id	sid	tid	token	lemma	pos
ajst-30887	1	1	academic	academic	ADJ
ajst-30887	1	2	journal	journal	NOUN
ajst-30887	1	3	of	of	ADP
ajst-30887	1	4	science	science	NOUN
ajst-30887	1	5	and	and	CCONJ
ajst-30887	1	6	technology	technology	NOUN
ajst-30887	1	7	issn	issn	NOUN
ajst-30887	1	8	:	:	PUNCT
ajst-30887	1	9	2771	2771	NUM
ajst-30887	1	10	-	-	SYM
ajst-30887	1	11	3032	3032	NUM
ajst-30887	1	12	|	|	NOUN
ajst-30887	1	13	vol	vol	NOUN
ajst-30887	1	14	.	.	PROPN
ajst-30887	1	15	15	15	NUM
ajst-30887	1	16	,	,	PUNCT
ajst-30887	1	17	no	no	INTJ
ajst-30887	1	18	.	.	NOUN
ajst-30887	1	19	2	2	NUM
ajst-30887	1	20	,	,	PUNCT
ajst-30887	1	21	2025	2025	NUM
ajst-30887	1	22	63	63	NUM
ajst-30887	1	23	analysis	analysis	NOUN
ajst-30887	1	24	of	of	ADP
ajst-30887	1	25	driver	driver	NOUN
ajst-30887	1	26	fatigue	fatigue	NOUN
ajst-30887	1	27	eye	eye	NOUN
ajst-30887	1	28	movement	movement	NOUN
ajst-30887	1	29	characteristics	characteristic	NOUN
ajst-30887	1	30	under	under	ADP
ajst-30887	1	31	intelligent	intelligent	ADJ
ajst-30887	1	32	supervision	supervision	NOUN
ajst-30887	1	33	environment	environment	NOUN
ajst-30887	1	34	xianghong	xianghong	PROPN
ajst-30887	1	35	li	li	PROPN
ajst-30887	2	1	school	school	PROPN
ajst-30887	2	2	of	of	ADP
ajst-30887	2	3	energy	energy	NOUN
ajst-30887	2	4	science	science	NOUN
ajst-30887	2	5	and	and	CCONJ
ajst-30887	2	6	engineering	engineering	NOUN
ajst-30887	2	7	,	,	PUNCT
ajst-30887	2	8	henan	henan	PROPN
ajst-30887	2	9	polytechnic	polytechnic	PROPN
ajst-30887	2	10	university	university	PROPN
ajst-30887	2	11	,	,	PUNCT
ajst-30887	2	12	jiaozuo	jiaozuo	NOUN
ajst-30887	2	13	,	,	PUNCT
ajst-30887	2	14	454003	454003	NUM
ajst-30887	2	15	,	,	PUNCT
ajst-30887	2	16	china	china	PROPN
ajst-30887	2	17	abstract	abstract	NOUN
ajst-30887	2	18	:	:	PUNCT
ajst-30887	2	19	reducing	reduce	VERB
ajst-30887	2	20	drivers	driver	NOUN
ajst-30887	2	21	'	'	PART
ajst-30887	2	22	improper	improper	ADJ
ajst-30887	2	23	driving	drive	VERB
ajst-30887	2	24	behavior	behavior	NOUN
ajst-30887	2	25	in	in	ADP
ajst-30887	2	26	transportation	transportation	NOUN
ajst-30887	2	27	is	be	AUX
ajst-30887	2	28	an	an	DET
ajst-30887	2	29	important	important	ADJ
ajst-30887	2	30	condition	condition	NOUN
ajst-30887	2	31	for	for	ADP
ajst-30887	2	32	ensuring	ensure	VERB
ajst-30887	2	33	safety	safety	NOUN
ajst-30887	2	34	.	.	PUNCT
ajst-30887	3	1	in	in	ADP
ajst-30887	3	2	today	today	NOUN
ajst-30887	3	3	's	's	PART
ajst-30887	3	4	intelligent	intelligent	ADJ
ajst-30887	3	5	era	era	NOUN
ajst-30887	3	6	,	,	PUNCT
ajst-30887	3	7	many	many	ADJ
ajst-30887	3	8	passenger	passenger	NOUN
ajst-30887	3	9	and	and	CCONJ
ajst-30887	3	10	freight	freight	NOUN
ajst-30887	3	11	companies	company	NOUN
ajst-30887	3	12	are	be	AUX
ajst-30887	3	13	gradually	gradually	ADV
ajst-30887	3	14	using	use	VERB
ajst-30887	3	15	intelligent	intelligent	ADJ
ajst-30887	3	16	monitoring	monitoring	NOUN
ajst-30887	3	17	platforms	platform	NOUN
ajst-30887	3	18	to	to	PART
ajst-30887	3	19	supervise	supervise	VERB
ajst-30887	3	20	the	the	DET
ajst-30887	3	21	behavior	behavior	NOUN
ajst-30887	3	22	and	and	CCONJ
ajst-30887	3	23	condition	condition	NOUN
ajst-30887	3	24	of	of	ADP
ajst-30887	3	25	drivers	driver	NOUN
ajst-30887	3	26	and	and	CCONJ
ajst-30887	3	27	vehicles	vehicle	NOUN
ajst-30887	3	28	.	.	PUNCT
ajst-30887	4	1	the	the	DET
ajst-30887	4	2	intelligent	intelligent	ADJ
ajst-30887	4	3	supervision	supervision	NOUN
ajst-30887	4	4	platform	platform	NOUN
ajst-30887	4	5	is	be	AUX
ajst-30887	4	6	beneficial	beneficial	ADJ
ajst-30887	4	7	for	for	ADP
ajst-30887	4	8	fatigue	fatigue	NOUN
ajst-30887	4	9	monitoring	monitoring	NOUN
ajst-30887	4	10	and	and	CCONJ
ajst-30887	4	11	improving	improve	VERB
ajst-30887	4	12	driving	driving	NOUN
ajst-30887	4	13	safety	safety	NOUN
ajst-30887	4	14	.	.	PUNCT
ajst-30887	5	1	however	however	ADV
ajst-30887	5	2	,	,	PUNCT
ajst-30887	5	3	the	the	DET
ajst-30887	5	4	research	research	NOUN
ajst-30887	5	5	found	find	VERB
ajst-30887	5	6	that	that	SCONJ
ajst-30887	5	7	the	the	DET
ajst-30887	5	8	number	number	NOUN
ajst-30887	5	9	of	of	ADP
ajst-30887	5	10	alarms	alarm	NOUN
ajst-30887	5	11	on	on	ADP
ajst-30887	5	12	the	the	DET
ajst-30887	5	13	platform	platform	NOUN
ajst-30887	5	14	is	be	AUX
ajst-30887	5	15	too	too	ADV
ajst-30887	5	16	high	high	ADJ
ajst-30887	5	17	,	,	PUNCT
ajst-30887	5	18	and	and	CCONJ
ajst-30887	5	19	the	the	DET
ajst-30887	5	20	smart	smart	ADJ
ajst-30887	5	21	regulatory	regulatory	ADJ
ajst-30887	5	22	environment	environment	NOUN
ajst-30887	5	23	exhibits	exhibit	VERB
ajst-30887	5	24	different	different	ADJ
ajst-30887	5	25	operational	operational	ADJ
ajst-30887	5	26	characteristics	characteristic	NOUN
ajst-30887	5	27	compared	compare	VERB
ajst-30887	5	28	to	to	ADP
ajst-30887	5	29	traditional	traditional	ADJ
ajst-30887	5	30	driving	driving	NOUN
ajst-30887	5	31	environments	environment	NOUN
ajst-30887	5	32	.	.	PUNCT
ajst-30887	6	1	therefore	therefore	ADV
ajst-30887	6	2	,	,	PUNCT
ajst-30887	6	3	based	base	VERB
ajst-30887	6	4	on	on	ADP
ajst-30887	6	5	the	the	DET
ajst-30887	6	6	characteristics	characteristic	NOUN
ajst-30887	6	7	of	of	ADP
ajst-30887	6	8	driving	drive	VERB
ajst-30887	6	9	behavior	behavior	NOUN
ajst-30887	6	10	in	in	ADP
ajst-30887	6	11	the	the	DET
ajst-30887	6	12	context	context	NOUN
ajst-30887	6	13	of	of	ADP
ajst-30887	6	14	smart	smart	ADJ
ajst-30887	6	15	regulatory	regulatory	ADJ
ajst-30887	6	16	information	information	NOUN
ajst-30887	6	17	interaction	interaction	NOUN
ajst-30887	6	18	.	.	PUNCT
ajst-30887	7	1	it	it	PRON
ajst-30887	7	2	is	be	AUX
ajst-30887	7	3	very	very	ADV
ajst-30887	7	4	necessary	necessary	ADJ
ajst-30887	7	5	to	to	PART
ajst-30887	7	6	explore	explore	VERB
ajst-30887	7	7	the	the	DET
ajst-30887	7	8	influencing	influence	VERB
ajst-30887	7	9	factors	factor	NOUN
ajst-30887	7	10	and	and	CCONJ
ajst-30887	7	11	development	development	NOUN
ajst-30887	7	12	patterns	pattern	NOUN
ajst-30887	7	13	of	of	ADP
ajst-30887	7	14	driving	drive	VERB
ajst-30887	7	15	fatigue	fatigue	NOUN
ajst-30887	7	16	under	under	ADP
ajst-30887	7	17	the	the	DET
ajst-30887	7	18	intelligent	intelligent	ADJ
ajst-30887	7	19	supervision	supervision	NOUN
ajst-30887	7	20	environment	environment	NOUN
ajst-30887	7	21	.	.	PUNCT
ajst-30887	8	1	this	this	DET
ajst-30887	8	2	article	article	NOUN
ajst-30887	8	3	uses	use	VERB
ajst-30887	8	4	principal	principal	ADJ
ajst-30887	8	5	component	component	NOUN
ajst-30887	8	6	analysis	analysis	NOUN
ajst-30887	8	7	to	to	PART
ajst-30887	8	8	identify	identify	VERB
ajst-30887	8	9	sensitive	sensitive	ADJ
ajst-30887	8	10	indicators	indicator	NOUN
ajst-30887	8	11	of	of	ADP
ajst-30887	8	12	driving	drive	VERB
ajst-30887	8	13	fatigue	fatigue	NOUN
ajst-30887	8	14	eye	eye	NOUN
ajst-30887	8	15	movement	movement	NOUN
ajst-30887	8	16	characteristics	characteristic	NOUN
ajst-30887	8	17	in	in	ADP
ajst-30887	8	18	the	the	DET
ajst-30887	8	19	context	context	NOUN
ajst-30887	8	20	of	of	ADP
ajst-30887	8	21	intelligent	intelligent	ADJ
ajst-30887	8	22	supervision	supervision	NOUN
ajst-30887	8	23	platforms	platform	NOUN
ajst-30887	8	24	,	,	PUNCT
ajst-30887	8	25	with	with	ADP
ajst-30887	8	26	the	the	DET
ajst-30887	8	27	sensitive	sensitive	ADJ
ajst-30887	8	28	indicators	indicator	NOUN
ajst-30887	8	29	being	be	AUX
ajst-30887	8	30	pupil	pupil	VERB
ajst-30887	8	31	diameter	diameter	NOUN
ajst-30887	8	32	and	and	CCONJ
ajst-30887	8	33	blink	blink	NOUN
ajst-30887	8	34	frequency	frequency	NOUN
ajst-30887	8	35	.	.	PUNCT
ajst-30887	9	1	this	this	DET
ajst-30887	9	2	study	study	NOUN
ajst-30887	9	3	helps	help	VERB
ajst-30887	9	4	to	to	PART
ajst-30887	9	5	reveal	reveal	VERB
ajst-30887	9	6	the	the	DET
ajst-30887	9	7	formation	formation	NOUN
ajst-30887	9	8	and	and	CCONJ
ajst-30887	9	9	variation	variation	NOUN
ajst-30887	9	10	rules	rule	NOUN
ajst-30887	9	11	of	of	ADP
ajst-30887	9	12	driver	driver	NOUN
ajst-30887	9	13	fatigue	fatigue	NOUN
ajst-30887	9	14	under	under	ADP
ajst-30887	9	15	the	the	DET
ajst-30887	9	16	environmental	environmental	ADJ
ajst-30887	9	17	conditions	condition	NOUN
ajst-30887	9	18	of	of	ADP
ajst-30887	9	19	intelligent	intelligent	ADJ
ajst-30887	9	20	supervision	supervision	NOUN
ajst-30887	9	21	platforms	platform	NOUN
ajst-30887	9	22	,	,	PUNCT
ajst-30887	9	23	improving	improve	VERB
ajst-30887	9	24	the	the	DET
ajst-30887	9	25	accuracy	accuracy	NOUN
ajst-30887	9	26	and	and	CCONJ
ajst-30887	9	27	reliability	reliability	NOUN
ajst-30887	9	28	of	of	ADP
ajst-30887	9	29	fatigue	fatigue	NOUN
ajst-30887	9	30	detection	detection	NOUN
ajst-30887	9	31	while	while	SCONJ
ajst-30887	9	32	driving	drive	VERB
ajst-30887	9	33	.	.	PUNCT
ajst-30887	10	1	keywords	keyword	NOUN
ajst-30887	10	2	:	:	PUNCT
ajst-30887	10	3	intelligent	intelligent	ADJ
ajst-30887	10	4	monitoring	monitoring	NOUN
ajst-30887	10	5	environment	environment	NOUN
ajst-30887	10	6	;	;	PUNCT
ajst-30887	10	7	driving	drive	VERB
ajst-30887	10	8	fatigue	fatigue	NOUN
ajst-30887	10	9	;	;	PUNCT
ajst-30887	10	10	eye	eye	NOUN
ajst-30887	10	11	movement	movement	NOUN
ajst-30887	10	12	characteristics	characteristic	NOUN
ajst-30887	10	13	;	;	PUNCT
ajst-30887	10	14	principal	principal	ADJ
ajst-30887	10	15	component	component	NOUN
ajst-30887	10	16	analysis	analysis	NOUN
ajst-30887	10	17	.	.	PUNCT
ajst-30887	11	1	1	1	X
ajst-30887	11	2	.	.	X
ajst-30887	11	3	introduction	introduction	NOUN
ajst-30887	11	4	during	during	ADP
ajst-30887	11	5	the	the	DET
ajst-30887	11	6	driving	driving	NOUN
ajst-30887	11	7	process	process	NOUN
ajst-30887	11	8	,	,	PUNCT
ajst-30887	11	9	the	the	DET
ajst-30887	11	10	driver	driver	NOUN
ajst-30887	11	11	needs	need	VERB
ajst-30887	11	12	to	to	PART
ajst-30887	11	13	maintain	maintain	VERB
ajst-30887	11	14	a	a	DET
ajst-30887	11	15	high	high	ADJ
ajst-30887	11	16	level	level	NOUN
ajst-30887	11	17	of	of	ADP
ajst-30887	11	18	concentration	concentration	NOUN
ajst-30887	11	19	throughout	throughout	ADP
ajst-30887	11	20	,	,	PUNCT
ajst-30887	11	21	gathering	gather	VERB
ajst-30887	11	22	and	and	CCONJ
ajst-30887	11	23	processing	processing	NOUN
ajst-30887	11	24	information	information	NOUN
ajst-30887	11	25	both	both	CCONJ
ajst-30887	11	26	inside	inside	ADP
ajst-30887	11	27	and	and	CCONJ
ajst-30887	11	28	outside	outside	ADP
ajst-30887	11	29	the	the	DET
ajst-30887	11	30	vehicle	vehicle	NOUN
ajst-30887	11	31	.	.	PUNCT
ajst-30887	12	1	this	this	DET
ajst-30887	12	2	high	high	ADJ
ajst-30887	12	3	-	-	PUNCT
ajst-30887	12	4	stress	stress	NOUN
ajst-30887	12	5	operating	operate	VERB
ajst-30887	12	6	state	state	NOUN
ajst-30887	12	7	keeps	keep	VERB
ajst-30887	12	8	the	the	DET
ajst-30887	12	9	driver	driver	NOUN
ajst-30887	12	10	's	's	PART
ajst-30887	12	11	central	central	ADJ
ajst-30887	12	12	nervous	nervous	ADJ
ajst-30887	12	13	system	system	NOUN
ajst-30887	12	14	in	in	ADP
ajst-30887	12	15	a	a	DET
ajst-30887	12	16	state	state	NOUN
ajst-30887	12	17	of	of	ADP
ajst-30887	12	18	high	high	ADJ
ajst-30887	12	19	activation	activation	NOUN
ajst-30887	12	20	.	.	PUNCT
ajst-30887	13	1	however	however	ADV
ajst-30887	13	2	,	,	PUNCT
ajst-30887	13	3	long	long	ADJ
ajst-30887	13	4	periods	period	NOUN
ajst-30887	13	5	of	of	ADP
ajst-30887	13	6	operation	operation	NOUN
ajst-30887	13	7	can	can	AUX
ajst-30887	13	8	lead	lead	VERB
ajst-30887	13	9	to	to	ADP
ajst-30887	13	10	driver	driver	NOUN
ajst-30887	13	11	fatigue	fatigue	NOUN
ajst-30887	13	12	,	,	PUNCT
ajst-30887	13	13	and	and	CCONJ
ajst-30887	13	14	as	as	ADP
ajst-30887	13	15	the	the	DET
ajst-30887	13	16	state	state	NOUN
ajst-30887	13	17	of	of	ADP
ajst-30887	13	18	fatigue	fatigue	NOUN
ajst-30887	13	19	changes	change	NOUN
ajst-30887	13	20	,	,	PUNCT
ajst-30887	13	21	it	it	PRON
ajst-30887	13	22	can	can	AUX
ajst-30887	13	23	also	also	ADV
ajst-30887	13	24	cause	cause	VERB
ajst-30887	13	25	changes	change	NOUN
ajst-30887	13	26	in	in	ADP
ajst-30887	13	27	physiological	physiological	ADJ
ajst-30887	13	28	data	datum	NOUN
ajst-30887	13	29	and	and	CCONJ
ajst-30887	13	30	driving	driving	NOUN
ajst-30887	13	31	performance	performance	NOUN
ajst-30887	13	32	.	.	PUNCT
ajst-30887	14	1	due	due	ADP
ajst-30887	14	2	to	to	ADP
ajst-30887	14	3	the	the	DET
ajst-30887	14	4	monotonous	monotonous	ADJ
ajst-30887	14	5	environment	environment	NOUN
ajst-30887	14	6	during	during	ADP
ajst-30887	14	7	driving	drive	VERB
ajst-30887	14	8	,	,	PUNCT
ajst-30887	14	9	it	it	PRON
ajst-30887	14	10	is	be	AUX
ajst-30887	14	11	easy	easy	ADJ
ajst-30887	14	12	for	for	SCONJ
ajst-30887	14	13	the	the	DET
ajst-30887	14	14	driver	driver	NOUN
ajst-30887	14	15	to	to	PART
ajst-30887	14	16	experience	experience	VERB
ajst-30887	14	17	visual	visual	ADJ
ajst-30887	14	18	fatigue	fatigue	NOUN
ajst-30887	14	19	.	.	PUNCT
ajst-30887	15	1	in	in	ADP
ajst-30887	15	2	order	order	NOUN
ajst-30887	15	3	to	to	PART
ajst-30887	15	4	intuitively	intuitively	ADV
ajst-30887	15	5	and	and	CCONJ
ajst-30887	15	6	effectively	effectively	ADV
ajst-30887	15	7	reflect	reflect	VERB
ajst-30887	15	8	the	the	DET
ajst-30887	15	9	state	state	NOUN
ajst-30887	15	10	of	of	ADP
ajst-30887	15	11	visual	visual	ADJ
ajst-30887	15	12	fatigue	fatigue	NOUN
ajst-30887	15	13	,	,	PUNCT
ajst-30887	15	14	eye	eye	NOUN
ajst-30887	15	15	movement	movement	NOUN
ajst-30887	15	16	data	datum	NOUN
ajst-30887	15	17	has	have	AUX
ajst-30887	15	18	become	become	VERB
ajst-30887	15	19	an	an	DET
ajst-30887	15	20	important	important	ADJ
ajst-30887	15	21	indicator	indicator	NOUN
ajst-30887	15	22	.	.	PUNCT
ajst-30887	16	1	therefore	therefore	ADV
ajst-30887	16	2	,	,	PUNCT
ajst-30887	16	3	this	this	DET
ajst-30887	16	4	article	article	NOUN
ajst-30887	16	5	conducts	conduct	VERB
ajst-30887	16	6	research	research	NOUN
ajst-30887	16	7	on	on	ADP
ajst-30887	16	8	the	the	DET
ajst-30887	16	9	eye	eye	NOUN
ajst-30887	16	10	movement	movement	NOUN
ajst-30887	16	11	patterns	pattern	NOUN
ajst-30887	16	12	of	of	ADP
ajst-30887	16	13	drivers	driver	NOUN
ajst-30887	16	14	when	when	SCONJ
ajst-30887	16	15	fatigued	fatigue	VERB
ajst-30887	16	16	in	in	ADP
ajst-30887	16	17	an	an	DET
ajst-30887	16	18	intelligent	intelligent	ADJ
ajst-30887	16	19	supervision	supervision	NOUN
ajst-30887	16	20	environment	environment	NOUN
ajst-30887	16	21	to	to	PART
ajst-30887	16	22	promote	promote	VERB
ajst-30887	16	23	fatigue	fatigue	NOUN
ajst-30887	16	24	management	management	NOUN
ajst-30887	16	25	for	for	ADP
ajst-30887	16	26	drivers	driver	NOUN
ajst-30887	16	27	under	under	ADP
ajst-30887	16	28	such	such	ADJ
ajst-30887	16	29	conditions	condition	NOUN
ajst-30887	16	30	.	.	PUNCT
ajst-30887	17	1	2	2	X
ajst-30887	17	2	.	.	X
ajst-30887	17	3	research	research	NOUN
ajst-30887	17	4	review	review	NOUN
ajst-30887	17	5	in	in	ADP
ajst-30887	17	6	recent	recent	ADJ
ajst-30887	17	7	years	year	NOUN
ajst-30887	17	8	,	,	PUNCT
ajst-30887	17	9	an	an	DET
ajst-30887	17	10	increasing	increase	VERB
ajst-30887	17	11	number	number	NOUN
ajst-30887	17	12	of	of	ADP
ajst-30887	17	13	researchers	researcher	NOUN
ajst-30887	17	14	have	have	AUX
ajst-30887	17	15	used	use	VERB
ajst-30887	17	16	methods	method	NOUN
ajst-30887	17	17	such	such	ADJ
ajst-30887	17	18	as	as	ADP
ajst-30887	17	19	eye	eye	NOUN
ajst-30887	17	20	tracking	tracking	NOUN
ajst-30887	17	21	and	and	CCONJ
ajst-30887	17	22	facial	facial	ADJ
ajst-30887	17	23	recognition	recognition	NOUN
ajst-30887	17	24	to	to	PART
ajst-30887	17	25	make	make	VERB
ajst-30887	17	26	objective	objective	ADJ
ajst-30887	17	27	judgments	judgment	NOUN
ajst-30887	17	28	about	about	ADP
ajst-30887	17	29	the	the	DET
ajst-30887	17	30	fatigue	fatigue	NOUN
ajst-30887	17	31	state	state	NOUN
ajst-30887	17	32	of	of	ADP
ajst-30887	17	33	drivers	driver	NOUN
ajst-30887	17	34	.	.	PUNCT
ajst-30887	18	1	currently	currently	ADV
ajst-30887	18	2	,	,	PUNCT
ajst-30887	18	3	researchers	researcher	NOUN
ajst-30887	18	4	mainly	mainly	ADV
ajst-30887	18	5	use	use	VERB
ajst-30887	18	6	cnn	cnn	PROPN
ajst-30887	18	7	algorithms	algorithm	NOUN
ajst-30887	18	8	[	[	X
ajst-30887	18	9	1	1	NUM
ajst-30887	18	10	-	-	SYM
ajst-30887	18	11	5	5	NUM
ajst-30887	18	12	]	]	PUNCT
ajst-30887	18	13	,	,	PUNCT
ajst-30887	18	14	mtcnn	mtcnn	ADJ
ajst-30887	18	15	algorithms	algorithm	NOUN
ajst-30887	18	16	[	[	X
ajst-30887	18	17	6	6	NUM
ajst-30887	18	18	-	-	SYM
ajst-30887	18	19	7	7	NUM
ajst-30887	18	20	]	]	PUNCT
ajst-30887	18	21	,	,	PUNCT
ajst-30887	18	22	ssd	ssd	NOUN
ajst-30887	18	23	network	network	NOUN
ajst-30887	18	24	algorithms	algorithm	NOUN
ajst-30887	18	25	[	[	X
ajst-30887	18	26	8	8	NUM
ajst-30887	18	27	-	-	SYM
ajst-30887	18	28	9	9	NUM
ajst-30887	18	29	]	]	PUNCT
ajst-30887	18	30	,	,	PUNCT
ajst-30887	18	31	hog	hog	NOUN
ajst-30887	18	32	algorithms	algorithms	NOUN
ajst-30887	19	1	[	[	X
ajst-30887	19	2	9	9	NUM
ajst-30887	19	3	-	-	SYM
ajst-30887	19	4	10	10	NUM
ajst-30887	19	5	]	]	PUNCT
ajst-30887	19	6	,	,	PUNCT
ajst-30887	19	7	and	and	CCONJ
ajst-30887	19	8	asm	asm	NOUN
ajst-30887	19	9	algorithms	algorithm	NOUN
ajst-30887	19	10	[	[	PUNCT
ajst-30887	19	11	11	11	NUM
ajst-30887	19	12	-	-	SYM
ajst-30887	19	13	14	14	NUM
ajst-30887	19	14	]	]	PUNCT
ajst-30887	19	15	for	for	ADP
ajst-30887	19	16	face	face	NOUN
ajst-30887	19	17	detection	detection	NOUN
ajst-30887	19	18	.	.	PUNCT
ajst-30887	20	1	wang	wang	PROPN
ajst-30887	20	2	di[15	di[15	PROPN
ajst-30887	20	3	]	]	PUNCT
ajst-30887	20	4	used	use	VERB
ajst-30887	20	5	an	an	DET
ajst-30887	20	6	adaboost	adaboost	ADJ
ajst-30887	20	7	cascade	cascade	NOUN
ajst-30887	20	8	classifier	classifier	NOUN
ajst-30887	20	9	for	for	ADP
ajst-30887	20	10	face	face	NOUN
ajst-30887	20	11	detection	detection	NOUN
ajst-30887	20	12	and	and	CCONJ
ajst-30887	20	13	eye	eye	NOUN
ajst-30887	20	14	region	region	NOUN
ajst-30887	20	15	segmentation	segmentation	NOUN
ajst-30887	20	16	,	,	PUNCT
ajst-30887	20	17	performing	perform	VERB
ajst-30887	20	18	image	image	NOUN
ajst-30887	20	19	preprocessing	preprocessing	NOUN
ajst-30887	20	20	to	to	PART
ajst-30887	20	21	reduce	reduce	VERB
ajst-30887	20	22	environmental	environmental	ADJ
ajst-30887	20	23	interference	interference	NOUN
ajst-30887	20	24	,	,	PUNCT
ajst-30887	20	25	accurately	accurately	ADV
ajst-30887	20	26	locating	locate	VERB
ajst-30887	20	27	the	the	DET
ajst-30887	20	28	eyes	eye	NOUN
ajst-30887	20	29	through	through	ADP
ajst-30887	20	30	image	image	NOUN
ajst-30887	20	31	processing	processing	NOUN
ajst-30887	20	32	and	and	CCONJ
ajst-30887	20	33	extracting	extract	VERB
ajst-30887	20	34	eye	eye	NOUN
ajst-30887	20	35	feature	feature	NOUN
ajst-30887	20	36	parameters	parameter	NOUN
ajst-30887	20	37	.	.	PUNCT
ajst-30887	21	1	huang	huang	PROPN
ajst-30887	21	2	z[16	z[16	PROPN
ajst-30887	21	3	]	]	PUNCT
ajst-30887	21	4	extracted	extract	VERB
ajst-30887	21	5	the	the	DET
ajst-30887	21	6	blinking	blink	VERB
ajst-30887	21	7	frequency	frequency	NOUN
ajst-30887	21	8	,	,	PUNCT
ajst-30887	21	9	yawning	yawn	VERB
ajst-30887	21	10	frequency	frequency	NOUN
ajst-30887	21	11	,	,	PUNCT
ajst-30887	21	12	and	and	CCONJ
ajst-30887	21	13	nodding	nod	VERB
ajst-30887	21	14	frequency	frequency	NOUN
ajst-30887	21	15	of	of	ADP
ajst-30887	21	16	drivers	driver	NOUN
ajst-30887	21	17	to	to	PART
ajst-30887	21	18	create	create	VERB
ajst-30887	21	19	a	a	DET
ajst-30887	21	20	fatigue	fatigue	NOUN
ajst-30887	21	21	detection	detection	NOUN
ajst-30887	21	22	sample	sample	NOUN
ajst-30887	21	23	library	library	NOUN
ajst-30887	21	24	,	,	PUNCT
ajst-30887	21	25	and	and	CCONJ
ajst-30887	21	26	used	use	VERB
ajst-30887	21	27	the	the	DET
ajst-30887	21	28	naive	naive	ADJ
ajst-30887	21	29	bayes	bayes	NOUN
ajst-30887	21	30	algorithm	algorithm	NOUN
ajst-30887	21	31	to	to	PART
ajst-30887	21	32	establish	establish	VERB
ajst-30887	21	33	a	a	DET
ajst-30887	21	34	model	model	NOUN
ajst-30887	21	35	for	for	ADP
ajst-30887	21	36	classifying	classify	VERB
ajst-30887	21	37	and	and	CCONJ
ajst-30887	21	38	judging	judge	VERB
ajst-30887	21	39	the	the	DET
ajst-30887	21	40	fatigue	fatigue	NOUN
ajst-30887	21	41	state	state	NOUN
ajst-30887	21	42	of	of	ADP
ajst-30887	21	43	drivers	driver	NOUN
ajst-30887	21	44	.	.	PUNCT
ajst-30887	22	1	wukun	wukun	PROPN
ajst-30887	22	2	liang	liang	PROPN
ajst-30887	23	1	[	[	X
ajst-30887	23	2	17	17	NUM
ajst-30887	23	3	]	]	PUNCT
ajst-30887	23	4	conducts	conduct	VERB
ajst-30887	23	5	a	a	DET
ajst-30887	23	6	comprehensive	comprehensive	ADJ
ajst-30887	23	7	assessment	assessment	NOUN
ajst-30887	23	8	during	during	ADP
ajst-30887	23	9	driving	drive	VERB
ajst-30887	23	10	by	by	ADP
ajst-30887	23	11	using	use	VERB
ajst-30887	23	12	the	the	DET
ajst-30887	23	13	bfr	bfr	NOUN
ajst-30887	23	14	(	(	PUNCT
ajst-30887	23	15	blinking	blink	VERB
ajst-30887	23	16	frequency	frequency	NOUN
ajst-30887	23	17	ratio	ratio	NOUN
ajst-30887	23	18	)	)	PUNCT
ajst-30887	23	19	algorithm	algorithm	NOUN
ajst-30887	23	20	and	and	CCONJ
ajst-30887	23	21	head	head	NOUN
ajst-30887	23	22	pose	pose	NOUN
ajst-30887	23	23	algorithm	algorithm	NOUN
ajst-30887	23	24	:	:	PUNCT
ajst-30887	23	25	if	if	SCONJ
ajst-30887	23	26	the	the	DET
ajst-30887	23	27	number	number	NOUN
ajst-30887	23	28	of	of	ADP
ajst-30887	23	29	blinks	blink	NOUN
ajst-30887	23	30	exceeds	exceed	VERB
ajst-30887	23	31	the	the	DET
ajst-30887	23	32	bfr	bfr	NOUN
ajst-30887	23	33	threshold	threshold	NOUN
ajst-30887	23	34	,	,	PUNCT
ajst-30887	23	35	posture	posture	NOUN
ajst-30887	23	36	collection	collection	NOUN
ajst-30887	23	37	is	be	AUX
ajst-30887	23	38	initiated	initiate	VERB
ajst-30887	23	39	,	,	PUNCT
ajst-30887	23	40	and	and	CCONJ
ajst-30887	23	41	a	a	DET
ajst-30887	23	42	pre	pre	ADJ
ajst-30887	23	43	-	-	ADJ
ajst-30887	23	44	trained	trained	ADJ
ajst-30887	23	45	head	head	NOUN
ajst-30887	23	46	pose	pose	NOUN
ajst-30887	23	47	model	model	NOUN
ajst-30887	23	48	is	be	AUX
ajst-30887	23	49	used	use	VERB
ajst-30887	23	50	for	for	ADP
ajst-30887	23	51	evaluation	evaluation	NOUN
ajst-30887	23	52	;	;	PUNCT
ajst-30887	23	53	if	if	SCONJ
ajst-30887	23	54	fatigue	fatigue	NOUN
ajst-30887	23	55	is	be	AUX
ajst-30887	23	56	detected	detect	VERB
ajst-30887	23	57	,	,	PUNCT
ajst-30887	23	58	it	it	PRON
ajst-30887	23	59	alerts	alert	VERB
ajst-30887	23	60	the	the	DET
ajst-30887	23	61	driver	driver	NOUN
ajst-30887	23	62	.	.	PUNCT
ajst-30887	24	1	dong	dong	PROPN
ajst-30887	25	1	bt[18	bt[18	PROPN
ajst-30887	25	2	]	]	X
ajst-30887	25	3	uses	use	VERB
ajst-30887	25	4	a	a	DET
ajst-30887	25	5	single	single	ADJ
ajst-30887	25	6	-	-	PUNCT
ajst-30887	25	7	shot	shot	NOUN
ajst-30887	25	8	scale	scale	NOUN
ajst-30887	25	9	-	-	PUNCT
ajst-30887	25	10	invariant	invariant	ADJ
ajst-30887	25	11	face	face	NOUN
ajst-30887	25	12	detector	detector	NOUN
ajst-30887	25	13	(	(	PUNCT
ajst-30887	25	14	s3fd	s3fd	X
ajst-30887	25	15	)	)	PUNCT
ajst-30887	25	16	to	to	PART
ajst-30887	25	17	detect	detect	VERB
ajst-30887	25	18	faces	face	NOUN
ajst-30887	25	19	in	in	ADP
ajst-30887	25	20	images	image	NOUN
ajst-30887	25	21	,	,	PUNCT
ajst-30887	25	22	and	and	CCONJ
ajst-30887	25	23	then	then	ADV
ajst-30887	25	24	utilizes	utilize	VERB
ajst-30887	25	25	a	a	DET
ajst-30887	25	26	face	face	NOUN
ajst-30887	25	27	alignment	alignment	NOUN
ajst-30887	25	28	network	network	NOUN
ajst-30887	25	29	(	(	PUNCT
ajst-30887	25	30	fan	fan	NOUN
ajst-30887	25	31	)	)	PUNCT
ajst-30887	25	32	to	to	PART
ajst-30887	25	33	extract	extract	VERB
ajst-30887	25	34	facial	facial	ADJ
ajst-30887	25	35	features	feature	NOUN
ajst-30887	25	36	.	.	PUNCT
ajst-30887	26	1	wang	wang	PROPN
ajst-30887	26	2	xy[19	xy[19	PROPN
ajst-30887	26	3	]	]	PUNCT
ajst-30887	26	4	and	and	CCONJ
ajst-30887	26	5	others	other	NOUN
ajst-30887	26	6	used	use	VERB
ajst-30887	26	7	the	the	DET
ajst-30887	26	8	dlib	dlib	NOUN
ajst-30887	26	9	library	library	NOUN
ajst-30887	26	10	to	to	PART
ajst-30887	26	11	extract	extract	VERB
ajst-30887	26	12	the	the	DET
ajst-30887	26	13	coordinates	coordinate	NOUN
ajst-30887	26	14	of	of	ADP
ajst-30887	26	15	facial	facial	ADJ
ajst-30887	26	16	feature	feature	NOUN
ajst-30887	26	17	points	point	NOUN
ajst-30887	26	18	,	,	PUNCT
ajst-30887	26	19	obtain	obtain	VERB
ajst-30887	26	20	the	the	DET
ajst-30887	26	21	feature	feature	NOUN
ajst-30887	26	22	parameters	parameter	NOUN
ajst-30887	26	23	of	of	ADP
ajst-30887	26	24	the	the	DET
ajst-30887	26	25	driver	driver	NOUN
ajst-30887	26	26	's	's	PART
ajst-30887	26	27	eyes	eye	NOUN
ajst-30887	26	28	and	and	CCONJ
ajst-30887	26	29	mouth	mouth	NOUN
ajst-30887	26	30	,	,	PUNCT
ajst-30887	26	31	calculate	calculate	VERB
ajst-30887	26	32	the	the	DET
ajst-30887	26	33	euler	euler	NOUN
ajst-30887	26	34	angle	angle	NOUN
ajst-30887	26	35	parameters	parameter	NOUN
ajst-30887	26	36	of	of	ADP
ajst-30887	26	37	head	head	NOUN
ajst-30887	26	38	posture	posture	NOUN
ajst-30887	26	39	,	,	PUNCT
ajst-30887	26	40	and	and	CCONJ
ajst-30887	26	41	established	establish	VERB
ajst-30887	26	42	a	a	DET
ajst-30887	26	43	fatigue	fatigue	NOUN
ajst-30887	26	44	recognition	recognition	NOUN
ajst-30887	26	45	model	model	NOUN
ajst-30887	26	46	through	through	ADP
ajst-30887	26	47	an	an	DET
ajst-30887	26	48	improved	improved	ADJ
ajst-30887	26	49	multi	multi	ADJ
ajst-30887	26	50	-	-	ADJ
ajst-30887	26	51	task	task	ADJ
ajst-30887	26	52	cascade	cascade	NOUN
ajst-30887	26	53	convolutional	convolutional	ADJ
ajst-30887	26	54	neural	neural	ADJ
ajst-30887	26	55	network	network	NOUN
ajst-30887	26	56	(	(	PUNCT
ajst-30887	26	57	mtcnn	mtcnn	PROPN
ajst-30887	26	58	)	)	PUNCT
ajst-30887	26	59	.	.	PUNCT
ajst-30887	27	1	xiao	xiao	PROPN
ajst-30887	27	2	wc	wc	PROPN
ajst-30887	27	3	et	et	PROPN
ajst-30887	27	4	al[20	al[20	PROPN
ajst-30887	27	5	]	]	PUNCT
ajst-30887	27	6	.	.	PUNCT
ajst-30887	28	1	aimed	aim	VERB
ajst-30887	28	2	to	to	PART
ajst-30887	28	3	maximize	maximize	VERB
ajst-30887	28	4	the	the	DET
ajst-30887	28	5	utilization	utilization	NOUN
ajst-30887	28	6	of	of	ADP
ajst-30887	28	7	driver	driver	NOUN
ajst-30887	28	8	's	's	PART
ajst-30887	28	9	facial	facial	ADJ
ajst-30887	28	10	feature	feature	NOUN
ajst-30887	28	11	information	information	NOUN
ajst-30887	28	12	and	and	CCONJ
ajst-30887	28	13	temporal	temporal	ADJ
ajst-30887	28	14	characteristics	characteristic	NOUN
ajst-30887	28	15	by	by	ADP
ajst-30887	28	16	establishing	establish	VERB
ajst-30887	28	17	a	a	DET
ajst-30887	28	18	spatial	spatial	ADJ
ajst-30887	28	19	pyramid	pyramid	NOUN
ajst-30887	28	20	fusion	fusion	NOUN
ajst-30887	28	21	multi	multi	ADJ
ajst-30887	28	22	-	-	ADJ
ajst-30887	28	23	scale	scale	ADJ
ajst-30887	28	24	feature	feature	NOUN
ajst-30887	28	25	output	output	NOUN
ajst-30887	28	26	(	(	PUNCT
ajst-30887	28	27	spp	spp	NOUN
ajst-30887	28	28	-	-	PUNCT
ajst-30887	28	29	msfo	msfo	NOUN
ajst-30887	28	30	)	)	PUNCT
ajst-30887	28	31	detection	detection	NOUN
ajst-30887	28	32	model	model	NOUN
ajst-30887	28	33	,	,	PUNCT
ajst-30887	28	34	obtaining	obtain	VERB
ajst-30887	28	35	images	image	NOUN
ajst-30887	28	36	of	of	ADP
ajst-30887	28	37	the	the	DET
ajst-30887	28	38	facial	facial	ADJ
ajst-30887	28	39	region	region	NOUN
ajst-30887	28	40	and	and	CCONJ
ajst-30887	28	41	calculating	calculate	VERB
ajst-30887	28	42	the	the	DET
ajst-30887	28	43	aspect	aspect	NOUN
ajst-30887	28	44	ratios	ratio	NOUN
ajst-30887	28	45	of	of	ADP
ajst-30887	28	46	the	the	DET
ajst-30887	28	47	left	left	ADJ
ajst-30887	28	48	eye	eye	NOUN
ajst-30887	28	49	,	,	PUNCT
ajst-30887	28	50	right	right	ADJ
ajst-30887	28	51	eye	eye	NOUN
ajst-30887	28	52	,	,	PUNCT
ajst-30887	28	53	and	and	CCONJ
ajst-30887	28	54	mouth	mouth	NOUN
ajst-30887	28	55	based	base	VERB
ajst-30887	28	56	on	on	ADP
ajst-30887	28	57	the	the	DET
ajst-30887	28	58	coordinates	coordinate	NOUN
ajst-30887	28	59	of	of	ADP
ajst-30887	28	60	key	key	ADJ
ajst-30887	28	61	points	point	NOUN
ajst-30887	28	62	,	,	PUNCT
ajst-30887	28	63	thereby	thereby	ADV
ajst-30887	28	64	forming	form	VERB
ajst-30887	28	65	a	a	DET
ajst-30887	28	66	fatigue	fatigue	NOUN
ajst-30887	28	67	parameter	parameter	NOUN
ajst-30887	28	68	matrix	matrix	NOUN
ajst-30887	28	69	.	.	PUNCT
ajst-30887	29	1	from	from	ADP
ajst-30887	29	2	the	the	DET
ajst-30887	29	3	review	review	NOUN
ajst-30887	29	4	of	of	ADP
ajst-30887	29	5	domestic	domestic	ADJ
ajst-30887	29	6	and	and	CCONJ
ajst-30887	29	7	international	international	ADJ
ajst-30887	29	8	research	research	NOUN
ajst-30887	29	9	on	on	ADP
ajst-30887	29	10	driving	drive	VERB
ajst-30887	29	11	fatigue	fatigue	NOUN
ajst-30887	29	12	,	,	PUNCT
ajst-30887	29	13	it	it	PRON
ajst-30887	29	14	can	can	AUX
ajst-30887	29	15	be	be	AUX
ajst-30887	29	16	seen	see	VERB
ajst-30887	29	17	that	that	SCONJ
ajst-30887	29	18	current	current	ADJ
ajst-30887	29	19	studies	study	NOUN
ajst-30887	29	20	on	on	ADP
ajst-30887	29	21	driving	drive	VERB
ajst-30887	29	22	fatigue	fatigue	NOUN
ajst-30887	29	23	cover	cover	VERB
ajst-30887	29	24	multiple	multiple	ADJ
ajst-30887	29	25	aspects	aspect	NOUN
ajst-30887	29	26	such	such	ADJ
ajst-30887	29	27	as	as	ADP
ajst-30887	29	28	fatigue	fatigue	NOUN
ajst-30887	29	29	evaluation	evaluation	NOUN
ajst-30887	29	30	methods	method	NOUN
ajst-30887	29	31	and	and	CCONJ
ajst-30887	29	32	fatigue	fatigue	NOUN
ajst-30887	29	33	evaluation	evaluation	NOUN
ajst-30887	29	34	indicators	indicator	NOUN
ajst-30887	29	35	.	.	PUNCT
ajst-30887	30	1	these	these	DET
ajst-30887	30	2	findings	finding	NOUN
ajst-30887	30	3	provide	provide	VERB
ajst-30887	30	4	a	a	DET
ajst-30887	30	5	foundation	foundation	NOUN
ajst-30887	30	6	for	for	ADP
ajst-30887	30	7	the	the	DET
ajst-30887	30	8	research	research	NOUN
ajst-30887	30	9	presented	present	VERB
ajst-30887	30	10	in	in	ADP
ajst-30887	30	11	this	this	DET
ajst-30887	30	12	paper	paper	NOUN
ajst-30887	30	13	.	.	PUNCT
ajst-30887	31	1	however	however	ADV
ajst-30887	31	2	,	,	PUNCT
ajst-30887	31	3	there	there	PRON
ajst-30887	31	4	are	be	VERB
ajst-30887	31	5	still	still	ADV
ajst-30887	31	6	some	some	DET
ajst-30887	31	7	issues	issue	NOUN
ajst-30887	31	8	that	that	PRON
ajst-30887	31	9	need	need	VERB
ajst-30887	31	10	further	further	ADJ
ajst-30887	31	11	research	research	NOUN
ajst-30887	31	12	,	,	PUNCT
ajst-30887	31	13	as	as	SCONJ
ajst-30887	31	14	outlined	outline	VERB
ajst-30887	31	15	below	below	ADV
ajst-30887	31	16	:	:	PUNCT
ajst-30887	31	17	currently	currently	ADV
ajst-30887	31	18	,	,	PUNCT
ajst-30887	31	19	there	there	PRON
ajst-30887	31	20	is	be	VERB
ajst-30887	31	21	a	a	DET
ajst-30887	31	22	lot	lot	NOUN
ajst-30887	31	23	of	of	ADP
ajst-30887	31	24	literature	literature	NOUN
ajst-30887	31	25	on	on	ADP
ajst-30887	31	26	fatigue	fatigue	NOUN
ajst-30887	31	27	driving	drive	VERB
ajst-30887	31	28	analysis	analysis	NOUN
ajst-30887	31	29	both	both	CCONJ
ajst-30887	31	30	domestically	domestically	ADV
ajst-30887	31	31	and	and	CCONJ
ajst-30887	31	32	internationally	internationally	ADV
ajst-30887	31	33	.	.	PUNCT
ajst-30887	32	1	however	however	ADV
ajst-30887	32	2	,	,	PUNCT
ajst-30887	32	3	there	there	PRON
ajst-30887	32	4	has	have	AUX
ajst-30887	32	5	been	be	AUX
ajst-30887	32	6	no	no	DET
ajst-30887	32	7	dedicated	dedicated	ADJ
ajst-30887	32	8	discussion	discussion	NOUN
ajst-30887	32	9	on	on	ADP
ajst-30887	32	10	the	the	DET
ajst-30887	32	11	characteristics	characteristic	NOUN
ajst-30887	32	12	of	of	ADP
ajst-30887	32	13	driver	driver	NOUN
ajst-30887	32	14	fatigue	fatigue	NOUN
ajst-30887	32	15	eye	eye	NOUN
ajst-30887	32	16	movements	movement	NOUN
ajst-30887	32	17	in	in	ADP
ajst-30887	32	18	the	the	DET
ajst-30887	32	19	context	context	NOUN
ajst-30887	32	20	of	of	ADP
ajst-30887	32	21	the	the	DET
ajst-30887	32	22	latest	late	ADJ
ajst-30887	32	23	intelligent	intelligent	ADJ
ajst-30887	32	24	supervision	supervision	NOUN
ajst-30887	32	25	environment	environment	NOUN
ajst-30887	32	26	.	.	PUNCT
ajst-30887	33	1	nevertheless	nevertheless	ADV
ajst-30887	33	2	,	,	PUNCT
ajst-30887	33	3	this	this	DET
ajst-30887	33	4	research	research	NOUN
ajst-30887	33	5	is	be	AUX
ajst-30887	33	6	of	of	ADP
ajst-30887	33	7	great	great	ADJ
ajst-30887	33	8	significance	significance	NOUN
ajst-30887	33	9	for	for	ADP
ajst-30887	33	10	monitoring	monitor	VERB
ajst-30887	33	11	driving	drive	VERB
ajst-30887	33	12	fatigue	fatigue	NOUN
ajst-30887	33	13	in	in	ADP
ajst-30887	33	14	the	the	DET
ajst-30887	33	15	context	context	NOUN
ajst-30887	33	16	of	of	ADP
ajst-30887	33	17	intelligent	intelligent	ADJ
ajst-30887	33	18	connected	connected	ADJ
ajst-30887	33	19	environments	environment	NOUN
ajst-30887	33	20	.	.	PUNCT
ajst-30887	34	1	3	3	X
ajst-30887	34	2	.	.	X
ajst-30887	34	3	research	research	NOUN
ajst-30887	34	4	methods	method	NOUN
ajst-30887	34	5	principal	principal	ADJ
ajst-30887	34	6	component	component	NOUN
ajst-30887	34	7	analysis	analysis	NOUN
ajst-30887	34	8	(	(	PUNCT
ajst-30887	34	9	pca	pca	NOUN
ajst-30887	34	10	)	)	PUNCT
ajst-30887	34	11	is	be	AUX
ajst-30887	34	12	a	a	DET
ajst-30887	34	13	commonly	commonly	ADV
ajst-30887	34	14	used	use	VERB
ajst-30887	34	15	64	64	NUM
ajst-30887	34	16	method	method	NOUN
ajst-30887	34	17	for	for	ADP
ajst-30887	34	18	data	data	NOUN
ajst-30887	34	19	dimensionality	dimensionality	NOUN
ajst-30887	34	20	reduction	reduction	NOUN
ajst-30887	34	21	and	and	CCONJ
ajst-30887	34	22	feature	feature	NOUN
ajst-30887	34	23	extraction	extraction	NOUN
ajst-30887	34	24	.	.	PUNCT
ajst-30887	35	1	it	it	PRON
ajst-30887	35	2	transforms	transform	VERB
ajst-30887	35	3	the	the	DET
ajst-30887	35	4	original	original	ADJ
ajst-30887	35	5	data	datum	NOUN
ajst-30887	35	6	into	into	ADP
ajst-30887	35	7	a	a	DET
ajst-30887	35	8	set	set	NOUN
ajst-30887	35	9	of	of	ADP
ajst-30887	35	10	new	new	ADJ
ajst-30887	35	11	variables	variable	NOUN
ajst-30887	35	12	,	,	PUNCT
ajst-30887	35	13	which	which	PRON
ajst-30887	35	14	are	be	AUX
ajst-30887	35	15	linear	linear	ADJ
ajst-30887	35	16	combinations	combination	NOUN
ajst-30887	35	17	of	of	ADP
ajst-30887	35	18	the	the	DET
ajst-30887	35	19	original	original	ADJ
ajst-30887	35	20	data	datum	NOUN
ajst-30887	35	21	.	.	PUNCT
ajst-30887	36	1	each	each	DET
ajst-30887	36	2	new	new	ADJ
ajst-30887	36	3	variable	variable	NOUN
ajst-30887	36	4	contains	contain	VERB
ajst-30887	36	5	a	a	DET
ajst-30887	36	6	portion	portion	NOUN
ajst-30887	36	7	of	of	ADP
ajst-30887	36	8	information	information	NOUN
ajst-30887	36	9	from	from	ADP
ajst-30887	36	10	the	the	DET
ajst-30887	36	11	original	original	ADJ
ajst-30887	36	12	data	datum	NOUN
ajst-30887	36	13	,	,	PUNCT
ajst-30887	36	14	and	and	CCONJ
ajst-30887	36	15	the	the	DET
ajst-30887	36	16	new	new	ADJ
ajst-30887	36	17	variables	variable	NOUN
ajst-30887	36	18	are	be	AUX
ajst-30887	36	19	independent	independent	ADJ
ajst-30887	36	20	of	of	ADP
ajst-30887	36	21	each	each	DET
ajst-30887	36	22	other	other	ADJ
ajst-30887	36	23	.	.	PUNCT
ajst-30887	37	1	these	these	DET
ajst-30887	37	2	new	new	ADJ
ajst-30887	37	3	variables	variable	NOUN
ajst-30887	37	4	are	be	AUX
ajst-30887	37	5	called	call	VERB
ajst-30887	37	6	principal	principal	ADJ
ajst-30887	37	7	components	component	NOUN
ajst-30887	37	8	.	.	PUNCT
ajst-30887	38	1	by	by	ADP
ajst-30887	38	2	selecting	select	VERB
ajst-30887	38	3	the	the	DET
ajst-30887	38	4	first	first	ADJ
ajst-30887	38	5	few	few	ADJ
ajst-30887	38	6	principal	principal	ADJ
ajst-30887	38	7	components	component	NOUN
ajst-30887	38	8	,	,	PUNCT
ajst-30887	38	9	it	it	PRON
ajst-30887	38	10	is	be	AUX
ajst-30887	38	11	possible	possible	ADJ
ajst-30887	38	12	to	to	PART
ajst-30887	38	13	compress	compress	VERB
ajst-30887	38	14	and	and	CCONJ
ajst-30887	38	15	reduce	reduce	VERB
ajst-30887	38	16	the	the	DET
ajst-30887	38	17	dimensionality	dimensionality	NOUN
ajst-30887	38	18	of	of	ADP
ajst-30887	38	19	the	the	DET
ajst-30887	38	20	original	original	ADJ
ajst-30887	38	21	data	datum	NOUN
ajst-30887	38	22	,	,	PUNCT
ajst-30887	38	23	making	make	VERB
ajst-30887	38	24	data	datum	NOUN
ajst-30887	38	25	analysis	analysis	NOUN
ajst-30887	38	26	and	and	CCONJ
ajst-30887	38	27	visualization	visualization	NOUN
ajst-30887	38	28	more	more	ADV
ajst-30887	38	29	convenient	convenient	ADJ
ajst-30887	38	30	.	.	PUNCT
ajst-30887	39	1	by	by	ADP
ajst-30887	39	2	the	the	DET
ajst-30887	39	3	above	above	ADJ
ajst-30887	39	4	method	method	NOUN
ajst-30887	39	5	,	,	PUNCT
ajst-30887	39	6	the	the	DET
ajst-30887	39	7	original	original	ADJ
ajst-30887	39	8	high	high	ADJ
ajst-30887	39	9	-	-	PUNCT
ajst-30887	39	10	dimensional	dimensional	ADJ
ajst-30887	39	11	data	datum	NOUN
ajst-30887	39	12	can	can	AUX
ajst-30887	39	13	be	be	AUX
ajst-30887	39	14	reduced	reduce	VERB
ajst-30887	39	15	to	to	ADP
ajst-30887	39	16	a	a	DET
ajst-30887	39	17	few	few	ADJ
ajst-30887	39	18	principal	principal	ADJ
ajst-30887	39	19	components	component	NOUN
ajst-30887	39	20	.	.	PUNCT
ajst-30887	40	1	during	during	ADP
ajst-30887	40	2	this	this	DET
ajst-30887	40	3	process	process	NOUN
ajst-30887	40	4	,	,	PUNCT
ajst-30887	40	5	although	although	SCONJ
ajst-30887	40	6	the	the	DET
ajst-30887	40	7	original	original	ADJ
ajst-30887	40	8	feature	feature	NOUN
ajst-30887	40	9	space	space	NOUN
ajst-30887	40	10	may	may	AUX
ajst-30887	40	11	be	be	AUX
ajst-30887	40	12	compromised	compromise	VERB
ajst-30887	40	13	,	,	PUNCT
ajst-30887	40	14	principal	principal	ADJ
ajst-30887	40	15	component	component	NOUN
ajst-30887	40	16	analysis	analysis	NOUN
ajst-30887	40	17	can	can	AUX
ajst-30887	40	18	yield	yield	VERB
ajst-30887	40	19	principal	principal	ADJ
ajst-30887	40	20	components	component	NOUN
ajst-30887	40	21	that	that	PRON
ajst-30887	40	22	contain	contain	VERB
ajst-30887	40	23	the	the	DET
ajst-30887	40	24	weight	weight	NOUN
ajst-30887	40	25	information	information	NOUN
ajst-30887	40	26	of	of	ADP
ajst-30887	40	27	each	each	DET
ajst-30887	40	28	original	original	ADJ
ajst-30887	40	29	feature	feature	NOUN
ajst-30887	40	30	,	,	PUNCT
ajst-30887	40	31	thus	thus	ADV
ajst-30887	40	32	still	still	ADV
ajst-30887	40	33	effectively	effectively	ADV
ajst-30887	40	34	reflecting	reflect	VERB
ajst-30887	40	35	the	the	DET
ajst-30887	40	36	information	information	NOUN
ajst-30887	40	37	of	of	ADP
ajst-30887	40	38	the	the	DET
ajst-30887	40	39	original	original	ADJ
ajst-30887	40	40	data	datum	NOUN
ajst-30887	40	41	.	.	PUNCT
ajst-30887	41	1	the	the	DET
ajst-30887	41	2	corresponding	corresponding	ADJ
ajst-30887	41	3	principal	principal	ADJ
ajst-30887	41	4	components	component	NOUN
ajst-30887	41	5	are	be	AUX
ajst-30887	41	6	arranged	arrange	VERB
ajst-30887	41	7	in	in	ADP
ajst-30887	41	8	order	order	NOUN
ajst-30887	41	9	of	of	ADP
ajst-30887	41	10	the	the	DET
ajst-30887	41	11	corresponding	corresponding	ADJ
ajst-30887	41	12	feature	feature	NOUN
ajst-30887	41	13	values	value	NOUN
ajst-30887	41	14	from	from	ADP
ajst-30887	41	15	largest	large	ADJ
ajst-30887	41	16	to	to	PART
ajst-30887	41	17	smallest	smallest	VERB
ajst-30887	41	18	.	.	PUNCT
ajst-30887	42	1	usually	usually	ADV
ajst-30887	42	2	,	,	PUNCT
ajst-30887	42	3	the	the	DET
ajst-30887	42	4	p	p	X
ajst-30887	42	5	(	(	PUNCT
ajst-30887	42	6	p≤0	p≤0	PROPN
ajst-30887	42	7	)	)	PUNCT
ajst-30887	42	8	principal	principal	ADJ
ajst-30887	42	9	components	component	NOUN
ajst-30887	42	10	corresponding	correspond	VERB
ajst-30887	42	11	to	to	ADP
ajst-30887	42	12	the	the	DET
ajst-30887	42	13	feature	feature	NOUN
ajst-30887	42	14	values	value	NOUN
ajst-30887	42	15	with	with	ADP
ajst-30887	42	16	a	a	DET
ajst-30887	42	17	cumulative	cumulative	ADJ
ajst-30887	42	18	contribution	contribution	NOUN
ajst-30887	42	19	rate	rate	NOUN
ajst-30887	42	20	of	of	ADP
ajst-30887	42	21	over	over	ADP
ajst-30887	42	22	85	85	NUM
ajst-30887	42	23	%	%	NOUN
ajst-30887	42	24	or	or	CCONJ
ajst-30887	42	25	95	95	NUM
ajst-30887	42	26	%	%	NOUN
ajst-30887	42	27	can	can	AUX
ajst-30887	42	28	contain	contain	VERB
ajst-30887	42	29	all	all	DET
ajst-30887	42	30	the	the	DET
ajst-30887	42	31	information	information	NOUN
ajst-30887	42	32	of	of	ADP
ajst-30887	42	33	the	the	DET
ajst-30887	42	34	original	original	ADJ
ajst-30887	42	35	features	feature	NOUN
ajst-30887	42	36	.	.	PUNCT
ajst-30887	43	1	by	by	ADP
ajst-30887	43	2	using	use	VERB
ajst-30887	43	3	principal	principal	ADJ
ajst-30887	43	4	component	component	NOUN
ajst-30887	43	5	analysis	analysis	NOUN
ajst-30887	43	6	,	,	PUNCT
ajst-30887	43	7	redundant	redundant	ADJ
ajst-30887	43	8	information	information	NOUN
ajst-30887	43	9	in	in	ADP
ajst-30887	43	10	the	the	DET
ajst-30887	43	11	original	original	ADJ
ajst-30887	43	12	data	datum	NOUN
ajst-30887	43	13	can	can	AUX
ajst-30887	43	14	be	be	AUX
ajst-30887	43	15	eliminated	eliminate	VERB
ajst-30887	43	16	,	,	PUNCT
ajst-30887	43	17	and	and	CCONJ
ajst-30887	43	18	the	the	DET
ajst-30887	43	19	main	main	ADJ
ajst-30887	43	20	components	component	NOUN
ajst-30887	43	21	of	of	ADP
ajst-30887	43	22	the	the	DET
ajst-30887	43	23	data	datum	NOUN
ajst-30887	43	24	can	can	AUX
ajst-30887	43	25	be	be	AUX
ajst-30887	43	26	extracted	extract	VERB
ajst-30887	43	27	,	,	PUNCT
ajst-30887	43	28	allowing	allow	VERB
ajst-30887	43	29	for	for	ADP
ajst-30887	43	30	a	a	DET
ajst-30887	43	31	better	well	ADJ
ajst-30887	43	32	understanding	understanding	NOUN
ajst-30887	43	33	of	of	ADP
ajst-30887	43	34	the	the	DET
ajst-30887	43	35	structure	structure	NOUN
ajst-30887	43	36	and	and	CCONJ
ajst-30887	43	37	patterns	pattern	NOUN
ajst-30887	43	38	of	of	ADP
ajst-30887	43	39	the	the	DET
ajst-30887	43	40	data	datum	NOUN
ajst-30887	43	41	.	.	PUNCT
ajst-30887	44	1	4	4	X
ajst-30887	44	2	.	.	X
ajst-30887	44	3	research	research	NOUN
ajst-30887	44	4	conclusion	conclusion	NOUN
ajst-30887	44	5	and	and	CCONJ
ajst-30887	44	6	discussion	discussion	NOUN
ajst-30887	44	7	the	the	DET
ajst-30887	44	8	research	research	NOUN
ajst-30887	44	9	content	content	NOUN
ajst-30887	44	10	of	of	ADP
ajst-30887	44	11	this	this	DET
ajst-30887	44	12	paper	paper	NOUN
ajst-30887	44	13	is	be	AUX
ajst-30887	44	14	the	the	DET
ajst-30887	44	15	driving	drive	VERB
ajst-30887	44	16	fatigue	fatigue	NOUN
ajst-30887	44	17	characteristics	characteristic	NOUN
ajst-30887	44	18	under	under	ADP
ajst-30887	44	19	the	the	DET
ajst-30887	44	20	supervision	supervision	NOUN
ajst-30887	44	21	platform	platform	NOUN
ajst-30887	44	22	environment	environment	NOUN
ajst-30887	44	23	,	,	PUNCT
ajst-30887	44	24	so	so	ADV
ajst-30887	44	25	the	the	DET
ajst-30887	44	26	principal	principal	ADJ
ajst-30887	44	27	component	component	NOUN
ajst-30887	44	28	analysis	analysis	NOUN
ajst-30887	44	29	data	datum	NOUN
ajst-30887	44	30	is	be	AUX
ajst-30887	44	31	the	the	DET
ajst-30887	44	32	eye	eye	NOUN
ajst-30887	44	33	movement	movement	NOUN
ajst-30887	44	34	data	datum	NOUN
ajst-30887	44	35	of	of	ADP
ajst-30887	44	36	the	the	DET
ajst-30887	44	37	driver	driver	NOUN
ajst-30887	44	38	in	in	ADP
ajst-30887	44	39	the	the	DET
ajst-30887	44	40	experimental	experimental	ADJ
ajst-30887	44	41	group	group	NOUN
ajst-30887	44	42	,	,	PUNCT
ajst-30887	44	43	and	and	CCONJ
ajst-30887	44	44	the	the	DET
ajst-30887	44	45	eye	eye	NOUN
ajst-30887	44	46	movement	movement	NOUN
ajst-30887	44	47	data	datum	NOUN
ajst-30887	44	48	is	be	AUX
ajst-30887	44	49	obtained	obtain	VERB
ajst-30887	44	50	by	by	ADP
ajst-30887	44	51	the	the	DET
ajst-30887	44	52	laboratory	laboratory	NOUN
ajst-30887	44	53	simulation	simulation	NOUN
ajst-30887	44	54	experiment	experiment	NOUN
ajst-30887	44	55	.	.	PUNCT
ajst-30887	45	1	4.1	4.1	NUM
ajst-30887	45	2	.	.	PUNCT
ajst-30887	45	3	analysis	analysis	NOUN
ajst-30887	45	4	of	of	ADP
ajst-30887	45	5	research	research	NOUN
ajst-30887	45	6	results	result	NOUN
ajst-30887	45	7	first	first	ADV
ajst-30887	45	8	,	,	PUNCT
ajst-30887	45	9	it	it	PRON
ajst-30887	45	10	is	be	AUX
ajst-30887	45	11	necessary	necessary	ADJ
ajst-30887	45	12	to	to	PART
ajst-30887	45	13	determine	determine	VERB
ajst-30887	45	14	whether	whether	SCONJ
ajst-30887	45	15	the	the	DET
ajst-30887	45	16	data	datum	NOUN
ajst-30887	45	17	meets	meet	VERB
ajst-30887	45	18	the	the	DET
ajst-30887	45	19	conditions	condition	NOUN
ajst-30887	45	20	for	for	ADP
ajst-30887	45	21	using	use	VERB
ajst-30887	45	22	principal	principal	ADJ
ajst-30887	45	23	component	component	NOUN
ajst-30887	45	24	analysis	analysis	NOUN
ajst-30887	45	25	.	.	PUNCT
ajst-30887	46	1	in	in	ADP
ajst-30887	46	2	this	this	DET
ajst-30887	46	3	study	study	NOUN
ajst-30887	46	4	,	,	PUNCT
ajst-30887	46	5	six	six	NUM
ajst-30887	46	6	original	original	ADJ
ajst-30887	46	7	variables	variable	NOUN
ajst-30887	46	8	of	of	ADP
ajst-30887	46	9	eye	eye	NOUN
ajst-30887	46	10	movement	movement	NOUN
ajst-30887	46	11	data	datum	NOUN
ajst-30887	46	12	were	be	AUX
ajst-30887	46	13	used	use	VERB
ajst-30887	46	14	,	,	PUNCT
ajst-30887	46	15	including	include	VERB
ajst-30887	46	16	fixation	fixation	NOUN
ajst-30887	46	17	time	time	NOUN
ajst-30887	46	18	,	,	PUNCT
ajst-30887	46	19	fixation	fixation	NOUN
ajst-30887	46	20	count	count	NOUN
ajst-30887	46	21	,	,	PUNCT
ajst-30887	46	22	saccade	saccade	NOUN
ajst-30887	46	23	count	count	NOUN
ajst-30887	46	24	,	,	PUNCT
ajst-30887	46	25	average	average	ADJ
ajst-30887	46	26	saccade	saccade	NOUN
ajst-30887	46	27	speed	speed	NOUN
ajst-30887	46	28	,	,	PUNCT
ajst-30887	46	29	pupil	pupil	NOUN
ajst-30887	46	30	diameter	diameter	NOUN
ajst-30887	46	31	and	and	CCONJ
ajst-30887	46	32	blink	blink	VERB
ajst-30887	46	33	count.in	count.in	PUNCT
ajst-30887	46	34	order	order	NOUN
ajst-30887	46	35	to	to	PART
ajst-30887	46	36	perform	perform	VERB
ajst-30887	46	37	principal	principal	ADJ
ajst-30887	46	38	component	component	NOUN
ajst-30887	46	39	analysis	analysis	NOUN
ajst-30887	46	40	,	,	PUNCT
ajst-30887	46	41	these	these	DET
ajst-30887	46	42	data	datum	NOUN
ajst-30887	46	43	need	need	VERB
ajst-30887	46	44	to	to	PART
ajst-30887	46	45	be	be	AUX
ajst-30887	46	46	z	z	NOUN
ajst-30887	46	47	-	-	PUNCT
ajst-30887	46	48	standardized	standardized	ADJ
ajst-30887	46	49	so	so	SCONJ
ajst-30887	46	50	that	that	SCONJ
ajst-30887	46	51	their	their	PRON
ajst-30887	46	52	mean	mean	NOUN
ajst-30887	46	53	is	be	AUX
ajst-30887	46	54	0	0	NUM
ajst-30887	46	55	and	and	CCONJ
ajst-30887	46	56	the	the	DET
ajst-30887	46	57	standard	standard	ADJ
ajst-30887	46	58	deviation	deviation	NOUN
ajst-30887	46	59	is	be	AUX
ajst-30887	46	60	1	1	NUM
ajst-30887	46	61	.	.	PUNCT
ajst-30887	47	1	next	next	ADJ
ajst-30887	47	2	,	,	PUNCT
ajst-30887	47	3	bartlett	bartlett	PROPN
ajst-30887	47	4	's	's	PART
ajst-30887	47	5	sphericity	sphericity	NOUN
ajst-30887	47	6	test	test	NOUN
ajst-30887	47	7	is	be	AUX
ajst-30887	47	8	needed	need	VERB
ajst-30887	47	9	to	to	PART
ajst-30887	47	10	check	check	VERB
ajst-30887	47	11	whether	whether	SCONJ
ajst-30887	47	12	there	there	PRON
ajst-30887	47	13	is	be	VERB
ajst-30887	47	14	a	a	DET
ajst-30887	47	15	spherical	spherical	ADJ
ajst-30887	47	16	skewness	skewness	NOUN
ajst-30887	47	17	between	between	ADP
ajst-30887	47	18	the	the	DET
ajst-30887	47	19	original	original	ADJ
ajst-30887	47	20	variables	variable	NOUN
ajst-30887	47	21	,	,	PUNCT
ajst-30887	47	22	that	that	ADV
ajst-30887	47	23	is	is	ADV
ajst-30887	47	24	,	,	PUNCT
ajst-30887	47	25	whether	whether	SCONJ
ajst-30887	47	26	there	there	PRON
ajst-30887	47	27	is	be	VERB
ajst-30887	47	28	multicollinearity	multicollinearity	NOUN
ajst-30887	47	29	.	.	PUNCT
ajst-30887	48	1	the	the	DET
ajst-30887	48	2	test	test	NOUN
ajst-30887	48	3	results	result	NOUN
ajst-30887	48	4	are	be	AUX
ajst-30887	48	5	shown	show	VERB
ajst-30887	48	6	in	in	ADP
ajst-30887	48	7	table	table	NOUN
ajst-30887	48	8	3	3	NUM
ajst-30887	48	9	-	-	SYM
ajst-30887	48	10	2	2	NUM
ajst-30887	48	11	,	,	PUNCT
ajst-30887	48	12	p	p	X
ajst-30887	48	13	<	<	X
ajst-30887	48	14	0.05	0.05	NUM
ajst-30887	48	15	,	,	PUNCT
ajst-30887	48	16	indicating	indicate	VERB
ajst-30887	48	17	that	that	SCONJ
ajst-30887	48	18	there	there	PRON
ajst-30887	48	19	is	be	VERB
ajst-30887	48	20	a	a	DET
ajst-30887	48	21	correlation	correlation	NOUN
ajst-30887	48	22	between	between	ADP
ajst-30887	48	23	the	the	DET
ajst-30887	48	24	original	original	ADJ
ajst-30887	48	25	variables	variable	NOUN
ajst-30887	48	26	.	.	PUNCT
ajst-30887	49	1	the	the	DET
ajst-30887	49	2	kmo	kmo	PROPN
ajst-30887	49	3	value	value	NOUN
ajst-30887	49	4	is	be	AUX
ajst-30887	49	5	0.889	0.889	NUM
ajst-30887	49	6	,	,	PUNCT
ajst-30887	49	7	which	which	PRON
ajst-30887	49	8	is	be	AUX
ajst-30887	49	9	within	within	ADP
ajst-30887	49	10	the	the	DET
ajst-30887	49	11	general	general	ADJ
ajst-30887	49	12	appropriate	appropriate	ADJ
ajst-30887	49	13	range	range	NOUN
ajst-30887	49	14	,	,	PUNCT
ajst-30887	49	15	indicating	indicate	VERB
ajst-30887	49	16	that	that	SCONJ
ajst-30887	49	17	it	it	PRON
ajst-30887	49	18	is	be	AUX
ajst-30887	49	19	suitable	suitable	ADJ
ajst-30887	49	20	for	for	ADP
ajst-30887	49	21	principal	principal	ADJ
ajst-30887	49	22	component	component	NOUN
ajst-30887	49	23	analysis	analysis	NOUN
ajst-30887	49	24	.	.	PUNCT
ajst-30887	50	1	finally	finally	ADV
ajst-30887	50	2	,	,	PUNCT
ajst-30887	50	3	two	two	NUM
ajst-30887	50	4	new	new	ADJ
ajst-30887	50	5	comprehensive	comprehensive	ADJ
ajst-30887	50	6	indicators	indicator	NOUN
ajst-30887	50	7	were	be	AUX
ajst-30887	50	8	obtained	obtain	VERB
ajst-30887	50	9	by	by	ADP
ajst-30887	50	10	principal	principal	ADJ
ajst-30887	50	11	component	component	NOUN
ajst-30887	50	12	analysis	analysis	NOUN
ajst-30887	50	13	,	,	PUNCT
ajst-30887	50	14	which	which	PRON
ajst-30887	50	15	explained	explain	VERB
ajst-30887	50	16	59.27	59.27	NUM
ajst-30887	50	17	%	%	NOUN
ajst-30887	50	18	and	and	CCONJ
ajst-30887	50	19	18.35	18.35	NUM
ajst-30887	50	20	%	%	NOUN
ajst-30887	50	21	of	of	ADP
ajst-30887	50	22	the	the	DET
ajst-30887	50	23	variance	variance	NOUN
ajst-30887	50	24	of	of	ADP
ajst-30887	50	25	eye	eye	NOUN
ajst-30887	50	26	movement	movement	NOUN
ajst-30887	50	27	data	datum	NOUN
ajst-30887	50	28	respectively	respectively	ADV
ajst-30887	50	29	.	.	PUNCT
ajst-30887	51	1	the	the	DET
ajst-30887	51	2	specific	specific	ADJ
ajst-30887	51	3	results	result	NOUN
ajst-30887	51	4	are	be	AUX
ajst-30887	51	5	shown	show	VERB
ajst-30887	51	6	in	in	ADP
ajst-30887	51	7	table	table	NOUN
ajst-30887	51	8	1	1	NUM
ajst-30887	51	9	,	,	PUNCT
ajst-30887	51	10	table	table	NOUN
ajst-30887	51	11	2	2	NUM
ajst-30887	51	12	,	,	PUNCT
ajst-30887	51	13	table	table	NOUN
ajst-30887	51	14	3and	3and	NUM
ajst-30887	51	15	figure	figure	NOUN
ajst-30887	51	16	1	1	NUM
ajst-30887	51	17	.	.	PUNCT
ajst-30887	51	18	table	table	NOUN
ajst-30887	51	19	1	1	NUM
ajst-30887	51	20	.	.	PUNCT
ajst-30887	52	1	kmo	kmo	PROPN
ajst-30887	52	2	and	and	CCONJ
ajst-30887	52	3	bartlett	bartlett	PROPN
ajst-30887	52	4	test	test	NOUN
ajst-30887	52	5	of	of	ADP
ajst-30887	52	6	eye	eye	NOUN
ajst-30887	52	7	tracking	track	VERB
ajst-30887	52	8	data	datum	NOUN
ajst-30887	52	9	kmo	kmo	NOUN
ajst-30887	52	10	sampling	sample	VERB
ajst-30887	52	11	suitability	suitability	NOUN
ajst-30887	52	12	quantity	quantity	NOUN
ajst-30887	52	13	.889	.889	NUM
ajst-30887	52	14	bartlett	bartlett	PROPN
ajst-30887	52	15	sphericity	sphericity	PROPN
ajst-30887	52	16	test	test	NOUN
ajst-30887	52	17	approximate	approximate	ADJ
ajst-30887	52	18	chi	chi	ADJ
ajst-30887	52	19	-	-	PUNCT
ajst-30887	52	20	square	square	ADJ
ajst-30887	52	21	168.989	168.989	NUM
ajst-30887	52	22	degree	degree	NOUN
ajst-30887	52	23	of	of	ADP
ajst-30887	52	24	freedom	freedom	NOUN
ajst-30887	52	25	21	21	NUM
ajst-30887	52	26	significance	significance	NOUN
ajst-30887	52	27	0.000	0.000	NUM
ajst-30887	52	28	table	table	NOUN
ajst-30887	52	29	2	2	NUM
ajst-30887	52	30	.	.	PUNCT
ajst-30887	52	31	common	common	ADJ
ajst-30887	52	32	factor	factor	NOUN
ajst-30887	52	33	variance	variance	NOUN
ajst-30887	52	34	of	of	ADP
ajst-30887	52	35	eye	eye	NOUN
ajst-30887	52	36	tracking	track	VERB
ajst-30887	52	37	data	datum	NOUN
ajst-30887	52	38	initial	initial	ADJ
ajst-30887	52	39	value	value	NOUN
ajst-30887	52	40	extraction	extraction	NOUN
ajst-30887	52	41	fixation	fixation	NOUN
ajst-30887	52	42	time	time	NOUN
ajst-30887	52	43	1.000	1.000	NUM
ajst-30887	52	44	0.723	0.723	NUM
ajst-30887	52	45	the	the	DET
ajst-30887	52	46	number	number	NOUN
ajst-30887	52	47	of	of	ADP
ajst-30887	52	48	watch	watch	NOUN
ajst-30887	52	49	1.000	1.000	NUM
ajst-30887	52	50	0.755	0.755	NUM
ajst-30887	52	51	number	number	NOUN
ajst-30887	52	52	of	of	ADP
ajst-30887	52	53	glances	glance	VERB
ajst-30887	52	54	1.000	1.000	NUM
ajst-30887	52	55	0.756	0.756	NUM
ajst-30887	52	56	average	average	ADJ
ajst-30887	52	57	speed	speed	NOUN
ajst-30887	52	58	of	of	ADP
ajst-30887	52	59	saccades	saccade	NOUN
ajst-30887	52	60	1.000	1.000	NUM
ajst-30887	52	61	0.736	0.736	NUM
ajst-30887	52	62	pupil	pupil	NOUN
ajst-30887	52	63	diameter	diameter	NOUN
ajst-30887	52	64	1.000	1.000	NUM
ajst-30887	52	65	0.764	0.764	NUM
ajst-30887	52	66	blink	blink	NOUN
ajst-30887	52	67	times	time	NOUN
ajst-30887	52	68	1.000	1.000	NUM
ajst-30887	52	69	0.763	0.763	NUM
ajst-30887	52	70	the	the	DET
ajst-30887	52	71	common	common	ADJ
ajst-30887	52	72	factor	factor	NOUN
ajst-30887	52	73	variance	variance	NOUN
ajst-30887	52	74	represents	represent	VERB
ajst-30887	52	75	the	the	DET
ajst-30887	52	76	degree	degree	NOUN
ajst-30887	52	77	to	to	PART
ajst-30887	52	78	which	which	PRON
ajst-30887	52	79	the	the	DET
ajst-30887	52	80	information	information	NOUN
ajst-30887	52	81	contained	contain	VERB
ajst-30887	52	82	in	in	ADP
ajst-30887	52	83	each	each	DET
ajst-30887	52	84	variable	variable	NOUN
ajst-30887	52	85	can	can	AUX
ajst-30887	52	86	be	be	AUX
ajst-30887	52	87	represented	represent	VERB
ajst-30887	52	88	by	by	ADP
ajst-30887	52	89	the	the	DET
ajst-30887	52	90	extracted	extract	VERB
ajst-30887	52	91	principal	principal	ADJ
ajst-30887	52	92	component	component	NOUN
ajst-30887	52	93	,	,	PUNCT
ajst-30887	52	94	also	also	ADV
ajst-30887	52	95	known	know	VERB
ajst-30887	52	96	as	as	ADP
ajst-30887	52	97	'	'	PUNCT
ajst-30887	52	98	common	common	ADJ
ajst-30887	52	99	degree	degree	NOUN
ajst-30887	52	100	'	'	PUNCT
ajst-30887	52	101	.the	.the	DET
ajst-30887	52	102	'	'	PUNCT
ajst-30887	52	103	initial	initial	ADJ
ajst-30887	52	104	value	value	NOUN
ajst-30887	52	105	'	'	PUNCT
ajst-30887	52	106	indicates	indicate	VERB
ajst-30887	52	107	that	that	SCONJ
ajst-30887	52	108	the	the	DET
ajst-30887	52	109	demonstration	demonstration	NOUN
ajst-30887	52	110	information	information	NOUN
ajst-30887	52	111	of	of	ADP
ajst-30887	52	112	each	each	DET
ajst-30887	52	113	variable	variable	NOUN
ajst-30887	52	114	is	be	AUX
ajst-30887	52	115	1	1	NUM
ajst-30887	52	116	,	,	PUNCT
ajst-30887	52	117	that	that	ADV
ajst-30887	52	118	is	is	ADV
ajst-30887	52	119	,	,	PUNCT
ajst-30887	52	120	100	100	NUM
ajst-30887	52	121	%	%	NOUN
ajst-30887	52	122	.the	.the	PRON
ajst-30887	52	123	'	'	PUNCT
ajst-30887	52	124	extraction	extraction	NOUN
ajst-30887	52	125	'	'	PUNCT
ajst-30887	52	126	column	column	NOUN
ajst-30887	52	127	indicates	indicate	VERB
ajst-30887	52	128	the	the	DET
ajst-30887	52	129	degree	degree	NOUN
ajst-30887	52	130	to	to	PART
ajst-30887	52	131	which	which	PRON
ajst-30887	52	132	the	the	DET
ajst-30887	52	133	variance	variance	NOUN
ajst-30887	52	134	of	of	ADP
ajst-30887	52	135	the	the	DET
ajst-30887	52	136	variable	variable	NOUN
ajst-30887	52	137	can	can	AUX
ajst-30887	52	138	be	be	AUX
ajst-30887	52	139	expressed	express	VERB
ajst-30887	52	140	by	by	ADP
ajst-30887	52	141	the	the	DET
ajst-30887	52	142	principal	principal	ADJ
ajst-30887	52	143	component	component	NOUN
ajst-30887	52	144	.	.	PUNCT
ajst-30887	53	1	it	it	PRON
ajst-30887	53	2	can	can	AUX
ajst-30887	53	3	be	be	AUX
ajst-30887	53	4	seen	see	VERB
ajst-30887	53	5	that	that	SCONJ
ajst-30887	53	6	the	the	DET
ajst-30887	53	7	variance	variance	NOUN
ajst-30887	53	8	of	of	ADP
ajst-30887	53	9	the	the	DET
ajst-30887	53	10	variable	variable	NOUN
ajst-30887	53	11	can	can	AUX
ajst-30887	53	12	be	be	AUX
ajst-30887	53	13	explained	explain	VERB
ajst-30887	53	14	by	by	ADP
ajst-30887	53	15	the	the	DET
ajst-30887	53	16	principal	principal	ADJ
ajst-30887	53	17	component	component	NOUN
ajst-30887	53	18	by	by	ADP
ajst-30887	53	19	more	more	ADJ
ajst-30887	53	20	than	than	ADP
ajst-30887	53	21	70	70	NUM
ajst-30887	53	22	%	%	NOUN
ajst-30887	53	23	.	.	PUNCT
ajst-30887	54	1	table	table	NOUN
ajst-30887	54	2	3	3	NUM
ajst-30887	54	3	.	.	PUNCT
ajst-30887	54	4	cumulative	cumulative	ADJ
ajst-30887	54	5	contribution	contribution	NOUN
ajst-30887	54	6	rate	rate	NOUN
ajst-30887	54	7	of	of	ADP
ajst-30887	54	8	total	total	ADJ
ajst-30887	54	9	variance	variance	NOUN
ajst-30887	54	10	of	of	ADP
ajst-30887	54	11	eye	eye	NOUN
ajst-30887	54	12	tracking	track	VERB
ajst-30887	54	13	data	datum	NOUN
ajst-30887	54	14	initial	initial	ADJ
ajst-30887	54	15	eigenvalue	eigenvalue	NOUN
ajst-30887	54	16	extract	extract	VERB
ajst-30887	54	17	the	the	DET
ajst-30887	54	18	load	load	NOUN
ajst-30887	54	19	sum	sum	NOUN
ajst-30887	54	20	of	of	ADP
ajst-30887	54	21	squares	square	NOUN
ajst-30887	54	22	composition	composition	NOUN
ajst-30887	54	23	total	total	ADJ
ajst-30887	54	24	variance	variance	NOUN
ajst-30887	54	25	proportion	proportion	NOUN
ajst-30887	54	26	accumulation%	accumulation%	PUNCT
ajst-30887	54	27	total	total	ADJ
ajst-30887	54	28	variance	variance	NOUN
ajst-30887	54	29	proportion	proportion	NOUN
ajst-30887	54	30	accumulation%	accumulation%	PUNCT
ajst-30887	54	31	1	1	NUM
ajst-30887	54	32	4.132	4.132	NUM
ajst-30887	54	33	59.265	59.265	NUM
ajst-30887	54	34	59.265	59.265	NUM
ajst-30887	54	35	4.132	4.132	NUM
ajst-30887	54	36	59.265	59.265	NUM
ajst-30887	54	37	59.265	59.265	NUM
ajst-30887	54	38	2	2	NUM
ajst-30887	54	39	1.322	1.322	NUM
ajst-30887	54	40	18.349	18.349	NUM
ajst-30887	54	41	77.614	77.614	NUM
ajst-30887	54	42	1.322	1.322	NUM
ajst-30887	54	43	18.349	18.349	NUM
ajst-30887	54	44	77.614	77.614	NUM
ajst-30887	54	45	3	3	NUM
ajst-30887	54	46	.568	.568	NUM
ajst-30887	54	47	8.206	8.206	NUM
ajst-30887	54	48	85.820	85.820	NUM
ajst-30887	54	49	4	4	NUM
ajst-30887	54	50	.495	.495	NUM
ajst-30887	54	51	6.939	6.939	NUM
ajst-30887	54	52	92.759	92.759	NUM
ajst-30887	54	53	5	5	NUM
ajst-30887	54	54	.284	.284	NUM
ajst-30887	54	55	4.269	4.269	NUM
ajst-30887	54	56	97.028	97.028	NUM
ajst-30887	54	57	6	6	NUM
ajst-30887	54	58	.096	.096	NUM
ajst-30887	54	59	2.972	2.972	NUM
ajst-30887	54	60	100.000	100.000	NUM
ajst-30887	54	61	65	65	NUM
ajst-30887	54	62	table	table	NOUN
ajst-30887	54	63	4	4	NUM
ajst-30887	54	64	.	.	PUNCT
ajst-30887	54	65	eye	eye	NOUN
ajst-30887	54	66	tracking	track	VERB
ajst-30887	54	67	data	datum	NOUN
ajst-30887	54	68	component	component	NOUN
ajst-30887	54	69	matrix	matrix	NOUN
ajst-30887	54	70	composition	composition	NOUN
ajst-30887	54	71	1	1	NUM
ajst-30887	54	72	2	2	NUM
ajst-30887	54	73	fixation	fixation	NOUN
ajst-30887	54	74	time	time	NOUN
ajst-30887	54	75	0.715	0.715	NUM
ajst-30887	54	76	0.454	0.454	NUM
ajst-30887	54	77	the	the	DET
ajst-30887	54	78	number	number	NOUN
ajst-30887	54	79	of	of	ADP
ajst-30887	54	80	watch	watch	NOUN
ajst-30887	54	81	0.619	0.619	NUM
ajst-30887	54	82	0.413	0.413	NUM
ajst-30887	54	83	number	number	NOUN
ajst-30887	54	84	of	of	ADP
ajst-30887	54	85	glances	glance	VERB
ajst-30887	54	86	0.743	0.743	NUM
ajst-30887	54	87	0.471	0.471	NUM
ajst-30887	54	88	average	average	ADJ
ajst-30887	54	89	speed	speed	NOUN
ajst-30887	54	90	of	of	ADP
ajst-30887	54	91	saccades	saccade	NOUN
ajst-30887	54	92	0.474	0.474	NUM
ajst-30887	54	93	0.223	0.223	NUM
ajst-30887	54	94	pupil	pupil	ADJ
ajst-30887	54	95	diameter	diameter	NOUN
ajst-30887	54	96	0.820	0.820	NUM
ajst-30887	54	97	-0.353	-0.353	ADP
ajst-30887	54	98	blink	blink	PROPN
ajst-30887	54	99	times	times	PROPN
ajst-30887	54	100	-0.254	-0.254	PROPN
ajst-30887	54	101	0.933	0.933	NUM
ajst-30887	54	102	figure	figure	NOUN
ajst-30887	54	103	1	1	NUM
ajst-30887	54	104	.	.	PUNCT
ajst-30887	54	105	eye	eye	NOUN
ajst-30887	54	106	movement	movement	PROPN
ajst-30887	54	107	data	data	PROPN
ajst-30887	54	108	lithogram	lithogram	PROPN
ajst-30887	54	109	according	accord	VERB
ajst-30887	54	110	to	to	ADP
ajst-30887	54	111	the	the	DET
ajst-30887	54	112	principal	principal	ADJ
ajst-30887	54	113	component	component	NOUN
ajst-30887	54	114	analysis	analysis	NOUN
ajst-30887	54	115	method	method	NOUN
ajst-30887	54	116	,	,	PUNCT
ajst-30887	54	117	complex	complex	ADJ
ajst-30887	54	118	multidimensional	multidimensional	ADJ
ajst-30887	54	119	data	datum	NOUN
ajst-30887	54	120	can	can	AUX
ajst-30887	54	121	be	be	AUX
ajst-30887	54	122	transformed	transform	VERB
ajst-30887	54	123	into	into	ADP
ajst-30887	54	124	a	a	DET
ajst-30887	54	125	few	few	ADJ
ajst-30887	54	126	comprehensive	comprehensive	ADJ
ajst-30887	54	127	indicators	indicator	NOUN
ajst-30887	54	128	through	through	ADP
ajst-30887	54	129	dimensionality	dimensionality	NOUN
ajst-30887	54	130	reduction	reduction	NOUN
ajst-30887	54	131	,	,	PUNCT
ajst-30887	54	132	so	so	SCONJ
ajst-30887	54	133	as	as	SCONJ
ajst-30887	54	134	to	to	PART
ajst-30887	54	135	better	well	ADV
ajst-30887	54	136	describe	describe	VERB
ajst-30887	54	137	and	and	CCONJ
ajst-30887	54	138	explain	explain	VERB
ajst-30887	54	139	the	the	DET
ajst-30887	54	140	data	datum	NOUN
ajst-30887	54	141	.	.	PUNCT
ajst-30887	55	1	in	in	ADP
ajst-30887	55	2	this	this	DET
ajst-30887	55	3	paper	paper	NOUN
ajst-30887	55	4	,	,	PUNCT
ajst-30887	55	5	after	after	ADP
ajst-30887	55	6	z	z	NOUN
ajst-30887	55	7	standardization	standardization	NOUN
ajst-30887	55	8	and	and	CCONJ
ajst-30887	55	9	bartlett	bartlett	PROPN
ajst-30887	55	10	spherical	spherical	ADJ
ajst-30887	55	11	test	test	NOUN
ajst-30887	55	12	of	of	ADP
ajst-30887	55	13	eye	eye	NOUN
ajst-30887	55	14	movement	movement	PROPN
ajst-30887	55	15	data	datum	NOUN
ajst-30887	55	16	,	,	PUNCT
ajst-30887	55	17	it	it	PRON
ajst-30887	55	18	is	be	AUX
ajst-30887	55	19	confirmed	confirm	VERB
ajst-30887	55	20	that	that	SCONJ
ajst-30887	55	21	the	the	DET
ajst-30887	55	22	data	datum	NOUN
ajst-30887	55	23	are	be	AUX
ajst-30887	55	24	suitable	suitable	ADJ
ajst-30887	55	25	for	for	ADP
ajst-30887	55	26	principal	principal	ADJ
ajst-30887	55	27	component	component	NOUN
ajst-30887	55	28	analysis	analysis	NOUN
ajst-30887	55	29	.	.	PUNCT
ajst-30887	56	1	according	accord	VERB
ajst-30887	56	2	to	to	ADP
ajst-30887	56	3	the	the	DET
ajst-30887	56	4	results	result	NOUN
ajst-30887	56	5	of	of	ADP
ajst-30887	56	6	table3	table3	PROPN
ajst-30887	56	7	,	,	PUNCT
ajst-30887	56	8	it	it	PRON
ajst-30887	56	9	can	can	AUX
ajst-30887	56	10	be	be	AUX
ajst-30887	56	11	seen	see	VERB
ajst-30887	56	12	that	that	SCONJ
ajst-30887	56	13	the	the	DET
ajst-30887	56	14	cumulative	cumulative	ADJ
ajst-30887	56	15	variance	variance	NOUN
ajst-30887	56	16	contribution	contribution	NOUN
ajst-30887	56	17	rate	rate	NOUN
ajst-30887	56	18	of	of	ADP
ajst-30887	56	19	the	the	DET
ajst-30887	56	20	first	first	ADJ
ajst-30887	56	21	two	two	NUM
ajst-30887	56	22	principal	principal	ADJ
ajst-30887	56	23	components	component	NOUN
ajst-30887	56	24	is	be	AUX
ajst-30887	56	25	77.614	77.614	NUM
ajst-30887	56	26	%	%	NOUN
ajst-30887	56	27	,	,	PUNCT
ajst-30887	56	28	so	so	CCONJ
ajst-30887	56	29	two	two	NUM
ajst-30887	56	30	principal	principal	ADJ
ajst-30887	56	31	components	component	NOUN
ajst-30887	56	32	are	be	AUX
ajst-30887	56	33	extracted	extract	VERB
ajst-30887	56	34	to	to	PART
ajst-30887	56	35	represent	represent	VERB
ajst-30887	56	36	the	the	DET
ajst-30887	56	37	original	original	ADJ
ajst-30887	56	38	variables	variable	NOUN
ajst-30887	56	39	.	.	PUNCT
ajst-30887	57	1	figure	figure	NOUN
ajst-30887	57	2	1	1	NUM
ajst-30887	57	3	shows	show	VERB
ajst-30887	57	4	that	that	SCONJ
ajst-30887	57	5	the	the	DET
ajst-30887	57	6	first	first	ADJ
ajst-30887	57	7	two	two	NUM
ajst-30887	57	8	factors	factor	NOUN
ajst-30887	57	9	cover	cover	VERB
ajst-30887	57	10	most	most	ADJ
ajst-30887	57	11	of	of	ADP
ajst-30887	57	12	the	the	DET
ajst-30887	57	13	information	information	NOUN
ajst-30887	57	14	of	of	ADP
ajst-30887	57	15	the	the	DET
ajst-30887	57	16	original	original	ADJ
ajst-30887	57	17	variables	variable	NOUN
ajst-30887	57	18	.	.	PUNCT
ajst-30887	58	1	according	accord	VERB
ajst-30887	58	2	to	to	ADP
ajst-30887	58	3	the	the	DET
ajst-30887	58	4	component	component	NOUN
ajst-30887	58	5	matrix	matrix	NOUN
ajst-30887	58	6	table	table	NOUN
ajst-30887	58	7	,	,	PUNCT
ajst-30887	58	8	it	it	PRON
ajst-30887	58	9	can	can	AUX
ajst-30887	58	10	be	be	AUX
ajst-30887	58	11	obtained	obtain	VERB
ajst-30887	58	12	that	that	SCONJ
ajst-30887	58	13	the	the	DET
ajst-30887	58	14	index	index	NOUN
ajst-30887	58	15	pupil	pupil	NOUN
ajst-30887	58	16	diameter	diameter	NOUN
ajst-30887	58	17	and	and	CCONJ
ajst-30887	58	18	blink	blink	PROPN
ajst-30887	58	19	times	time	NOUN
ajst-30887	58	20	have	have	VERB
ajst-30887	58	21	higher	high	ADJ
ajst-30887	58	22	loads	load	NOUN
ajst-30887	58	23	on	on	ADP
ajst-30887	58	24	the	the	DET
ajst-30887	58	25	first	first	ADJ
ajst-30887	58	26	and	and	CCONJ
ajst-30887	58	27	second	second	ADJ
ajst-30887	58	28	principal	principal	ADJ
ajst-30887	58	29	components	component	NOUN
ajst-30887	58	30	,	,	PUNCT
ajst-30887	58	31	that	that	ADV
ajst-30887	58	32	is	is	ADV
ajst-30887	58	33	,	,	PUNCT
ajst-30887	58	34	the	the	DET
ajst-30887	58	35	correlation	correlation	NOUN
ajst-30887	58	36	is	be	AUX
ajst-30887	58	37	stronger	strong	ADJ
ajst-30887	58	38	.	.	PUNCT
ajst-30887	59	1	based	base	VERB
ajst-30887	59	2	on	on	ADP
ajst-30887	59	3	the	the	DET
ajst-30887	59	4	results	result	NOUN
ajst-30887	59	5	of	of	ADP
ajst-30887	59	6	principal	principal	ADJ
ajst-30887	59	7	component	component	NOUN
ajst-30887	59	8	analysis	analysis	NOUN
ajst-30887	59	9	,	,	PUNCT
ajst-30887	59	10	the	the	DET
ajst-30887	59	11	eye	eye	NOUN
ajst-30887	59	12	movement	movement	NOUN
ajst-30887	59	13	sensitivity	sensitivity	NOUN
ajst-30887	59	14	index	index	NOUN
ajst-30887	59	15	of	of	ADP
ajst-30887	59	16	driving	drive	VERB
ajst-30887	59	17	fatigue	fatigue	NOUN
ajst-30887	59	18	under	under	ADP
ajst-30887	59	19	the	the	DET
ajst-30887	59	20	intelligent	intelligent	ADJ
ajst-30887	59	21	supervision	supervision	NOUN
ajst-30887	59	22	platform	platform	NOUN
ajst-30887	59	23	mainly	mainly	ADV
ajst-30887	59	24	chooses	choose	VERB
ajst-30887	59	25	pupil	pupil	VERB
ajst-30887	59	26	diameter	diameter	NOUN
ajst-30887	59	27	and	and	CCONJ
ajst-30887	59	28	blink	blink	PROPN
ajst-30887	59	29	times	time	NOUN
ajst-30887	59	30	.	.	PUNCT
ajst-30887	60	1	4.2	4.2	NUM
ajst-30887	60	2	.	.	PUNCT
ajst-30887	60	3	discussion	discussion	NOUN
ajst-30887	60	4	in	in	ADP
ajst-30887	60	5	this	this	DET
ajst-30887	60	6	paper	paper	NOUN
ajst-30887	60	7	,	,	PUNCT
ajst-30887	60	8	the	the	DET
ajst-30887	60	9	principal	principal	ADJ
ajst-30887	60	10	component	component	NOUN
ajst-30887	60	11	analysis	analysis	NOUN
ajst-30887	60	12	method	method	NOUN
ajst-30887	60	13	is	be	AUX
ajst-30887	60	14	used	use	VERB
ajst-30887	60	15	to	to	PART
ajst-30887	60	16	determine	determine	VERB
ajst-30887	60	17	the	the	DET
ajst-30887	60	18	sensitive	sensitive	ADJ
ajst-30887	60	19	indicators	indicator	NOUN
ajst-30887	60	20	of	of	ADP
ajst-30887	60	21	driving	drive	VERB
ajst-30887	60	22	fatigue	fatigue	NOUN
ajst-30887	60	23	under	under	ADP
ajst-30887	60	24	the	the	DET
ajst-30887	60	25	environment	environment	NOUN
ajst-30887	60	26	of	of	ADP
ajst-30887	60	27	intelligent	intelligent	ADJ
ajst-30887	60	28	supervision	supervision	NOUN
ajst-30887	60	29	platform	platform	NOUN
ajst-30887	60	30	.	.	PUNCT
ajst-30887	61	1	however	however	ADV
ajst-30887	61	2	,	,	PUNCT
ajst-30887	61	3	due	due	ADP
ajst-30887	61	4	to	to	ADP
ajst-30887	61	5	the	the	DET
ajst-30887	61	6	limitation	limitation	NOUN
ajst-30887	61	7	of	of	ADP
ajst-30887	61	8	time	time	NOUN
ajst-30887	61	9	and	and	CCONJ
ajst-30887	61	10	space	space	NOUN
ajst-30887	61	11	,	,	PUNCT
ajst-30887	61	12	this	this	DET
ajst-30887	61	13	paper	paper	NOUN
ajst-30887	61	14	mainly	mainly	ADV
ajst-30887	61	15	analyzes	analyze	VERB
ajst-30887	61	16	the	the	DET
ajst-30887	61	17	main	main	ADJ
ajst-30887	61	18	indicators	indicator	NOUN
ajst-30887	61	19	of	of	ADP
ajst-30887	61	20	eye	eye	NOUN
ajst-30887	61	21	movement	movement	NOUN
ajst-30887	61	22	.	.	PUNCT
ajst-30887	62	1	in	in	ADP
ajst-30887	62	2	the	the	DET
ajst-30887	62	3	later	later	ADJ
ajst-30887	62	4	stage	stage	NOUN
ajst-30887	62	5	,	,	PUNCT
ajst-30887	62	6	this	this	DET
ajst-30887	62	7	paper	paper	NOUN
ajst-30887	62	8	intends	intend	VERB
ajst-30887	62	9	to	to	PART
ajst-30887	62	10	carry	carry	VERB
ajst-30887	62	11	out	out	ADP
ajst-30887	62	12	the	the	DET
ajst-30887	62	13	characteristics	characteristic	NOUN
ajst-30887	62	14	analysis	analysis	NOUN
ajst-30887	62	15	of	of	ADP
ajst-30887	62	16	ecg	ecg	PROPN
ajst-30887	62	17	and	and	CCONJ
ajst-30887	62	18	vehicle	vehicle	NOUN
ajst-30887	62	19	behavior	behavior	NOUN
ajst-30887	62	20	parameters	parameter	NOUN
ajst-30887	62	21	,	,	PUNCT
ajst-30887	62	22	and	and	CCONJ
ajst-30887	62	23	will	will	AUX
ajst-30887	62	24	carry	carry	VERB
ajst-30887	62	25	out	out	ADP
ajst-30887	62	26	fusion	fusion	NOUN
ajst-30887	62	27	analysis	analysis	NOUN
ajst-30887	62	28	,	,	PUNCT
ajst-30887	62	29	in	in	ADP
ajst-30887	62	30	order	order	NOUN
ajst-30887	62	31	to	to	PART
ajst-30887	62	32	carry	carry	VERB
ajst-30887	62	33	out	out	ADP
ajst-30887	62	34	the	the	DET
ajst-30887	62	35	driving	drive	VERB
ajst-30887	62	36	characteristics	characteristic	NOUN
ajst-30887	62	37	and	and	CCONJ
ajst-30887	62	38	laws	law	NOUN
ajst-30887	62	39	under	under	ADP
ajst-30887	62	40	the	the	DET
ajst-30887	62	41	environment	environment	NOUN
ajst-30887	62	42	of	of	ADP
ajst-30887	62	43	intelligent	intelligent	ADJ
ajst-30887	62	44	supervision	supervision	NOUN
ajst-30887	62	45	platform	platform	NOUN
ajst-30887	62	46	in	in	ADP
ajst-30887	62	47	a	a	DET
ajst-30887	62	48	refined	refined	ADJ
ajst-30887	62	49	and	and	CCONJ
ajst-30887	62	50	systematic	systematic	ADJ
ajst-30887	62	51	way	way	NOUN
ajst-30887	62	52	,	,	PUNCT
ajst-30887	62	53	and	and	CCONJ
ajst-30887	62	54	lay	lie	VERB
ajst-30887	62	55	a	a	DET
ajst-30887	62	56	theoretical	theoretical	ADJ
ajst-30887	62	57	foundation	foundation	NOUN
ajst-30887	62	58	for	for	ADP
ajst-30887	62	59	the	the	DET
ajst-30887	62	60	management	management	NOUN
ajst-30887	62	61	and	and	CCONJ
ajst-30887	62	62	early	early	ADJ
ajst-30887	62	63	warning	warning	NOUN
ajst-30887	62	64	of	of	ADP
ajst-30887	62	65	driving	drive	VERB
ajst-30887	62	66	fatigue	fatigue	NOUN
ajst-30887	62	67	under	under	ADP
ajst-30887	62	68	intelligent	intelligent	ADJ
ajst-30887	62	69	supervision	supervision	NOUN
ajst-30887	62	70	.	.	PUNCT
ajst-30887	63	1	acknowledgements	acknowledgement	NOUN
ajst-30887	63	2	we	we	PRON
ajst-30887	63	3	want	want	VERB
ajst-30887	63	4	to	to	PART
ajst-30887	63	5	express	express	VERB
ajst-30887	63	6	our	our	PRON
ajst-30887	63	7	gratitude	gratitude	NOUN
ajst-30887	63	8	to	to	ADP
ajst-30887	63	9	anonymous	anonymous	ADJ
ajst-30887	63	10	referees	referee	NOUN
ajst-30887	63	11	for	for	ADP
ajst-30887	63	12	their	their	PRON
ajst-30887	63	13	valuable	valuable	ADJ
ajst-30887	63	14	and	and	CCONJ
ajst-30887	63	15	constructive	constructive	ADJ
ajst-30887	63	16	comments	comment	NOUN
ajst-30887	63	17	.	.	PUNCT
ajst-30887	64	1	this	this	DET
ajst-30887	64	2	research	research	NOUN
ajst-30887	64	3	was	be	AUX
ajst-30887	64	4	supported	support	VERB
ajst-30887	64	5	by	by	ADP
ajst-30887	64	6	grants	grant	NOUN
ajst-30887	64	7	from	from	ADP
ajst-30887	64	8	henan	henan	PROPN
ajst-30887	64	9	province	province	PROPN
ajst-30887	64	10	science	science	PROPN
ajst-30887	64	11	and	and	CCONJ
ajst-30887	64	12	technology	technology	NOUN
ajst-30887	64	13	key	key	ADJ
ajst-30887	64	14	project(project	project(project	ADJ
ajst-30887	64	15	title	title	NOUN
ajst-30887	64	16	:	:	PUNCT
ajst-30887	64	17	research	research	NOUN
ajst-30887	64	18	on	on	ADP
ajst-30887	64	19	graded	grade	VERB
ajst-30887	64	20	warning	warning	NOUN
ajst-30887	64	21	for	for	ADP
ajst-30887	64	22	fatigue	fatigue	NOUN
ajst-30887	64	23	driving	drive	VERB
ajst-30887	64	24	based	base	VERB
ajst-30887	64	25	on	on	ADP
ajst-30887	64	26	multi	multi	ADJ
ajst-30887	64	27	-	-	ADJ
ajst-30887	64	28	source	source	ADJ
ajst-30887	64	29	information	information	NOUN
ajst-30887	64	30	fusion	fusion	NOUN
ajst-30887	64	31	in	in	ADP
ajst-30887	64	32	intelligent	intelligent	ADJ
ajst-30887	64	33	connected	connected	ADJ
ajst-30887	64	34	environment	environment	NOUN
ajst-30887	64	35	;	;	PUNCT
ajst-30887	64	36	topic	topic	NOUN
ajst-30887	64	37	number	number	NOUN
ajst-30887	64	38	:	:	PUNCT
ajst-30887	64	39	232102240014	232102240014	NUM
ajst-30887	64	40	)	)	PUNCT
ajst-30887	64	41	.	.	PUNCT
ajst-30887	65	1	references	reference	NOUN
ajst-30887	65	2	[	[	X
ajst-30887	65	3	1	1	X
ajst-30887	65	4	]	]	X
ajst-30887	65	5	liu	liu	PROPN
ajst-30887	65	6	xiaoshuang	xiaoshuang	PROPN
ajst-30887	65	7	,	,	PUNCT
ajst-30887	65	8	fang	fang	PROPN
ajst-30887	65	9	zhijun	zhijun	PROPN
ajst-30887	65	10	,	,	PUNCT
ajst-30887	65	11	liu	liu	PROPN
ajst-30887	65	12	xiang	xiang	PROPN
ajst-30887	65	13	,	,	PUNCT
ajst-30887	65	14	gao	gao	PROPN
ajst-30887	65	15	yongbin	yongbin	PROPN
ajst-30887	65	16	,	,	PUNCT
ajst-30887	65	17	zhang	zhang	PROPN
ajst-30887	65	18	xiangxiang	xiangxiang	PROPN
ajst-30887	65	19	.	.	PUNCT
ajst-30887	66	1	fatigue	fatigue	NOUN
ajst-30887	66	2	detection	detection	NOUN
ajst-30887	66	3	system	system	NOUN
ajst-30887	66	4	based	base	VERB
ajst-30887	66	5	on	on	ADP
ajst-30887	66	6	eye	eye	NOUN
ajst-30887	66	7	and	and	CCONJ
ajst-30887	66	8	mouth	mouth	NOUN
ajst-30887	66	9	states	state	NOUN
ajst-30887	67	1	[	[	X
ajst-30887	67	2	j	j	X
ajst-30887	67	3	]	]	X
ajst-30887	67	4	.	.	PUNCT
ajst-30887	67	5	sensors	sensor	NOUN
ajst-30887	67	6	and	and	CCONJ
ajst-30887	67	7	microsystems	microsystem	NOUN
ajst-30887	67	8	,	,	PUNCT
ajst-30887	67	9	2018	2018	NUM
ajst-30887	67	10	,	,	PUNCT
ajst-30887	67	11	37(10	37(10	NUM
ajst-30887	67	12	):	):	PUNCT
ajst-30887	67	13	108	108	NUM
ajst-30887	67	14	-	-	SYM
ajst-30887	67	15	110	110	NUM
ajst-30887	67	16	.	.	PUNCT
ajst-30887	68	1	[	[	X
ajst-30887	68	2	2	2	NUM
ajst-30887	68	3	]	]	PUNCT
ajst-30887	68	4	zhu	zhu	PROPN
ajst-30887	68	5	yubin	yubin	PROPN
ajst-30887	68	6	,	,	PUNCT
ajst-30887	68	7	yan	yan	PROPN
ajst-30887	68	8	xiangjun	xiangjun	PROPN
ajst-30887	68	9	,	,	PUNCT
ajst-30887	68	10	shen	shen	PROPN
ajst-30887	68	11	xuqii	xuqii	PROPN
ajst-30887	68	12	,	,	PUNCT
ajst-30887	68	13	lu	lu	PROPN
ajst-30887	68	14	zhaolin	zhaolin	PROPN
ajst-30887	68	15	.	.	PUNCT
ajst-30887	69	1	fatigue	fatigue	NOUN
ajst-30887	69	2	driving	drive	VERB
ajst-30887	69	3	detection	detection	NOUN
ajst-30887	69	4	based	base	VERB
ajst-30887	69	5	on	on	ADP
ajst-30887	69	6	cascaded	cascade	VERB
ajst-30887	69	7	width	width	NOUN
ajst-30887	69	8	learning	learning	NOUN
ajst-30887	70	1	[	[	X
ajst-30887	70	2	j	j	X
ajst-30887	70	3	]	]	X
ajst-30887	70	4	.	.	PUNCT
ajst-30887	71	1	computer	computer	NOUN
ajst-30887	71	2	engineering	engineering	NOUN
ajst-30887	71	3	and	and	CCONJ
ajst-30887	71	4	design	design	NOUN
ajst-30887	71	5	,	,	PUNCT
ajst-30887	71	6	2020	2020	NUM
ajst-30887	71	7	,	,	PUNCT
ajst-30887	71	8	41(02	41(02	NOUN
ajst-30887	71	9	):	):	PUNCT
ajst-30887	71	10	537	537	NUM
ajst-30887	71	11	-	-	SYM
ajst-30887	71	12	541	541	NUM
ajst-30887	71	13	.	.	PUNCT
ajst-30887	72	1	[	[	X
ajst-30887	72	2	3	3	X
ajst-30887	72	3	]	]	X
ajst-30887	72	4	zhao	zhao	PROPN
ajst-30887	72	5	li	li	PROPN
ajst-30887	72	6	.	.	PROPN
ajst-30887	72	7	design	design	NOUN
ajst-30887	72	8	and	and	CCONJ
ajst-30887	72	9	implementation	implementation	NOUN
ajst-30887	72	10	of	of	ADP
ajst-30887	72	11	a	a	DET
ajst-30887	72	12	fatigue	fatigue	NOUN
ajst-30887	72	13	detection	detection	NOUN
ajst-30887	72	14	system	system	NOUN
ajst-30887	72	15	based	base	VERB
ajst-30887	72	16	on	on	ADP
ajst-30887	72	17	facial	facial	ADJ
ajst-30887	72	18	features	feature	NOUN
ajst-30887	73	1	[	[	X
ajst-30887	73	2	d	d	X
ajst-30887	73	3	]	]	X
ajst-30887	73	4	.	.	PUNCT
ajst-30887	74	1	jinan	jinan	PROPN
ajst-30887	74	2	university	university	PROPN
ajst-30887	74	3	,	,	PUNCT
ajst-30887	74	4	2020	2020	NUM
ajst-30887	74	5	.	.	PUNCT
ajst-30887	75	1	[	[	X
ajst-30887	75	2	4	4	X
ajst-30887	75	3	]	]	PUNCT
ajst-30887	75	4	yang	yang	PROPN
ajst-30887	75	5	xulin	xulin	PROPN
ajst-30887	75	6	,	,	PUNCT
ajst-30887	75	7	gao	gao	PROPN
ajst-30887	75	8	kai	kai	PROPN
ajst-30887	75	9	,	,	PUNCT
ajst-30887	75	10	lu	lu	PROPN
ajst-30887	75	11	wanping	wanpe	VERB
ajst-30887	75	12	,	,	PUNCT
ajst-30887	75	13	wang	wang	PROPN
ajst-30887	75	14	hongyan	hongyan	PROPN
ajst-30887	75	15	,	,	PUNCT
ajst-30887	75	16	zhang	zhang	PROPN
ajst-30887	75	17	yu	yu	PROPN
ajst-30887	75	18	.	.	PROPN
ajst-30887	76	1	design	design	NOUN
ajst-30887	76	2	and	and	CCONJ
ajst-30887	76	3	implementation	implementation	NOUN
ajst-30887	76	4	of	of	ADP
ajst-30887	76	5	a	a	DET
ajst-30887	76	6	system	system	NOUN
ajst-30887	76	7	for	for	ADP
ajst-30887	76	8	monitoring	monitor	VERB
ajst-30887	76	9	sleepiness	sleepiness	NOUN
ajst-30887	76	10	of	of	ADP
ajst-30887	76	11	urban	urban	ADJ
ajst-30887	76	12	rail	rail	NOUN
ajst-30887	76	13	vehicle	vehicle	NOUN
ajst-30887	76	14	drivers	driver	NOUN
ajst-30887	77	1	[	[	X
ajst-30887	77	2	j	j	X
ajst-30887	77	3	]	]	X
ajst-30887	77	4	.	.	PUNCT
ajst-30887	78	1	railway	railway	NOUN
ajst-30887	78	2	locomotives	locomotive	NOUN
ajst-30887	78	3	and	and	CCONJ
ajst-30887	78	4	cars	car	NOUN
ajst-30887	78	5	,	,	PUNCT
ajst-30887	78	6	2021	2021	NUM
ajst-30887	78	7	,	,	PUNCT
ajst-30887	78	8	41(03	41(03	NUM
ajst-30887	78	9	):	):	PUNCT
ajst-30887	78	10	132	132	NUM
ajst-30887	78	11	-	-	SYM
ajst-30887	78	12	136	136	NUM
ajst-30887	78	13	.	.	PUNCT
ajst-30887	79	1	[	[	X
ajst-30887	79	2	5	5	X
ajst-30887	79	3	]	]	X
ajst-30887	79	4	huang	huang	PROPN
ajst-30887	79	5	jieyuan	jieyuan	PROPN
ajst-30887	79	6	.	.	PUNCT
ajst-30887	80	1	human	human	ADJ
ajst-30887	80	2	eye	eye	NOUN
ajst-30887	80	3	localization	localization	NOUN
ajst-30887	80	4	and	and	CCONJ
ajst-30887	80	5	state	state	NOUN
ajst-30887	80	6	classification	classification	NOUN
ajst-30887	80	7	based	base	VERB
ajst-30887	80	8	on	on	ADP
ajst-30887	80	9	cnn[d	cnn[d	PROPN
ajst-30887	80	10	]	]	PUNCT
ajst-30887	80	11	.	.	PUNCT
ajst-30887	81	1	beijing	beijing	PROPN
ajst-30887	81	2	jiaotong	jiaotong	PROPN
ajst-30887	81	3	university	university	PROPN
ajst-30887	81	4	,	,	PUNCT
ajst-30887	81	5	2019	2019	NUM
ajst-30887	81	6	.	.	PUNCT
ajst-30887	82	1	[	[	X
ajst-30887	82	2	6	6	NUM
ajst-30887	82	3	]	]	X
ajst-30887	82	4	chen	chen	PROPN
ajst-30887	82	5	zhikun	zhikun	PROPN
ajst-30887	82	6	,	,	PUNCT
ajst-30887	82	7	chi	chi	PROPN
ajst-30887	82	8	wanda	wanda	PROPN
ajst-30887	82	9	,	,	PUNCT
ajst-30887	82	10	gao	gao	PROPN
ajst-30887	82	11	shang	shang	PROPN
ajst-30887	82	12	,	,	PUNCT
ajst-30887	82	13	liu	liu	PROPN
ajst-30887	82	14	xiaoxin	xiaoxin	PROPN
ajst-30887	82	15	,	,	PUNCT
ajst-30887	82	16	fan	fan	PROPN
ajst-30887	82	17	di	di	PROPN
ajst-30887	82	18	.	.	PROPN
ajst-30887	82	19	fatigue	fatigue	NOUN
ajst-30887	82	20	detection	detection	NOUN
ajst-30887	82	21	algorithm	algorithm	NOUN
ajst-30887	82	22	based	base	VERB
ajst-30887	82	23	on	on	ADP
ajst-30887	82	24	deep	deep	ADJ
ajst-30887	82	25	learning	learning	NOUN
ajst-30887	83	1	[	[	X
ajst-30887	83	2	j	j	X
ajst-30887	83	3	]	]	X
ajst-30887	83	4	.	.	PUNCT
ajst-30887	84	1	computer	computer	NOUN
ajst-30887	84	2	and	and	CCONJ
ajst-30887	84	3	network	network	NOUN
ajst-30887	84	4	,	,	PUNCT
ajst-30887	84	5	2020	2020	NUM
ajst-30887	84	6	,	,	PUNCT
ajst-30887	84	7	46(08	46(08	NUM
ajst-30887	84	8	):	):	PUNCT
ajst-30887	84	9	68	68	NUM
ajst-30887	84	10	-	-	SYM
ajst-30887	84	11	71	71	NUM
ajst-30887	84	12	.	.	PUNCT
ajst-30887	85	1	[	[	X
ajst-30887	85	2	7	7	X
ajst-30887	85	3	]	]	X
ajst-30887	85	4	wang	wang	PROPN
ajst-30887	85	5	qi	qi	PROPN
ajst-30887	85	6	,	,	PUNCT
ajst-30887	85	7	tang	tang	X
ajst-30887	85	8	yangshan	yangshan	NOUN
ajst-30887	85	9	.	.	PUNCT
ajst-30887	86	1	a	a	DET
ajst-30887	86	2	driver	driver	NOUN
ajst-30887	86	3	fatigue	fatigue	NOUN
ajst-30887	86	4	detection	detection	NOUN
ajst-30887	86	5	method	method	NOUN
ajst-30887	86	6	based	base	VERB
ajst-30887	86	7	on	on	ADP
ajst-30887	86	8	mtcnn	mtcnn	PROPN
ajst-30887	86	9	[	[	X
ajst-30887	86	10	j	j	X
ajst-30887	86	11	]	]	X
ajst-30887	86	12	.	.	PUNCT
ajst-30887	87	1	practical	practical	ADJ
ajst-30887	87	2	technology	technology	NOUN
ajst-30887	87	3	of	of	ADP
ajst-30887	87	4	automobiles	automobile	NOUN
ajst-30887	87	5	,	,	PUNCT
ajst-30887	87	6	2021	2021	NUM
ajst-30887	87	7	,	,	PUNCT
ajst-30887	87	8	46(20	46(20	NUM
ajst-30887	87	9	):	):	PUNCT
ajst-30887	87	10	49	49	NUM
ajst-30887	87	11	-	-	SYM
ajst-30887	87	12	51	51	NUM
ajst-30887	87	13	.	.	PUNCT
ajst-30887	87	14	66	66	NUM
ajst-30887	88	1	[	[	SYM
ajst-30887	88	2	8	8	NUM
ajst-30887	88	3	]	]	X
ajst-30887	88	4	huang	huang	PROPN
ajst-30887	88	5	ling	ling	PROPN
ajst-30887	88	6	,	,	PUNCT
ajst-30887	88	7	hong	hong	PROPN
ajst-30887	88	8	peixin	peixin	PROPN
ajst-30887	88	9	,	,	PUNCT
ajst-30887	88	10	wu	wu	PROPN
ajst-30887	88	11	zerong	zerong	PROPN
ajst-30887	88	12	,	,	PUNCT
ajst-30887	88	13	liu	liu	PROPN
ajst-30887	88	14	jianrong	jianrong	PROPN
ajst-30887	88	15	,	,	PUNCT
ajst-30887	88	16	huang	huang	PROPN
ajst-30887	88	17	zixu	zixu	PROPN
ajst-30887	88	18	,	,	PUNCT
ajst-30887	88	19	cui	cui	PROPN
ajst-30887	88	20	zuan	zuan	PROPN
ajst-30887	88	21	.	.	PUNCT
ajst-30887	89	1	a	a	DET
ajst-30887	89	2	method	method	NOUN
ajst-30887	89	3	for	for	ADP
ajst-30887	89	4	detecting	detect	VERB
ajst-30887	89	5	driver	driver	NOUN
ajst-30887	89	6	fatigue	fatigue	NOUN
ajst-30887	89	7	based	base	VERB
ajst-30887	89	8	on	on	ADP
ajst-30887	89	9	regular	regular	ADJ
ajst-30887	89	10	epidemic	epidemic	NOUN
ajst-30887	89	11	prevention[j	prevention[j	NOUN
ajst-30887	89	12	]	]	PUNCT
ajst-30887	89	13	.	.	PUNCT
ajst-30887	90	1	transportation	transportation	NOUN
ajst-30887	90	2	information	information	NOUN
ajst-30887	90	3	and	and	CCONJ
ajst-30887	90	4	safety	safety	NOUN
ajst-30887	90	5	,	,	PUNCT
ajst-30887	90	6	2021	2021	NUM
ajst-30887	90	7	,	,	PUNCT
ajst-30887	90	8	39(04	39(04	NUM
ajst-30887	90	9	):	):	PUNCT
ajst-30887	90	10	26	26	NUM
ajst-30887	90	11	-	-	SYM
ajst-30887	90	12	34	34	NUM
ajst-30887	90	13	.	.	PUNCT
ajst-30887	91	1	[	[	X
ajst-30887	91	2	9	9	NUM
ajst-30887	91	3	]	]	SYM
ajst-30887	91	4	li	li	PROPN
ajst-30887	91	5	jingxuan	jingxuan	PROPN
ajst-30887	91	6	.	.	PUNCT
ajst-30887	92	1	research	research	NOUN
ajst-30887	92	2	on	on	ADP
ajst-30887	92	3	the	the	DET
ajst-30887	92	4	application	application	NOUN
ajst-30887	92	5	of	of	ADP
ajst-30887	92	6	driver	driver	NOUN
ajst-30887	92	7	fatigue	fatigue	NOUN
ajst-30887	92	8	detection	detection	NOUN
ajst-30887	92	9	algorithm	algorithm	NOUN
ajst-30887	92	10	based	base	VERB
ajst-30887	92	11	on	on	ADP
ajst-30887	92	12	facial	facial	ADJ
ajst-30887	92	13	feature	feature	NOUN
ajst-30887	92	14	analysis[d	analysis[d	PROPN
ajst-30887	92	15	]	]	PUNCT
ajst-30887	92	16	.	.	PUNCT
ajst-30887	93	1	south	south	PROPN
ajst-30887	93	2	china	china	PROPN
ajst-30887	93	3	university	university	PROPN
ajst-30887	93	4	of	of	ADP
ajst-30887	93	5	technology	technology	NOUN
ajst-30887	93	6	,	,	PUNCT
ajst-30887	93	7	2020	2020	NUM
ajst-30887	93	8	.	.	PUNCT
ajst-30887	94	1	[	[	X
ajst-30887	94	2	10	10	NUM
ajst-30887	94	3	]	]	X
ajst-30887	94	4	zhu	zhu	PROPN
ajst-30887	94	5	mingliang	mingliang	PROPN
ajst-30887	94	6	,	,	PUNCT
ajst-30887	94	7	li	li	PROPN
ajst-30887	94	8	dinggen	dinggen	PROPN
ajst-30887	94	9	.	.	PUNCT
ajst-30887	95	1	research	research	NOUN
ajst-30887	95	2	on	on	ADP
ajst-30887	95	3	fatigue	fatigue	NOUN
ajst-30887	95	4	detection	detection	NOUN
ajst-30887	95	5	method	method	NOUN
ajst-30887	95	6	based	base	VERB
ajst-30887	95	7	on	on	ADP
ajst-30887	95	8	facial	facial	ADJ
ajst-30887	95	9	feature	feature	NOUN
ajst-30887	95	10	points	point	NOUN
ajst-30887	96	1	[	[	X
ajst-30887	96	2	j	j	X
ajst-30887	96	3	]	]	X
ajst-30887	96	4	.	.	PUNCT
ajst-30887	97	1	computer	computer	NOUN
ajst-30887	97	2	applications	application	NOUN
ajst-30887	97	3	research	research	NOUN
ajst-30887	97	4	,	,	PUNCT
ajst-30887	97	5	2020	2020	NUM
ajst-30887	97	6	,	,	PUNCT
ajst-30887	97	7	37(s2	37(s2	NUM
ajst-30887	97	8	):	):	PUNCT
ajst-30887	97	9	305	305	NUM
ajst-30887	97	10	-	-	SYM
ajst-30887	97	11	307	307	NUM
ajst-30887	97	12	.	.	PUNCT
ajst-30887	98	1	[	[	X
ajst-30887	98	2	11	11	NUM
ajst-30887	98	3	]	]	X
ajst-30887	98	4	feng	feng	PROPN
ajst-30887	98	5	wenwen	wenwen	PROPN
ajst-30887	98	6	,	,	PUNCT
ajst-30887	98	7	cao	cao	PROPN
ajst-30887	98	8	yinjie	yinjie	PROPN
ajst-30887	98	9	,	,	PUNCT
ajst-30887	98	10	li	li	PROPN
ajst-30887	98	11	xiaolin	xiaolin	PROPN
ajst-30887	98	12	,	,	PUNCT
ajst-30887	98	13	hu	hu	PROPN
ajst-30887	98	14	weisheng	weisheng	PROPN
ajst-30887	98	15	.	.	PUNCT
ajst-30887	99	1	face	face	NOUN
ajst-30887	99	2	fatigue	fatigue	NOUN
ajst-30887	99	3	detection	detection	NOUN
ajst-30887	99	4	based	base	VERB
ajst-30887	99	5	on	on	ADP
ajst-30887	99	6	an	an	DET
ajst-30887	99	7	improved	improve	VERB
ajst-30887	99	8	deep	deep	ADJ
ajst-30887	99	9	convolutional	convolutional	ADJ
ajst-30887	99	10	neural	neural	ADJ
ajst-30887	99	11	network	network	NOUN
ajst-30887	100	1	[	[	X
ajst-30887	100	2	j	j	X
ajst-30887	100	3	]	]	X
ajst-30887	100	4	.	.	PUNCT
ajst-30887	101	1	science	science	NOUN
ajst-30887	101	2	technology	technology	NOUN
ajst-30887	101	3	and	and	CCONJ
ajst-30887	101	4	engineering	engineering	NOUN
ajst-30887	101	5	,	,	PUNCT
ajst-30887	101	6	2020	2020	NUM
ajst-30887	101	7	,	,	PUNCT
ajst-30887	101	8	20(14	20(14	NUM
ajst-30887	101	9	):	):	PUNCT
ajst-30887	101	10	5680	5680	NUM
ajst-30887	101	11	-	-	SYM
ajst-30887	101	12	5687	5687	NUM
ajst-30887	101	13	.	.	PUNCT
ajst-30887	102	1	[	[	X
ajst-30887	102	2	12	12	NUM
ajst-30887	102	3	]	]	X
ajst-30887	102	4	bai	bai	PROPN
ajst-30887	102	5	zhonghao	zhonghao	PROPN
ajst-30887	102	6	,	,	PUNCT
ajst-30887	102	7	jiao	jiao	PROPN
ajst-30887	102	8	yinghao	yinghao	PROPN
ajst-30887	102	9	,	,	PUNCT
ajst-30887	102	10	bai	bai	PROPN
ajst-30887	102	11	fanghua	fanghua	PROPN
ajst-30887	102	12	.	.	PUNCT
ajst-30887	103	1	driving	drive	VERB
ajst-30887	103	2	fatigue	fatigue	NOUN
ajst-30887	103	3	detection	detection	NOUN
ajst-30887	103	4	based	base	VERB
ajst-30887	103	5	on	on	ADP
ajst-30887	103	6	active	active	ADJ
ajst-30887	103	7	shape	shape	NOUN
ajst-30887	103	8	models	model	NOUN
ajst-30887	103	9	and	and	CCONJ
ajst-30887	103	10	fuzzy	fuzzy	ADJ
ajst-30887	103	11	inference	inference	NOUN
ajst-30887	103	12	[	[	X
ajst-30887	103	13	j	j	X
ajst-30887	103	14	]	]	X
ajst-30887	103	15	.	.	PUNCT
ajst-30887	103	16	journal	journal	PROPN
ajst-30887	103	17	of	of	ADP
ajst-30887	103	18	instruments	instrument	NOUN
ajst-30887	103	19	and	and	CCONJ
ajst-30887	103	20	instrumentation	instrumentation	NOUN
ajst-30887	103	21	,	,	PUNCT
ajst-30887	103	22	2015	2015	NUM
ajst-30887	103	23	,	,	PUNCT
ajst-30887	103	24	36(04	36(04	NUM
ajst-30887	103	25	):	):	PUNCT
ajst-30887	103	26	768	768	NUM
ajst-30887	103	27	-	-	SYM
ajst-30887	103	28	775	775	NUM
ajst-30887	103	29	.	.	PUNCT
ajst-30887	104	1	[	[	X
ajst-30887	104	2	13	13	NUM
ajst-30887	104	3	]	]	X
ajst-30887	104	4	chen	chen	PROPN
ajst-30887	104	5	xin	xin	PROPN
ajst-30887	104	6	,	,	PUNCT
ajst-30887	104	7	li	li	PROPN
ajst-30887	104	8	weixiang	weixiang	PROPN
ajst-30887	104	9	,	,	PUNCT
ajst-30887	104	10	li	li	PROPN
ajst-30887	104	11	wei	wei	PROPN
ajst-30887	104	12	,	,	PUNCT
ajst-30887	104	13	zhang	zhang	PROPN
ajst-30887	104	14	wenqing	wenqing	PROPN
ajst-30887	104	15	,	,	PUNCT
ajst-30887	104	16	zhu	zhu	PROPN
ajst-30887	104	17	yuan	yuan	PROPN
ajst-30887	104	18	.	.	PUNCT
ajst-30887	105	1	a	a	DET
ajst-30887	105	2	multi	multi	ADJ
ajst-30887	105	3	-	-	ADJ
ajst-30887	105	4	feature	feature	ADJ
ajst-30887	105	5	fusion	fusion	NOUN
ajst-30887	105	6	fatigue	fatigue	NOUN
ajst-30887	105	7	detection	detection	NOUN
ajst-30887	105	8	method	method	NOUN
ajst-30887	105	9	based	base	VERB
ajst-30887	105	10	on	on	ADP
ajst-30887	105	11	improved	improved	ADJ
ajst-30887	105	12	asm	asm	NOUN
ajst-30887	106	1	[	[	X
ajst-30887	106	2	j	j	X
ajst-30887	106	3	]	]	X
ajst-30887	106	4	.	.	PUNCT
ajst-30887	107	1	computer	computer	NOUN
ajst-30887	107	2	engineering	engineering	NOUN
ajst-30887	107	3	and	and	CCONJ
ajst-30887	107	4	design	design	NOUN
ajst-30887	107	5	,	,	PUNCT
ajst-30887	107	6	2019	2019	NUM
ajst-30887	107	7	,	,	PUNCT
ajst-30887	107	8	40(11	40(11	NUM
ajst-30887	107	9	):	):	PUNCT
ajst-30887	107	10	3269	3269	NUM
ajst-30887	107	11	-	-	SYM
ajst-30887	107	12	3275	3275	NUM
ajst-30887	107	13	.	.	PUNCT
ajst-30887	108	1	[	[	X
ajst-30887	108	2	14	14	NUM
ajst-30887	108	3	]	]	X
ajst-30887	108	4	zhao	zhao	PROPN
ajst-30887	108	5	xuejuan	xuejuan	PROPN
ajst-30887	108	6	.	.	PUNCT
ajst-30887	109	1	research	research	NOUN
ajst-30887	109	2	on	on	ADP
ajst-30887	109	3	driver	driver	NOUN
ajst-30887	109	4	fatigue	fatigue	NOUN
ajst-30887	109	5	detection	detection	NOUN
ajst-30887	109	6	technology	technology	NOUN
ajst-30887	109	7	based	base	VERB
ajst-30887	109	8	on	on	ADP
ajst-30887	109	9	asm	asm	NOUN
ajst-30887	109	10	and	and	CCONJ
ajst-30887	109	11	information	information	NOUN
ajst-30887	109	12	fusion	fusion	NOUN
ajst-30887	109	13	.	.	PUNCT
ajst-30887	110	1	science	science	NOUN
ajst-30887	110	2	and	and	CCONJ
ajst-30887	110	3	technology	technology	NOUN
ajst-30887	110	4	innovation	innovation	NOUN
ajst-30887	110	5	,	,	PUNCT
ajst-30887	110	6	2020(30	2020(30	NUM
ajst-30887	110	7	):	):	PUNCT
ajst-30887	110	8	120	120	NUM
ajst-30887	110	9	-	-	SYM
ajst-30887	110	10	121	121	NUM
ajst-30887	110	11	.	.	PUNCT
ajst-30887	111	1	[	[	X
ajst-30887	111	2	15	15	NUM
ajst-30887	111	3	]	]	X
ajst-30887	111	4	wang	wang	PROPN
ajst-30887	111	5	di	di	PROPN
ajst-30887	111	6	.	.	PROPN
ajst-30887	111	7	research	research	NOUN
ajst-30887	111	8	and	and	CCONJ
ajst-30887	111	9	application	application	NOUN
ajst-30887	111	10	of	of	ADP
ajst-30887	111	11	fatigue	fatigue	NOUN
ajst-30887	111	12	detection	detection	NOUN
ajst-30887	111	13	algorithm	algorithm	NOUN
ajst-30887	111	14	based	base	VERB
ajst-30887	111	15	on	on	ADP
ajst-30887	111	16	human	human	ADJ
ajst-30887	111	17	eye	eye	PROPN
ajst-30887	111	18	state[d	state[d	PROPN
ajst-30887	111	19	]	]	PUNCT
ajst-30887	111	20	.	.	PUNCT
ajst-30887	112	1	university	university	NOUN
ajst-30887	112	2	of	of	ADP
ajst-30887	112	3	electronic	electronic	ADJ
ajst-30887	112	4	science	science	NOUN
ajst-30887	112	5	and	and	CCONJ
ajst-30887	112	6	technology	technology	NOUN
ajst-30887	112	7	of	of	ADP
ajst-30887	112	8	china	china	PROPN
ajst-30887	112	9	,	,	PUNCT
ajst-30887	112	10	2020	2020	NUM
ajst-30887	112	11	.	.	PUNCT
ajst-30887	113	1	[	[	X
ajst-30887	113	2	16	16	NUM
ajst-30887	113	3	]	]	X
ajst-30887	113	4	huang	huang	PROPN
ajst-30887	113	5	z	z	PROPN
ajst-30887	113	6	,	,	PUNCT
ajst-30887	113	7	shi	shi	PROPN
ajst-30887	113	8	j.	j.	PROPN
ajst-30887	113	9	research	research	PROPN
ajst-30887	113	10	on	on	ADP
ajst-30887	113	11	driver	driver	NOUN
ajst-30887	113	12	's	's	PART
ajst-30887	113	13	fatigue	fatigue	NOUN
ajst-30887	113	14	detection	detection	NOUN
ajst-30887	113	15	by	by	ADP
ajst-30887	113	16	multi	multi	ADJ
ajst-30887	113	17	-	-	ADJ
ajst-30887	113	18	feature	feature	ADJ
ajst-30887	113	19	fusion[j	fusion[j	NOUN
ajst-30887	113	20	]	]	PUNCT
ajst-30887	113	21	.	.	PUNCT
ajst-30887	114	1	mechanical	mechanical	ADJ
ajst-30887	114	2	science	science	NOUN
ajst-30887	114	3	and	and	CCONJ
ajst-30887	114	4	technology	technology	NOUN
ajst-30887	114	5	for	for	ADP
ajst-30887	114	6	aerospace	aerospace	NOUN
ajst-30887	114	7	engineering	engineering	NOUN
ajst-30887	114	8	,	,	PUNCT
ajst-30887	114	9	2018	2018	NUM
ajst-30887	114	10	.	.	PUNCT
ajst-30887	115	1	[	[	X
ajst-30887	115	2	17	17	NUM
ajst-30887	115	3	]	]	X
ajst-30887	115	4	wu	wu	PROPN
ajst-30887	115	5	kunliang	kunliang	PROPN
ajst-30887	115	6	,	,	PUNCT
ajst-30887	115	7	yu	yu	PROPN
ajst-30887	115	8	suping	suping	PROPN
ajst-30887	115	9	,	,	PUNCT
ajst-30887	115	10	xu	xu	PROPN
ajst-30887	115	11	wujun	wujun	PROPN
ajst-30887	115	12	,	,	PUNCT
ajst-30887	115	13	fan	fan	PROPN
ajst-30887	115	14	hong	hong	PROPN
ajst-30887	115	15	.	.	PUNCT
ajst-30887	116	1	simulation	simulation	NOUN
ajst-30887	116	2	research	research	NOUN
ajst-30887	116	3	on	on	ADP
ajst-30887	116	4	fatigued	fatigued	ADJ
ajst-30887	116	5	driving	driving	NOUN
ajst-30887	116	6	based	base	VERB
ajst-30887	116	7	on	on	ADP
ajst-30887	116	8	bfr	bfr	NOUN
ajst-30887	116	9	algorithm	algorithm	NOUN
ajst-30887	116	10	and	and	CCONJ
ajst-30887	116	11	head	head	NOUN
ajst-30887	116	12	posture	posture	NOUN
ajst-30887	117	1	[	[	X
ajst-30887	117	2	j	j	X
ajst-30887	117	3	]	]	X
ajst-30887	117	4	.	.	PUNCT
ajst-30887	118	1	computer	computer	NOUN
ajst-30887	118	2	simulation	simulation	NOUN
ajst-30887	118	3	,	,	PUNCT
ajst-30887	118	4	2021	2021	NUM
ajst-30887	118	5	,	,	PUNCT
ajst-30887	118	6	38(08	38(08	NUM
ajst-30887	118	7	):	):	PUNCT
ajst-30887	118	8	152	152	NUM
ajst-30887	118	9	-	-	SYM
ajst-30887	118	10	156	156	NUM
ajst-30887	118	11	.	.	PUNCT
ajst-30887	119	1	[	[	X
ajst-30887	119	2	18	18	NUM
ajst-30887	119	3	]	]	PUNCT
ajst-30887	119	4	bing	bing	NOUN
ajst-30887	119	5	-	-	PUNCT
ajst-30887	119	6	ting	ting	PROPN
ajst-30887	119	7	dong	dong	PROPN
ajst-30887	119	8	,	,	PUNCT
ajst-30887	119	9	huei	huei	PROPN
ajst-30887	119	10	-	-	PUNCT
ajst-30887	119	11	yung	yung	ADJ
ajst-30887	119	12	lin	lin	PROPN
ajst-30887	119	13	,	,	PUNCT
ajst-30887	119	14	chin	chin	PROPN
ajst-30887	119	15	-	-	PUNCT
ajst-30887	119	16	chen	chen	PROPN
ajst-30887	119	17	chang	chang	PROPN
ajst-30887	119	18	.	.	PUNCT
ajst-30887	120	1	driver	driver	NOUN
ajst-30887	120	2	fatigue	fatigue	NOUN
ajst-30887	120	3	and	and	CCONJ
ajst-30887	120	4	distracted	distracted	ADJ
ajst-30887	120	5	driving	drive	VERB
ajst-30887	120	6	detection	detection	NOUN
ajst-30887	120	7	using	use	VERB
ajst-30887	120	8	random	random	ADJ
ajst-30887	120	9	forest	forest	NOUN
ajst-30887	120	10	and	and	CCONJ
ajst-30887	120	11	convolutional	convolutional	ADJ
ajst-30887	120	12	neural	neural	ADJ
ajst-30887	120	13	network[j	network[j	NOUN
ajst-30887	120	14	]	]	PUNCT
ajst-30887	120	15	.	.	PUNCT
ajst-30887	121	1	mdpi	mdpi	PROPN
ajst-30887	121	2	ag	ag	PROPN
ajst-30887	121	3	,	,	PUNCT
ajst-30887	121	4	2022	2022	NUM
ajst-30887	121	5	,	,	PUNCT
ajst-30887	121	6	12(17	12(17	NUM
ajst-30887	121	7	):	):	PUNCT
ajst-30887	121	8	8674	8674	NUM
ajst-30887	121	9	.	.	PUNCT
ajst-30887	122	1	[	[	X
ajst-30887	122	2	19	19	NUM
ajst-30887	122	3	]	]	X
ajst-30887	122	4	wang	wang	PROPN
ajst-30887	122	5	xy	xy	PROPN
ajst-30887	122	6	,	,	PUNCT
ajst-30887	122	7	chen	chen	PROPN
ajst-30887	122	8	lf	lf	PROPN
ajst-30887	122	9	,	,	PUNCT
ajst-30887	122	10	zhang	zhang	PROPN
ajst-30887	122	11	y	y	PROPN
ajst-30887	122	12	,	,	PUNCT
ajst-30887	122	13	et	et	PROPN
ajst-30887	122	14	al	al	PROPN
ajst-30887	122	15	.	.	PUNCT
ajst-30887	123	1	a	a	DET
ajst-30887	123	2	real	real	ADJ
ajst-30887	123	3	-	-	PUNCT
ajst-30887	123	4	time	time	NOUN
ajst-30887	123	5	driver	driver	NOUN
ajst-30887	123	6	fatigue	fatigue	NOUN
ajst-30887	123	7	identification	identification	NOUN
ajst-30887	123	8	method	method	NOUN
ajst-30887	123	9	based	base	VERB
ajst-30887	123	10	on	on	ADP
ajst-30887	123	11	ga	ga	PROPN
ajst-30887	123	12	-	-	PUNCT
ajst-30887	123	13	grnn[j	grnn[j	X
ajst-30887	123	14	]	]	PUNCT
ajst-30887	123	15	.	.	PUNCT
ajst-30887	124	1	frontiers	frontier	NOUN
ajst-30887	124	2	media	media	PROPN
ajst-30887	124	3	sa	sa	PROPN
ajst-30887	124	4	,	,	PUNCT
ajst-30887	124	5	2022	2022	NUM
ajst-30887	124	6	,	,	PUNCT
ajst-30887	124	7	10	10	NUM
ajst-30887	124	8	.	.	PUNCT
ajst-30887	125	1	[	[	X
ajst-30887	125	2	20	20	NUM
ajst-30887	125	3	]	]	PUNCT
ajst-30887	125	4	wc	wc	PROPN
ajst-30887	125	5	xiao	xiao	PROPN
ajst-30887	125	6	,	,	PUNCT
ajst-30887	125	7	hl	hl	PROPN
ajst-30887	125	8	liu	liu	PROPN
ajst-30887	125	9	,	,	PUNCT
ajst-30887	125	10	zj	zj	PROPN
ajst-30887	125	11	ma	ma	PROPN
ajst-30887	125	12	,	,	PUNCT
ajst-30887	125	13	et	et	PROPN
ajst-30887	125	14	al	al	PROPN
ajst-30887	125	15	.	.	PUNCT
ajst-30887	125	16	fatigue	fatigue	NOUN
ajst-30887	125	17	driving	drive	VERB
ajst-30887	125	18	recognition	recognition	NOUN
ajst-30887	125	19	method	method	NOUN
ajst-30887	125	20	based	base	VERB
ajst-30887	125	21	on	on	ADP
ajst-30887	125	22	multi	multi	ADJ
ajst-30887	125	23	-	-	ADJ
ajst-30887	125	24	scale	scale	ADJ
ajst-30887	125	25	facial	facial	ADJ
ajst-30887	125	26	landmark	landmark	NOUN
ajst-30887	125	27	detector[j	detector[j	PROPN
ajst-30887	125	28	]	]	PUNCT
ajst-30887	125	29	.	.	PUNCT
ajst-30887	126	1	mdpi	mdpi	PROPN
ajst-30887	126	2	ag	ag	PROPN
ajst-30887	126	3	,	,	PUNCT
ajst-30887	126	4	2022	2022	NUM
ajst-30887	126	5	,	,	PUNCT
ajst-30887	126	6	11(24	11(24	NUM
ajst-30887	126	7	):	):	PUNCT
ajst-30887	126	8	4103	4103	NUM
ajst-30887	126	9	.	.	PUNCT