-19577	93	19	where	where	SCONJ
fcis-19577	93	20	,	,	PUNCT
fcis-19577	93	21	(	(	PUNCT
fcis-19577	93	22	true	true	ADJ
fcis-19577	93	23	positive	positive	ADJ
fcis-19577	93	24	)	)	PUNCT
fcis-19577	93	25	indicates	indicate	VERB
fcis-19577	93	26	that	that	SCONJ
fcis-19577	93	27	the	the	DET
fcis-19577	93	28	predicted	predict	VERB
fcis-19577	93	29	sample	sample	NOUN
fcis-19577	93	30	is	be	AUX
fcis-19577	93	31	positive	positive	ADJ
fcis-19577	93	32	and	and	CCONJ
fcis-19577	93	33	the	the	DET
fcis-19577	93	34	actual	actual	ADJ
fcis-19577	93	35	sample	sample	NOUN
fcis-19577	93	36	is	be	AUX
fcis-19577	93	37	positive	positive	ADJ
fcis-19577	93	38	;	;	PUNCT
fcis-19577	93	39	(	(	PUNCT
fcis-19577	93	40	false	false	ADJ
fcis-19577	93	41	positive	positive	ADJ
fcis-19577	93	42	)	)	PUNCT
fcis-19577	93	43	indicates	indicate	VERB
fcis-19577	93	44	that	that	SCONJ
fcis-19577	93	45	the	the	DET
fcis-19577	93	46	predicted	predict	VERB
fcis-19577	93	47	sample	sample	NOUN
fcis-19577	93	48	is	be	AUX
fcis-19577	93	49	positive	positive	ADJ
fcis-19577	93	50	and	and	CCONJ
fcis-19577	93	51	the	the	DET
fcis-19577	93	52	actual	actual	ADJ
fcis-19577	93	53	sample	sample	NOUN
fcis-19577	93	54	is	be	AUX
fcis-19577	93	55	negative	negative	ADJ
fcis-19577	93	56	;	;	PUNCT
fcis-19577	93	57	(	(	PUNCT
fcis-19577	93	58	false	false	ADJ
fcis-19577	93	59	negative	negative	NOUN
fcis-19577	93	60	)	)	PUNCT
fcis-19577	93	61	indicates	indicate	VERB
fcis-19577	93	62	that	that	SCONJ
fcis-19577	93	63	the	the	DET
fcis-19577	93	64	predicted	predict	VERB
fcis-19577	93	65	sample	sample	NOUN
fcis-19577	93	66	is	be	AUX
fcis-19577	93	67	negative	negative	ADJ
fcis-19577	93	68	and	and	CCONJ
fcis-19577	93	69	the	the	DET
fcis-19577	93	70	actual	actual	ADJ
fcis-19577	93	71	sample	sample	NOUN
fcis-19577	93	72	is	be	AUX
fcis-19577	93	73	positive	positive	ADJ
fcis-19577	93	74	.	.	PUNCT
fcis-19577	94	1	4.3	4.3	NUM
fcis-19577	94	2	.	.	PUNCT
fcis-19577	94	3	key	key	ADJ
fcis-19577	94	4	point	point	NOUN
fcis-19577	94	5	test	test	NOUN
fcis-19577	94	6	results	result	NOUN
fcis-19577	94	7	in	in	ADP
fcis-19577	94	8	yolov8	yolov8	NOUN
fcis-19577	94	9	,	,	PUNCT
fcis-19577	94	10	six	six	NUM
fcis-19577	94	11	sizes	size	NOUN
fcis-19577	94	12	of	of	ADP
fcis-19577	94	13	pre	pre	ADJ
fcis-19577	94	14	-	-	ADJ
fcis-19577	94	15	trained	train	VERB
fcis-19577	94	16	model	model	NOUN
fcis-19577	94	17	structures	structure	NOUN
fcis-19577	94	18	are	be	AUX
fcis-19577	94	19	provided	provide	VERB
fcis-19577	94	20	for	for	ADP
fcis-19577	94	21	human	human	ADJ
fcis-19577	94	22	key	key	ADJ
fcis-19577	94	23	point	point	NOUN
fcis-19577	94	24	detection	detection	NOUN
fcis-19577	94	25	as	as	SCONJ
fcis-19577	94	26	shown	show	VERB
fcis-19577	94	27	in	in	ADP
fcis-19577	94	28	table	table	NOUN
fcis-19577	94	29	2	2	NUM
fcis-19577	94	30	.	.	PUNCT
fcis-19577	95	1	all	all	DET
fcis-19577	95	2	yolov8	yolov8	NOUN
fcis-19577	95	3	-	-	PUNCT
fcis-19577	95	4	pose	pose	NOUN
fcis-19577	95	5	models	model	NOUN
fcis-19577	95	6	are	be	AUX
fcis-19577	95	7	pre	pre	ADJ
fcis-19577	95	8	-	-	VERB
fcis-19577	95	9	trained	train	VERB
fcis-19577	95	10	based	base	VERB
fcis-19577	95	11	on	on	ADP
fcis-19577	95	12	the	the	DET
fcis-19577	95	13	coco	coco	PROPN
fcis-19577	95	14	dataset	dataset	PROPN
fcis-19577	95	15	,	,	PUNCT
fcis-19577	95	16	which	which	PRON
fcis-19577	95	17	is	be	AUX
fcis-19577	95	18	mainly	mainly	ADV
fcis-19577	95	19	used	use	VERB
fcis-19577	95	20	for	for	ADP
fcis-19577	95	21	the	the	DET
fcis-19577	95	22	pose	pose	NOUN
fcis-19577	95	23	estimation	estimation	NOUN
fcis-19577	95	24	task	task	NOUN
fcis-19577	95	25	.	.	PUNCT
fcis-19577	96	1	nsmlx	nsmlx	PROPN
fcis-19577	96	2	represent	represent	VERB
fcis-19577	96	3	the	the	DET
fcis-19577	96	4	different	different	ADJ
fcis-19577	96	5	sizes	size	NOUN
fcis-19577	96	6	of	of	ADP
fcis-19577	96	7	the	the	DET
fcis-19577	96	8	models	model	NOUN
fcis-19577	96	9	,	,	PUNCT
fcis-19577	96	10	respectively	respectively	ADV
fcis-19577	96	11	,	,	PUNCT
fcis-19577	96	12	and	and	CCONJ
fcis-19577	96	13	the	the	DET
fcis-19577	96	14	accuracy	accuracy	NOUN
fcis-19577	96	15	,	,	PUNCT
fcis-19577	96	16	parameter	parameter	NOUN
fcis-19577	96	17	count	count	NOUN
fcis-19577	96	18	,	,	PUNCT
fcis-19577	96	19	and	and	CCONJ
fcis-19577	96	20	inference	inference	NOUN
fcis-19577	96	21	speed	speed	NOUN
fcis-19577	96	22	of	of	ADP
fcis-19577	96	23	the	the	DET
fcis-19577	96	24	models	model	NOUN
fcis-19577	96	25	gradually	gradually	ADV
fcis-19577	96	26	increase	increase	VERB
fcis-19577	96	27	with	with	ADP
fcis-19577	96	28	the	the	DET
fcis-19577	96	29	increase	increase	NOUN
fcis-19577	96	30	of	of	ADP
fcis-19577	96	31	the	the	DET
fcis-19577	96	32	model	model	NOUN
fcis-19577	96	33	size	size	NOUN
fcis-19577	96	34	.	.	PUNCT
fcis-19577	97	1	table	table	NOUN
fcis-19577	97	2	1	1	NUM
fcis-19577	97	3	.	.	PUNCT
fcis-19577	97	4	key	key	ADJ
fcis-19577	97	5	point	point	NOUN
fcis-19577	97	6	correspondence	correspondence	NOUN
fcis-19577	97	7	rule	rule	NOUN
fcis-19577	97	8	0	0	NUM
fcis-19577	97	9	1	1	NUM
fcis-19577	97	10	2	2	NUM
fcis-19577	97	11	3	3	NUM
fcis-19577	97	12	4	4	NUM
fcis-19577	97	13	5	5	NUM
fcis-19577	97	14	6	6	NUM
fcis-19577	97	15	7	7	NUM
fcis-19577	97	16	8	8	NUM
fcis-19577	97	17	nose	nose	NOUN
fcis-19577	97	18	left	leave	VERB
fcis-19577	97	19	eye	eye	NOUN
fcis-19577	97	20	right	right	ADJ
fcis-19577	97	21	eye	eye	NOUN
fcis-19577	97	22	left	leave	VERB
fcis-19577	97	23	ear	ear	NOUN
fcis-19577	97	24	right	right	ADJ
fcis-19577	97	25	ear	ear	NOUN
fcis-19577	97	26	left	leave	VERB
fcis-19577	97	27	shoulder	shoulder	NOUN
fcis-19577	97	28	right	right	ADJ
fcis-19577	97	29	shoulder	shoulder	NOUN
fcis-19577	97	30	left	leave	VERB
fcis-19577	97	31	elbow	elbow	VERB
fcis-19577	97	32	right	right	ADJ
fcis-19577	97	33	elbow	elbow	PROPN
fcis-19577	97	34	9	9	NUM
fcis-19577	97	35	10	10	NUM
fcis-19577	97	36	11	11	NUM
fcis-19577	97	37	12	12	NUM
fcis-19577	97	38	13	13	NUM
fcis-19577	97	39	14	14	NUM
fcis-19577	97	40	15	15	NUM
fcis-19577	97	41	16	16	NUM
fcis-19577	97	42	left	leave	VERB
fcis-19577	97	43	wrist	wrist	NOUN
fcis-19577	97	44	right	right	ADJ
fcis-19577	97	45	wrist	wrist	NOUN
fcis-19577	97	46	left	leave	VERB
fcis-19577	97	47	hip	hip	NOUN
fcis-19577	97	48	right	right	ADJ
fcis-19577	97	49	hip	hip	NOUN
fcis-19577	97	50	left	leave	VERB
fcis-19577	97	51	knee	knee	NOUN
fcis-19577	97	52	rignt	rignt	PROPN
fcis-19577	97	53	knee	knee	NOUN
fcis-19577	97	54	left	leave	VERB
fcis-19577	97	55	ankle	ankle	PROPN
fcis-19577	97	56	right	right	ADJ
fcis-19577	97	57	ankle	ankle	NOUN
fcis-19577	97	58	table	table	NOUN
fcis-19577	97	59	2	2	NUM
fcis-19577	97	60	.	.	PUNCT
fcis-19577	98	1	parameter	parameter	NOUN
fcis-19577	98	2	combinations	combination	NOUN
fcis-19577	98	3	number	number	NOUN
fcis-19577	98	4	models	model	NOUN
fcis-19577	98	5	epochs	epoch	VERB
fcis-19577	98	6	imgsz	imgsz	NOUN
fcis-19577	98	7	batch	batch	NOUN
fcis-19577	98	8	learning	learn	VERB
fcis-19577	98	9	rate	rate	NOUN
fcis-19577	98	10	momentum	momentum	NOUN
fcis-19577	98	11	optimizers	optimizer	NOUN
fcis-19577	98	12	1	1	NUM
fcis-19577	98	13	yolov8n	yolov8n	NOUN
fcis-19577	98	14	-	-	PUNCT
fcis-19577	98	15	pose	pose	VERB
fcis-19577	98	16	20	20	NUM
fcis-19577	98	17	640	640	NUM
fcis-19577	98	18	16	16	NUM
fcis-19577	98	19	lr=0.002	lr=0.002	ADJ
fcis-19577	98	20	0.9	0.9	NUM
fcis-19577	98	21	adamw	adamw	NOUN
fcis-19577	98	22	2	2	NUM
fcis-19577	98	23	yolov8s	yolov8	NOUN
fcis-19577	98	24	-	-	PUNCT
fcis-19577	98	25	pose	pose	VERB
fcis-19577	98	26	20	20	NUM
fcis-19577	98	27	640	640	NUM
fcis-19577	98	28	16	16	NUM
fcis-19577	98	29	lr=0.002	lr=0.002	ADJ
fcis-19577	98	30	0.9	0.9	NUM
fcis-19577	98	31	adamw	adamw	NOUN
fcis-19577	98	32	3	3	NUM
fcis-19577	98	33	yolov8m	yolov8m	PROPN
fcis-19577	98	34	-	-	PUNCT
fcis-19577	98	35	pose	pose	VERB
fcis-19577	98	36	20	20	NUM
fcis-19577	98	37	640	640	NUM
fcis-19577	98	38	16	16	NUM
fcis-19577	98	39	lr=0.002	lr=0.002	NOUN
fcis-19577	98	40	0.9	0.9	NUM
fcis-19577	98	41	sgd	sgd	NOUN
fcis-19577	98	42	4	4	NUM
fcis-19577	98	43	yolov8n	yolov8n	NOUN
fcis-19577	98	44	-	-	PUNCT
fcis-19577	98	45	pose	pose	VERB
fcis-19577	98	46	10	10	NUM
fcis-19577	98	47	640	640	NUM
fcis-19577	98	48	32	32	NUM
fcis-19577	98	49	lr=0.002	lr=0.002	ADJ
fcis-19577	98	50	0.9	0.9	NUM
fcis-19577	98	51	adamw	adamw	NOUN
fcis-19577	98	52	5	5	NUM
fcis-19577	98	53	yolov8n	yolov8n	NOUN
fcis-19577	98	54	-	-	PUNCT
fcis-19577	98	55	pose	pose	VERB
fcis-19577	98	56	16	16	NUM
fcis-19577	98	57	640	640	NUM
fcis-19577	98	58	10	10	NUM
fcis-19577	98	59	lr0=0.1	lr0=0.1	NOUN
fcis-19577	98	60	,	,	PUNCT
fcis-19577	98	61	lrf=0.1	lrf=0.1	PROPN
fcis-19577	98	62	0.937	0.937	NUM
fcis-19577	98	63	‘	'	PUNCT
fcis-19577	98	64	auto	auto	NOUN
fcis-19577	98	65	’	'	PUNCT
fcis-19577	98	66	6	6	NUM
fcis-19577	98	67	yolov8n	yolov8n	NOUN
fcis-19577	98	68	-	-	PUNCT
fcis-19577	98	69	pose	pose	VERB
fcis-19577	98	70	32	32	NUM
fcis-19577	98	71	640	640	NUM
fcis-19577	98	72	10	10	NUM
fcis-19577	98	73	lr0=0.1	lr0=0.1	NOUN
fcis-19577	98	74	,	,	PUNCT
fcis-19577	98	75	lrf=0.1	lrf=0.1	PROPN
fcis-19577	98	76	0.937	0.937	NUM
fcis-19577	98	77	‘	'	PUNCT
fcis-19577	98	78	auto	auto	NOUN
fcis-19577	98	79	’	'	PUNCT
fcis-19577	98	80	65	65	NUM
fcis-19577	98	81	table	table	NOUN
fcis-19577	98	82	3	3	NUM
fcis-19577	98	83	.	.	PUNCT
fcis-19577	98	84	model	model	NOUN
fcis-19577	98	85	results	result	NOUN
fcis-19577	98	86	number	number	NOUN
fcis-19577	98	87	box	box	PROPN
fcis-19577	98	88	pose	pose	VERB
fcis-19577	98	89	p	p	NOUN
fcis-19577	98	90	r	r	NOUN
fcis-19577	98	91	map50	map50	PROPN
fcis-19577	98	92	map0	map0	PROPN
fcis-19577	98	93	-	-	PUNCT
fcis-19577	98	94	95	95	NUM
fcis-19577	98	95	p	p	NOUN
fcis-19577	98	96	r	r	NOUN
fcis-19577	98	97	map50	map50	PROPN
fcis-19577	98	98	map0	map0	PROPN
fcis-19577	98	99	-	-	PUNCT
fcis-19577	98	100	95	95	NUM
fcis-19577	98	101	1	1	NUM
fcis-19577	98	102	0.857	0.857	NUM
fcis-19577	98	103	0.755	0.755	NUM
fcis-19577	98	104	0.863	0.863	NUM
fcis-19577	98	105	0.594	0.594	NUM
fcis-19577	98	106	0.788	0.788	NUM
fcis-19577	98	107	0.628	0.628	NUM
fcis-19577	98	108	0.673	0.673	NUM
fcis-19577	98	109	0.323	0.323	NUM
fcis-19577	98	110	2	2	NUM
fcis-19577	98	111	0.812	0.812	NUM
fcis-19577	98	112	0.773	0.773	NUM
fcis-19577	98	113	0.855	0.855	NUM
fcis-19577	98	114	0.593	0.593	NUM
fcis-19577	98	115	0.771	0.771	NUM
fcis-19577	98	116	0.636	0.636	NUM
fcis-19577	98	117	0.680	0.680	NUM
fcis-19577	98	118	0.337	0.337	NUM
fcis-19577	98	119	3	3	NUM
fcis-19577	98	120	0.815	0.815	NUM
fcis-19577	98	121	0.775	0.775	NUM
fcis-19577	98	122	0.852	0.852	NUM
fcis-19577	98	123	0.599	0.599	NUM
fcis-19577	98	124	0.726	0.726	NUM
fcis-19577	98	125	0.645	0.645	NUM
fcis-19577	98	126	0.660	0.660	NUM
fcis-19577	98	127	0.312	0.312	NUM
fcis-19577	98	128	4	4	NUM
fcis-19577	98	129	0.834	0.834	NUM
fcis-19577	98	130	0.746	0.746	NUM
fcis-19577	98	131	0.844	0.844	NUM
fcis-19577	98	132	0.566	0.566	NUM
fcis-19577	98	133	0.768	0.768	NUM
fcis-19577	98	134	0.579	0.579	NUM
fcis-19577	98	135	0.624	0.624	NUM
fcis-19577	98	136	0.287	0.287	NUM
fcis-19577	98	137	5	5	NUM
fcis-19577	98	138	0.807	0.807	NUM
fcis-19577	98	139	0.741	0.741	NUM
fcis-19577	98	140	0.832	0.832	NUM
fcis-19577	98	141	0.554	0.554	NUM
fcis-19577	98	142	0.704	0.704	NUM
fcis-19577	98	143	0.595	0.595	NUM
fcis-19577	98	144	0.602	0.602	NUM
fcis-19577	98	145	0.260	0.260	NUM
fcis-19577	98	146	6	6	NUM
fcis-19577	98	147	0.832	0.832	NUM
fcis-19577	98	148	0.706	0.706	NUM
fcis-19577	98	149	0.817	0.817	NUM
fcis-19577	98	150	0.546	0.546	NUM
fcis-19577	98	151	0.710	0.710	NUM
fcis-19577	99	1	0.589	0.589	NUM
fcis-19577	99	2	0.591	0.591	NUM
fcis-19577	99	3	0.26	0.26	NUM
fcis-19577	99	4	yolov8	yolov8	NOUN
fcis-19577	99	5	-	-	PUNCT
fcis-19577	99	6	pose	pose	NOUN
fcis-19577	99	7	can	can	AUX
fcis-19577	99	8	realize	realize	VERB
fcis-19577	99	9	the	the	DET
fcis-19577	99	10	detection	detection	NOUN
fcis-19577	99	11	of	of	ADP
fcis-19577	99	12	17	17	NUM
fcis-19577	99	13	key	key	ADJ
fcis-19577	99	14	points	point	NOUN
fcis-19577	99	15	of	of	ADP
fcis-19577	99	16	the	the	DET
fcis-19577	99	17	human	human	ADJ
fcis-19577	99	18	body	body	NOUN
fcis-19577	99	19	and	and	CCONJ
fcis-19577	99	20	return	return	VERB
fcis-19577	99	21	[	[	X
fcis-19577	99	22	17	17	NUM
fcis-19577	99	23	*	*	SYM
fcis-19577	99	24	3	3	NUM
fcis-19577	99	25	]	]	PUNCT
fcis-19577	99	26	position	position	NOUN
fcis-19577	99	27	information	information	NOUN
fcis-19577	99	28	,	,	PUNCT
fcis-19577	99	29	which	which	PRON
fcis-19577	99	30	represents	represent	VERB
fcis-19577	99	31	the	the	DET
fcis-19577	99	32	x	x	NOUN
fcis-19577	99	33	-	-	NOUN
fcis-19577	99	34	coordinate	coordinate	ADJ
fcis-19577	99	35	,	,	PUNCT
fcis-19577	99	36	y	y	NOUN
fcis-19577	99	37	-	-	PUNCT
fcis-19577	99	38	coordinate	coordinate	NOUN
fcis-19577	99	39	and	and	CCONJ
fcis-19577	99	40	whether	whether	SCONJ
fcis-19577	99	41	the	the	DET
fcis-19577	99	42	17	17	NUM
fcis-19577	99	43	key	key	ADJ
fcis-19577	99	44	points	point	NOUN
fcis-19577	99	45	are	be	AUX
fcis-19577	99	46	visible	visible	ADJ
fcis-19577	99	47	or	or	CCONJ
fcis-19577	99	48	not	not	PART
fcis-19577	99	49	.	.	PUNCT
fcis-19577	100	1	the	the	DET
fcis-19577	100	2	corresponding	corresponding	ADJ
fcis-19577	100	3	rules	rule	NOUN
fcis-19577	100	4	of	of	ADP
fcis-19577	100	5	the	the	DET
fcis-19577	100	6	17	17	NUM
fcis-19577	100	7	key	key	ADJ
fcis-19577	100	8	points	point	NOUN
fcis-19577	100	9	are	be	AUX
fcis-19577	100	10	shown	show	VERB
fcis-19577	100	11	in	in	ADP
fcis-19577	100	12	table	table	NOUN
fcis-19577	100	13	1	1	NUM
fcis-19577	100	14	.	.	PUNCT
fcis-19577	101	1	since	since	SCONJ
fcis-19577	101	2	yolov8	yolov8	NOUN
fcis-19577	101	3	has	have	AUX
fcis-19577	101	4	already	already	ADV
fcis-19577	101	5	provided	provide	VERB
fcis-19577	101	6	a	a	DET
fcis-19577	101	7	pre	pre	ADJ
fcis-19577	101	8	-	-	ADJ
fcis-19577	101	9	training	training	ADJ
fcis-19577	101	10	parameter	parameter	NOUN
fcis-19577	101	11	model	model	NOUN
fcis-19577	101	12	,	,	PUNCT
fcis-19577	101	13	we	we	PRON
fcis-19577	101	14	can	can	AUX
fcis-19577	101	15	further	far	ADV
fcis-19577	101	16	save	save	VERB
fcis-19577	101	17	time	time	NOUN
fcis-19577	101	18	and	and	CCONJ
fcis-19577	101	19	obtain	obtain	VERB
fcis-19577	101	20	higher	high	ADJ
fcis-19577	101	21	model	model	NOUN
fcis-19577	101	22	accuracy	accuracy	NOUN
fcis-19577	101	23	by	by	ADP
fcis-19577	101	24	adjusting	adjust	VERB
fcis-19577	101	25	the	the	DET
fcis-19577	101	26	model	model	NOUN
fcis-19577	101	27	parameters	parameter	NOUN
fcis-19577	101	28	and	and	CCONJ
fcis-19577	101	29	pretraining	pretraine	VERB
fcis-19577	101	30	on	on	ADP
fcis-19577	101	31	this	this	DET
fcis-19577	101	32	basis	basis	NOUN
fcis-19577	101	33	.	.	PUNCT
fcis-19577	102	1	by	by	ADP
fcis-19577	102	2	selecting	select	VERB
fcis-19577	102	3	different	different	ADJ
fcis-19577	102	4	pre	pre	ADJ
fcis-19577	102	5	-	-	ADJ
fcis-19577	102	6	training	training	ADJ
fcis-19577	102	7	parameter	parameter	NOUN
fcis-19577	102	8	models	model	NOUN
fcis-19577	102	9	and	and	CCONJ
fcis-19577	102	10	adjusting	adjust	VERB
fcis-19577	102	11	the	the	DET
fcis-19577	102	12	corresponding	corresponding	ADJ
fcis-19577	102	13	model	model	NOUN
fcis-19577	102	14	parameters	parameter	NOUN
fcis-19577	102	15	,	,	PUNCT
fcis-19577	102	16	six	six	NUM
fcis-19577	102	17	sets	set	NOUN
fcis-19577	102	18	of	of	ADP
fcis-19577	102	19	experiments	experiment	NOUN
fcis-19577	102	20	were	be	AUX
fcis-19577	102	21	conducted	conduct	VERB
fcis-19577	102	22	,	,	PUNCT
fcis-19577	102	23	and	and	CCONJ
fcis-19577	102	24	their	their	PRON
fcis-19577	102	25	corresponding	corresponding	ADJ
fcis-19577	102	26	results	result	NOUN
fcis-19577	102	27	are	be	AUX
fcis-19577	102	28	shown	show	VERB
fcis-19577	102	29	in	in	ADP
fcis-19577	102	30	table	table	NOUN
fcis-19577	102	31	3	3	NUM
fcis-19577	102	32	.	.	PUNCT
fcis-19577	103	1	through	through	ADP
fcis-19577	103	2	the	the	DET
fcis-19577	103	3	experiments	experiment	NOUN
fcis-19577	103	4	,	,	PUNCT
fcis-19577	103	5	it	it	PRON
fcis-19577	103	6	is	be	AUX
fcis-19577	103	7	found	find	VERB
fcis-19577	103	8	that	that	SCONJ
fcis-19577	103	9	the	the	DET
fcis-19577	103	10	selection	selection	NOUN
fcis-19577	103	11	of	of	ADP
fcis-19577	103	12	more	more	ADV
fcis-19577	103	13	complex	complex	ADJ
fcis-19577	103	14	pre	pre	ADJ
fcis-19577	103	15	-	-	ADJ
fcis-19577	103	16	training	training	ADJ
fcis-19577	103	17	models	model	NOUN
fcis-19577	103	18	can	can	AUX
fcis-19577	103	19	effectively	effectively	ADV
fcis-19577	103	20	improve	improve	VERB
fcis-19577	103	21	the	the	DET
fcis-19577	103	22	accuracy	accuracy	NOUN
fcis-19577	103	23	,	,	PUNCT
fcis-19577	103	24	but	but	CCONJ
fcis-19577	103	25	its	its	PRON
fcis-19577	103	26	inference	inference	NOUN
fcis-19577	103	27	speed	speed	NOUN
fcis-19577	103	28	also	also	ADV
fcis-19577	103	29	increases	increase	VERB
fcis-19577	103	30	.	.	PUNCT
fcis-19577	104	1	after	after	ADP
fcis-19577	104	2	comprehensive	comprehensive	ADJ
fcis-19577	104	3	consideration	consideration	NOUN
fcis-19577	104	4	,	,	PUNCT
fcis-19577	104	5	we	we	PRON
fcis-19577	104	6	select	select	VERB
fcis-19577	104	7	parameter	parameter	NOUN
fcis-19577	104	8	combination	combination	NOUN
fcis-19577	104	9	4	4	NUM
fcis-19577	104	10	as	as	ADP
fcis-19577	104	11	the	the	DET
fcis-19577	104	12	key	key	ADJ
fcis-19577	104	13	extraction	extraction	NOUN
fcis-19577	104	14	model	model	NOUN
fcis-19577	104	15	for	for	ADP
fcis-19577	104	16	the	the	DET
fcis-19577	104	17	subsequent	subsequent	ADJ
fcis-19577	104	18	part	part	NOUN
fcis-19577	104	19	of	of	ADP
fcis-19577	104	20	the	the	DET
fcis-19577	104	21	pose	pose	NOUN
fcis-19577	104	22	recognition	recognition	NOUN
fcis-19577	104	23	,	,	PUNCT
fcis-19577	104	24	and	and	CCONJ
fcis-19577	104	25	export	export	VERB
fcis-19577	104	26	its	its	PRON
fcis-19577	104	27	training	training	NOUN
fcis-19577	104	28	weights	weight	NOUN
fcis-19577	104	29	as	as	ADP
fcis-19577	104	30	onnx	onnx	NOUN
fcis-19577	104	31	model	model	NOUN
fcis-19577	104	32	for	for	ADP
fcis-19577	104	33	subsequent	subsequent	ADJ
fcis-19577	104	34	calls	call	NOUN
fcis-19577	104	35	.	.	PUNCT
fcis-19577	105	1	4.4	4.4	NUM
fcis-19577	105	2	.	.	PUNCT
fcis-19577	105	3	posture	posture	NOUN
fcis-19577	105	4	recognition	recognition	NOUN
fcis-19577	105	5	results	result	VERB
fcis-19577	105	6	five	five	NUM
fcis-19577	105	7	main	main	ADJ
fcis-19577	105	8	actions	action	NOUN
fcis-19577	105	9	are	be	AUX
fcis-19577	105	10	recognized	recognize	VERB
fcis-19577	105	11	,	,	PUNCT
fcis-19577	105	12	namely	namely	ADV
fcis-19577	105	13	falling	fall	VERB
fcis-19577	105	14	,	,	PUNCT
fcis-19577	105	15	waving	wave	VERB
fcis-19577	105	16	,	,	PUNCT
fcis-19577	105	17	sitting	sit	VERB
fcis-19577	105	18	,	,	PUNCT
fcis-19577	105	19	standing	standing	NOUN
fcis-19577	105	20	and	and	CCONJ
fcis-19577	105	21	walking	walk	VERB
fcis-19577	105	22	.	.	PUNCT
fcis-19577	106	1	the	the	DET
fcis-19577	106	2	raw	raw	ADJ
fcis-19577	106	3	training	training	NOUN
fcis-19577	106	4	data	datum	NOUN
fcis-19577	106	5	are	be	AUX
fcis-19577	106	6	all	all	PRON
fcis-19577	106	7	obtained	obtain	VERB
fcis-19577	106	8	by	by	ADP
fcis-19577	106	9	self	self	NOUN
fcis-19577	106	10	-	-	PUNCT
fcis-19577	106	11	taking	taking	NOUN
fcis-19577	106	12	and	and	CCONJ
fcis-19577	106	13	processing	processing	NOUN
fcis-19577	106	14	.	.	PUNCT
fcis-19577	107	1	we	we	PRON
fcis-19577	107	2	further	far	ADV
fcis-19577	107	3	flatten	flatten	VERB
fcis-19577	107	4	the	the	DET
fcis-19577	107	5	feature	feature	NOUN
fcis-19577	107	6	map	map	NOUN
fcis-19577	107	7	information	information	NOUN
fcis-19577	107	8	of	of	ADP
fcis-19577	107	9	the	the	DET
fcis-19577	107	10	five	five	NUM
fcis-19577	107	11	[	[	X
fcis-19577	107	12	17,3	17,3	X
fcis-19577	107	13	]	]	X
fcis-19577	107	14	keypoints	keypoint	NOUN
fcis-19577	107	15	to	to	PART
fcis-19577	107	16	form	form	VERB
fcis-19577	107	17	255	255	NUM
fcis-19577	107	18	feature	feature	NOUN
fcis-19577	107	19	columns	column	NOUN
fcis-19577	107	20	,	,	PUNCT
fcis-19577	107	21	and	and	CCONJ
fcis-19577	107	22	perform	perform	VERB
fcis-19577	107	23	category	category	NOUN
fcis-19577	107	24	labeling	labeling	NOUN
fcis-19577	107	25	.	.	PUNCT
fcis-19577	108	1	we	we	PRON
fcis-19577	108	2	experimented	experiment	VERB
fcis-19577	108	3	with	with	ADP
fcis-19577	108	4	models	model	NOUN
fcis-19577	108	5	such	such	ADJ
fcis-19577	108	6	as	as	ADP
fcis-19577	108	7	random	random	ADJ
fcis-19577	108	8	forest	forest	NOUN
fcis-19577	108	9	,	,	PUNCT
fcis-19577	108	10	support	support	NOUN
fcis-19577	108	11	vector	vector	NOUN
fcis-19577	108	12	machine	machine	NOUN
fcis-19577	108	13	,	,	PUNCT
fcis-19577	108	14	and	and	CCONJ
fcis-19577	108	15	so	so	ADV
fcis-19577	108	16	on	on	ADV
fcis-19577	108	17	,	,	PUNCT
fcis-19577	108	18	and	and	CCONJ
fcis-19577	108	19	the	the	DET
fcis-19577	108	20	classification	classification	NOUN
fcis-19577	108	21	accuracies	accuracy	NOUN
fcis-19577	108	22	of	of	ADP
fcis-19577	108	23	the	the	DET
fcis-19577	108	24	models	model	NOUN
fcis-19577	108	25	were	be	AUX
fcis-19577	108	26	stable	stable	ADJ
fcis-19577	108	27	at	at	ADP
fcis-19577	108	28	about	about	ADV
fcis-19577	108	29	90	90	NUM
fcis-19577	108	30	%	%	NOUN
fcis-19577	108	31	on	on	ADP
fcis-19577	108	32	the	the	DET
fcis-19577	108	33	test	test	NOUN
fcis-19577	108	34	set	set	NOUN
fcis-19577	108	35	,	,	PUNCT
fcis-19577	108	36	and	and	CCONJ
fcis-19577	108	37	for	for	ADP
fcis-19577	108	38	this	this	DET
fcis-19577	108	39	reason	reason	NOUN
fcis-19577	108	40	,	,	PUNCT
fcis-19577	108	41	we	we	PRON
fcis-19577	108	42	chose	choose	VERB
fcis-19577	108	43	the	the	DET
fcis-19577	108	44	random	random	ADJ
fcis-19577	108	45	forest	forest	NOUN
fcis-19577	108	46	model	model	NOUN
fcis-19577	108	47	as	as	ADP
fcis-19577	108	48	the	the	DET
fcis-19577	108	49	gesture	gesture	NOUN
fcis-19577	108	50	recognition	recognition	NOUN
fcis-19577	108	51	model	model	NOUN
fcis-19577	108	52	after	after	ADP
fcis-19577	108	53	the	the	DET
fcis-19577	108	54	extraction	extraction	NOUN
fcis-19577	108	55	of	of	ADP
fcis-19577	108	56	the	the	DET
fcis-19577	108	57	keypoints	keypoint	NOUN
fcis-19577	108	58	,	,	PUNCT
fcis-19577	108	59	and	and	CCONJ
fcis-19577	108	60	the	the	DET
fcis-19577	108	61	main	main	ADJ
fcis-19577	108	62	parameters	parameter	NOUN
fcis-19577	108	63	of	of	ADP
fcis-19577	108	64	the	the	DET
fcis-19577	108	65	model	model	NOUN
fcis-19577	108	66	are	be	AUX
fcis-19577	108	67	n_estimators	n_estimator	NOUN
fcis-19577	108	68	the	the	DET
fcis-19577	108	69	main	main	ADJ
fcis-19577	108	70	parameters	parameter	NOUN
fcis-19577	108	71	of	of	ADP
fcis-19577	108	72	the	the	DET
fcis-19577	108	73	model	model	NOUN
fcis-19577	108	74	are	be	AUX
fcis-19577	108	75	n_estimators=100,max_depth=5	n_estimators=100,max_depth=5	PROPN
fcis-19577	108	76	,	,	PUNCT
fcis-19577	108	77	min_samples_split=3,min_samples_leaf=5	min_samples_split=3,min_samples_leaf=5	PROPN
fcis-19577	108	78	.	.	PUNCT
fcis-19577	109	1	the	the	DET
fcis-19577	109	2	performance	performance	NOUN
fcis-19577	109	3	of	of	ADP
fcis-19577	109	4	the	the	DET
fcis-19577	109	5	model	model	NOUN
fcis-19577	109	6	on	on	ADP
fcis-19577	109	7	the	the	DET
fcis-19577	109	8	test	test	NOUN
fcis-19577	109	9	set	set	NOUN
fcis-19577	109	10	is	be	AUX
fcis-19577	109	11	shown	show	VERB
fcis-19577	109	12	in	in	ADP
fcis-19577	109	13	figure	figure	NOUN
fcis-19577	109	14	5	5	NUM
fcis-19577	109	15	:	:	PUNCT
fcis-19577	109	16	figure	figure	NOUN
fcis-19577	109	17	5	5	NUM
fcis-19577	109	18	.	.	PUNCT
fcis-19577	109	19	gsrf	gsrf	PROPN
fcis-19577	109	20	model	model	PROPN
fcis-19577	109	21	test	test	NOUN
fcis-19577	109	22	set	set	VERB
fcis-19577	109	23	confusion	confusion	NOUN
fcis-19577	109	24	matrix	matrix	NOUN
fcis-19577	109	25	the	the	DET
fcis-19577	109	26	final	final	ADJ
fcis-19577	109	27	test	test	NOUN
fcis-19577	109	28	on	on	ADP
fcis-19577	109	29	the	the	DET
fcis-19577	109	30	rtsp	rtsp	NOUN
fcis-19577	109	31	video	video	NOUN
fcis-19577	109	32	stream	stream	NOUN
fcis-19577	109	33	,	,	PUNCT
fcis-19577	109	34	all	all	DET
fcis-19577	109	35	five	five	NUM
fcis-19577	109	36	actions	action	NOUN
fcis-19577	109	37	can	can	AUX
fcis-19577	109	38	be	be	AUX
fcis-19577	109	39	effectively	effectively	ADV
fcis-19577	109	40	detected	detect	VERB
fcis-19577	109	41	,	,	PUNCT
fcis-19577	109	42	as	as	SCONJ
fcis-19577	109	43	shown	show	VERB
fcis-19577	109	44	in	in	ADP
fcis-19577	109	45	figure	figure	NOUN
fcis-19577	109	46	6	6	NUM
fcis-19577	109	47	:	:	SYM
fcis-19577	109	48	66	66	NUM
fcis-19577	109	49	figure	figure	NOUN
fcis-19577	109	50	6	6	NUM
fcis-19577	109	51	.	.	PUNCT
fcis-19577	110	1	human	human	ADJ
fcis-19577	110	2	posture	posture	NOUN
fcis-19577	110	3	prediction	prediction	NOUN
fcis-19577	110	4	effect	effect	NOUN
fcis-19577	110	5	diagram	diagram	NOUN
fcis-19577	110	6	acknowledgments	acknowledgment	NOUN
fcis-19577	110	7	this	this	DET
fcis-19577	110	8	paper	paper	NOUN
fcis-19577	110	9	is	be	AUX
fcis-19577	110	10	for	for	ADP
fcis-19577	110	11	the	the	DET
fcis-19577	110	12	2023	2023	NUM
fcis-19577	110	13	hebei	hebei	PROPN
fcis-19577	110	14	college	college	NOUN
fcis-19577	110	15	students	student	NOUN
fcis-19577	110	16	'	'	PART
fcis-19577	110	17	innovation	innovation	NOUN
fcis-19577	110	18	and	and	CCONJ
fcis-19577	110	19	entrepreneurship	entrepreneurship	NOUN
fcis-19577	110	20	training	training	NOUN
fcis-19577	110	21	program	program	NOUN
fcis-19577	110	22	project	project	NOUN
fcis-19577	110	23	"	"	PUNCT
fcis-19577	110	24	intelligent	intelligent	ADJ
fcis-19577	110	25	monitoring	monitoring	NOUN
fcis-19577	110	26	system	system	NOUN
fcis-19577	110	27	based	base	VERB
fcis-19577	110	28	on	on	ADP
fcis-19577	110	29	posture	posture	NOUN
fcis-19577	110	30	recognition	recognition	NOUN
fcis-19577	110	31	"	"	PUNCT
fcis-19577	111	1	[	[	X
fcis-19577	111	2	s202310081137	s202310081137	X
fcis-19577	111	3	]	]	PUNCT
fcis-19577	111	4	.	.	PUNCT
fcis-19577	112	1	references	reference	NOUN
fcis-19577	112	2	[	[	X
fcis-19577	112	3	1	1	NUM
fcis-19577	112	4	]	]	X
fcis-19577	112	5	zhang	zhang	PROPN
fcis-19577	112	6	xianling	xianling	PROPN
fcis-19577	112	7	,	,	PUNCT
fcis-19577	112	8	ming	ming	PROPN
fcis-19577	112	9	yan	yan	PROPN
fcis-19577	112	10	.	.	PUNCT
fcis-19577	113	1	analysis	analysis	NOUN
fcis-19577	113	2	of	of	ADP
fcis-19577	113	3	the	the	DET
fcis-19577	113	4	accuracy	accuracy	NOUN
fcis-19577	113	5	of	of	ADP
fcis-19577	113	6	age	age	NOUN
fcis-19577	113	7	data	datum	NOUN
fcis-19577	113	8	in	in	ADP
fcis-19577	113	9	the	the	DET
fcis-19577	113	10	seventh	seventh	ADJ
fcis-19577	113	11	national	national	ADJ
fcis-19577	113	12	population	population	NOUN
fcis-19577	113	13	census[j	census[j	PROPN
fcis-19577	113	14	]	]	PUNCT
fcis-19577	113	15	.	.	PUNCT
fcis-19577	114	1	population	population	NOUN
fcis-19577	114	2	research,2022,46(04):27	research,2022,46(04):27	VERB
fcis-19577	114	3	-	-	NOUN
fcis-19577	114	4	39	39	NUM
fcis-19577	114	5	.	.	PUNCT
fcis-19577	115	1	[	[	X
fcis-19577	115	2	2	2	NUM
fcis-19577	115	3	]	]	X
fcis-19577	115	4	chen	chen	PROPN
fcis-19577	115	5	xiang	xiang	PROPN
fcis-19577	115	6	.	.	PUNCT
fcis-19577	116	1	research	research	NOUN
fcis-19577	116	2	on	on	ADP
fcis-19577	116	3	fall	fall	NOUN
fcis-19577	116	4	detection	detection	NOUN
fcis-19577	116	5	based	base	VERB
fcis-19577	116	6	on	on	ADP
fcis-19577	116	7	acceleration	acceleration	NOUN
fcis-19577	116	8	sensor	sensor	NOUN
fcis-19577	117	1	[	[	X
fcis-19577	117	2	d	d	X
fcis-19577	117	3	]	]	X
fcis-19577	117	4	.	.	PUNCT
fcis-19577	118	1	fuzhou	fuzhou	PROPN
fcis-19577	118	2	university,2018	university,2018	PROPN
fcis-19577	118	3	.	.	PUNCT
fcis-19577	119	1	[	[	X
fcis-19577	119	2	3	3	NUM
fcis-19577	119	3	]	]	SYM
fcis-19577	119	4	hu	hu	PROPN
fcis-19577	119	5	xin	xin	PROPN
fcis-19577	119	6	,	,	PUNCT
fcis-19577	119	7	liu	liu	PROPN
fcis-19577	119	8	ruian	ruian	PROPN
fcis-19577	119	9	,	,	PUNCT
fcis-19577	119	10	huang	huang	PROPN
fcis-19577	119	11	yulan	yulan	PROPN
fcis-19577	119	12	.	.	PROPN
fcis-19577	119	13	improved	improve	VERB
fcis-19577	119	14	fall	fall	NOUN
fcis-19577	119	15	detection	detection	NOUN
fcis-19577	119	16	algorithm	algorithm	NOUN
fcis-19577	119	17	for	for	ADP
fcis-19577	119	18	the	the	DET
fcis-19577	119	19	elderly	elderly	ADJ
fcis-19577	119	20	based	base	VERB
fcis-19577	119	21	on	on	ADP
fcis-19577	119	22	openpose	openpose	PRON
fcis-19577	119	23	[	[	X
fcis-19577	119	24	j	j	X
fcis-19577	119	25	]	]	X
fcis-19577	119	26	.	.	PUNCT
fcis-19577	120	1	modern	modern	ADJ
fcis-19577	120	2	information	information	NOUN
fcis-19577	120	3	technology	technology	NOUN
fcis-19577	120	4	,	,	PUNCT
fcis-19577	120	5	2023	2023	NUM
fcis-19577	120	6	,	,	PUNCT
fcis-19577	120	7	7	7	NUM
fcis-19577	120	8	(	(	PUNCT
fcis-19577	120	9	23	23	NUM
fcis-19577	120	10	):	):	PUNCT
fcis-19577	120	11	73	73	NUM
fcis-19577	120	12	-	-	SYM
fcis-19577	120	13	78	78	NUM
fcis-19577	120	14	+	+	NOUN
fcis-19577	120	15	82	82	NUM
fcis-19577	120	16	.	.	PUNCT
fcis-19577	121	1	[	[	X
fcis-19577	121	2	4	4	NUM
fcis-19577	121	3	]	]	X
fcis-19577	121	4	huang	huang	PROPN
fcis-19577	121	5	,	,	PUNCT
fcis-19577	121	6	haohao	haohao	PROPN
fcis-19577	121	7	.	.	PUNCT
fcis-19577	122	1	research	research	NOUN
fcis-19577	122	2	and	and	CCONJ
fcis-19577	122	3	design	design	NOUN
fcis-19577	122	4	of	of	ADP
fcis-19577	122	5	deep	deep	ADJ
fcis-19577	122	6	learning	learning	NOUN
fcis-19577	122	7	based	base	VERB
fcis-19577	122	8	monitoring	monitor	VERB
fcis-19577	122	9	system	system	NOUN
fcis-19577	122	10	for	for	ADP
fcis-19577	122	11	dangerous	dangerous	ADJ
fcis-19577	122	12	conditions	condition	NOUN
fcis-19577	122	13	of	of	ADP
fcis-19577	122	14	elderly	elderly	ADJ
fcis-19577	122	15	living	live	VERB
fcis-19577	122	16	alone	alone	ADV
fcis-19577	123	1	[	[	X
fcis-19577	123	2	d	d	X
fcis-19577	123	3	]	]	X
fcis-19577	123	4	.	.	PUNCT
fcis-19577	124	1	supervisor	supervisor	NOUN
fcis-19577	124	2	:	:	PUNCT
fcis-19577	124	3	fuchun	fuchun	PROPN
fcis-19577	124	4	zhang	zhang	PROPN
fcis-19577	124	5	.	.	PUNCT
fcis-19577	125	1	yan'an	yan'an	PROPN
fcis-19577	125	2	university	university	PROPN
fcis-19577	125	3	,	,	PUNCT
fcis-19577	125	4	2023	2023	NUM
fcis-19577	125	5	.	.	PUNCT
fcis-19577	126	1	[	[	X
fcis-19577	126	2	5	5	NUM
fcis-19577	126	3	]	]	SYM
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fcis-19577	126	5	chaoyang	chaoyang	PROPN
fcis-19577	126	6	.	.	PUNCT
fcis-19577	127	1	drinking	drink	VERB
fcis-19577	127	2	water	water	NOUN
fcis-19577	127	3	metering	metering	NOUN
fcis-19577	127	4	device	device	NOUN
fcis-19577	127	5	based	base	VERB
fcis-19577	127	6	on	on	ADP
fcis-19577	127	7	hx711	hx711	NOUN
fcis-19577	127	8	with	with	ADP
fcis-19577	127	9	memory	memory	NOUN
fcis-19577	127	10	function[j	function[j	PROPN
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fcis-19577	127	12	.	.	PUNCT
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fcis-19577	128	2	knowledge	knowledge	NOUN
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fcis-19577	128	4	technology	technology	NOUN
fcis-19577	128	5	,	,	PUNCT
fcis-19577	128	6	2023	2023	NUM
fcis-19577	128	7	,	,	PUNCT
fcis-19577	128	8	19	19	NUM
fcis-19577	128	9	(	(	PUNCT
fcis-19577	128	10	26	26	NUM
fcis-19577	128	11	):	):	PUNCT
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fcis-19577	128	13	-	-	SYM
fcis-19577	128	14	98	98	NUM
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fcis-19577	129	5	fangfang	fangfang	PROPN
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fcis-19577	130	2	of	of	ADP
fcis-19577	130	3	intelligent	intelligent	ADJ
fcis-19577	130	4	electronic	electronic	ADJ
fcis-19577	130	5	scale	scale	NOUN
fcis-19577	130	6	based	base	VERB
fcis-19577	130	7	on	on	ADP
fcis-19577	130	8	hx711	hx711	NOUN
fcis-19577	130	9	multi	multi	ADJ
fcis-19577	130	10	-	-	NOUN
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fcis-19577	130	12	[	[	X
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fcis-19577	130	15	.	.	PUNCT
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fcis-19577	131	2	technology	technology	NOUN
fcis-19577	131	3	research	research	NOUN
fcis-19577	131	4	,	,	PUNCT
fcis-19577	131	5	2021	2021	NUM
fcis-19577	131	6	,	,	PUNCT
fcis-19577	131	7	6	6	NUM
fcis-19577	131	8	(	(	PUNCT
fcis-19577	131	9	15	15	NUM
fcis-19577	131	10	):	):	PUNCT
fcis-19577	131	11	136	136	NUM
fcis-19577	131	12	-	-	SYM
fcis-19577	131	13	140	140	NUM
fcis-19577	131	14	.	.	PUNCT
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fcis-19577	132	2	7	7	X
fcis-19577	132	3	]	]	X
fcis-19577	132	4	zhang	zhang	PROPN
fcis-19577	132	5	min	min	PROPN
fcis-19577	132	6	,	,	PUNCT
fcis-19577	132	7	zhang	zhang	PROPN
fcis-19577	132	8	huan	huan	PROPN
fcis-19577	132	9	,	,	PUNCT
fcis-19577	132	10	shi	shi	PROPN
fcis-19577	132	11	xiaojuan	xiaojuan	PROPN
fcis-19577	132	12	,	,	PUNCT
fcis-19577	132	13	liang	liang	PROPN
fcis-19577	132	14	zhuowen	zhuowen	PROPN
fcis-19577	132	15	,	,	PUNCT
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fcis-19577	132	17	na	na	PROPN
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fcis-19577	132	20	and	and	CCONJ
fcis-19577	132	21	implementation	implementation	NOUN
fcis-19577	132	22	of	of	ADP
fcis-19577	132	23	fall	fall	NOUN
fcis-19577	132	24	detection	detection	NOUN
fcis-19577	132	25	system	system	NOUN
fcis-19577	132	26	for	for	ADP
fcis-19577	132	27	elderly	elderly	ADJ
fcis-19577	132	28	patients	patient	NOUN
fcis-19577	132	29	.	.	PUNCT
fcis-19577	133	1	china	china	PROPN
fcis-19577	133	2	medical	medical	ADJ
fcis-19577	133	3	equipment	equipment	NOUN
fcis-19577	133	4	,	,	PUNCT
fcis-19577	133	5	2024	2024	NUM
fcis-19577	133	6	,	,	PUNCT
fcis-19577	133	7	21	21	NUM
fcis-19577	133	8	(	(	PUNCT
fcis-19577	133	9	02	02	NUM
fcis-19577	133	10	):	):	PUNCT
fcis-19577	133	11	157	157	NUM
fcis-19577	133	12	-	-	SYM
fcis-19577	133	13	161	161	NUM
fcis-19577	133	14	.	.	PUNCT
fcis-19577	134	1	[	[	X
fcis-19577	134	2	8	8	X
fcis-19577	134	3	]	]	X
fcis-19577	134	4	shi	shi	PROPN
fcis-19577	134	5	xiaoyuan	xiaoyuan	PROPN
fcis-19577	134	6	,	,	PUNCT
fcis-19577	134	7	jing	jing	PROPN
fcis-19577	134	8	xinxing	xinxing	PROPN
fcis-19577	134	9	,	,	PUNCT
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fcis-19577	134	11	min	min	PROPN
fcis-19577	134	12	,	,	PUNCT
fcis-19577	134	13	et	et	PROPN
fcis-19577	134	14	al	al	PROPN
fcis-19577	134	15	.	.	PUNCT
fcis-19577	134	16	robustness	robustness	NOUN
fcis-19577	134	17	of	of	ADP
fcis-19577	134	18	speaker	speaker	NOUN
fcis-19577	134	19	recognition	recognition	NOUN
fcis-19577	134	20	based	base	VERB
fcis-19577	134	21	on	on	ADP
fcis-19577	134	22	improved	improved	ADJ
fcis-19577	134	23	pncc	pncc	NOUN
fcis-19577	134	24	and	and	CCONJ
fcis-19577	134	25	i	i	PROPN
fcis-19577	134	26	-	-	NOUN
fcis-19577	134	27	vector	vector	NOUN
fcis-19577	135	1	[	[	X
fcis-19577	135	2	j	j	X
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fcis-19577	135	4	.	.	PUNCT
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fcis-19577	136	2	engineering	engineering	NOUN
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fcis-19577	136	5	,	,	PUNCT
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fcis-19577	136	7	(	(	PUNCT
fcis-19577	136	8	4	4	NUM
fcis-19577	136	9	)	)	PUNCT
fcis-19577	136	10	.	.	PUNCT
fcis-19577	137	1	[	[	X
fcis-19577	137	2	9	9	NUM
fcis-19577	137	3	]	]	SYM
fcis-19577	137	4	ma	ma	PROPN
fcis-19577	137	5	ronggui	ronggui	PROPN
fcis-19577	137	6	,	,	PUNCT
fcis-19577	137	7	wei	wei	PROPN
fcis-19577	137	8	zizhong	zizhong	PROPN
fcis-19577	137	9	,	,	PUNCT
fcis-19577	137	10	he	he	PRON
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fcis-19577	137	12	,	,	PUNCT
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fcis-19577	137	14	al	al	PROPN
fcis-19577	137	15	.	.	PUNCT
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fcis-19577	137	17	traffic	traffic	NOUN
fcis-19577	137	18	scene	scene	NOUN
fcis-19577	137	19	image	image	NOUN
fcis-19577	137	20	enhancement	enhancement	NOUN
fcis-19577	137	21	based	base	VERB
fcis-19577	137	22	on	on	ADP
fcis-19577	137	23	foreground	foreground	NOUN
fcis-19577	137	24	and	and	CCONJ
fcis-19577	137	25	background	background	NOUN
fcis-19577	137	26	characteristics	characteristic	NOUN
fcis-19577	137	27	[	[	X
fcis-19577	137	28	j	j	X
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fcis-19577	137	31	]	]	PUNCT
fcis-19577	137	32	.	.	PUNCT
fcis-19577	138	1	radio	radio	NOUN
fcis-19577	138	2	engineering	engineering	NOUN
fcis-19577	138	3	:	:	PUNCT
fcis-19577	138	4	1	1	NUM
fcis-19577	138	5	-	-	SYM
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fcis-19577	139	1	[	[	SYM
fcis-19577	139	2	2023	2023	NUM
fcis-19577	139	3	-	-	SYM
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fcis-19577	139	5	-	-	NUM
fcis-19577	139	6	04	04	NUM
fcis-19577	139	7	]	]	PUNCT
fcis-19577	139	8	.	.	PUNCT