id	sid	tid	token	lemma	pos
app01-10637	1	1	acta	acta	PROPN
app01-10637	1	2	polytechnica	polytechnica	PROPN
app01-10637	1	3	ctu	ctu	PROPN
app01-10637	1	4	proceedings	proceeding	NOUN
app01-10637	1	5	https://doi.org/10.14311/app.2025.52.0050	https://doi.org/10.14311/app.2025.52.0050	PROPN
app01-10637	1	6	acta	acta	PROPN
app01-10637	1	7	polytechnica	polytechnica	PROPN
app01-10637	1	8	ctu	ctu	NOUN
app01-10637	1	9	proceedings	proceeding	NOUN
app01-10637	1	10	52:50–56	52:50–56	NUM
app01-10637	1	11	,	,	PUNCT
app01-10637	1	12	2025	2025	NUM
app01-10637	1	13	©	©	ADP
app01-10637	1	14	2025	2025	NUM
app01-10637	1	15	the	the	DET
app01-10637	1	16	author(s	author(s	NOUN
app01-10637	1	17	)	)	PUNCT
app01-10637	1	18	.	.	PUNCT
app01-10637	2	1	licensed	license	VERB
app01-10637	2	2	under	under	ADP
app01-10637	2	3	a	a	DET
app01-10637	2	4	cc	cc	NOUN
app01-10637	2	5	-	-	PUNCT
app01-10637	2	6	by	by	ADP
app01-10637	2	7	4.0	4.0	NUM
app01-10637	2	8	licence	licence	NOUN
app01-10637	2	9	published	publish	VERB
app01-10637	2	10	by	by	ADP
app01-10637	2	11	the	the	DET
app01-10637	2	12	czech	czech	PROPN
app01-10637	2	13	technical	technical	PROPN
app01-10637	2	14	university	university	PROPN
app01-10637	2	15	in	in	ADP
app01-10637	2	16	prague	prague	PROPN
app01-10637	2	17	commonly	commonly	ADV
app01-10637	2	18	used	use	VERB
app01-10637	2	19	methods	method	NOUN
app01-10637	2	20	to	to	PART
app01-10637	2	21	monitor	monitor	VERB
app01-10637	2	22	driver	driver	NOUN
app01-10637	2	23	’s	’s	PART
app01-10637	2	24	drowsiness	drowsiness	NOUN
app01-10637	2	25	and	and	CCONJ
app01-10637	2	26	fatigue	fatigue	NOUN
app01-10637	2	27	with	with	ADP
app01-10637	2	28	a	a	DET
app01-10637	2	29	focus	focus	NOUN
app01-10637	2	30	on	on	ADP
app01-10637	2	31	the	the	DET
app01-10637	2	32	interior	interior	ADJ
app01-10637	2	33	camera	camera	NOUN
app01-10637	2	34	filip	filip	NOUN
app01-10637	2	35	kotas∗	kotas∗	PROPN
app01-10637	2	36	,	,	PUNCT
app01-10637	2	37	jan	jan	PROPN
app01-10637	2	38	leistner	leistner	PROPN
app01-10637	2	39	czech	czech	PROPN
app01-10637	2	40	technical	technical	PROPN
app01-10637	2	41	university	university	PROPN
app01-10637	2	42	in	in	ADP
app01-10637	2	43	prague	prague	PROPN
app01-10637	2	44	,	,	PUNCT
app01-10637	2	45	faculty	faculty	NOUN
app01-10637	2	46	of	of	ADP
app01-10637	2	47	transportation	transportation	NOUN
app01-10637	2	48	sciences	science	NOUN
app01-10637	2	49	,	,	PUNCT
app01-10637	2	50	konviktská	konviktská	NOUN
app01-10637	2	51	20	20	NUM
app01-10637	2	52	,	,	PUNCT
app01-10637	2	53	110	110	NUM
app01-10637	2	54	00	00	NUM
app01-10637	2	55	prague	prague	PROPN
app01-10637	2	56	1	1	NUM
app01-10637	2	57	,	,	PUNCT
app01-10637	2	58	czech	czech	PROPN
app01-10637	2	59	republic	republic	NOUN
app01-10637	2	60	∗	∗	NOUN
app01-10637	2	61	corresponding	correspond	VERB
app01-10637	2	62	author	author	NOUN
app01-10637	2	63	:	:	PUNCT
app01-10637	2	64	kotasfil@cvut.cz	kotasfil@cvut.cz	NOUN
app01-10637	2	65	abstract	abstract	NOUN
app01-10637	2	66	.	.	PUNCT
app01-10637	3	1	some	some	PRON
app01-10637	3	2	of	of	ADP
app01-10637	3	3	the	the	DET
app01-10637	3	4	main	main	ADJ
app01-10637	3	5	causes	cause	NOUN
app01-10637	3	6	of	of	ADP
app01-10637	3	7	road	road	NOUN
app01-10637	3	8	accidents	accident	NOUN
app01-10637	3	9	nowadays	nowadays	ADV
app01-10637	3	10	are	be	AUX
app01-10637	3	11	fatigue	fatigue	NOUN
app01-10637	3	12	,	,	PUNCT
app01-10637	3	13	drowsiness	drowsiness	NOUN
app01-10637	3	14	and	and	CCONJ
app01-10637	3	15	driver	driver	NOUN
app01-10637	3	16	inattention	inattention	NOUN
app01-10637	3	17	.	.	PUNCT
app01-10637	4	1	in	in	ADP
app01-10637	4	2	many	many	ADJ
app01-10637	4	3	cases	case	NOUN
app01-10637	4	4	,	,	PUNCT
app01-10637	4	5	these	these	DET
app01-10637	4	6	accidents	accident	NOUN
app01-10637	4	7	are	be	AUX
app01-10637	4	8	fatal	fatal	ADJ
app01-10637	4	9	and	and	CCONJ
app01-10637	4	10	can	can	AUX
app01-10637	4	11	cause	cause	VERB
app01-10637	4	12	significant	significant	ADJ
app01-10637	4	13	financial	financial	ADJ
app01-10637	4	14	loss	loss	NOUN
app01-10637	4	15	.	.	PUNCT
app01-10637	5	1	most	most	ADJ
app01-10637	5	2	of	of	ADP
app01-10637	5	3	these	these	DET
app01-10637	5	4	accidents	accident	NOUN
app01-10637	5	5	happen	happen	VERB
app01-10637	5	6	between	between	ADP
app01-10637	5	7	midnight	midnight	NOUN
app01-10637	5	8	and	and	CCONJ
app01-10637	5	9	6	6	NUM
app01-10637	5	10	am	am	ADJ
app01-10637	5	11	.	.	PUNCT
app01-10637	6	1	one	one	NUM
app01-10637	6	2	way	way	NOUN
app01-10637	6	3	to	to	PART
app01-10637	6	4	reduce	reduce	VERB
app01-10637	6	5	the	the	DET
app01-10637	6	6	number	number	NOUN
app01-10637	6	7	of	of	ADP
app01-10637	6	8	accidents	accident	NOUN
app01-10637	6	9	caused	cause	VERB
app01-10637	6	10	by	by	ADP
app01-10637	6	11	these	these	DET
app01-10637	6	12	causes	cause	NOUN
app01-10637	6	13	is	be	AUX
app01-10637	6	14	to	to	PART
app01-10637	6	15	use	use	VERB
app01-10637	6	16	an	an	DET
app01-10637	6	17	interior	interior	ADJ
app01-10637	6	18	camera	camera	NOUN
app01-10637	6	19	.	.	PUNCT
app01-10637	7	1	this	this	DET
app01-10637	7	2	camera	camera	NOUN
app01-10637	7	3	can	can	AUX
app01-10637	7	4	detect	detect	VERB
app01-10637	7	5	fatigue	fatigue	NOUN
app01-10637	7	6	or	or	CCONJ
app01-10637	7	7	drowsiness	drowsiness	NOUN
app01-10637	7	8	and	and	CCONJ
app01-10637	7	9	alert	alert	VERB
app01-10637	7	10	the	the	DET
app01-10637	7	11	driver	driver	NOUN
app01-10637	7	12	in	in	ADP
app01-10637	7	13	time	time	NOUN
app01-10637	7	14	,	,	PUNCT
app01-10637	7	15	and	and	CCONJ
app01-10637	7	16	in	in	ADP
app01-10637	7	17	the	the	DET
app01-10637	7	18	worst	bad	ADJ
app01-10637	7	19	case	case	NOUN
app01-10637	7	20	,	,	PUNCT
app01-10637	7	21	take	take	VERB
app01-10637	7	22	over	over	ADP
app01-10637	7	23	the	the	DET
app01-10637	7	24	car	car	NOUN
app01-10637	7	25	and	and	CCONJ
app01-10637	7	26	stop	stop	VERB
app01-10637	7	27	safely	safely	ADV
app01-10637	7	28	at	at	ADP
app01-10637	7	29	the	the	DET
app01-10637	7	30	side	side	NOUN
app01-10637	7	31	of	of	ADP
app01-10637	7	32	the	the	DET
app01-10637	7	33	road	road	NOUN
app01-10637	7	34	.	.	PUNCT
app01-10637	8	1	the	the	DET
app01-10637	8	2	aim	aim	NOUN
app01-10637	8	3	of	of	ADP
app01-10637	8	4	this	this	DET
app01-10637	8	5	article	article	NOUN
app01-10637	8	6	is	be	AUX
app01-10637	8	7	to	to	PART
app01-10637	8	8	provide	provide	VERB
app01-10637	8	9	a	a	DET
app01-10637	8	10	comprehensive	comprehensive	ADJ
app01-10637	8	11	overview	overview	NOUN
app01-10637	8	12	of	of	ADP
app01-10637	8	13	the	the	DET
app01-10637	8	14	methods	method	NOUN
app01-10637	8	15	used	use	VERB
app01-10637	8	16	to	to	PART
app01-10637	8	17	detect	detect	VERB
app01-10637	8	18	driver	driver	NOUN
app01-10637	8	19	fatigue	fatigue	NOUN
app01-10637	8	20	,	,	PUNCT
app01-10637	8	21	drowsiness	drowsiness	NOUN
app01-10637	8	22	and	and	CCONJ
app01-10637	8	23	inattention	inattention	NOUN
app01-10637	8	24	.	.	PUNCT
app01-10637	9	1	a	a	DET
app01-10637	9	2	further	further	ADJ
app01-10637	9	3	objective	objective	NOUN
app01-10637	9	4	is	be	AUX
app01-10637	9	5	then	then	ADV
app01-10637	9	6	to	to	PART
app01-10637	9	7	develop	develop	VERB
app01-10637	9	8	and	and	CCONJ
app01-10637	9	9	process	process	VERB
app01-10637	9	10	a	a	DET
app01-10637	9	11	survey	survey	NOUN
app01-10637	9	12	that	that	PRON
app01-10637	9	13	focuses	focus	VERB
app01-10637	9	14	on	on	ADP
app01-10637	9	15	public	public	ADJ
app01-10637	9	16	awareness	awareness	NOUN
app01-10637	9	17	and	and	CCONJ
app01-10637	9	18	opinions	opinion	NOUN
app01-10637	9	19	on	on	ADP
app01-10637	9	20	the	the	DET
app01-10637	9	21	integration	integration	NOUN
app01-10637	9	22	of	of	ADP
app01-10637	9	23	interior	interior	ADJ
app01-10637	9	24	cameras	camera	NOUN
app01-10637	9	25	in	in	ADP
app01-10637	9	26	vehicles	vehicle	NOUN
app01-10637	9	27	across	across	ADP
app01-10637	9	28	europe	europe	PROPN
app01-10637	9	29	.	.	PUNCT
app01-10637	10	1	keywords	keyword	NOUN
app01-10637	10	2	:	:	PUNCT
app01-10637	10	3	adas	adas	PROPN
app01-10637	10	4	,	,	PUNCT
app01-10637	10	5	driver	driver	NOUN
app01-10637	10	6	drowsiness	drowsiness	NOUN
app01-10637	10	7	,	,	PUNCT
app01-10637	10	8	driver	driver	NOUN
app01-10637	10	9	fatigue	fatigue	NOUN
app01-10637	10	10	,	,	PUNCT
app01-10637	10	11	driver	driver	NOUN
app01-10637	10	12	attention	attention	NOUN
app01-10637	10	13	system	system	NOUN
app01-10637	10	14	,	,	PUNCT
app01-10637	10	15	vehicle	vehicle	NOUN
app01-10637	10	16	interior	interior	ADJ
app01-10637	10	17	camera	camera	NOUN
app01-10637	10	18	.	.	PUNCT
app01-10637	11	1	1	1	X
app01-10637	11	2	.	.	X
app01-10637	11	3	introduction	introduction	NOUN
app01-10637	11	4	in	in	ADP
app01-10637	11	5	the	the	DET
app01-10637	11	6	last	last	ADJ
app01-10637	11	7	few	few	ADJ
app01-10637	11	8	years	year	NOUN
app01-10637	11	9	,	,	PUNCT
app01-10637	11	10	traffic	traffic	NOUN
app01-10637	11	11	safety	safety	NOUN
app01-10637	11	12	has	have	AUX
app01-10637	11	13	become	become	VERB
app01-10637	11	14	an	an	DET
app01-10637	11	15	increasingly	increasingly	ADV
app01-10637	11	16	popular	popular	ADJ
app01-10637	11	17	topic	topic	NOUN
app01-10637	11	18	in	in	ADP
app01-10637	11	19	the	the	DET
app01-10637	11	20	automotive	automotive	ADJ
app01-10637	11	21	industry	industry	NOUN
app01-10637	11	22	.	.	PUNCT
app01-10637	12	1	the	the	DET
app01-10637	12	2	main	main	ADJ
app01-10637	12	3	goal	goal	NOUN
app01-10637	12	4	of	of	ADP
app01-10637	12	5	this	this	DET
app01-10637	12	6	research	research	NOUN
app01-10637	12	7	is	be	AUX
app01-10637	12	8	to	to	PART
app01-10637	12	9	reduce	reduce	VERB
app01-10637	12	10	the	the	DET
app01-10637	12	11	number	number	NOUN
app01-10637	12	12	of	of	ADP
app01-10637	12	13	accidents	accident	NOUN
app01-10637	12	14	related	relate	VERB
app01-10637	12	15	to	to	ADP
app01-10637	12	16	driver	driver	NOUN
app01-10637	12	17	fatigue	fatigue	NOUN
app01-10637	12	18	and	and	CCONJ
app01-10637	12	19	distraction	distraction	NOUN
app01-10637	12	20	.	.	PUNCT
app01-10637	13	1	according	accord	VERB
app01-10637	13	2	to	to	ADP
app01-10637	13	3	[	[	X
app01-10637	13	4	1	1	NUM
app01-10637	13	5	]	]	PUNCT
app01-10637	13	6	,	,	PUNCT
app01-10637	13	7	from	from	ADP
app01-10637	13	8	2022	2022	NUM
app01-10637	13	9	,	,	PUNCT
app01-10637	13	10	the	the	DET
app01-10637	13	11	number	number	NOUN
app01-10637	13	12	of	of	ADP
app01-10637	13	13	fatal	fatal	ADJ
app01-10637	13	14	accidents	accident	NOUN
app01-10637	13	15	on	on	ADP
app01-10637	13	16	the	the	DET
app01-10637	13	17	roads	road	NOUN
app01-10637	13	18	in	in	ADP
app01-10637	13	19	the	the	DET
app01-10637	13	20	united	united	PROPN
app01-10637	13	21	states	states	PROPN
app01-10637	13	22	,	,	PUNCT
app01-10637	13	23	was	be	AUX
app01-10637	13	24	693	693	NUM
app01-10637	13	25	,	,	PUNCT
app01-10637	13	26	which	which	PRON
app01-10637	13	27	is	be	AUX
app01-10637	13	28	1.6	1.6	NUM
app01-10637	13	29	%	%	NOUN
app01-10637	13	30	of	of	ADP
app01-10637	13	31	all	all	DET
app01-10637	13	32	fatal	fatal	ADJ
app01-10637	13	33	accidents	accident	NOUN
app01-10637	13	34	in	in	ADP
app01-10637	13	35	that	that	DET
app01-10637	13	36	year	year	NOUN
app01-10637	13	37	.	.	PUNCT
app01-10637	14	1	in	in	ADP
app01-10637	14	2	europe	europe	PROPN
app01-10637	14	3	,	,	PUNCT
app01-10637	14	4	the	the	DET
app01-10637	14	5	number	number	NOUN
app01-10637	14	6	of	of	ADP
app01-10637	14	7	accidents	accident	NOUN
app01-10637	14	8	caused	cause	VERB
app01-10637	14	9	by	by	ADP
app01-10637	14	10	driver	driver	NOUN
app01-10637	14	11	fatigue	fatigue	NOUN
app01-10637	14	12	is	be	AUX
app01-10637	14	13	around	around	ADV
app01-10637	14	14	20	20	NUM
app01-10637	14	15	%	%	NOUN
app01-10637	14	16	[	[	X
app01-10637	14	17	2	2	NUM
app01-10637	14	18	]	]	PUNCT
app01-10637	14	19	.	.	PUNCT
app01-10637	15	1	this	this	DET
app01-10637	15	2	situation	situation	NOUN
app01-10637	15	3	increases	increase	VERB
app01-10637	15	4	the	the	DET
app01-10637	15	5	pressure	pressure	NOUN
app01-10637	15	6	to	to	PART
app01-10637	15	7	develop	develop	VERB
app01-10637	15	8	technologies	technology	NOUN
app01-10637	15	9	to	to	PART
app01-10637	15	10	prevent	prevent	VERB
app01-10637	15	11	those	those	DET
app01-10637	15	12	kinds	kind	NOUN
app01-10637	15	13	of	of	ADP
app01-10637	15	14	accidents	accident	NOUN
app01-10637	15	15	from	from	ADP
app01-10637	15	16	happening	happen	VERB
app01-10637	15	17	.	.	PUNCT
app01-10637	16	1	this	this	DET
app01-10637	16	2	pressure	pressure	NOUN
app01-10637	16	3	is	be	AUX
app01-10637	16	4	evidenced	evidence	VERB
app01-10637	16	5	by	by	ADP
app01-10637	16	6	the	the	DET
app01-10637	16	7	european	european	PROPN
app01-10637	16	8	parliament	parliament	PROPN
app01-10637	16	9	regulations	regulation	NOUN
app01-10637	16	10	that	that	PRON
app01-10637	16	11	require	require	VERB
app01-10637	16	12	car	car	NOUN
app01-10637	16	13	manufacturers	manufacturer	NOUN
app01-10637	16	14	in	in	ADP
app01-10637	16	15	europe	europe	PROPN
app01-10637	16	16	to	to	PART
app01-10637	16	17	incorporate	incorporate	VERB
app01-10637	16	18	these	these	DET
app01-10637	16	19	systems	system	NOUN
app01-10637	16	20	in	in	ADP
app01-10637	16	21	their	their	PRON
app01-10637	16	22	vehicles	vehicle	NOUN
app01-10637	16	23	to	to	PART
app01-10637	16	24	pass	pass	VERB
app01-10637	16	25	the	the	DET
app01-10637	16	26	homologation	homologation	NOUN
app01-10637	16	27	.	.	PUNCT
app01-10637	17	1	one	one	NUM
app01-10637	17	2	of	of	ADP
app01-10637	17	3	the	the	DET
app01-10637	17	4	latest	late	ADJ
app01-10637	17	5	approaches	approach	NOUN
app01-10637	17	6	in	in	ADP
app01-10637	17	7	accident	accident	NOUN
app01-10637	17	8	prevention	prevention	NOUN
app01-10637	17	9	is	be	AUX
app01-10637	17	10	the	the	DET
app01-10637	17	11	integration	integration	NOUN
app01-10637	17	12	of	of	ADP
app01-10637	17	13	interior	interior	ADJ
app01-10637	17	14	cameras	camera	NOUN
app01-10637	17	15	that	that	PRON
app01-10637	17	16	have	have	VERB
app01-10637	17	17	the	the	DET
app01-10637	17	18	ability	ability	NOUN
app01-10637	17	19	to	to	PART
app01-10637	17	20	monitor	monitor	VERB
app01-10637	17	21	driver	driver	NOUN
app01-10637	17	22	behaviour	behaviour	NOUN
app01-10637	17	23	and	and	CCONJ
app01-10637	17	24	detect	detect	VERB
app01-10637	17	25	early	early	ADJ
app01-10637	17	26	signs	sign	NOUN
app01-10637	17	27	of	of	ADP
app01-10637	17	28	fatigue	fatigue	NOUN
app01-10637	17	29	,	,	PUNCT
app01-10637	17	30	drowsiness	drowsiness	NOUN
app01-10637	17	31	and	and	CCONJ
app01-10637	17	32	inattention	inattention	NOUN
app01-10637	17	33	.	.	PUNCT
app01-10637	18	1	there	there	PRON
app01-10637	18	2	are	be	VERB
app01-10637	18	3	several	several	ADJ
app01-10637	18	4	approaches	approach	NOUN
app01-10637	18	5	used	use	VERB
app01-10637	18	6	for	for	ADP
app01-10637	18	7	this	this	DET
app01-10637	18	8	detection	detection	NOUN
app01-10637	18	9	:	:	PUNCT
app01-10637	18	10	facial	facial	ADJ
app01-10637	18	11	and	and	CCONJ
app01-10637	18	12	eye	eye	NOUN
app01-10637	18	13	movement	movement	NOUN
app01-10637	18	14	analysis	analysis	NOUN
app01-10637	18	15	,	,	PUNCT
app01-10637	18	16	detection	detection	NOUN
app01-10637	18	17	of	of	ADP
app01-10637	18	18	the	the	DET
app01-10637	18	19	position	position	NOUN
app01-10637	18	20	of	of	ADP
app01-10637	18	21	the	the	DET
app01-10637	18	22	head	head	NOUN
app01-10637	18	23	and	and	CCONJ
app01-10637	18	24	the	the	DET
app01-10637	18	25	rest	rest	NOUN
app01-10637	18	26	of	of	ADP
app01-10637	18	27	the	the	DET
app01-10637	18	28	body	body	NOUN
app01-10637	18	29	or	or	CCONJ
app01-10637	18	30	monitoring	monitor	VERB
app01-10637	18	31	physiological	physiological	ADJ
app01-10637	18	32	signs	sign	NOUN
app01-10637	18	33	of	of	ADP
app01-10637	18	34	fatigue	fatigue	NOUN
app01-10637	18	35	such	such	ADJ
app01-10637	18	36	as	as	ADP
app01-10637	18	37	falling	fall	VERB
app01-10637	18	38	heart	heart	NOUN
app01-10637	18	39	and	and	CCONJ
app01-10637	18	40	respiratory	respiratory	ADJ
app01-10637	18	41	rates	rate	NOUN
app01-10637	18	42	.	.	PUNCT
app01-10637	19	1	however	however	ADV
app01-10637	19	2	,	,	PUNCT
app01-10637	19	3	it	it	PRON
app01-10637	19	4	has	have	AUX
app01-10637	19	5	not	not	PART
app01-10637	19	6	yet	yet	ADV
app01-10637	19	7	been	be	AUX
app01-10637	19	8	possible	possible	ADJ
app01-10637	19	9	to	to	PART
app01-10637	19	10	develop	develop	VERB
app01-10637	19	11	a	a	DET
app01-10637	19	12	system	system	NOUN
app01-10637	19	13	that	that	PRON
app01-10637	19	14	is	be	AUX
app01-10637	19	15	100	100	NUM
app01-10637	19	16	%	%	NOUN
app01-10637	19	17	reliable	reliable	ADJ
app01-10637	19	18	under	under	ADP
app01-10637	19	19	all	all	DET
app01-10637	19	20	operating	operating	NOUN
app01-10637	19	21	conditions	condition	NOUN
app01-10637	19	22	.	.	PUNCT
app01-10637	20	1	the	the	DET
app01-10637	20	2	introduction	introduction	NOUN
app01-10637	20	3	of	of	ADP
app01-10637	20	4	interior	interior	ADJ
app01-10637	20	5	cameras	camera	NOUN
app01-10637	20	6	brings	bring	VERB
app01-10637	20	7	a	a	DET
app01-10637	20	8	lot	lot	NOUN
app01-10637	20	9	of	of	ADP
app01-10637	20	10	benefits	benefit	NOUN
app01-10637	20	11	on	on	ADP
app01-10637	20	12	one	one	NUM
app01-10637	20	13	hand	hand	NOUN
app01-10637	20	14	,	,	PUNCT
app01-10637	20	15	but	but	CCONJ
app01-10637	20	16	they	they	PRON
app01-10637	20	17	can	can	AUX
app01-10637	20	18	raise	raise	VERB
app01-10637	20	19	questions	question	NOUN
app01-10637	20	20	about	about	ADP
app01-10637	20	21	privacy	privacy	NOUN
app01-10637	20	22	and	and	CCONJ
app01-10637	20	23	ethics	ethic	NOUN
app01-10637	20	24	on	on	ADP
app01-10637	20	25	the	the	DET
app01-10637	20	26	other	other	ADJ
app01-10637	20	27	.	.	PUNCT
app01-10637	21	1	public	public	ADJ
app01-10637	21	2	awareness	awareness	NOUN
app01-10637	21	3	will	will	AUX
app01-10637	21	4	play	play	VERB
app01-10637	21	5	an	an	DET
app01-10637	21	6	important	important	ADJ
app01-10637	21	7	role	role	NOUN
app01-10637	21	8	in	in	ADP
app01-10637	21	9	the	the	DET
app01-10637	21	10	successful	successful	ADJ
app01-10637	21	11	implementation	implementation	NOUN
app01-10637	21	12	of	of	ADP
app01-10637	21	13	these	these	DET
app01-10637	21	14	systems	system	NOUN
app01-10637	21	15	.	.	PUNCT
app01-10637	22	1	in	in	ADP
app01-10637	22	2	order	order	NOUN
app01-10637	22	3	to	to	PART
app01-10637	22	4	get	get	VERB
app01-10637	22	5	a	a	DET
app01-10637	22	6	better	well	ADJ
app01-10637	22	7	idea	idea	NOUN
app01-10637	22	8	of	of	ADP
app01-10637	22	9	public	public	ADJ
app01-10637	22	10	opinion	opinion	NOUN
app01-10637	22	11	towards	towards	ADP
app01-10637	22	12	these	these	DET
app01-10637	22	13	technologies	technology	NOUN
app01-10637	22	14	,	,	PUNCT
app01-10637	22	15	a	a	DET
app01-10637	22	16	survey	survey	NOUN
app01-10637	22	17	has	have	AUX
app01-10637	22	18	been	be	AUX
app01-10637	22	19	created	create	VERB
app01-10637	22	20	with	with	ADP
app01-10637	22	21	a	a	DET
app01-10637	22	22	focus	focus	NOUN
app01-10637	22	23	on	on	ADP
app01-10637	22	24	public	public	ADJ
app01-10637	22	25	awareness	awareness	NOUN
app01-10637	22	26	and	and	CCONJ
app01-10637	22	27	views	view	NOUN
app01-10637	22	28	on	on	ADP
app01-10637	22	29	the	the	DET
app01-10637	22	30	deployment	deployment	NOUN
app01-10637	22	31	of	of	ADP
app01-10637	22	32	interior	interior	ADJ
app01-10637	22	33	cameras	camera	NOUN
app01-10637	22	34	in	in	ADP
app01-10637	22	35	vehicles	vehicle	NOUN
app01-10637	22	36	in	in	ADP
app01-10637	22	37	europe	europe	PROPN
app01-10637	22	38	.	.	PUNCT
app01-10637	23	1	the	the	DET
app01-10637	23	2	aim	aim	NOUN
app01-10637	23	3	of	of	ADP
app01-10637	23	4	this	this	DET
app01-10637	23	5	article	article	NOUN
app01-10637	23	6	is	be	AUX
app01-10637	23	7	to	to	PART
app01-10637	23	8	provide	provide	VERB
app01-10637	23	9	an	an	DET
app01-10637	23	10	overview	overview	NOUN
app01-10637	23	11	of	of	ADP
app01-10637	23	12	methods	method	NOUN
app01-10637	23	13	for	for	ADP
app01-10637	23	14	detecting	detect	VERB
app01-10637	23	15	driver	driver	NOUN
app01-10637	23	16	fatigue	fatigue	NOUN
app01-10637	23	17	,	,	PUNCT
app01-10637	23	18	drowsiness	drowsiness	NOUN
app01-10637	23	19	and	and	CCONJ
app01-10637	23	20	inattention	inattention	NOUN
app01-10637	23	21	using	use	VERB
app01-10637	23	22	an	an	DET
app01-10637	23	23	interior	interior	ADJ
app01-10637	23	24	camera	camera	NOUN
app01-10637	23	25	.	.	PUNCT
app01-10637	24	1	it	it	PRON
app01-10637	24	2	also	also	ADV
app01-10637	24	3	focuses	focus	VERB
app01-10637	24	4	on	on	ADP
app01-10637	24	5	the	the	DET
app01-10637	24	6	analysis	analysis	NOUN
app01-10637	24	7	of	of	ADP
app01-10637	24	8	the	the	DET
app01-10637	24	9	results	result	NOUN
app01-10637	24	10	of	of	ADP
app01-10637	24	11	a	a	DET
app01-10637	24	12	survey	survey	NOUN
app01-10637	24	13	that	that	PRON
app01-10637	24	14	maps	map	VERB
app01-10637	24	15	public	public	ADJ
app01-10637	24	16	awareness	awareness	NOUN
app01-10637	24	17	and	and	CCONJ
app01-10637	24	18	opinions	opinion	NOUN
app01-10637	24	19	towards	towards	ADP
app01-10637	24	20	these	these	DET
app01-10637	24	21	technologies	technology	NOUN
app01-10637	24	22	.	.	PUNCT
app01-10637	25	1	this	this	DET
app01-10637	25	2	research	research	NOUN
app01-10637	25	3	aims	aim	VERB
app01-10637	25	4	to	to	PART
app01-10637	25	5	contribute	contribute	VERB
app01-10637	25	6	to	to	ADP
app01-10637	25	7	a	a	DET
app01-10637	25	8	better	well	ADJ
app01-10637	25	9	understanding	understanding	NOUN
app01-10637	25	10	of	of	ADP
app01-10637	25	11	how	how	SCONJ
app01-10637	25	12	the	the	DET
app01-10637	25	13	public	public	NOUN
app01-10637	25	14	perceives	perceive	VERB
app01-10637	25	15	these	these	DET
app01-10637	25	16	new	new	ADJ
app01-10637	25	17	technologies	technology	NOUN
app01-10637	25	18	and	and	CCONJ
app01-10637	25	19	to	to	PART
app01-10637	25	20	offer	offer	VERB
app01-10637	25	21	recommendations	recommendation	NOUN
app01-10637	25	22	for	for	ADP
app01-10637	25	23	the	the	DET
app01-10637	25	24	effective	effective	ADJ
app01-10637	25	25	implementation	implementation	NOUN
app01-10637	25	26	of	of	ADP
app01-10637	25	27	these	these	DET
app01-10637	25	28	technologies	technology	NOUN
app01-10637	25	29	within	within	ADP
app01-10637	25	30	the	the	DET
app01-10637	25	31	european	european	PROPN
app01-10637	25	32	union	union	PROPN
app01-10637	25	33	.	.	PUNCT
app01-10637	26	1	2	2	X
app01-10637	26	2	.	.	X
app01-10637	26	3	methods	method	NOUN
app01-10637	26	4	of	of	ADP
app01-10637	26	5	monitoring	monitor	VERB
app01-10637	26	6	the	the	DET
app01-10637	26	7	driver	driver	NOUN
app01-10637	26	8	’s	’s	PART
app01-10637	26	9	state	state	NOUN
app01-10637	26	10	2.1	2.1	NUM
app01-10637	26	11	.	.	PUNCT
app01-10637	27	1	classification	classification	NOUN
app01-10637	27	2	of	of	ADP
app01-10637	27	3	methods	method	NOUN
app01-10637	27	4	to	to	PART
app01-10637	27	5	detect	detect	VERB
app01-10637	27	6	driver	driver	NOUN
app01-10637	27	7	fatigue	fatigue	NOUN
app01-10637	27	8	and	and	CCONJ
app01-10637	27	9	drowsiness	drowsiness	NOUN
app01-10637	27	10	methods	method	NOUN
app01-10637	27	11	to	to	PART
app01-10637	27	12	detect	detect	VERB
app01-10637	27	13	driver	driver	NOUN
app01-10637	27	14	fatigue	fatigue	NOUN
app01-10637	27	15	and	and	CCONJ
app01-10637	27	16	drowsiness	drowsiness	NOUN
app01-10637	27	17	can	can	AUX
app01-10637	27	18	be	be	AUX
app01-10637	27	19	divided	divide	VERB
app01-10637	27	20	into	into	ADP
app01-10637	27	21	two	two	NUM
app01-10637	27	22	categories	category	NOUN
app01-10637	27	23	:	:	PUNCT
app01-10637	27	24	invasive	invasive	ADJ
app01-10637	27	25	and	and	CCONJ
app01-10637	27	26	non	non	ADJ
app01-10637	27	27	-	-	ADJ
app01-10637	27	28	invasive	invasive	ADJ
app01-10637	27	29	.	.	PUNCT
app01-10637	28	1	invasive	invasive	ADJ
app01-10637	28	2	methods	method	NOUN
app01-10637	28	3	monitor	monitor	VERB
app01-10637	28	4	physiological	physiological	ADJ
app01-10637	28	5	parameters	parameter	NOUN
app01-10637	28	6	and	and	CCONJ
app01-10637	28	7	often	often	ADV
app01-10637	28	8	require	require	VERB
app01-10637	28	9	sensors	sensor	NOUN
app01-10637	28	10	to	to	PART
app01-10637	28	11	be	be	AUX
app01-10637	28	12	in	in	ADP
app01-10637	28	13	contact	contact	NOUN
app01-10637	28	14	with	with	ADP
app01-10637	28	15	the	the	DET
app01-10637	28	16	body	body	NOUN
app01-10637	28	17	.	.	PUNCT
app01-10637	29	1	examples	example	NOUN
app01-10637	29	2	of	of	ADP
app01-10637	29	3	such	such	ADJ
app01-10637	29	4	methods	method	NOUN
app01-10637	29	5	are	be	AUX
app01-10637	29	6	the	the	DET
app01-10637	29	7	eeg	eeg	X
app01-10637	29	8	(	(	PUNCT
app01-10637	29	9	electroencephalogram	electroencephalogram	PROPN
app01-10637	29	10	)	)	PUNCT
app01-10637	29	11	,	,	PUNCT
app01-10637	29	12	which	which	PRON
app01-10637	29	13	monitors	monitor	VERB
app01-10637	29	14	brain	brain	NOUN
app01-10637	29	15	activity	activity	NOUN
app01-10637	29	16	,	,	PUNCT
app01-10637	29	17	or	or	CCONJ
app01-10637	29	18	the	the	DET
app01-10637	29	19	ecg	ecg	PROPN
app01-10637	29	20	(	(	PUNCT
app01-10637	29	21	electrocardiogram	electrocardiogram	NOUN
app01-10637	29	22	)	)	PUNCT
app01-10637	29	23	,	,	PUNCT
app01-10637	29	24	which	which	PRON
app01-10637	29	25	monitors	monitor	VERB
app01-10637	29	26	the	the	DET
app01-10637	29	27	electrical	electrical	ADJ
app01-10637	29	28	activity	activity	NOUN
app01-10637	29	29	of	of	ADP
app01-10637	29	30	the	the	DET
app01-10637	29	31	heart	heart	NOUN
app01-10637	29	32	.	.	PUNCT
app01-10637	30	1	these	these	DET
app01-10637	30	2	methods	method	NOUN
app01-10637	30	3	often	often	ADV
app01-10637	30	4	provide	provide	VERB
app01-10637	30	5	more	more	ADV
app01-10637	30	6	accurate	accurate	ADJ
app01-10637	30	7	information	information	NOUN
app01-10637	30	8	but	but	CCONJ
app01-10637	30	9	are	be	AUX
app01-10637	30	10	difficult	difficult	ADJ
app01-10637	30	11	to	to	PART
app01-10637	30	12	use	use	VERB
app01-10637	30	13	and	and	CCONJ
app01-10637	30	14	can	can	AUX
app01-10637	30	15	cause	cause	VERB
app01-10637	30	16	discomfort	discomfort	NOUN
app01-10637	30	17	to	to	ADP
app01-10637	30	18	the	the	DET
app01-10637	30	19	driver	driver	NOUN
app01-10637	30	20	.	.	PUNCT
app01-10637	31	1	noninvasive	noninvasive	ADJ
app01-10637	31	2	methods	method	NOUN
app01-10637	31	3	are	be	AUX
app01-10637	31	4	preferred	prefer	VERB
app01-10637	31	5	for	for	ADP
app01-10637	31	6	their	their	PRON
app01-10637	31	7	convenience	convenience	NOUN
app01-10637	31	8	and	and	CCONJ
app01-10637	31	9	less	less	ADJ
app01-10637	31	10	intervention	intervention	NOUN
app01-10637	31	11	for	for	ADP
app01-10637	31	12	the	the	DET
app01-10637	31	13	user	user	NOUN
app01-10637	31	14	.	.	PUNCT
app01-10637	32	1	they	they	PRON
app01-10637	32	2	can	can	AUX
app01-10637	32	3	,	,	PUNCT
app01-10637	32	4	for	for	ADP
app01-10637	32	5	example	example	NOUN
app01-10637	32	6	,	,	PUNCT
app01-10637	32	7	analyse	analyse	VERB
app01-10637	32	8	facial	facial	ADJ
app01-10637	32	9	expressions	expression	NOUN
app01-10637	32	10	,	,	PUNCT
app01-10637	32	11	eye	eye	NOUN
app01-10637	32	12	movements	movement	NOUN
app01-10637	32	13	or	or	CCONJ
app01-10637	32	14	detect	detect	VERB
app01-10637	32	15	changes	change	NOUN
app01-10637	32	16	in	in	ADP
app01-10637	32	17	driving	drive	VERB
app01-10637	32	18	.	.	PUNCT
app01-10637	33	1	methods	method	NOUN
app01-10637	33	2	are	be	AUX
app01-10637	33	3	based	base	VERB
app01-10637	33	4	on	on	ADP
app01-10637	33	5	sensing	sense	VERB
app01-10637	33	6	using	use	VERB
app01-10637	33	7	external	external	ADJ
app01-10637	33	8	technology	technology	NOUN
app01-10637	33	9	such	such	ADJ
app01-10637	33	10	as	as	ADP
app01-10637	33	11	an	an	DET
app01-10637	33	12	interior	interior	ADJ
app01-10637	33	13	camera	camera	NOUN
app01-10637	33	14	or	or	CCONJ
app01-10637	33	15	sensors	sensor	NOUN
app01-10637	33	16	in	in	ADP
app01-10637	33	17	the	the	DET
app01-10637	33	18	vehicle	vehicle	NOUN
app01-10637	33	19	.	.	PUNCT
app01-10637	34	1	another	another	DET
app01-10637	34	2	division	division	NOUN
app01-10637	34	3	that	that	PRON
app01-10637	34	4	can	can	AUX
app01-10637	34	5	be	be	AUX
app01-10637	34	6	used	use	VERB
app01-10637	34	7	is	be	AUX
app01-10637	34	8	based	base	VERB
app01-10637	34	9	on	on	ADP
app01-10637	34	10	the	the	DET
app01-10637	34	11	observed	observed	ADJ
app01-10637	34	12	parameters	parameter	NOUN
app01-10637	34	13	:	:	PUNCT
app01-10637	34	14	behavioural	behavioural	ADJ
app01-10637	34	15	,	,	PUNCT
app01-10637	34	16	psychological	psychological	ADJ
app01-10637	34	17	and	and	CCONJ
app01-10637	34	18	vehicle	vehicle	NOUN
app01-10637	34	19	parameters	parameter	NOUN
app01-10637	34	20	.	.	PUNCT
app01-10637	35	1	behavioural	behavioural	ADJ
app01-10637	35	2	parameters	parameter	NOUN
app01-10637	35	3	include	include	VERB
app01-10637	35	4	50	50	NUM
app01-10637	35	5	https://doi.org/10.14311/app.2025.52.0050	https://doi.org/10.14311/app.2025.52.0050	PROPN
app01-10637	35	6	https://creativecommons.org/licenses/by/4.0/	https://creativecommons.org/licenses/by/4.0/	PROPN
app01-10637	35	7	https://www.cvut.cz/en	https://www.cvut.cz/en	NOUN
app01-10637	35	8	vol	vol	NOUN
app01-10637	35	9	.	.	PUNCT
app01-10637	36	1	52/2025	52/2025	NUM
app01-10637	36	2	driver	driver	NOUN
app01-10637	36	3	drowsiness	drowsiness	NOUN
app01-10637	36	4	and	and	CCONJ
app01-10637	36	5	fatigue	fatigue	NOUN
app01-10637	36	6	with	with	ADP
app01-10637	36	7	interior	interior	ADJ
app01-10637	36	8	camera	camera	NOUN
app01-10637	36	9	monitoring	monitoring	NOUN
app01-10637	36	10	changes	change	NOUN
app01-10637	36	11	in	in	ADP
app01-10637	36	12	driver	driver	NOUN
app01-10637	36	13	behaviour	behaviour	NOUN
app01-10637	36	14	,	,	PUNCT
app01-10637	36	15	changes	change	NOUN
app01-10637	36	16	in	in	ADP
app01-10637	36	17	driving	drive	VERB
app01-10637	36	18	style	style	NOUN
app01-10637	36	19	or	or	CCONJ
app01-10637	36	20	increased	increase	VERB
app01-10637	36	21	blinking	blink	VERB
app01-10637	36	22	frequency	frequency	NOUN
app01-10637	36	23	.	.	PUNCT
app01-10637	37	1	psychological	psychological	ADJ
app01-10637	37	2	parameters	parameter	NOUN
app01-10637	37	3	include	include	VERB
app01-10637	37	4	tests	test	NOUN
app01-10637	37	5	of	of	ADP
app01-10637	37	6	attention	attention	NOUN
app01-10637	37	7	and	and	CCONJ
app01-10637	37	8	concentration	concentration	NOUN
app01-10637	37	9	that	that	PRON
app01-10637	37	10	attempt	attempt	VERB
app01-10637	37	11	to	to	PART
app01-10637	37	12	detect	detect	VERB
app01-10637	37	13	cognitive	cognitive	ADJ
app01-10637	37	14	decline	decline	NOUN
app01-10637	37	15	.	.	PUNCT
app01-10637	38	1	vehicular	vehicular	ADJ
app01-10637	38	2	parameters	parameter	NOUN
app01-10637	38	3	monitor	monitor	VERB
app01-10637	38	4	technical	technical	ADJ
app01-10637	38	5	aspects	aspect	NOUN
app01-10637	38	6	of	of	ADP
app01-10637	38	7	the	the	DET
app01-10637	38	8	vehicle	vehicle	NOUN
app01-10637	38	9	,	,	PUNCT
app01-10637	38	10	such	such	ADJ
app01-10637	38	11	as	as	ADP
app01-10637	38	12	distance	distance	NOUN
app01-10637	38	13	from	from	ADP
app01-10637	38	14	lanes	lane	NOUN
app01-10637	38	15	,	,	PUNCT
app01-10637	38	16	changes	change	NOUN
app01-10637	38	17	in	in	ADP
app01-10637	38	18	speed	speed	NOUN
app01-10637	38	19	or	or	CCONJ
app01-10637	38	20	sudden	sudden	ADJ
app01-10637	38	21	course	course	NOUN
app01-10637	38	22	corrections	correction	NOUN
app01-10637	38	23	.	.	PUNCT
app01-10637	39	1	2.2	2.2	NUM
app01-10637	39	2	.	.	PUNCT
app01-10637	40	1	common	common	ADJ
app01-10637	40	2	methods	method	NOUN
app01-10637	40	3	for	for	ADP
app01-10637	40	4	monitoring	monitor	VERB
app01-10637	40	5	driver	driver	NOUN
app01-10637	40	6	health	health	NOUN
app01-10637	40	7	there	there	PRON
app01-10637	40	8	are	be	VERB
app01-10637	40	9	many	many	ADJ
app01-10637	40	10	methods	method	NOUN
app01-10637	40	11	used	use	VERB
app01-10637	40	12	nowadays	nowadays	ADV
app01-10637	40	13	to	to	PART
app01-10637	40	14	detect	detect	VERB
app01-10637	40	15	driver	driver	NOUN
app01-10637	40	16	state	state	NOUN
app01-10637	40	17	.	.	PUNCT
app01-10637	41	1	in	in	ADP
app01-10637	41	2	this	this	DET
app01-10637	41	3	paper	paper	NOUN
app01-10637	41	4	,	,	PUNCT
app01-10637	41	5	authors	author	NOUN
app01-10637	41	6	will	will	AUX
app01-10637	41	7	focus	focus	VERB
app01-10637	41	8	on	on	ADP
app01-10637	41	9	the	the	DET
app01-10637	41	10	most	most	ADV
app01-10637	41	11	used	use	VERB
app01-10637	41	12	methods	method	NOUN
app01-10637	41	13	and	and	CCONJ
app01-10637	41	14	their	their	PRON
app01-10637	41	15	accuracy	accuracy	NOUN
app01-10637	41	16	in	in	ADP
app01-10637	41	17	use	use	NOUN
app01-10637	41	18	.	.	PUNCT
app01-10637	42	1	2.2.1	2.2.1	X
app01-10637	42	2	.	.	PUNCT
app01-10637	43	1	perclos	perclo	NOUN
app01-10637	43	2	perclos	perclo	NOUN
app01-10637	43	3	(	(	PUNCT
app01-10637	43	4	percentage	percentage	NOUN
app01-10637	43	5	of	of	ADP
app01-10637	43	6	eyelid	eyelid	NOUN
app01-10637	43	7	closure	closure	NOUN
app01-10637	43	8	)	)	PUNCT
app01-10637	43	9	is	be	AUX
app01-10637	43	10	a	a	DET
app01-10637	43	11	method	method	NOUN
app01-10637	43	12	based	base	VERB
app01-10637	43	13	on	on	ADP
app01-10637	43	14	tracking	track	VERB
app01-10637	43	15	the	the	DET
app01-10637	43	16	movement	movement	NOUN
app01-10637	43	17	of	of	ADP
app01-10637	43	18	eyes	eye	NOUN
app01-10637	43	19	,	,	PUNCT
app01-10637	43	20	specifically	specifically	ADV
app01-10637	43	21	their	their	PRON
app01-10637	43	22	closure	closure	NOUN
app01-10637	43	23	time	time	NOUN
app01-10637	43	24	over	over	ADP
app01-10637	43	25	a	a	DET
app01-10637	43	26	period	period	NOUN
app01-10637	43	27	of	of	ADP
app01-10637	43	28	time	time	NOUN
app01-10637	43	29	.	.	PUNCT
app01-10637	44	1	the	the	DET
app01-10637	44	2	main	main	ADJ
app01-10637	44	3	idea	idea	NOUN
app01-10637	44	4	is	be	AUX
app01-10637	44	5	that	that	SCONJ
app01-10637	44	6	as	as	ADP
app01-10637	44	7	fatigue	fatigue	NOUN
app01-10637	44	8	increases	increase	NOUN
app01-10637	44	9	,	,	PUNCT
app01-10637	44	10	the	the	DET
app01-10637	44	11	frequency	frequency	NOUN
app01-10637	44	12	and	and	CCONJ
app01-10637	44	13	total	total	ADJ
app01-10637	44	14	time	time	NOUN
app01-10637	44	15	of	of	ADP
app01-10637	44	16	eye	eye	NOUN
app01-10637	44	17	closure	closure	NOUN
app01-10637	44	18	increases	increase	NOUN
app01-10637	44	19	.	.	PUNCT
app01-10637	45	1	the	the	DET
app01-10637	45	2	method	method	NOUN
app01-10637	45	3	analyzes	analyze	VERB
app01-10637	45	4	how	how	SCONJ
app01-10637	45	5	long	long	ADV
app01-10637	45	6	during	during	ADP
app01-10637	45	7	a	a	DET
app01-10637	45	8	certain	certain	ADJ
app01-10637	45	9	time	time	NOUN
app01-10637	45	10	interval	interval	NOUN
app01-10637	45	11	the	the	DET
app01-10637	45	12	eyelids	eyelid	NOUN
app01-10637	45	13	are	be	AUX
app01-10637	45	14	closed	close	VERB
app01-10637	45	15	above	above	ADP
app01-10637	45	16	a	a	DET
app01-10637	45	17	certain	certain	ADJ
app01-10637	45	18	threshold	threshold	NOUN
app01-10637	45	19	.	.	PUNCT
app01-10637	46	1	most	most	ADV
app01-10637	46	2	often	often	ADV
app01-10637	46	3	,	,	PUNCT
app01-10637	46	4	an	an	DET
app01-10637	46	5	eye	eye	NOUN
app01-10637	46	6	is	be	AUX
app01-10637	46	7	considered	consider	VERB
app01-10637	46	8	closed	closed	ADJ
app01-10637	46	9	when	when	SCONJ
app01-10637	46	10	the	the	DET
app01-10637	46	11	eyelid	eyelid	NOUN
app01-10637	46	12	covers	cover	VERB
app01-10637	46	13	about	about	ADP
app01-10637	46	14	70–80	70–80	NUM
app01-10637	46	15	%	%	NOUN
app01-10637	46	16	of	of	ADP
app01-10637	46	17	the	the	DET
app01-10637	46	18	eye	eye	NOUN
app01-10637	46	19	.	.	PUNCT
app01-10637	47	1	the	the	DET
app01-10637	47	2	measurement	measurement	NOUN
app01-10637	47	3	is	be	AUX
app01-10637	47	4	most	most	ADV
app01-10637	47	5	often	often	ADV
app01-10637	47	6	made	make	VERB
app01-10637	47	7	using	use	VERB
app01-10637	47	8	camera	camera	NOUN
app01-10637	47	9	systems	system	NOUN
app01-10637	47	10	that	that	PRON
app01-10637	47	11	monitor	monitor	VERB
app01-10637	47	12	a	a	DET
app01-10637	47	13	person	person	NOUN
app01-10637	47	14	’s	’s	PART
app01-10637	47	15	face	face	NOUN
app01-10637	47	16	and	and	CCONJ
app01-10637	47	17	eyes	eye	NOUN
app01-10637	47	18	.	.	PUNCT
app01-10637	48	1	the	the	DET
app01-10637	48	2	following	follow	VERB
app01-10637	48	3	formula	formula	NOUN
app01-10637	48	4	1	1	NUM
app01-10637	48	5	is	be	AUX
app01-10637	48	6	used	use	VERB
app01-10637	48	7	to	to	PART
app01-10637	48	8	calculated	calculate	VERB
app01-10637	48	9	perclos	perclo	NOUN
app01-10637	48	10	[	[	X
app01-10637	48	11	3	3	NUM
app01-10637	48	12	]	]	PUNCT
app01-10637	48	13	.	.	PUNCT
app01-10637	49	1	perclos	perclo	NOUN
app01-10637	49	2	=	=	SYM
app01-10637	49	3	100×	100×	PROPN
app01-10637	49	4	(	(	PUNCT
app01-10637	49	5	number	number	NOUN
app01-10637	49	6	of	of	ADP
app01-10637	49	7	eye	eye	NOUN
app01-10637	49	8	closure	closure	NOUN
app01-10637	49	9	events	event	NOUN
app01-10637	49	10	total	total	ADJ
app01-10637	49	11	number	number	NOUN
app01-10637	49	12	of	of	ADP
app01-10637	49	13	frames	frame	NOUN
app01-10637	49	14	)	)	PUNCT
app01-10637	49	15	(	(	PUNCT
app01-10637	49	16	1	1	X
app01-10637	49	17	)	)	PUNCT
app01-10637	49	18	a	a	DET
app01-10637	49	19	higher	high	ADJ
app01-10637	49	20	percentage	percentage	NOUN
app01-10637	49	21	of	of	ADP
app01-10637	49	22	perclos	perclo	NOUN
app01-10637	49	23	means	mean	VERB
app01-10637	49	24	that	that	SCONJ
app01-10637	49	25	the	the	DET
app01-10637	49	26	eye	eye	NOUN
app01-10637	49	27	was	be	AUX
app01-10637	49	28	closed	close	VERB
app01-10637	49	29	a	a	DET
app01-10637	49	30	greater	great	ADJ
app01-10637	49	31	proportion	proportion	NOUN
app01-10637	49	32	of	of	ADP
app01-10637	49	33	the	the	DET
app01-10637	49	34	time	time	NOUN
app01-10637	49	35	,	,	PUNCT
app01-10637	49	36	indicating	indicate	VERB
app01-10637	49	37	greater	great	ADJ
app01-10637	49	38	fatigue	fatigue	NOUN
app01-10637	49	39	.	.	PUNCT
app01-10637	50	1	typically	typically	ADV
app01-10637	50	2	a	a	DET
app01-10637	50	3	threshold	threshold	NOUN
app01-10637	50	4	must	must	AUX
app01-10637	50	5	be	be	AUX
app01-10637	50	6	set	set	VERB
app01-10637	50	7	which	which	PRON
app01-10637	50	8	,	,	PUNCT
app01-10637	50	9	if	if	SCONJ
app01-10637	50	10	exceeded	exceed	VERB
app01-10637	50	11	,	,	PUNCT
app01-10637	50	12	indicates	indicate	VERB
app01-10637	50	13	driver	driver	NOUN
app01-10637	50	14	fatigue	fatigue	NOUN
app01-10637	50	15	.	.	PUNCT
app01-10637	51	1	the	the	DET
app01-10637	51	2	threshold	threshold	NOUN
app01-10637	51	3	value	value	NOUN
app01-10637	51	4	is	be	AUX
app01-10637	51	5	usually	usually	ADV
app01-10637	51	6	between	between	ADP
app01-10637	51	7	20	20	NUM
app01-10637	51	8	and	and	CCONJ
app01-10637	51	9	40	40	NUM
app01-10637	51	10	%	%	NOUN
app01-10637	51	11	.	.	PUNCT
app01-10637	52	1	2.2.2	2.2.2	X
app01-10637	52	2	.	.	X
app01-10637	52	3	ear	ear	NOUN
app01-10637	52	4	ear	ear	X
app01-10637	52	5	(	(	PUNCT
app01-10637	52	6	eye	eye	NOUN
app01-10637	52	7	aspect	aspect	NOUN
app01-10637	52	8	ratio	ratio	NOUN
app01-10637	52	9	)	)	PUNCT
app01-10637	52	10	is	be	AUX
app01-10637	52	11	an	an	DET
app01-10637	52	12	algorithm	algorithm	NOUN
app01-10637	52	13	based	base	VERB
app01-10637	52	14	on	on	ADP
app01-10637	52	15	geometric	geometric	ADJ
app01-10637	52	16	analysis	analysis	NOUN
app01-10637	52	17	of	of	ADP
app01-10637	52	18	the	the	DET
app01-10637	52	19	eyes	eye	NOUN
app01-10637	52	20	(	(	PUNCT
app01-10637	52	21	figure	figure	NOUN
app01-10637	52	22	1	1	NUM
app01-10637	52	23	)	)	PUNCT
app01-10637	52	24	.	.	PUNCT
app01-10637	53	1	typically	typically	ADV
app01-10637	53	2	,	,	PUNCT
app01-10637	53	3	several	several	ADJ
app01-10637	53	4	points	point	NOUN
app01-10637	53	5	are	be	AUX
app01-10637	53	6	tracked	track	VERB
app01-10637	53	7	around	around	ADP
app01-10637	53	8	the	the	DET
app01-10637	53	9	eye	eye	NOUN
app01-10637	53	10	to	to	PART
app01-10637	53	11	determine	determine	VERB
app01-10637	53	12	its	its	PRON
app01-10637	53	13	shape	shape	NOUN
app01-10637	53	14	.	.	PUNCT
app01-10637	54	1	figure	figure	NOUN
app01-10637	54	2	1	1	NUM
app01-10637	54	3	.	.	PUNCT
app01-10637	55	1	facial	facial	ADJ
app01-10637	55	2	points	point	NOUN
app01-10637	55	3	(	(	PUNCT
app01-10637	55	4	p1	p1	NOUN
app01-10637	55	5	–	–	PUNCT
app01-10637	55	6	p6	p6	PROPN
app01-10637	55	7	)	)	PUNCT
app01-10637	55	8	while	while	SCONJ
app01-10637	55	9	the	the	DET
app01-10637	55	10	eye	eye	NOUN
app01-10637	55	11	is	be	AUX
app01-10637	55	12	a	a	PRON
app01-10637	55	13	)	)	PUNCT
app01-10637	55	14	open	open	ADJ
app01-10637	55	15	and	and	CCONJ
app01-10637	55	16	b	b	NOUN
app01-10637	55	17	)	)	PUNCT
app01-10637	55	18	closed	close	VERB
app01-10637	55	19	[	[	X
app01-10637	55	20	4	4	NUM
app01-10637	55	21	]	]	PUNCT
app01-10637	55	22	.	.	PUNCT
app01-10637	56	1	points	point	NOUN
app01-10637	56	2	p1	p1	NOUN
app01-10637	56	3	and	and	CCONJ
app01-10637	56	4	p4	p4	ADJ
app01-10637	56	5	determine	determine	VERB
app01-10637	56	6	the	the	DET
app01-10637	56	7	width	width	NOUN
app01-10637	56	8	of	of	ADP
app01-10637	56	9	the	the	DET
app01-10637	56	10	eye	eye	NOUN
app01-10637	56	11	,	,	PUNCT
app01-10637	56	12	the	the	DET
app01-10637	56	13	remaining	remain	VERB
app01-10637	56	14	four	four	NUM
app01-10637	56	15	points	point	NOUN
app01-10637	56	16	determine	determine	VERB
app01-10637	56	17	the	the	DET
app01-10637	56	18	vertical	vertical	ADJ
app01-10637	56	19	dimensions	dimension	NOUN
app01-10637	56	20	of	of	ADP
app01-10637	56	21	the	the	DET
app01-10637	56	22	eye	eye	NOUN
app01-10637	56	23	.	.	PUNCT
app01-10637	57	1	the	the	DET
app01-10637	57	2	ear	ear	NOUN
app01-10637	57	3	ratio	ratio	NOUN
app01-10637	57	4	is	be	AUX
app01-10637	57	5	then	then	ADV
app01-10637	57	6	calculated	calculate	VERB
app01-10637	57	7	using	use	VERB
app01-10637	57	8	the	the	DET
app01-10637	57	9	following	follow	VERB
app01-10637	57	10	formula	formula	NOUN
app01-10637	57	11	2	2	NUM
app01-10637	57	12	.	.	PUNCT
app01-10637	58	1	ear	ear	NOUN
app01-10637	58	2	=	=	SYM
app01-10637	58	3	|p2	|p2	PROPN
app01-10637	58	4	−	−	PROPN
app01-10637	58	5	p6|+	p6|+	PROPN
app01-10637	58	6	|p3	|p3	PROPN
app01-10637	58	7	−	−	PROPN
app01-10637	59	1	p5|	p5|	PROPN
app01-10637	59	2	2|p1	2|p1	NOUN
app01-10637	60	1	−	−	PROPN
app01-10637	60	2	p4|	p4|	PROPN
app01-10637	60	3	(	(	PUNCT
app01-10637	60	4	2	2	NUM
app01-10637	60	5	)	)	PUNCT
app01-10637	60	6	if	if	SCONJ
app01-10637	60	7	the	the	DET
app01-10637	60	8	eye	eye	NOUN
app01-10637	60	9	is	be	AUX
app01-10637	60	10	open	open	ADJ
app01-10637	60	11	,	,	PUNCT
app01-10637	60	12	the	the	DET
app01-10637	60	13	ear	ear	NOUN
app01-10637	60	14	reaches	reach	VERB
app01-10637	60	15	higher	high	ADJ
app01-10637	60	16	values	value	NOUN
app01-10637	60	17	because	because	SCONJ
app01-10637	60	18	there	there	PRON
app01-10637	60	19	is	be	VERB
app01-10637	60	20	a	a	DET
app01-10637	60	21	greater	great	ADJ
app01-10637	60	22	distance	distance	NOUN
app01-10637	60	23	between	between	ADP
app01-10637	60	24	points	point	NOUN
app01-10637	60	25	p2	p2	NOUN
app01-10637	60	26	,	,	PUNCT
app01-10637	60	27	p3	p3	NOUN
app01-10637	60	28	and	and	CCONJ
app01-10637	60	29	p5	p5	ADJ
app01-10637	60	30	,	,	PUNCT
app01-10637	60	31	p6	p6	PROPN
app01-10637	60	32	.	.	PUNCT
app01-10637	61	1	the	the	DET
app01-10637	61	2	threshold	threshold	NOUN
app01-10637	61	3	is	be	AUX
app01-10637	61	4	often	often	ADV
app01-10637	61	5	set	set	VERB
app01-10637	61	6	to	to	ADP
app01-10637	61	7	0.2	0.2	NUM
app01-10637	61	8	,	,	PUNCT
app01-10637	61	9	lower	low	ADJ
app01-10637	61	10	values	value	NOUN
app01-10637	61	11	,	,	PUNCT
app01-10637	61	12	for	for	ADP
app01-10637	61	13	example	example	NOUN
app01-10637	61	14	for	for	ADP
app01-10637	61	15	more	more	ADJ
app01-10637	61	16	than	than	ADP
app01-10637	61	17	0.5	0.5	NUM
app01-10637	61	18	seconds	second	NOUN
app01-10637	61	19	,	,	PUNCT
app01-10637	61	20	indicate	indicate	VERB
app01-10637	61	21	a	a	DET
app01-10637	61	22	closed	closed	ADJ
app01-10637	61	23	eye	eye	NOUN
app01-10637	61	24	.	.	PUNCT
app01-10637	62	1	the	the	DET
app01-10637	62	2	mar	mar	PROPN
app01-10637	62	3	(	(	PUNCT
app01-10637	62	4	mouth	mouth	PROPN
app01-10637	62	5	aspect	aspect	PROPN
app01-10637	62	6	ratio	ratio	NOUN
app01-10637	62	7	)	)	PUNCT
app01-10637	62	8	method	method	NOUN
app01-10637	62	9	works	work	VERB
app01-10637	62	10	on	on	ADP
app01-10637	62	11	the	the	DET
app01-10637	62	12	same	same	ADJ
app01-10637	62	13	principle	principle	NOUN
app01-10637	62	14	,	,	PUNCT
app01-10637	62	15	which	which	PRON
app01-10637	62	16	monitors	monitor	VERB
app01-10637	62	17	the	the	DET
app01-10637	62	18	driver	driver	NOUN
app01-10637	62	19	’s	’s	PART
app01-10637	62	20	mouth	mouth	NOUN
app01-10637	62	21	and	and	CCONJ
app01-10637	62	22	focuses	focus	VERB
app01-10637	62	23	on	on	ADP
app01-10637	62	24	yawning	yawn	VERB
app01-10637	62	25	analysis	analysis	NOUN
app01-10637	62	26	,	,	PUNCT
app01-10637	62	27	one	one	NUM
app01-10637	62	28	of	of	ADP
app01-10637	62	29	the	the	DET
app01-10637	62	30	typical	typical	ADJ
app01-10637	62	31	signs	sign	NOUN
app01-10637	62	32	of	of	ADP
app01-10637	62	33	fatigue	fatigue	NOUN
app01-10637	62	34	.	.	PUNCT
app01-10637	63	1	2.2.3	2.2.3	X
app01-10637	63	2	.	.	X
app01-10637	63	3	machine	machine	NOUN
app01-10637	63	4	learning	learn	VERB
app01-10637	63	5	machine	machine	NOUN
app01-10637	63	6	learning	learning	NOUN
app01-10637	63	7	is	be	AUX
app01-10637	63	8	another	another	DET
app01-10637	63	9	frequently	frequently	ADV
app01-10637	63	10	used	use	VERB
app01-10637	63	11	option	option	NOUN
app01-10637	63	12	for	for	ADP
app01-10637	63	13	driver	driver	NOUN
app01-10637	63	14	state	state	NOUN
app01-10637	63	15	recognition	recognition	NOUN
app01-10637	63	16	.	.	PUNCT
app01-10637	64	1	the	the	DET
app01-10637	64	2	principle	principle	NOUN
app01-10637	64	3	is	be	AUX
app01-10637	64	4	a	a	DET
app01-10637	64	5	model	model	NOUN
app01-10637	64	6	that	that	PRON
app01-10637	64	7	is	be	AUX
app01-10637	64	8	trained	train	VERB
app01-10637	64	9	on	on	ADP
app01-10637	64	10	a	a	DET
app01-10637	64	11	set	set	NOUN
app01-10637	64	12	of	of	ADP
app01-10637	64	13	historical	historical	ADJ
app01-10637	64	14	datasets	dataset	NOUN
app01-10637	64	15	to	to	PART
app01-10637	64	16	determine	determine	VERB
app01-10637	64	17	desired	desire	VERB
app01-10637	64	18	states	state	NOUN
app01-10637	64	19	based	base	VERB
app01-10637	64	20	on	on	ADP
app01-10637	64	21	more	more	ADJ
app01-10637	64	22	complex	complex	ADJ
app01-10637	64	23	patterns	pattern	NOUN
app01-10637	64	24	of	of	ADP
app01-10637	64	25	behaviour	behaviour	NOUN
app01-10637	64	26	.	.	PUNCT
app01-10637	65	1	general	general	ADJ
app01-10637	65	2	procedure	procedure	NOUN
app01-10637	65	3	for	for	ADP
app01-10637	65	4	use	use	NOUN
app01-10637	65	5	:	:	PUNCT
app01-10637	65	6	(	(	PUNCT
app01-10637	65	7	1	1	NUM
app01-10637	65	8	.	.	PUNCT
app01-10637	65	9	)	)	PUNCT
app01-10637	65	10	data	datum	NOUN
app01-10637	65	11	collection	collection	NOUN
app01-10637	65	12	:	:	PUNCT
app01-10637	65	13	machine	machine	NOUN
app01-10637	65	14	learning	learning	NOUN
app01-10637	65	15	models	model	NOUN
app01-10637	65	16	are	be	AUX
app01-10637	65	17	dependent	dependent	ADJ
app01-10637	65	18	on	on	ADP
app01-10637	65	19	quality	quality	NOUN
app01-10637	65	20	and	and	CCONJ
app01-10637	65	21	large	large	ADJ
app01-10637	65	22	amounts	amount	NOUN
app01-10637	65	23	of	of	ADP
app01-10637	65	24	data	datum	NOUN
app01-10637	65	25	.	.	PUNCT
app01-10637	66	1	this	this	DET
app01-10637	66	2	data	datum	NOUN
app01-10637	66	3	can	can	AUX
app01-10637	66	4	be	be	AUX
app01-10637	66	5	obtained	obtain	VERB
app01-10637	66	6	,	,	PUNCT
app01-10637	66	7	for	for	ADP
app01-10637	66	8	example	example	NOUN
app01-10637	66	9	,	,	PUNCT
app01-10637	66	10	from	from	ADP
app01-10637	66	11	a	a	DET
app01-10637	66	12	camera	camera	NOUN
app01-10637	66	13	that	that	PRON
app01-10637	66	14	captures	capture	VERB
app01-10637	66	15	a	a	DET
app01-10637	66	16	face	face	NOUN
app01-10637	66	17	and	and	CCONJ
app01-10637	66	18	registers	register	VERB
app01-10637	66	19	visual	visual	ADJ
app01-10637	66	20	signs	sign	NOUN
app01-10637	66	21	of	of	ADP
app01-10637	66	22	drowsiness	drowsiness	NOUN
app01-10637	66	23	.	.	PUNCT
app01-10637	67	1	it	it	PRON
app01-10637	67	2	can	can	AUX
app01-10637	67	3	also	also	ADV
app01-10637	67	4	be	be	AUX
app01-10637	67	5	various	various	ADJ
app01-10637	67	6	sensors	sensor	NOUN
app01-10637	67	7	that	that	PRON
app01-10637	67	8	monitor	monitor	VERB
app01-10637	67	9	heart	heart	NOUN
app01-10637	67	10	rate	rate	NOUN
app01-10637	67	11	,	,	PUNCT
app01-10637	67	12	head	head	NOUN
app01-10637	67	13	movements	movement	NOUN
app01-10637	67	14	or	or	CCONJ
app01-10637	67	15	skin	skin	NOUN
app01-10637	67	16	resistance	resistance	NOUN
app01-10637	67	17	.	.	PUNCT
app01-10637	68	1	in	in	ADP
app01-10637	68	2	general	general	ADJ
app01-10637	68	3	,	,	PUNCT
app01-10637	68	4	the	the	DET
app01-10637	68	5	driver	driver	NOUN
app01-10637	68	6	’s	’s	PART
app01-10637	68	7	behaviour	behaviour	NOUN
app01-10637	68	8	,	,	PUNCT
app01-10637	68	9	reaction	reaction	NOUN
app01-10637	68	10	time	time	NOUN
app01-10637	68	11	,	,	PUNCT
app01-10637	68	12	accuracy	accuracy	NOUN
app01-10637	68	13	and	and	CCONJ
app01-10637	68	14	errors	error	NOUN
app01-10637	68	15	in	in	ADP
app01-10637	68	16	performing	perform	VERB
app01-10637	68	17	tasks	task	NOUN
app01-10637	68	18	are	be	AUX
app01-10637	68	19	then	then	ADV
app01-10637	68	20	monitored	monitor	VERB
app01-10637	68	21	.	.	PUNCT
app01-10637	69	1	(	(	PUNCT
app01-10637	69	2	2	2	NUM
app01-10637	69	3	.	.	NUM
app01-10637	69	4	)	)	PUNCT
app01-10637	69	5	data	datum	NOUN
app01-10637	69	6	processing	processing	NOUN
app01-10637	69	7	:	:	PUNCT
app01-10637	69	8	the	the	DET
app01-10637	69	9	data	datum	NOUN
app01-10637	69	10	collected	collect	VERB
app01-10637	69	11	often	often	ADV
app01-10637	69	12	contains	contain	VERB
app01-10637	69	13	noise	noise	NOUN
app01-10637	69	14	and	and	CCONJ
app01-10637	69	15	unnecessary	unnecessary	ADJ
app01-10637	69	16	information	information	NOUN
app01-10637	69	17	.	.	PUNCT
app01-10637	70	1	the	the	DET
app01-10637	70	2	data	datum	NOUN
app01-10637	70	3	therefore	therefore	ADV
app01-10637	70	4	needs	need	VERB
app01-10637	70	5	to	to	PART
app01-10637	70	6	be	be	AUX
app01-10637	70	7	filtered	filter	VERB
app01-10637	70	8	and	and	CCONJ
app01-10637	70	9	normalised	normalise	VERB
app01-10637	70	10	.	.	PUNCT
app01-10637	71	1	then	then	ADV
app01-10637	71	2	,	,	PUNCT
app01-10637	71	3	key	key	ADJ
app01-10637	71	4	signs	sign	NOUN
app01-10637	71	5	are	be	AUX
app01-10637	71	6	extracted	extract	VERB
app01-10637	71	7	from	from	ADP
app01-10637	71	8	the	the	DET
app01-10637	71	9	data	datum	NOUN
app01-10637	71	10	,	,	PUNCT
app01-10637	71	11	which	which	PRON
app01-10637	71	12	may	may	AUX
app01-10637	71	13	be	be	AUX
app01-10637	71	14	,	,	PUNCT
app01-10637	71	15	for	for	ADP
app01-10637	71	16	example	example	NOUN
app01-10637	71	17	,	,	PUNCT
app01-10637	71	18	head	head	NOUN
app01-10637	71	19	drops	drop	NOUN
app01-10637	71	20	,	,	PUNCT
app01-10637	71	21	eye	eye	NOUN
app01-10637	71	22	closure	closure	NOUN
app01-10637	71	23	,	,	PUNCT
app01-10637	71	24	etc	etc	X
app01-10637	71	25	.	.	X
app01-10637	72	1	this	this	DET
app01-10637	72	2	data	datum	NOUN
app01-10637	72	3	can	can	AUX
app01-10637	72	4	then	then	ADV
app01-10637	72	5	be	be	AUX
app01-10637	72	6	used	use	VERB
app01-10637	72	7	to	to	PART
app01-10637	72	8	train	train	VERB
app01-10637	72	9	the	the	DET
app01-10637	72	10	model	model	NOUN
app01-10637	72	11	and	and	CCONJ
app01-10637	72	12	to	to	PART
app01-10637	72	13	test	test	VERB
app01-10637	72	14	the	the	DET
app01-10637	72	15	accuracy	accuracy	NOUN
app01-10637	72	16	of	of	ADP
app01-10637	72	17	prediction	prediction	NOUN
app01-10637	72	18	and	and	CCONJ
app01-10637	72	19	detection	detection	NOUN
app01-10637	72	20	.	.	PUNCT
app01-10637	73	1	(	(	PUNCT
app01-10637	73	2	3	3	NUM
app01-10637	73	3	.	.	PUNCT
app01-10637	73	4	)	)	PUNCT
app01-10637	73	5	model	model	NOUN
app01-10637	73	6	training	training	NOUN
app01-10637	73	7	:	:	PUNCT
app01-10637	73	8	the	the	DET
app01-10637	73	9	model	model	NOUN
app01-10637	73	10	is	be	AUX
app01-10637	73	11	trained	train	VERB
app01-10637	73	12	on	on	ADP
app01-10637	73	13	the	the	DET
app01-10637	73	14	previously	previously	ADV
app01-10637	73	15	mentioned	mention	VERB
app01-10637	73	16	processed	process	VERB
app01-10637	73	17	data	datum	NOUN
app01-10637	73	18	,	,	PUNCT
app01-10637	73	19	where	where	SCONJ
app01-10637	73	20	the	the	DET
app01-10637	73	21	desired	desire	VERB
app01-10637	73	22	states	state	NOUN
app01-10637	73	23	(	(	PUNCT
app01-10637	73	24	“	"	PUNCT
app01-10637	73	25	sleepy	sleepy	ADJ
app01-10637	73	26	”	"	PUNCT
app01-10637	73	27	,	,	PUNCT
app01-10637	73	28	“	"	PUNCT
app01-10637	73	29	tired	tired	ADJ
app01-10637	73	30	”	"	PUNCT
app01-10637	73	31	,	,	PUNCT
app01-10637	73	32	.	.	PUNCT
app01-10637	73	33	.	.	PUNCT
app01-10637	73	34	.	.	PUNCT
app01-10637	73	35	)	)	PUNCT
app01-10637	73	36	have	have	AUX
app01-10637	73	37	already	already	ADV
app01-10637	73	38	been	be	AUX
app01-10637	73	39	labelled	label	VERB
app01-10637	73	40	.	.	PUNCT
app01-10637	74	1	it	it	PRON
app01-10637	74	2	then	then	ADV
app01-10637	74	3	uses	use	VERB
app01-10637	74	4	various	various	ADJ
app01-10637	74	5	algorithms	algorithm	NOUN
app01-10637	74	6	to	to	PART
app01-10637	74	7	partition	partition	VERB
app01-10637	74	8	the	the	DET
app01-10637	74	9	data	datum	NOUN
app01-10637	74	10	,	,	PUNCT
app01-10637	74	11	such	such	ADJ
app01-10637	74	12	as	as	ADP
app01-10637	74	13	classifiers	classifier	NOUN
app01-10637	74	14	(	(	PUNCT
app01-10637	74	15	support	support	NOUN
app01-10637	74	16	vector	vector	NOUN
app01-10637	74	17	machine	machine	NOUN
app01-10637	74	18	or	or	CCONJ
app01-10637	74	19	k	k	NOUN
app01-10637	74	20	-	-	PUNCT
app01-10637	74	21	nearest	near	ADJ
app01-10637	74	22	neighbors	neighbor	NOUN
app01-10637	74	23	)	)	PUNCT
app01-10637	74	24	or	or	CCONJ
app01-10637	74	25	deep	deep	ADJ
app01-10637	74	26	learning	learning	NOUN
app01-10637	74	27	(	(	PUNCT
app01-10637	74	28	neural	neural	ADJ
app01-10637	74	29	networks	network	NOUN
app01-10637	74	30	)	)	PUNCT
app01-10637	74	31	.	.	PUNCT
app01-10637	75	1	(	(	PUNCT
app01-10637	75	2	4	4	NUM
app01-10637	75	3	.	.	NUM
app01-10637	75	4	)	)	PUNCT
app01-10637	75	5	prediction	prediction	NOUN
app01-10637	75	6	and	and	CCONJ
app01-10637	75	7	detection	detection	NOUN
app01-10637	75	8	:	:	PUNCT
app01-10637	75	9	once	once	SCONJ
app01-10637	75	10	the	the	DET
app01-10637	75	11	model	model	NOUN
app01-10637	75	12	is	be	AUX
app01-10637	75	13	trained	train	VERB
app01-10637	75	14	,	,	PUNCT
app01-10637	75	15	it	it	PRON
app01-10637	75	16	can	can	AUX
app01-10637	75	17	be	be	AUX
app01-10637	75	18	used	use	VERB
app01-10637	75	19	to	to	PART
app01-10637	75	20	monitor	monitor	VERB
app01-10637	75	21	the	the	DET
app01-10637	75	22	actual	actual	ADJ
app01-10637	75	23	data	datum	NOUN
app01-10637	75	24	in	in	ADP
app01-10637	75	25	real	real	ADJ
app01-10637	75	26	time	time	NOUN
app01-10637	75	27	.	.	PUNCT
app01-10637	76	1	again	again	ADV
app01-10637	76	2	,	,	PUNCT
app01-10637	76	3	already	already	ADV
app01-10637	76	4	processed	process	VERB
app01-10637	76	5	data	datum	NOUN
app01-10637	76	6	(	(	PUNCT
app01-10637	76	7	different	different	ADJ
app01-10637	76	8	from	from	ADP
app01-10637	76	9	the	the	DET
app01-10637	76	10	data	datum	NOUN
app01-10637	76	11	on	on	ADP
app01-10637	76	12	which	which	PRON
app01-10637	76	13	the	the	DET
app01-10637	76	14	model	model	NOUN
app01-10637	76	15	was	be	AUX
app01-10637	76	16	trained	train	VERB
app01-10637	76	17	)	)	PUNCT
app01-10637	76	18	is	be	AUX
app01-10637	76	19	then	then	ADV
app01-10637	76	20	used	use	VERB
app01-10637	76	21	to	to	PART
app01-10637	76	22	determine	determine	VERB
app01-10637	76	23	the	the	DET
app01-10637	76	24	accuracy	accuracy	NOUN
app01-10637	76	25	of	of	ADP
app01-10637	76	26	the	the	DET
app01-10637	76	27	model	model	NOUN
app01-10637	76	28	,	,	PUNCT
app01-10637	76	29	where	where	SCONJ
app01-10637	76	30	the	the	DET
app01-10637	76	31	model	model	NOUN
app01-10637	76	32	results	result	NOUN
app01-10637	76	33	are	be	AUX
app01-10637	76	34	compared	compare	VERB
app01-10637	76	35	to	to	ADP
app01-10637	76	36	the	the	DET
app01-10637	76	37	data	datum	NOUN
app01-10637	76	38	processing	processing	NOUN
app01-10637	76	39	results	result	NOUN
app01-10637	76	40	.	.	PUNCT
app01-10637	77	1	2.2.4	2.2.4	X
app01-10637	77	2	.	.	X
app01-10637	77	3	other	other	ADJ
app01-10637	77	4	methods	method	NOUN
app01-10637	77	5	there	there	PRON
app01-10637	77	6	are	be	VERB
app01-10637	77	7	many	many	ADJ
app01-10637	77	8	other	other	ADJ
app01-10637	77	9	methods	method	NOUN
app01-10637	77	10	that	that	PRON
app01-10637	77	11	are	be	AUX
app01-10637	77	12	used	use	VERB
app01-10637	77	13	to	to	PART
app01-10637	77	14	detect	detect	VERB
app01-10637	77	15	driver	driver	NOUN
app01-10637	77	16	fatigue	fatigue	NOUN
app01-10637	77	17	and	and	CCONJ
app01-10637	77	18	distraction	distraction	NOUN
app01-10637	77	19	.	.	PUNCT
app01-10637	78	1	however	however	ADV
app01-10637	78	2	,	,	PUNCT
app01-10637	78	3	they	they	PRON
app01-10637	78	4	often	often	ADV
app01-10637	78	5	cause	cause	VERB
app01-10637	78	6	discomfort	discomfort	NOUN
app01-10637	78	7	(	(	PUNCT
app01-10637	78	8	invasive	invasive	ADJ
app01-10637	78	9	methods	method	NOUN
app01-10637	78	10	such	such	ADJ
app01-10637	78	11	as	as	ADP
app01-10637	78	12	eeg	eeg	NOUN
app01-10637	78	13	)	)	PUNCT
app01-10637	78	14	or	or	CCONJ
app01-10637	78	15	are	be	AUX
app01-10637	78	16	not	not	PART
app01-10637	78	17	accurate	accurate	ADJ
app01-10637	78	18	enough	enough	ADV
app01-10637	78	19	compared	compare	VERB
app01-10637	78	20	to	to	ADP
app01-10637	78	21	the	the	DET
app01-10637	78	22	methods	method	NOUN
app01-10637	78	23	already	already	ADV
app01-10637	78	24	mentioned	mention	VERB
app01-10637	78	25	in	in	ADP
app01-10637	78	26	this	this	DET
app01-10637	78	27	article	article	NOUN
app01-10637	78	28	.	.	PUNCT
app01-10637	79	1	still	still	ADV
app01-10637	79	2	,	,	PUNCT
app01-10637	79	3	it	it	PRON
app01-10637	79	4	is	be	AUX
app01-10637	79	5	a	a	DET
app01-10637	79	6	good	good	ADJ
app01-10637	79	7	idea	idea	NOUN
app01-10637	79	8	to	to	PART
app01-10637	79	9	use	use	VERB
app01-10637	79	10	these	these	DET
app01-10637	79	11	methods	method	NOUN
app01-10637	79	12	to	to	PART
app01-10637	79	13	obtain	obtain	VERB
app01-10637	79	14	additional	additional	ADJ
app01-10637	79	15	data	datum	NOUN
app01-10637	79	16	that	that	PRON
app01-10637	79	17	may	may	AUX
app01-10637	79	18	indicate	indicate	VERB
app01-10637	79	19	,	,	PUNCT
app01-10637	79	20	driver	driver	NOUN
app01-10637	79	21	fatigue	fatigue	NOUN
app01-10637	79	22	.	.	PUNCT
app01-10637	80	1	different	different	ADJ
app01-10637	80	2	correlations	correlation	NOUN
app01-10637	80	3	between	between	ADP
app01-10637	80	4	the	the	DET
app01-10637	80	5	signals	signal	NOUN
app01-10637	80	6	of	of	ADP
app01-10637	80	7	the	the	DET
app01-10637	80	8	different	different	ADJ
app01-10637	80	9	methods	method	NOUN
app01-10637	80	10	support	support	VERB
app01-10637	80	11	the	the	DET
app01-10637	80	12	recognition	recognition	NOUN
app01-10637	80	13	of	of	ADP
app01-10637	80	14	fatigue	fatigue	NOUN
app01-10637	80	15	and	and	CCONJ
app01-10637	80	16	attention	attention	NOUN
app01-10637	80	17	.	.	PUNCT
app01-10637	81	1	these	these	DET
app01-10637	81	2	methods	method	NOUN
app01-10637	81	3	can	can	AUX
app01-10637	81	4	focus	focus	VERB
app01-10637	81	5	on	on	ADP
app01-10637	81	6	heart	heart	NOUN
app01-10637	81	7	or	or	CCONJ
app01-10637	81	8	breathing	breathing	NOUN
app01-10637	81	9	rate	rate	NOUN
app01-10637	81	10	,	,	PUNCT
app01-10637	81	11	as	as	ADV
app01-10637	81	12	well	well	ADV
app01-10637	81	13	as	as	ADP
app01-10637	81	14	depth	depth	NOUN
app01-10637	81	15	of	of	ADP
app01-10637	81	16	breathing	breathing	NOUN
app01-10637	81	17	.	.	PUNCT
app01-10637	82	1	as	as	SCONJ
app01-10637	82	2	driver	driver	NOUN
app01-10637	82	3	fatigue	fatigue	NOUN
app01-10637	82	4	increases	increase	NOUN
app01-10637	82	5	,	,	PUNCT
app01-10637	82	6	the	the	DET
app01-10637	82	7	51	51	NUM
app01-10637	82	8	filip	filip	NOUN
app01-10637	82	9	kotas	kota	NOUN
app01-10637	82	10	,	,	PUNCT
app01-10637	82	11	jan	jan	PROPN
app01-10637	82	12	leistner	leistner	PROPN
app01-10637	82	13	acta	acta	PROPN
app01-10637	82	14	polytechnica	polytechnica	PROPN
app01-10637	82	15	ctu	ctu	PROPN
app01-10637	82	16	proceedings	proceeding	NOUN
app01-10637	82	17	heart	heart	NOUN
app01-10637	82	18	rate	rate	NOUN
app01-10637	82	19	typically	typically	ADV
app01-10637	82	20	decreases	decrease	VERB
app01-10637	82	21	,	,	PUNCT
app01-10637	82	22	breathing	breathing	NOUN
app01-10637	82	23	becomes	become	VERB
app01-10637	82	24	shallow	shallow	ADJ
app01-10637	82	25	,	,	PUNCT
app01-10637	82	26	and	and	CCONJ
app01-10637	82	27	the	the	DET
app01-10637	82	28	breathing	breathing	NOUN
app01-10637	82	29	rate	rate	NOUN
app01-10637	82	30	decreases	decrease	NOUN
app01-10637	82	31	.	.	PUNCT
app01-10637	83	1	fatigue	fatigue	NOUN
app01-10637	83	2	can	can	AUX
app01-10637	83	3	also	also	ADV
app01-10637	83	4	be	be	AUX
app01-10637	83	5	determined	determine	VERB
app01-10637	83	6	by	by	ADP
app01-10637	83	7	monitoring	monitor	VERB
app01-10637	83	8	facial	facial	ADJ
app01-10637	83	9	temperature	temperature	NOUN
app01-10637	83	10	with	with	ADP
app01-10637	83	11	an	an	DET
app01-10637	83	12	infrared	infrared	ADJ
app01-10637	83	13	camera	camera	NOUN
app01-10637	83	14	,	,	PUNCT
app01-10637	83	15	where	where	SCONJ
app01-10637	83	16	a	a	DET
app01-10637	83	17	drop	drop	NOUN
app01-10637	83	18	in	in	ADP
app01-10637	83	19	temperature	temperature	NOUN
app01-10637	83	20	,	,	PUNCT
app01-10637	83	21	particularly	particularly	ADV
app01-10637	83	22	around	around	ADP
app01-10637	83	23	the	the	DET
app01-10637	83	24	eyes	eye	NOUN
app01-10637	83	25	,	,	PUNCT
app01-10637	83	26	can	can	AUX
app01-10637	83	27	indicate	indicate	VERB
app01-10637	83	28	drowsiness	drowsiness	NOUN
app01-10637	83	29	and	and	CCONJ
app01-10637	83	30	fatigue	fatigue	NOUN
app01-10637	83	31	.	.	PUNCT
app01-10637	84	1	all	all	PRON
app01-10637	84	2	of	of	ADP
app01-10637	84	3	these	these	DET
app01-10637	84	4	signals	signal	NOUN
app01-10637	84	5	can	can	AUX
app01-10637	84	6	be	be	AUX
app01-10637	84	7	measured	measure	VERB
app01-10637	84	8	and	and	CCONJ
app01-10637	84	9	may	may	AUX
app01-10637	84	10	indicate	indicate	VERB
app01-10637	84	11	fatigue	fatigue	NOUN
app01-10637	84	12	or	or	CCONJ
app01-10637	84	13	drowsiness	drowsiness	NOUN
app01-10637	84	14	,	,	PUNCT
app01-10637	84	15	but	but	CCONJ
app01-10637	84	16	their	their	PRON
app01-10637	84	17	accuracy	accuracy	NOUN
app01-10637	84	18	is	be	AUX
app01-10637	84	19	usually	usually	ADV
app01-10637	84	20	not	not	PART
app01-10637	84	21	as	as	ADV
app01-10637	84	22	high	high	ADJ
app01-10637	84	23	as	as	SCONJ
app01-10637	84	24	it	it	PRON
app01-10637	84	25	would	would	AUX
app01-10637	84	26	need	need	VERB
app01-10637	84	27	to	to	PART
app01-10637	84	28	be	be	AUX
app01-10637	84	29	.	.	PUNCT
app01-10637	85	1	it	it	PRON
app01-10637	85	2	is	be	AUX
app01-10637	85	3	therefore	therefore	ADV
app01-10637	85	4	a	a	DET
app01-10637	85	5	good	good	ADJ
app01-10637	85	6	idea	idea	NOUN
app01-10637	85	7	to	to	PART
app01-10637	85	8	use	use	VERB
app01-10637	85	9	them	they	PRON
app01-10637	85	10	in	in	ADP
app01-10637	85	11	combination	combination	NOUN
app01-10637	85	12	with	with	ADP
app01-10637	85	13	more	more	ADV
app01-10637	85	14	accurate	accurate	ADJ
app01-10637	85	15	methods	method	NOUN
app01-10637	85	16	and	and	CCONJ
app01-10637	85	17	then	then	ADV
app01-10637	85	18	look	look	VERB
app01-10637	85	19	for	for	ADP
app01-10637	85	20	correlations	correlation	NOUN
app01-10637	85	21	between	between	ADP
app01-10637	85	22	the	the	DET
app01-10637	85	23	results	result	NOUN
app01-10637	85	24	of	of	ADP
app01-10637	85	25	each	each	DET
app01-10637	85	26	method	method	NOUN
app01-10637	85	27	.	.	PUNCT
app01-10637	86	1	2.3	2.3	NUM
app01-10637	86	2	.	.	PUNCT
app01-10637	86	3	accuracy	accuracy	NOUN
app01-10637	86	4	of	of	ADP
app01-10637	86	5	commonly	commonly	ADV
app01-10637	86	6	used	use	VERB
app01-10637	86	7	methods	method	NOUN
app01-10637	86	8	in	in	ADP
app01-10637	86	9	a	a	DET
app01-10637	86	10	2012	2012	NUM
app01-10637	86	11	paper	paper	NOUN
app01-10637	87	1	[	[	X
app01-10637	87	2	5	5	NUM
app01-10637	87	3	]	]	PUNCT
app01-10637	87	4	,	,	PUNCT
app01-10637	87	5	the	the	DET
app01-10637	87	6	authors	author	NOUN
app01-10637	87	7	compared	compare	VERB
app01-10637	87	8	several	several	ADJ
app01-10637	87	9	methods	method	NOUN
app01-10637	87	10	to	to	PART
app01-10637	87	11	determine	determine	VERB
app01-10637	87	12	fatigue	fatigue	NOUN
app01-10637	87	13	.	.	PUNCT
app01-10637	88	1	the	the	DET
app01-10637	88	2	experiment	experiment	NOUN
app01-10637	88	3	was	be	AUX
app01-10637	88	4	conducted	conduct	VERB
app01-10637	88	5	over	over	ADP
app01-10637	88	6	several	several	ADJ
app01-10637	88	7	days	day	NOUN
app01-10637	88	8	,	,	PUNCT
app01-10637	88	9	with	with	ADP
app01-10637	88	10	test	test	NOUN
app01-10637	88	11	subjects	subject	NOUN
app01-10637	88	12	being	be	AUX
app01-10637	88	13	tested	test	VERB
app01-10637	88	14	every	every	DET
app01-10637	88	15	two	two	NUM
app01-10637	88	16	hours	hour	NOUN
app01-10637	88	17	.	.	PUNCT
app01-10637	89	1	testing	testing	NOUN
app01-10637	89	2	consisted	consist	VERB
app01-10637	89	3	of	of	ADP
app01-10637	89	4	completing	complete	VERB
app01-10637	89	5	a	a	DET
app01-10637	89	6	10	10	NUM
app01-10637	89	7	-	-	PUNCT
app01-10637	89	8	minute	minute	NOUN
app01-10637	89	9	pvt	pvt	PROPN
app01-10637	89	10	(	(	PUNCT
app01-10637	89	11	psychomotor	psychomotor	NOUN
app01-10637	89	12	vigilance	vigilance	PROPN
app01-10637	89	13	task	task	PROPN
app01-10637	89	14	)	)	PUNCT
app01-10637	89	15	test	test	NOUN
app01-10637	89	16	,	,	PUNCT
app01-10637	89	17	during	during	ADP
app01-10637	89	18	which	which	PRON
app01-10637	89	19	eeg	eeg	NOUN
app01-10637	89	20	signals	signal	NOUN
app01-10637	89	21	,	,	PUNCT
app01-10637	89	22	rr	rr	NOUN
app01-10637	89	23	interval	interval	NOUN
app01-10637	89	24	(	(	PUNCT
app01-10637	89	25	time	time	NOUN
app01-10637	89	26	between	between	ADP
app01-10637	89	27	consecutive	consecutive	ADJ
app01-10637	89	28	heartbeats	heartbeat	NOUN
app01-10637	89	29	)	)	PUNCT
app01-10637	89	30	and	and	CCONJ
app01-10637	89	31	fatigue	fatigue	NOUN
app01-10637	89	32	were	be	AUX
app01-10637	89	33	measured	measure	VERB
app01-10637	89	34	simultaneously	simultaneously	ADV
app01-10637	89	35	using	use	VERB
app01-10637	89	36	the	the	DET
app01-10637	89	37	perclos	perclo	NOUN
app01-10637	89	38	method	method	NOUN
app01-10637	89	39	.	.	PUNCT
app01-10637	90	1	at	at	ADP
app01-10637	90	2	the	the	DET
app01-10637	90	3	same	same	ADJ
app01-10637	90	4	time	time	NOUN
app01-10637	90	5	,	,	PUNCT
app01-10637	90	6	subjects	subject	NOUN
app01-10637	90	7	completed	complete	VERB
app01-10637	90	8	a	a	DET
app01-10637	90	9	questionnaire	questionnaire	NOUN
app01-10637	90	10	that	that	PRON
app01-10637	90	11	determined	determine	VERB
app01-10637	90	12	their	their	PRON
app01-10637	90	13	subjective	subjective	ADJ
app01-10637	90	14	feeling	feeling	NOUN
app01-10637	90	15	of	of	ADP
app01-10637	90	16	fatigue	fatigue	NOUN
app01-10637	90	17	on	on	ADP
app01-10637	90	18	the	the	DET
app01-10637	90	19	kss	kss	PROPN
app01-10637	90	20	(	(	PUNCT
app01-10637	90	21	karolina	karolina	PROPN
app01-10637	90	22	sleepiness	sleepiness	PROPN
app01-10637	90	23	scale	scale	PROPN
app01-10637	90	24	)	)	PUNCT
app01-10637	90	25	.	.	PUNCT
app01-10637	91	1	subjective	subjective	ADJ
app01-10637	91	2	feeling	feeling	NOUN
app01-10637	91	3	of	of	ADP
app01-10637	91	4	fatigue	fatigue	NOUN
app01-10637	91	5	graded	grade	VERB
app01-10637	91	6	around	around	ADV
app01-10637	91	7	4	4	NUM
app01-10637	91	8	to	to	PART
app01-10637	91	9	10	10	NUM
app01-10637	91	10	a.m.	a.m.	NOUN
app01-10637	91	11	in	in	ADP
app01-10637	91	12	terms	term	NOUN
app01-10637	91	13	of	of	ADP
app01-10637	91	14	accuracy	accuracy	NOUN
app01-10637	91	15	of	of	ADP
app01-10637	91	16	the	the	DET
app01-10637	91	17	methods	method	NOUN
app01-10637	91	18	,	,	PUNCT
app01-10637	91	19	the	the	DET
app01-10637	91	20	perclos	perclo	NOUN
app01-10637	91	21	method	method	NOUN
app01-10637	91	22	showed	show	VERB
app01-10637	91	23	the	the	DET
app01-10637	91	24	best	good	ADJ
app01-10637	91	25	results	result	NOUN
app01-10637	91	26	,	,	PUNCT
app01-10637	91	27	achieving	achieve	VERB
app01-10637	91	28	an	an	DET
app01-10637	91	29	accuracy	accuracy	NOUN
app01-10637	91	30	of	of	ADP
app01-10637	91	31	around	around	ADV
app01-10637	91	32	90	90	NUM
app01-10637	91	33	%	%	NOUN
app01-10637	91	34	.	.	PUNCT
app01-10637	92	1	the	the	DET
app01-10637	92	2	rr	rr	PROPN
app01-10637	92	3	interval	interval	NOUN
app01-10637	92	4	achieved	achieve	VERB
app01-10637	92	5	an	an	DET
app01-10637	92	6	accuracy	accuracy	NOUN
app01-10637	92	7	of	of	ADP
app01-10637	92	8	around	around	ADP
app01-10637	92	9	86	86	NUM
app01-10637	92	10	%	%	NOUN
app01-10637	92	11	and	and	CCONJ
app01-10637	92	12	the	the	DET
app01-10637	92	13	accuracy	accuracy	NOUN
app01-10637	92	14	of	of	ADP
app01-10637	92	15	the	the	DET
app01-10637	92	16	delta	delta	NOUN
app01-10637	92	17	power	power	NOUN
app01-10637	92	18	eeg	eeg	PROPN
app01-10637	92	19	signal	signal	NOUN
app01-10637	92	20	was	be	AUX
app01-10637	92	21	determined	determine	VERB
app01-10637	92	22	to	to	PART
app01-10637	92	23	be	be	AUX
app01-10637	92	24	around	around	ADV
app01-10637	92	25	82	82	NUM
app01-10637	92	26	%	%	NOUN
app01-10637	92	27	.	.	PUNCT
app01-10637	93	1	to	to	PART
app01-10637	93	2	get	get	VERB
app01-10637	93	3	a	a	DET
app01-10637	93	4	better	well	ADJ
app01-10637	93	5	idea	idea	NOUN
app01-10637	93	6	of	of	ADP
app01-10637	93	7	the	the	DET
app01-10637	93	8	extent	extent	NOUN
app01-10637	93	9	to	to	PART
app01-10637	93	10	which	which	DET
app01-10637	93	11	fatigue	fatigue	NOUN
app01-10637	93	12	and	and	CCONJ
app01-10637	93	13	drowsiness	drowsiness	NOUN
app01-10637	93	14	affect	affect	VERB
app01-10637	93	15	driver	driver	NOUN
app01-10637	93	16	reaction	reaction	NOUN
app01-10637	93	17	time	time	NOUN
app01-10637	93	18	,	,	PUNCT
app01-10637	93	19	in	in	ADP
app01-10637	93	20	[	[	X
app01-10637	93	21	6	6	NUM
app01-10637	93	22	]	]	PUNCT
app01-10637	93	23	the	the	DET
app01-10637	93	24	authors	author	NOUN
app01-10637	93	25	measured	measure	VERB
app01-10637	93	26	reaction	reaction	NOUN
app01-10637	93	27	time	time	NOUN
app01-10637	93	28	in	in	ADP
app01-10637	93	29	two	two	NUM
app01-10637	93	30	age	age	NOUN
app01-10637	93	31	groups	group	NOUN
app01-10637	93	32	.	.	PUNCT
app01-10637	94	1	the	the	DET
app01-10637	94	2	first	first	ADJ
app01-10637	94	3	group	group	NOUN
app01-10637	94	4	was	be	AUX
app01-10637	94	5	around	around	ADV
app01-10637	94	6	20	20	NUM
app01-10637	94	7	years	year	NOUN
app01-10637	94	8	old	old	ADJ
app01-10637	94	9	and	and	CCONJ
app01-10637	94	10	the	the	DET
app01-10637	94	11	second	second	ADJ
app01-10637	94	12	around	around	ADP
app01-10637	94	13	50	50	NUM
app01-10637	94	14	years	year	NOUN
app01-10637	94	15	old	old	ADJ
app01-10637	94	16	.	.	PUNCT
app01-10637	95	1	the	the	DET
app01-10637	95	2	difference	difference	NOUN
app01-10637	95	3	in	in	ADP
app01-10637	95	4	reaction	reaction	NOUN
app01-10637	95	5	time	time	NOUN
app01-10637	95	6	between	between	ADP
app01-10637	95	7	the	the	DET
app01-10637	95	8	first	first	ADJ
app01-10637	95	9	and	and	CCONJ
app01-10637	95	10	second	second	ADJ
app01-10637	95	11	groups	group	NOUN
app01-10637	95	12	was	be	AUX
app01-10637	95	13	on	on	ADP
app01-10637	95	14	average	average	ADJ
app01-10637	95	15	0.04	0.04	NUM
app01-10637	95	16	seconds	second	NOUN
app01-10637	95	17	.	.	PUNCT
app01-10637	96	1	verbal	verbal	ADJ
app01-10637	96	2	ratings	rating	NOUN
app01-10637	96	3	of	of	ADP
app01-10637	96	4	levels	level	NOUN
app01-10637	96	5	of	of	ADP
app01-10637	96	6	drowsiness	drowsiness	NOUN
app01-10637	96	7	and	and	CCONJ
app01-10637	96	8	fatigue	fatigue	NOUN
app01-10637	96	9	are	be	AUX
app01-10637	96	10	shown	show	VERB
app01-10637	96	11	in	in	ADP
app01-10637	96	12	the	the	DET
app01-10637	96	13	table	table	NOUN
app01-10637	96	14	1	1	NUM
app01-10637	96	15	.	.	PUNCT
app01-10637	96	16	dimension	dimension	NOUN
app01-10637	96	17	level	level	NOUN
app01-10637	96	18	status	status	NOUN
app01-10637	96	19	of	of	ADP
app01-10637	96	20	the	the	DET
app01-10637	96	21	driver	driver	NOUN
app01-10637	96	22	level	level	NOUN
app01-10637	96	23	0	0	NUM
app01-10637	96	24	adequate	adequate	ADJ
app01-10637	96	25	rest	rest	NOUN
app01-10637	96	26	,	,	PUNCT
app01-10637	96	27	short	short	ADJ
app01-10637	96	28	driving	driving	NOUN
app01-10637	96	29	time	time	NOUN
app01-10637	96	30	,	,	PUNCT
app01-10637	96	31	no	no	DET
app01-10637	96	32	fatigue	fatigue	NOUN
app01-10637	96	33	fatigue	fatigue	NOUN
app01-10637	96	34	level	level	NOUN
app01-10637	96	35	1	1	NUM
app01-10637	96	36	driving	drive	VERB
app01-10637	96	37	for	for	ADP
app01-10637	96	38	more	more	ADJ
app01-10637	96	39	than	than	ADP
app01-10637	96	40	2.5	2.5	NUM
app01-10637	96	41	hours	hour	NOUN
app01-10637	96	42	,	,	PUNCT
app01-10637	96	43	obvious	obvious	ADJ
app01-10637	96	44	fatigue	fatigue	NOUN
app01-10637	96	45	level	level	NOUN
app01-10637	96	46	2	2	NUM
app01-10637	96	47	driving	drive	VERB
app01-10637	96	48	for	for	ADP
app01-10637	96	49	more	more	ADJ
app01-10637	96	50	than	than	ADP
app01-10637	96	51	4	4	NUM
app01-10637	96	52	hours	hour	NOUN
app01-10637	96	53	,	,	PUNCT
app01-10637	96	54	very	very	ADV
app01-10637	96	55	tired	tired	ADJ
app01-10637	96	56	level	level	NOUN
app01-10637	96	57	0	0	NUM
app01-10637	96	58	enough	enough	ADJ
app01-10637	96	59	sleep	sleep	NOUN
app01-10637	96	60	,	,	PUNCT
app01-10637	96	61	good	good	ADJ
app01-10637	96	62	energy	energy	NOUN
app01-10637	96	63	,	,	PUNCT
app01-10637	96	64	very	very	ADV
app01-10637	96	65	awake	awake	ADJ
app01-10637	96	66	sleepiness	sleepiness	NOUN
app01-10637	96	67	level	level	NOUN
app01-10637	96	68	1	1	NUM
app01-10637	96	69	feel	feel	VERB
app01-10637	96	70	sleepy	sleepy	ADJ
app01-10637	96	71	and	and	CCONJ
app01-10637	96	72	have	have	VERB
app01-10637	96	73	a	a	DET
app01-10637	96	74	certain	certain	ADJ
app01-10637	96	75	desire	desire	NOUN
app01-10637	96	76	to	to	PART
app01-10637	96	77	sleep	sleep	VERB
app01-10637	96	78	and	and	CCONJ
app01-10637	96	79	rest	rest	NOUN
app01-10637	96	80	level	level	NOUN
app01-10637	96	81	2	2	NUM
app01-10637	96	82	feel	feel	VERB
app01-10637	96	83	very	very	ADV
app01-10637	96	84	sleepy	sleepy	ADJ
app01-10637	96	85	,	,	PUNCT
app01-10637	96	86	especially	especially	ADV
app01-10637	96	87	eager	eager	ADJ
app01-10637	96	88	to	to	PART
app01-10637	96	89	sleep	sleep	VERB
app01-10637	96	90	and	and	CCONJ
app01-10637	96	91	rest	rest	NOUN
app01-10637	96	92	table	table	NOUN
app01-10637	96	93	1	1	NUM
app01-10637	96	94	.	.	PUNCT
app01-10637	97	1	a	a	DET
app01-10637	97	2	verbal	verbal	ADJ
app01-10637	97	3	evaluation	evaluation	NOUN
app01-10637	97	4	of	of	ADP
app01-10637	97	5	different	different	ADJ
app01-10637	97	6	levels	level	NOUN
app01-10637	97	7	of	of	ADP
app01-10637	97	8	fatigue	fatigue	NOUN
app01-10637	97	9	and	and	CCONJ
app01-10637	97	10	sleepiness	sleepiness	NOUN
app01-10637	97	11	.	.	PUNCT
app01-10637	98	1	the	the	DET
app01-10637	98	2	experiment	experiment	NOUN
app01-10637	98	3	was	be	AUX
app01-10637	98	4	conducted	conduct	VERB
app01-10637	98	5	by	by	ADP
app01-10637	98	6	having	have	VERB
app01-10637	98	7	the	the	DET
app01-10637	98	8	system	system	NOUN
app01-10637	98	9	generate	generate	VERB
app01-10637	98	10	a	a	DET
app01-10637	98	11	random	random	ADJ
app01-10637	98	12	interval	interval	NOUN
app01-10637	98	13	,	,	PUNCT
app01-10637	98	14	after	after	ADP
app01-10637	98	15	this	this	DET
app01-10637	98	16	interval	interval	NOUN
app01-10637	98	17	a	a	DET
app01-10637	98	18	simple	simple	ADJ
app01-10637	98	19	command	command	NOUN
app01-10637	98	20	(	(	PUNCT
app01-10637	98	21	e.g.	e.g.	ADV
app01-10637	98	22	,	,	PUNCT
app01-10637	98	23	turn	turn	VERB
app01-10637	98	24	left	left	ADJ
app01-10637	98	25	,	,	PUNCT
app01-10637	98	26	stop	stop	VERB
app01-10637	98	27	,	,	PUNCT
app01-10637	98	28	or	or	CCONJ
app01-10637	98	29	turn	turn	VERB
app01-10637	98	30	right	right	ADV
app01-10637	98	31	)	)	PUNCT
app01-10637	98	32	was	be	AUX
app01-10637	98	33	announced	announce	VERB
app01-10637	98	34	to	to	ADP
app01-10637	98	35	the	the	DET
app01-10637	98	36	driver	driver	NOUN
app01-10637	98	37	,	,	PUNCT
app01-10637	98	38	and	and	CCONJ
app01-10637	98	39	then	then	ADV
app01-10637	98	40	the	the	DET
app01-10637	98	41	reaction	reaction	NOUN
app01-10637	98	42	time	time	NOUN
app01-10637	98	43	was	be	AUX
app01-10637	98	44	measured	measure	VERB
app01-10637	98	45	.	.	PUNCT
app01-10637	99	1	in	in	ADP
app01-10637	99	2	the	the	DET
app01-10637	99	3	figures	figure	NOUN
app01-10637	99	4	2	2	NUM
app01-10637	99	5	and	and	CCONJ
app01-10637	99	6	3	3	NUM
app01-10637	99	7	,	,	PUNCT
app01-10637	99	8	a	a	DET
app01-10637	99	9	reaction	reaction	NOUN
app01-10637	99	10	time	time	NOUN
app01-10637	99	11	comparison	comparison	NOUN
app01-10637	99	12	of	of	ADP
app01-10637	99	13	different	different	ADJ
app01-10637	99	14	levels	level	NOUN
app01-10637	99	15	of	of	ADP
app01-10637	99	16	fatigue	fatigue	NOUN
app01-10637	99	17	and	and	CCONJ
app01-10637	99	18	sleepiness	sleepiness	NOUN
app01-10637	99	19	can	can	AUX
app01-10637	99	20	be	be	AUX
app01-10637	99	21	seen	see	VERB
app01-10637	99	22	.	.	PUNCT
app01-10637	100	1	figure	figure	VERB
app01-10637	100	2	2	2	NUM
app01-10637	100	3	.	.	PUNCT
app01-10637	101	1	how	how	SCONJ
app01-10637	101	2	sleepiness	sleepiness	NOUN
app01-10637	101	3	affects	affect	VERB
app01-10637	101	4	the	the	DET
app01-10637	101	5	driver	driver	NOUN
app01-10637	101	6	’s	’s	PART
app01-10637	101	7	reaction	reaction	NOUN
app01-10637	101	8	time	time	NOUN
app01-10637	101	9	.	.	PUNCT
app01-10637	102	1	based	base	VERB
app01-10637	102	2	on	on	ADP
app01-10637	102	3	data	datum	NOUN
app01-10637	102	4	published	publish	VERB
app01-10637	102	5	by	by	ADP
app01-10637	102	6	[	[	X
app01-10637	102	7	6	6	NUM
app01-10637	102	8	]	]	PUNCT
app01-10637	102	9	.	.	PUNCT
app01-10637	103	1	figure	figure	NOUN
app01-10637	103	2	3	3	NUM
app01-10637	103	3	.	.	PUNCT
app01-10637	104	1	how	how	SCONJ
app01-10637	104	2	fatigue	fatigue	NOUN
app01-10637	104	3	affects	affect	VERB
app01-10637	104	4	the	the	DET
app01-10637	104	5	driver	driver	NOUN
app01-10637	104	6	’s	’s	PART
app01-10637	104	7	reaction	reaction	NOUN
app01-10637	104	8	time	time	NOUN
app01-10637	104	9	.	.	PUNCT
app01-10637	105	1	based	base	VERB
app01-10637	105	2	on	on	ADP
app01-10637	105	3	data	datum	NOUN
app01-10637	105	4	published	publish	VERB
app01-10637	105	5	by	by	ADP
app01-10637	105	6	[	[	X
app01-10637	105	7	6	6	NUM
app01-10637	105	8	]	]	PUNCT
app01-10637	105	9	.	.	PUNCT
app01-10637	106	1	these	these	DET
app01-10637	106	2	results	result	NOUN
app01-10637	106	3	ideally	ideally	ADV
app01-10637	106	4	demonstrate	demonstrate	VERB
app01-10637	106	5	the	the	DET
app01-10637	106	6	effect	effect	NOUN
app01-10637	106	7	of	of	ADP
app01-10637	106	8	fatigue	fatigue	NOUN
app01-10637	106	9	and	and	CCONJ
app01-10637	106	10	drowsiness	drowsiness	NOUN
app01-10637	106	11	on	on	ADP
app01-10637	106	12	driver	driver	NOUN
app01-10637	106	13	reaction	reaction	NOUN
app01-10637	106	14	time	time	NOUN
app01-10637	106	15	.	.	PUNCT
app01-10637	107	1	an	an	DET
app01-10637	107	2	interesting	interesting	ADJ
app01-10637	107	3	approach	approach	NOUN
app01-10637	107	4	to	to	ADP
app01-10637	107	5	measuring	measure	VERB
app01-10637	107	6	fatigue	fatigue	NOUN
app01-10637	107	7	is	be	AUX
app01-10637	107	8	proposed	propose	VERB
app01-10637	107	9	in	in	ADP
app01-10637	107	10	[	[	X
app01-10637	107	11	7	7	NUM
app01-10637	107	12	]	]	PUNCT
app01-10637	107	13	,	,	PUNCT
app01-10637	107	14	where	where	SCONJ
app01-10637	107	15	the	the	DET
app01-10637	107	16	authors	author	NOUN
app01-10637	107	17	detect	detect	VERB
app01-10637	107	18	fatigue	fatigue	NOUN
app01-10637	107	19	by	by	ADP
app01-10637	107	20	tracking	track	VERB
app01-10637	107	21	chest	chest	NOUN
app01-10637	107	22	movement	movement	NOUN
app01-10637	107	23	with	with	ADP
app01-10637	107	24	a	a	DET
app01-10637	107	25	camera	camera	NOUN
app01-10637	107	26	.	.	PUNCT
app01-10637	108	1	the	the	DET
app01-10637	108	2	first	first	ADJ
app01-10637	108	3	phase	phase	NOUN
app01-10637	108	4	consisted	consist	VERB
app01-10637	108	5	of	of	ADP
app01-10637	108	6	laboratory	laboratory	NOUN
app01-10637	108	7	testing	testing	NOUN
app01-10637	108	8	to	to	PART
app01-10637	108	9	find	find	VERB
app01-10637	108	10	the	the	DET
app01-10637	108	11	optimal	optimal	ADJ
app01-10637	108	12	position	position	NOUN
app01-10637	108	13	for	for	ADP
app01-10637	108	14	camera	camera	NOUN
app01-10637	108	15	placement	placement	NOUN
app01-10637	108	16	.	.	PUNCT
app01-10637	109	1	in	in	ADP
app01-10637	109	2	the	the	DET
app01-10637	109	3	second	second	ADJ
app01-10637	109	4	phase	phase	NOUN
app01-10637	109	5	,	,	PUNCT
app01-10637	109	6	they	they	PRON
app01-10637	109	7	already	already	ADV
app01-10637	109	8	measured	measure	VERB
app01-10637	109	9	the	the	DET
app01-10637	109	10	data	datum	NOUN
app01-10637	109	11	in	in	ADP
app01-10637	109	12	a	a	DET
app01-10637	109	13	driving	drive	VERB
app01-10637	109	14	simulator	simulator	NOUN
app01-10637	109	15	,	,	PUNCT
app01-10637	109	16	in	in	ADP
app01-10637	109	17	order	order	NOUN
app01-10637	109	18	to	to	PART
app01-10637	109	19	train	train	VERB
app01-10637	109	20	the	the	DET
app01-10637	109	21	model	model	NOUN
app01-10637	109	22	to	to	PART
app01-10637	109	23	recognize	recognize	VERB
app01-10637	109	24	fatigue	fatigue	NOUN
app01-10637	109	25	.	.	PUNCT
app01-10637	110	1	the	the	DET
app01-10637	110	2	method	method	NOUN
app01-10637	110	3	achieved	achieve	VERB
app01-10637	110	4	90	90	NUM
app01-10637	110	5	%	%	NOUN
app01-10637	110	6	correlation	correlation	NOUN
app01-10637	110	7	of	of	ADP
app01-10637	110	8	results	result	NOUN
app01-10637	110	9	with	with	ADP
app01-10637	110	10	measurements	measurement	NOUN
app01-10637	110	11	from	from	ADP
app01-10637	110	12	a	a	DET
app01-10637	110	13	plethysmography	plethysmography	NOUN
app01-10637	110	14	band	band	NOUN
app01-10637	110	15	(	(	PUNCT
app01-10637	110	16	used	use	VERB
app01-10637	110	17	to	to	PART
app01-10637	110	18	measure	measure	VERB
app01-10637	110	19	changes	change	NOUN
app01-10637	110	20	in	in	ADP
app01-10637	110	21	chest	chest	NOUN
app01-10637	110	22	volume	volume	NOUN
app01-10637	110	23	)	)	PUNCT
app01-10637	110	24	.	.	PUNCT
app01-10637	111	1	during	during	ADP
app01-10637	111	2	the	the	DET
app01-10637	111	3	testing	testing	NOUN
app01-10637	111	4	the	the	DET
app01-10637	111	5	expected	expect	VERB
app01-10637	111	6	premises	premise	NOUN
app01-10637	111	7	were	be	AUX
app01-10637	111	8	confirmed	confirm	VERB
app01-10637	111	9	.	.	PUNCT
app01-10637	112	1	the	the	DET
app01-10637	112	2	loose	loose	ADJ
app01-10637	112	3	clothing	clothing	NOUN
app01-10637	112	4	and	and	CCONJ
app01-10637	112	5	poor	poor	ADJ
app01-10637	112	6	lighting	lighting	NOUN
app01-10637	112	7	brought	bring	VERB
app01-10637	112	8	down	down	ADP
app01-10637	112	9	the	the	DET
app01-10637	112	10	measurement	measurement	NOUN
app01-10637	112	11	accuracy	accuracy	NOUN
app01-10637	112	12	.	.	PUNCT
app01-10637	113	1	the	the	DET
app01-10637	113	2	authors	author	NOUN
app01-10637	113	3	in	in	ADP
app01-10637	113	4	[	[	X
app01-10637	113	5	8	8	NUM
app01-10637	113	6	]	]	PUNCT
app01-10637	113	7	use	use	NOUN
app01-10637	113	8	ear	ear	NOUN
app01-10637	113	9	,	,	PUNCT
app01-10637	113	10	mar	mar	PROPN
app01-10637	113	11	and	and	CCONJ
app01-10637	113	12	hand	hand	NOUN
app01-10637	113	13	gesture	gesture	NOUN
app01-10637	113	14	recognition	recognition	NOUN
app01-10637	113	15	to	to	PART
app01-10637	113	16	determine	determine	VERB
app01-10637	113	17	driver	driver	NOUN
app01-10637	113	18	fatigue	fatigue	NOUN
app01-10637	113	19	.	.	PUNCT
app01-10637	114	1	the	the	DET
app01-10637	114	2	authors	author	NOUN
app01-10637	114	3	encountered	encounter	VERB
app01-10637	114	4	a	a	DET
app01-10637	114	5	problem	problem	NOUN
app01-10637	114	6	where	where	SCONJ
app01-10637	114	7	the	the	DET
app01-10637	114	8	system	system	NOUN
app01-10637	114	9	reported	report	VERB
app01-10637	114	10	a	a	DET
app01-10637	114	11	false	false	ADJ
app01-10637	114	12	positive	positive	ADJ
app01-10637	114	13	when	when	SCONJ
app01-10637	114	14	the	the	DET
app01-10637	114	15	driver	driver	NOUN
app01-10637	114	16	put	put	VERB
app01-10637	114	17	his	his	PRON
app01-10637	114	18	hand	hand	NOUN
app01-10637	114	19	to	to	ADP
app01-10637	114	20	his	his	PRON
app01-10637	114	21	head	head	NOUN
app01-10637	114	22	but	but	CCONJ
app01-10637	114	23	did	do	AUX
app01-10637	114	24	not	not	PART
app01-10637	114	25	cover	cover	VERB
app01-10637	114	26	his	his	PRON
app01-10637	114	27	mouth	mouth	NOUN
app01-10637	114	28	(	(	PUNCT
app01-10637	114	29	a	a	DET
app01-10637	114	30	typical	typical	ADJ
app01-10637	114	31	reaction	reaction	NOUN
app01-10637	114	32	when	when	SCONJ
app01-10637	114	33	yawning	yawn	VERB
app01-10637	114	34	)	)	PUNCT
app01-10637	114	35	.	.	PUNCT
app01-10637	115	1	they	they	PRON
app01-10637	115	2	solved	solve	VERB
app01-10637	115	3	the	the	DET
app01-10637	115	4	problem	problem	NOUN
app01-10637	115	5	by	by	ADP
app01-10637	115	6	additionally	additionally	ADV
app01-10637	115	7	training	train	VERB
app01-10637	115	8	the	the	DET
app01-10637	115	9	model	model	NOUN
app01-10637	115	10	for	for	ADP
app01-10637	115	11	this	this	DET
app01-10637	115	12	particular	particular	ADJ
app01-10637	115	13	situation	situation	NOUN
app01-10637	115	14	and	and	CCONJ
app01-10637	115	15	thus	thus	ADV
app01-10637	115	16	achieved	achieve	VERB
app01-10637	115	17	an	an	DET
app01-10637	115	18	overall	overall	ADJ
app01-10637	115	19	yawning	yawning	NOUN
app01-10637	115	20	recognition	recognition	NOUN
app01-10637	115	21	accuracy	accuracy	NOUN
app01-10637	115	22	of	of	ADP
app01-10637	115	23	92.75	92.75	NUM
app01-10637	115	24	%	%	NOUN
app01-10637	115	25	.	.	PUNCT
app01-10637	116	1	in	in	ADP
app01-10637	116	2	[	[	X
app01-10637	116	3	9	9	NUM
app01-10637	116	4	]	]	PUNCT
app01-10637	116	5	,	,	PUNCT
app01-10637	116	6	the	the	DET
app01-10637	116	7	authors	author	NOUN
app01-10637	116	8	propose	propose	VERB
app01-10637	116	9	a	a	DET
app01-10637	116	10	modification	modification	NOUN
app01-10637	116	11	of	of	ADP
app01-10637	116	12	the	the	DET
app01-10637	116	13	perclos	perclo	NOUN
app01-10637	116	14	method	method	NOUN
app01-10637	116	15	,	,	PUNCT
app01-10637	116	16	to	to	PART
app01-10637	116	17	which	which	PRON
app01-10637	116	18	they	they	PRON
app01-10637	116	19	added	add	VERB
app01-10637	116	20	a	a	DET
app01-10637	116	21	method	method	NOUN
app01-10637	116	22	52	52	NUM
app01-10637	116	23	vol	vol	NOUN
app01-10637	116	24	.	.	PUNCT
app01-10637	117	1	52/2025	52/2025	NUM
app01-10637	117	2	driver	driver	NOUN
app01-10637	117	3	drowsiness	drowsiness	NOUN
app01-10637	117	4	and	and	CCONJ
app01-10637	117	5	fatigue	fatigue	NOUN
app01-10637	117	6	with	with	ADP
app01-10637	117	7	interior	interior	ADJ
app01-10637	117	8	camera	camera	NOUN
app01-10637	117	9	of	of	ADP
app01-10637	117	10	image	image	NOUN
app01-10637	117	11	analysis	analysis	NOUN
app01-10637	117	12	,	,	PUNCT
app01-10637	117	13	edge	edge	NOUN
app01-10637	117	14	detection	detection	NOUN
app01-10637	117	15	,	,	PUNCT
app01-10637	117	16	in	in	ADP
app01-10637	117	17	which	which	PRON
app01-10637	117	18	the	the	DET
app01-10637	117	19	image	image	NOUN
app01-10637	117	20	is	be	AUX
app01-10637	117	21	converted	convert	VERB
app01-10637	117	22	to	to	ADP
app01-10637	117	23	a	a	DET
app01-10637	117	24	greal	greal	NOUN
app01-10637	117	25	-	-	PUNCT
app01-10637	117	26	scale	scale	NOUN
app01-10637	117	27	image	image	NOUN
app01-10637	117	28	and	and	CCONJ
app01-10637	117	29	then	then	ADV
app01-10637	117	30	edge	edge	NOUN
app01-10637	117	31	pixels	pixel	NOUN
app01-10637	117	32	are	be	AUX
app01-10637	117	33	detected	detect	VERB
app01-10637	117	34	.	.	PUNCT
app01-10637	118	1	by	by	ADP
app01-10637	118	2	setting	set	VERB
app01-10637	118	3	the	the	DET
app01-10637	118	4	tresholding	tresholding	NOUN
app01-10637	118	5	of	of	ADP
app01-10637	118	6	the	the	DET
app01-10637	118	7	perclos	perclo	NOUN
app01-10637	118	8	method	method	NOUN
app01-10637	118	9	to	to	ADP
app01-10637	118	10	80	80	NUM
app01-10637	118	11	%	%	NOUN
app01-10637	118	12	,	,	PUNCT
app01-10637	118	13	the	the	DET
app01-10637	118	14	proposed	propose	VERB
app01-10637	118	15	modification	modification	NOUN
app01-10637	118	16	achieved	achieve	VERB
app01-10637	118	17	more	more	ADV
app01-10637	118	18	accurate	accurate	ADJ
app01-10637	118	19	results	result	NOUN
app01-10637	118	20	,	,	PUNCT
app01-10637	118	21	and	and	CCONJ
app01-10637	118	22	in	in	ADP
app01-10637	118	23	addition	addition	NOUN
app01-10637	118	24	,	,	PUNCT
app01-10637	118	25	compared	compare	VERB
app01-10637	118	26	to	to	ADP
app01-10637	118	27	the	the	DET
app01-10637	118	28	rgb	rgb	PROPN
app01-10637	118	29	image	image	NOUN
app01-10637	118	30	,	,	PUNCT
app01-10637	118	31	it	it	PRON
app01-10637	118	32	needs	need	VERB
app01-10637	118	33	1/3	1/3	DET
app01-10637	118	34	memory	memory	NOUN
app01-10637	118	35	.	.	PUNCT
app01-10637	119	1	in	in	ADP
app01-10637	119	2	the	the	DET
app01-10637	119	3	following	follow	VERB
app01-10637	119	4	table	table	NOUN
app01-10637	119	5	2	2	NUM
app01-10637	119	6	an	an	DET
app01-10637	119	7	overview	overview	NOUN
app01-10637	119	8	of	of	ADP
app01-10637	119	9	three	three	NUM
app01-10637	119	10	states	state	NOUN
app01-10637	119	11	can	can	AUX
app01-10637	119	12	be	be	AUX
app01-10637	119	13	seen	see	VERB
app01-10637	119	14	.	.	PUNCT
app01-10637	120	1	eyes	eye	NOUN
app01-10637	120	2	closed	close	VERB
app01-10637	120	3	eyes	eye	NOUN
app01-10637	120	4	open	open	ADJ
app01-10637	120	5	eyes	eye	NOUN
app01-10637	120	6	open	open	VERB
app01-10637	120	7	<	<	X
app01-10637	120	8	50	50	NUM
app01-10637	120	9	%	%	NOUN
app01-10637	120	10	>	>	SYM
app01-10637	120	11	50	50	NUM
app01-10637	120	12	%	%	NOUN
app01-10637	120	13	glasses	glass	NOUN
app01-10637	120	14	84.29	84.29	NUM
app01-10637	120	15	%	%	NOUN
app01-10637	120	16	72.66	72.66	NUM
app01-10637	120	17	%	%	NOUN
app01-10637	120	18	92.67	92.67	NUM
app01-10637	120	19	%	%	NOUN
app01-10637	120	20	no	no	DET
app01-10637	120	21	glasses	glass	NOUN
app01-10637	120	22	86.35	86.35	NUM
app01-10637	120	23	%	%	NOUN
app01-10637	120	24	77.84	77.84	NUM
app01-10637	120	25	%	%	NOUN
app01-10637	120	26	94.36	94.36	NUM
app01-10637	120	27	%	%	NOUN
app01-10637	120	28	table	table	NOUN
app01-10637	120	29	2	2	NUM
app01-10637	120	30	.	.	PUNCT
app01-10637	120	31	performance	performance	NOUN
app01-10637	120	32	of	of	ADP
app01-10637	120	33	perclos	perclo	NOUN
app01-10637	120	34	with	with	ADP
app01-10637	120	35	and	and	CCONJ
app01-10637	120	36	without	without	ADP
app01-10637	120	37	glasses	glass	NOUN
app01-10637	120	38	for	for	ADP
app01-10637	120	39	all	all	DET
app01-10637	120	40	three	three	NUM
app01-10637	120	41	stages	stage	NOUN
app01-10637	120	42	.	.	PUNCT
app01-10637	121	1	the	the	DET
app01-10637	121	2	paper	paper	NOUN
app01-10637	121	3	[	[	X
app01-10637	121	4	10	10	NUM
app01-10637	121	5	]	]	PUNCT
app01-10637	121	6	presents	present	VERB
app01-10637	121	7	the	the	DET
app01-10637	121	8	cascaded	cascade	VERB
app01-10637	121	9	convnet	convnet	NOUN
app01-10637	121	10	framework	framework	NOUN
app01-10637	121	11	,	,	PUNCT
app01-10637	121	12	which	which	PRON
app01-10637	121	13	achieves	achieve	VERB
app01-10637	121	14	a	a	DET
app01-10637	121	15	success	success	NOUN
app01-10637	121	16	rate	rate	NOUN
app01-10637	121	17	of	of	ADP
app01-10637	121	18	98.1	98.1	NUM
app01-10637	121	19	%	%	NOUN
app01-10637	121	20	in	in	ADP
app01-10637	121	21	detecting	detect	VERB
app01-10637	121	22	eye	eye	NOUN
app01-10637	121	23	conditions	condition	NOUN
app01-10637	121	24	to	to	PART
app01-10637	121	25	determine	determine	VERB
app01-10637	121	26	driver	driver	NOUN
app01-10637	121	27	fatigue	fatigue	NOUN
app01-10637	121	28	,	,	PUNCT
app01-10637	121	29	with	with	ADP
app01-10637	121	30	varying	vary	VERB
app01-10637	121	31	image	image	NOUN
app01-10637	121	32	quality	quality	NOUN
app01-10637	121	33	.	.	PUNCT
app01-10637	122	1	84	84	NUM
app01-10637	122	2	898	898	NUM
app01-10637	122	3	images	image	NOUN
app01-10637	122	4	were	be	AUX
app01-10637	122	5	used	use	VERB
app01-10637	122	6	to	to	PART
app01-10637	122	7	train	train	VERB
app01-10637	122	8	this	this	DET
app01-10637	122	9	model	model	NOUN
app01-10637	122	10	.	.	PUNCT
app01-10637	123	1	the	the	DET
app01-10637	123	2	model	model	NOUN
app01-10637	123	3	makes	make	VERB
app01-10637	123	4	decisions	decision	NOUN
app01-10637	123	5	based	base	VERB
app01-10637	123	6	on	on	ADP
app01-10637	123	7	:	:	PUNCT
app01-10637	123	8	blink	blink	NOUN
app01-10637	123	9	rate	rate	NOUN
app01-10637	123	10	,	,	PUNCT
app01-10637	123	11	maximum	maximum	ADJ
app01-10637	123	12	time	time	NOUN
app01-10637	123	13	for	for	ADP
app01-10637	123	14	eye	eye	NOUN
app01-10637	123	15	closure	closure	NOUN
app01-10637	123	16	,	,	PUNCT
app01-10637	123	17	perclos	perclo	NOUN
app01-10637	123	18	,	,	PUNCT
app01-10637	123	19	ear	ear	NOUN
app01-10637	123	20	,	,	PUNCT
app01-10637	123	21	yawning	yawn	VERB
app01-10637	123	22	and	and	CCONJ
app01-10637	123	23	head	head	NOUN
app01-10637	123	24	pose	pose	VERB
app01-10637	123	25	.	.	PUNCT
app01-10637	124	1	it	it	PRON
app01-10637	124	2	uses	use	VERB
app01-10637	124	3	an	an	DET
app01-10637	124	4	infrared	infrared	ADJ
app01-10637	124	5	camera	camera	NOUN
app01-10637	124	6	as	as	ADP
app01-10637	124	7	hardware	hardware	NOUN
app01-10637	124	8	.	.	PUNCT
app01-10637	125	1	the	the	DET
app01-10637	125	2	authors	author	NOUN
app01-10637	125	3	in	in	ADP
app01-10637	125	4	[	[	X
app01-10637	125	5	11	11	NUM
app01-10637	125	6	]	]	PUNCT
app01-10637	125	7	,	,	PUNCT
app01-10637	125	8	focus	focus	VERB
app01-10637	125	9	on	on	ADP
app01-10637	125	10	the	the	DET
app01-10637	125	11	effect	effect	NOUN
app01-10637	125	12	of	of	ADP
app01-10637	125	13	contrast	contrast	NOUN
app01-10637	125	14	and	and	CCONJ
app01-10637	125	15	lighting	lighting	NOUN
app01-10637	125	16	conditions	condition	NOUN
app01-10637	125	17	on	on	ADP
app01-10637	125	18	the	the	DET
app01-10637	125	19	accuracy	accuracy	NOUN
app01-10637	125	20	of	of	ADP
app01-10637	125	21	eye	eye	NOUN
app01-10637	125	22	state	state	NOUN
app01-10637	125	23	determination	determination	NOUN
app01-10637	125	24	using	use	VERB
app01-10637	125	25	perclos	perclo	NOUN
app01-10637	125	26	method	method	NOUN
app01-10637	125	27	.	.	PUNCT
app01-10637	126	1	their	their	PRON
app01-10637	126	2	results	result	NOUN
app01-10637	126	3	achieved	achieve	VERB
app01-10637	126	4	an	an	DET
app01-10637	126	5	accuracy	accuracy	NOUN
app01-10637	126	6	of	of	ADP
app01-10637	126	7	over	over	ADP
app01-10637	126	8	95	95	NUM
app01-10637	126	9	%	%	NOUN
app01-10637	126	10	.	.	PUNCT
app01-10637	127	1	in	in	ADP
app01-10637	127	2	[	[	X
app01-10637	127	3	12	12	NUM
app01-10637	127	4	]	]	PUNCT
app01-10637	127	5	,	,	PUNCT
app01-10637	127	6	the	the	DET
app01-10637	127	7	authors	author	NOUN
app01-10637	127	8	developed	develop	VERB
app01-10637	127	9	a	a	DET
app01-10637	127	10	method	method	NOUN
app01-10637	127	11	based	base	VERB
app01-10637	127	12	on	on	ADP
app01-10637	127	13	deep	deep	ADJ
app01-10637	127	14	learning	learning	NOUN
app01-10637	127	15	of	of	ADP
app01-10637	127	16	face	face	NOUN
app01-10637	127	17	video	video	NOUN
app01-10637	127	18	from	from	ADP
app01-10637	127	19	which	which	PRON
app01-10637	127	20	they	they	PRON
app01-10637	127	21	recognize	recognize	VERB
app01-10637	127	22	perclos	perclo	NOUN
app01-10637	127	23	,	,	PUNCT
app01-10637	127	24	fom	fom	NOUN
app01-10637	127	25	(	(	PUNCT
app01-10637	127	26	frequency	frequency	NOUN
app01-10637	127	27	of	of	ADP
app01-10637	127	28	open	open	ADJ
app01-10637	127	29	mouth	mouth	NOUN
app01-10637	127	30	)	)	PUNCT
app01-10637	127	31	and	and	CCONJ
app01-10637	127	32	em	em	PRON
app01-10637	127	33	(	(	PUNCT
app01-10637	127	34	eye	eye	NOUN
app01-10637	127	35	-	-	PUNCT
app01-10637	127	36	mouth	mouth	NOUN
app01-10637	127	37	state	state	NOUN
app01-10637	127	38	)	)	PUNCT
app01-10637	127	39	.	.	PUNCT
app01-10637	128	1	based	base	VERB
app01-10637	128	2	on	on	ADP
app01-10637	128	3	the	the	DET
app01-10637	128	4	recognized	recognize	VERB
app01-10637	128	5	parameters	parameter	NOUN
app01-10637	128	6	,	,	PUNCT
app01-10637	128	7	the	the	DET
app01-10637	128	8	model	model	NOUN
app01-10637	128	9	then	then	ADV
app01-10637	128	10	detected	detect	VERB
app01-10637	128	11	fatigue	fatigue	NOUN
app01-10637	128	12	with	with	ADP
app01-10637	128	13	98.3	98.3	NUM
app01-10637	128	14	%	%	NOUN
app01-10637	128	15	accuracy	accuracy	NOUN
app01-10637	128	16	.	.	PUNCT
app01-10637	129	1	a	a	DET
app01-10637	129	2	wearable	wearable	ADJ
app01-10637	129	3	bracelet	bracelet	NOUN
app01-10637	129	4	to	to	PART
app01-10637	129	5	measure	measure	VERB
app01-10637	129	6	fatigue	fatigue	NOUN
app01-10637	129	7	that	that	PRON
app01-10637	129	8	converts	convert	VERB
app01-10637	129	9	the	the	DET
app01-10637	129	10	results	result	NOUN
app01-10637	129	11	to	to	ADP
app01-10637	129	12	the	the	DET
app01-10637	129	13	kss	kss	PROPN
app01-10637	129	14	is	be	AUX
app01-10637	129	15	presented	present	VERB
app01-10637	129	16	in	in	ADP
app01-10637	129	17	[	[	X
app01-10637	129	18	13	13	NUM
app01-10637	129	19	]	]	PUNCT
app01-10637	129	20	.	.	PUNCT
app01-10637	130	1	the	the	DET
app01-10637	130	2	bracelet	bracelet	NOUN
app01-10637	130	3	measures	measure	NOUN
app01-10637	130	4	gsr	gsr	NOUN
app01-10637	130	5	(	(	PUNCT
app01-10637	130	6	galvanic	galvanic	ADJ
app01-10637	130	7	skin	skin	NOUN
app01-10637	130	8	response	response	NOUN
app01-10637	130	9	)	)	PUNCT
app01-10637	130	10	signal	signal	NOUN
app01-10637	130	11	,	,	PUNCT
app01-10637	130	12	drowsy	drowsy	NOUN
app01-10637	130	13	level	level	NOUN
app01-10637	130	14	,	,	PUNCT
app01-10637	130	15	heart	heart	NOUN
app01-10637	130	16	rate	rate	NOUN
app01-10637	130	17	,	,	PUNCT
app01-10637	130	18	pulse	pulse	NOUN
app01-10637	130	19	rate	rate	NOUN
app01-10637	130	20	variability	variability	NOUN
app01-10637	130	21	and	and	CCONJ
app01-10637	130	22	respiration	respiration	NOUN
app01-10637	130	23	rate	rate	NOUN
app01-10637	130	24	.	.	PUNCT
app01-10637	131	1	it	it	PRON
app01-10637	131	2	uses	use	VERB
app01-10637	131	3	a	a	DET
app01-10637	131	4	trained	train	VERB
app01-10637	131	5	svm	svm	ADJ
app01-10637	131	6	model	model	NOUN
app01-10637	131	7	as	as	ADP
app01-10637	131	8	a	a	DET
app01-10637	131	9	classifier	classifier	NOUN
app01-10637	131	10	to	to	PART
app01-10637	131	11	determine	determine	VERB
app01-10637	131	12	the	the	DET
app01-10637	131	13	fatigue	fatigue	NOUN
app01-10637	131	14	level	level	NOUN
app01-10637	131	15	,	,	PUNCT
app01-10637	131	16	which	which	PRON
app01-10637	131	17	achieves	achieve	VERB
app01-10637	131	18	an	an	DET
app01-10637	131	19	accuracy	accuracy	NOUN
app01-10637	131	20	of	of	ADP
app01-10637	131	21	98.3	98.3	NUM
app01-10637	131	22	%	%	NOUN
app01-10637	131	23	.	.	PUNCT
app01-10637	132	1	driver	driver	NOUN
app01-10637	132	2	behavior	behavior	PROPN
app01-10637	132	3	/	/	SYM
app01-10637	132	4	attention	attention	NOUN
app01-10637	132	5	recognition	recognition	NOUN
app01-10637	132	6	is	be	AUX
app01-10637	132	7	measured	measure	VERB
app01-10637	132	8	in	in	ADP
app01-10637	132	9	a	a	DET
app01-10637	132	10	different	different	ADJ
app01-10637	132	11	way	way	NOUN
app01-10637	132	12	.	.	PUNCT
app01-10637	133	1	often	often	ADV
app01-10637	133	2	a	a	DET
app01-10637	133	3	so	so	ADV
app01-10637	133	4	-	-	PUNCT
app01-10637	133	5	called	call	VERB
app01-10637	133	6	two	two	NUM
app01-10637	133	7	-	-	PUNCT
app01-10637	133	8	stream	stream	NOUN
app01-10637	133	9	,	,	PUNCT
app01-10637	133	10	or	or	CCONJ
app01-10637	133	11	a	a	DET
app01-10637	133	12	shot	shot	NOUN
app01-10637	133	13	of	of	ADP
app01-10637	133	14	the	the	DET
app01-10637	133	15	driver	driver	NOUN
app01-10637	133	16	and	and	CCONJ
app01-10637	133	17	the	the	DET
app01-10637	133	18	road	road	NOUN
app01-10637	133	19	in	in	ADP
app01-10637	133	20	front	front	NOUN
app01-10637	133	21	of	of	ADP
app01-10637	133	22	the	the	DET
app01-10637	133	23	vehicle	vehicle	NOUN
app01-10637	133	24	at	at	ADP
app01-10637	133	25	the	the	DET
app01-10637	133	26	same	same	ADJ
app01-10637	133	27	time	time	NOUN
app01-10637	133	28	,	,	PUNCT
app01-10637	133	29	is	be	AUX
app01-10637	133	30	used	use	VERB
app01-10637	133	31	.	.	PUNCT
app01-10637	134	1	in	in	ADP
app01-10637	134	2	the	the	DET
app01-10637	134	3	driver	driver	NOUN
app01-10637	134	4	shot	shot	NOUN
app01-10637	134	5	,	,	PUNCT
app01-10637	134	6	eyetracking	eyetracke	VERB
app01-10637	134	7	tracks	track	NOUN
app01-10637	134	8	where	where	SCONJ
app01-10637	134	9	the	the	DET
app01-10637	134	10	driver	driver	NOUN
app01-10637	134	11	is	be	AUX
app01-10637	134	12	looking	look	VERB
app01-10637	134	13	and	and	CCONJ
app01-10637	134	14	then	then	ADV
app01-10637	134	15	looks	look	VERB
app01-10637	134	16	for	for	ADP
app01-10637	134	17	correlations	correlation	NOUN
app01-10637	134	18	in	in	ADP
app01-10637	134	19	what	what	PRON
app01-10637	134	20	is	be	AUX
app01-10637	134	21	happening	happen	VERB
app01-10637	134	22	on	on	ADP
app01-10637	134	23	the	the	DET
app01-10637	134	24	road	road	NOUN
app01-10637	134	25	.	.	PUNCT
app01-10637	135	1	an	an	DET
app01-10637	135	2	example	example	NOUN
app01-10637	135	3	is	be	AUX
app01-10637	135	4	the	the	DET
app01-10637	135	5	work	work	NOUN
app01-10637	135	6	of	of	ADP
app01-10637	135	7	[	[	X
app01-10637	135	8	14	14	NUM
app01-10637	135	9	]	]	PUNCT
app01-10637	135	10	,	,	PUNCT
app01-10637	135	11	in	in	ADP
app01-10637	135	12	which	which	PRON
app01-10637	135	13	the	the	DET
app01-10637	135	14	authors	author	NOUN
app01-10637	135	15	use	use	VERB
app01-10637	135	16	a	a	DET
app01-10637	135	17	neural	neural	ADJ
app01-10637	135	18	network	network	NOUN
app01-10637	135	19	that	that	PRON
app01-10637	135	20	recognizes	recognize	VERB
app01-10637	135	21	vehicles	vehicle	NOUN
app01-10637	135	22	,	,	PUNCT
app01-10637	135	23	cyclists	cyclist	NOUN
app01-10637	135	24	,	,	PUNCT
app01-10637	135	25	etc	etc	X
app01-10637	135	26	.	.	X
app01-10637	136	1	in	in	ADP
app01-10637	136	2	front	front	NOUN
app01-10637	136	3	of	of	ADP
app01-10637	136	4	a	a	DET
app01-10637	136	5	vehicle	vehicle	NOUN
app01-10637	136	6	and	and	CCONJ
app01-10637	136	7	then	then	ADV
app01-10637	136	8	compares	compare	VERB
app01-10637	136	9	this	this	DET
app01-10637	136	10	data	datum	NOUN
app01-10637	136	11	with	with	ADP
app01-10637	136	12	data	datum	NOUN
app01-10637	136	13	from	from	ADP
app01-10637	136	14	eyetracker	eyetracker	NOUN
app01-10637	136	15	.	.	PUNCT
app01-10637	137	1	the	the	DET
app01-10637	137	2	model	model	NOUN
app01-10637	137	3	achieved	achieve	VERB
app01-10637	137	4	an	an	DET
app01-10637	137	5	accuracy	accuracy	NOUN
app01-10637	137	6	of	of	ADP
app01-10637	137	7	99.68	99.68	NUM
app01-10637	137	8	%	%	NOUN
app01-10637	137	9	.	.	PUNCT
app01-10637	138	1	the	the	DET
app01-10637	138	2	authors	author	NOUN
app01-10637	138	3	in	in	ADP
app01-10637	138	4	[	[	X
app01-10637	138	5	15	15	NUM
app01-10637	138	6	]	]	PUNCT
app01-10637	138	7	used	use	VERB
app01-10637	138	8	a	a	DET
app01-10637	138	9	similar	similar	ADJ
app01-10637	138	10	approach	approach	NOUN
app01-10637	138	11	.	.	PUNCT
app01-10637	139	1	they	they	PRON
app01-10637	139	2	tried	try	VERB
app01-10637	139	3	to	to	PART
app01-10637	139	4	find	find	VERB
app01-10637	139	5	a	a	DET
app01-10637	139	6	correlation	correlation	NOUN
app01-10637	139	7	between	between	ADP
app01-10637	139	8	the	the	DET
app01-10637	139	9	data	datum	NOUN
app01-10637	139	10	from	from	ADP
app01-10637	139	11	the	the	DET
app01-10637	139	12	eyetracker	eyetracker	NOUN
app01-10637	139	13	and	and	CCONJ
app01-10637	139	14	the	the	DET
app01-10637	139	15	driving	driving	NOUN
app01-10637	139	16	of	of	ADP
app01-10637	139	17	the	the	DET
app01-10637	139	18	vehicle	vehicle	NOUN
app01-10637	139	19	,	,	PUNCT
app01-10637	139	20	for	for	ADP
app01-10637	139	21	example	example	NOUN
app01-10637	139	22	,	,	PUNCT
app01-10637	139	23	when	when	SCONJ
app01-10637	139	24	looking	look	VERB
app01-10637	139	25	to	to	ADP
app01-10637	139	26	the	the	DET
app01-10637	139	27	left	left	NOUN
app01-10637	139	28	or	or	CCONJ
app01-10637	139	29	overtaking	overtaking	NOUN
app01-10637	139	30	,	,	PUNCT
app01-10637	139	31	they	they	PRON
app01-10637	139	32	monitor	monitor	VERB
app01-10637	139	33	whether	whether	SCONJ
app01-10637	139	34	the	the	DET
app01-10637	139	35	driver	driver	NOUN
app01-10637	139	36	is	be	AUX
app01-10637	139	37	looking	look	VERB
app01-10637	139	38	in	in	ADP
app01-10637	139	39	the	the	DET
app01-10637	139	40	appropriate	appropriate	ADJ
app01-10637	139	41	direction	direction	NOUN
app01-10637	139	42	.	.	PUNCT
app01-10637	140	1	the	the	DET
app01-10637	140	2	accuracy	accuracy	NOUN
app01-10637	140	3	of	of	ADP
app01-10637	140	4	the	the	DET
app01-10637	140	5	results	result	NOUN
app01-10637	140	6	(	(	PUNCT
app01-10637	140	7	87.2	87.2	NUM
app01-10637	140	8	%	%	NOUN
app01-10637	140	9	)	)	PUNCT
app01-10637	140	10	is	be	AUX
app01-10637	140	11	reduced	reduce	VERB
app01-10637	140	12	by	by	ADP
app01-10637	140	13	the	the	DET
app01-10637	140	14	impaired	impaired	ADJ
app01-10637	140	15	camera	camera	NOUN
app01-10637	140	16	view	view	NOUN
app01-10637	140	17	from	from	ADP
app01-10637	140	18	the	the	DET
app01-10637	140	19	vehicle	vehicle	NOUN
app01-10637	140	20	,	,	PUNCT
app01-10637	140	21	where	where	SCONJ
app01-10637	140	22	the	the	DET
app01-10637	140	23	side	side	NOUN
app01-10637	140	24	view	view	NOUN
app01-10637	140	25	is	be	AUX
app01-10637	140	26	not	not	PART
app01-10637	140	27	properly	properly	ADV
app01-10637	140	28	visible	visible	ADJ
app01-10637	140	29	.	.	PUNCT
app01-10637	141	1	3	3	X
app01-10637	141	2	.	.	X
app01-10637	141	3	public	public	ADJ
app01-10637	141	4	awareness	awareness	NOUN
app01-10637	141	5	questionnaire	questionnaire	NOUN
app01-10637	141	6	the	the	DET
app01-10637	141	7	questionnaire	questionnaire	NOUN
app01-10637	141	8	is	be	AUX
app01-10637	141	9	aimed	aim	VERB
app01-10637	141	10	at	at	ADP
app01-10637	141	11	mapping	map	VERB
app01-10637	141	12	public	public	ADJ
app01-10637	141	13	awareness	awareness	NOUN
app01-10637	141	14	of	of	ADP
app01-10637	141	15	the	the	DET
app01-10637	141	16	deployment	deployment	NOUN
app01-10637	141	17	of	of	ADP
app01-10637	141	18	interior	interior	ADJ
app01-10637	141	19	cameras	camera	NOUN
app01-10637	141	20	in	in	ADP
app01-10637	141	21	passenger	passenger	NOUN
app01-10637	141	22	cars	car	NOUN
app01-10637	141	23	within	within	ADP
app01-10637	141	24	the	the	DET
app01-10637	141	25	eu	eu	PROPN
app01-10637	141	26	.	.	PUNCT
app01-10637	142	1	the	the	DET
app01-10637	142	2	main	main	ADJ
app01-10637	142	3	objective	objective	NOUN
app01-10637	142	4	is	be	AUX
app01-10637	142	5	to	to	PART
app01-10637	142	6	find	find	VERB
app01-10637	142	7	out	out	ADP
app01-10637	142	8	the	the	DET
app01-10637	142	9	public	public	NOUN
app01-10637	142	10	’s	’s	PART
app01-10637	142	11	awareness	awareness	NOUN
app01-10637	142	12	of	of	ADP
app01-10637	142	13	the	the	DET
app01-10637	142	14	mandatory	mandatory	ADJ
app01-10637	142	15	introduction	introduction	NOUN
app01-10637	142	16	of	of	ADP
app01-10637	142	17	interior	interior	ADJ
app01-10637	142	18	cameras	camera	NOUN
app01-10637	142	19	,	,	PUNCT
app01-10637	142	20	their	their	PRON
app01-10637	142	21	opinion	opinion	NOUN
app01-10637	142	22	on	on	ADP
app01-10637	142	23	this	this	DET
app01-10637	142	24	technology	technology	NOUN
app01-10637	142	25	and	and	CCONJ
app01-10637	142	26	whether	whether	SCONJ
app01-10637	142	27	they	they	PRON
app01-10637	142	28	would	would	AUX
app01-10637	142	29	like	like	VERB
app01-10637	142	30	to	to	PART
app01-10637	142	31	have	have	VERB
app01-10637	142	32	it	it	PRON
app01-10637	142	33	in	in	ADP
app01-10637	142	34	their	their	PRON
app01-10637	142	35	vehicle	vehicle	NOUN
app01-10637	142	36	.	.	PUNCT
app01-10637	143	1	the	the	DET
app01-10637	143	2	questionnaire	questionnaire	NOUN
app01-10637	143	3	asks	ask	VERB
app01-10637	143	4	the	the	DET
app01-10637	143	5	respondent	respondent	NOUN
app01-10637	143	6	for	for	ADP
app01-10637	143	7	basic	basic	ADJ
app01-10637	143	8	information	information	NOUN
app01-10637	143	9	such	such	ADJ
app01-10637	143	10	as	as	ADP
app01-10637	143	11	age	age	NOUN
app01-10637	143	12	,	,	PUNCT
app01-10637	143	13	driving	drive	VERB
app01-10637	143	14	experience	experience	NOUN
app01-10637	143	15	or	or	CCONJ
app01-10637	143	16	whether	whether	SCONJ
app01-10637	143	17	they	they	PRON
app01-10637	143	18	plan	plan	VERB
app01-10637	143	19	to	to	PART
app01-10637	143	20	buy	buy	VERB
app01-10637	143	21	a	a	DET
app01-10637	143	22	new	new	ADJ
app01-10637	143	23	vehicle	vehicle	NOUN
app01-10637	143	24	in	in	ADP
app01-10637	143	25	the	the	DET
app01-10637	143	26	near	near	ADJ
app01-10637	143	27	future	future	NOUN
app01-10637	143	28	in	in	ADP
app01-10637	143	29	which	which	PRON
app01-10637	143	30	a	a	DET
app01-10637	143	31	camera	camera	NOUN
app01-10637	143	32	may	may	AUX
app01-10637	143	33	already	already	ADV
app01-10637	143	34	be	be	AUX
app01-10637	143	35	implemented	implement	VERB
app01-10637	143	36	.	.	PUNCT
app01-10637	144	1	the	the	DET
app01-10637	144	2	anonymous	anonymous	ADJ
app01-10637	144	3	questionnaire	questionnaire	NOUN
app01-10637	144	4	aimed	aim	VERB
app01-10637	144	5	at	at	ADP
app01-10637	144	6	gauging	gauge	VERB
app01-10637	144	7	the	the	DET
app01-10637	144	8	public	public	NOUN
app01-10637	144	9	’s	’s	PART
app01-10637	144	10	opinion	opinion	NOUN
app01-10637	144	11	on	on	ADP
app01-10637	144	12	the	the	DET
app01-10637	144	13	enactment	enactment	NOUN
app01-10637	144	14	of	of	ADP
app01-10637	144	15	interior	interior	ADJ
app01-10637	144	16	cameras	camera	NOUN
app01-10637	144	17	in	in	ADP
app01-10637	144	18	passenger	passenger	NOUN
app01-10637	144	19	cars	car	NOUN
app01-10637	144	20	produced	produce	VERB
app01-10637	144	21	in	in	ADP
app01-10637	144	22	the	the	DET
app01-10637	144	23	eu	eu	PROPN
app01-10637	144	24	.	.	PUNCT
app01-10637	145	1	the	the	DET
app01-10637	145	2	main	main	ADJ
app01-10637	145	3	objective	objective	NOUN
app01-10637	145	4	was	be	AUX
app01-10637	145	5	to	to	PART
app01-10637	145	6	find	find	VERB
app01-10637	145	7	out	out	ADP
app01-10637	145	8	what	what	PRON
app01-10637	145	9	respondent	respondent	NOUN
app01-10637	145	10	’s	’s	PART
app01-10637	145	11	awareness	awareness	NOUN
app01-10637	145	12	and	and	CCONJ
app01-10637	145	13	opinion	opinion	NOUN
app01-10637	145	14	on	on	ADP
app01-10637	145	15	the	the	DET
app01-10637	145	16	deployment	deployment	NOUN
app01-10637	145	17	of	of	ADP
app01-10637	145	18	interior	interior	ADJ
app01-10637	145	19	cameras	camera	NOUN
app01-10637	145	20	is	be	AUX
app01-10637	145	21	.	.	PUNCT
app01-10637	146	1	4	4	X
app01-10637	146	2	.	.	X
app01-10637	146	3	results	result	VERB
app01-10637	146	4	4.1	4.1	NUM
app01-10637	146	5	.	.	PUNCT
app01-10637	147	1	summary	summary	NOUN
app01-10637	147	2	of	of	ADP
app01-10637	147	3	methods	method	NOUN
app01-10637	147	4	there	there	PRON
app01-10637	147	5	are	be	VERB
app01-10637	147	6	methods	method	NOUN
app01-10637	147	7	to	to	PART
app01-10637	147	8	determine	determine	VERB
app01-10637	147	9	fatigue	fatigue	NOUN
app01-10637	147	10	and	and	CCONJ
app01-10637	147	11	drowsiness	drowsiness	NOUN
app01-10637	147	12	.	.	PUNCT
app01-10637	148	1	there	there	PRON
app01-10637	148	2	is	be	VERB
app01-10637	148	3	a	a	DET
app01-10637	148	4	number	number	NOUN
app01-10637	148	5	of	of	ADP
app01-10637	148	6	symptoms	symptom	NOUN
app01-10637	148	7	that	that	PRON
app01-10637	148	8	can	can	AUX
app01-10637	148	9	be	be	AUX
app01-10637	148	10	measured	measure	VERB
app01-10637	148	11	,	,	PUNCT
app01-10637	148	12	some	some	PRON
app01-10637	148	13	of	of	ADP
app01-10637	148	14	which	which	PRON
app01-10637	148	15	are	be	AUX
app01-10637	148	16	common	common	ADJ
app01-10637	148	17	and	and	CCONJ
app01-10637	148	18	quite	quite	ADV
app01-10637	148	19	obvious	obvious	ADJ
app01-10637	148	20	and	and	CCONJ
app01-10637	148	21	some	some	PRON
app01-10637	148	22	of	of	ADP
app01-10637	148	23	which	which	PRON
app01-10637	148	24	are	be	AUX
app01-10637	148	25	less	less	ADV
app01-10637	148	26	well	well	ADV
app01-10637	148	27	known	know	VERB
app01-10637	148	28	and	and	CCONJ
app01-10637	148	29	harder	hard	ADJ
app01-10637	148	30	to	to	PART
app01-10637	148	31	detect	detect	VERB
app01-10637	148	32	.	.	PUNCT
app01-10637	149	1	for	for	ADP
app01-10637	149	2	example	example	NOUN
app01-10637	149	3	,	,	PUNCT
app01-10637	149	4	those	those	PRON
app01-10637	149	5	that	that	PRON
app01-10637	149	6	can	can	AUX
app01-10637	149	7	be	be	AUX
app01-10637	149	8	detected	detect	VERB
app01-10637	149	9	by	by	ADP
app01-10637	149	10	image	image	NOUN
app01-10637	149	11	recognition	recognition	NOUN
app01-10637	149	12	,	,	PUNCT
app01-10637	149	13	such	such	ADJ
app01-10637	149	14	as	as	ADP
app01-10637	149	15	yawning	yawn	VERB
app01-10637	149	16	,	,	PUNCT
app01-10637	149	17	blinking	blink	VERB
app01-10637	149	18	,	,	PUNCT
app01-10637	149	19	closing	close	VERB
app01-10637	149	20	the	the	DET
app01-10637	149	21	eyes	eye	NOUN
app01-10637	149	22	or	or	CCONJ
app01-10637	149	23	head	head	NOUN
app01-10637	149	24	position	position	NOUN
app01-10637	149	25	,	,	PUNCT
app01-10637	149	26	can	can	AUX
app01-10637	149	27	be	be	AUX
app01-10637	149	28	described	describe	VERB
app01-10637	149	29	as	as	ADP
app01-10637	149	30	common	common	ADJ
app01-10637	149	31	.	.	PUNCT
app01-10637	150	1	the	the	DET
app01-10637	150	2	less	less	ADV
app01-10637	150	3	easily	easily	ADV
app01-10637	150	4	detectable	detectable	ADJ
app01-10637	150	5	ones	one	NOUN
app01-10637	150	6	include	include	VERB
app01-10637	150	7	a	a	DET
app01-10637	150	8	decreasing	decrease	VERB
app01-10637	150	9	rr	rr	NOUN
app01-10637	150	10	interval	interval	NOUN
app01-10637	150	11	,	,	PUNCT
app01-10637	150	12	reduced	reduce	VERB
app01-10637	150	13	respiratory	respiratory	ADJ
app01-10637	150	14	rate	rate	NOUN
app01-10637	150	15	,	,	PUNCT
app01-10637	150	16	reduced	reduce	VERB
app01-10637	150	17	skin	skin	NOUN
app01-10637	150	18	conductance	conductance	NOUN
app01-10637	150	19	or	or	CCONJ
app01-10637	150	20	even	even	ADV
app01-10637	150	21	a	a	DET
app01-10637	150	22	slightly	slightly	ADV
app01-10637	150	23	lower	low	ADJ
app01-10637	150	24	body	body	NOUN
app01-10637	150	25	temperature	temperature	NOUN
app01-10637	150	26	.	.	PUNCT
app01-10637	151	1	for	for	ADP
app01-10637	151	2	attention	attention	NOUN
app01-10637	151	3	recognition	recognition	NOUN
app01-10637	151	4	,	,	PUNCT
app01-10637	151	5	correlations	correlation	NOUN
app01-10637	151	6	are	be	AUX
app01-10637	151	7	most	most	ADV
app01-10637	151	8	often	often	ADV
app01-10637	151	9	sought	seek	VERB
app01-10637	151	10	between	between	ADP
app01-10637	151	11	images	image	NOUN
app01-10637	151	12	from	from	ADP
app01-10637	151	13	cameras	camera	NOUN
app01-10637	151	14	on	on	ADP
app01-10637	151	15	the	the	DET
app01-10637	151	16	driver	driver	NOUN
app01-10637	151	17	and	and	CCONJ
app01-10637	151	18	on	on	ADP
app01-10637	151	19	the	the	DET
app01-10637	151	20	road	road	NOUN
app01-10637	151	21	in	in	ADP
app01-10637	151	22	front	front	NOUN
app01-10637	151	23	of	of	ADP
app01-10637	151	24	the	the	DET
app01-10637	151	25	vehicle	vehicle	NOUN
app01-10637	151	26	.	.	PUNCT
app01-10637	152	1	deep	deep	ADJ
app01-10637	152	2	learning	learning	NOUN
app01-10637	152	3	models	model	NOUN
app01-10637	152	4	(	(	PUNCT
app01-10637	152	5	neural	neural	ADJ
app01-10637	152	6	networks	network	NOUN
app01-10637	152	7	)	)	PUNCT
app01-10637	152	8	are	be	AUX
app01-10637	152	9	often	often	ADV
app01-10637	152	10	used	use	VERB
app01-10637	152	11	to	to	PART
app01-10637	152	12	detect	detect	VERB
app01-10637	152	13	vehicles	vehicle	NOUN
app01-10637	152	14	and	and	CCONJ
app01-10637	152	15	road	road	NOUN
app01-10637	152	16	events	event	NOUN
app01-10637	152	17	in	in	ADP
app01-10637	152	18	general	general	ADJ
app01-10637	152	19	.	.	PUNCT
app01-10637	153	1	these	these	DET
app01-10637	153	2	models	model	NOUN
app01-10637	153	3	can	can	AUX
app01-10637	153	4	be	be	AUX
app01-10637	153	5	very	very	ADV
app01-10637	153	6	reliable	reliable	ADJ
app01-10637	153	7	,	,	PUNCT
app01-10637	153	8	but	but	CCONJ
app01-10637	153	9	good	good	ADJ
app01-10637	153	10	model	model	NOUN
app01-10637	153	11	training	training	NOUN
app01-10637	153	12	is	be	AUX
app01-10637	153	13	required	require	VERB
app01-10637	153	14	.	.	PUNCT
app01-10637	154	1	in	in	ADP
app01-10637	154	2	the	the	DET
app01-10637	154	3	measurement	measurement	NOUN
app01-10637	154	4	process	process	NOUN
app01-10637	154	5	,	,	PUNCT
app01-10637	154	6	the	the	DET
app01-10637	154	7	influence	influence	NOUN
app01-10637	154	8	of	of	ADP
app01-10637	154	9	elements	element	NOUN
app01-10637	154	10	that	that	PRON
app01-10637	154	11	may	may	AUX
app01-10637	154	12	have	have	VERB
app01-10637	154	13	a	a	DET
app01-10637	154	14	negative	negative	ADJ
app01-10637	154	15	impact	impact	NOUN
app01-10637	154	16	on	on	ADP
app01-10637	154	17	the	the	DET
app01-10637	154	18	accuracy	accuracy	NOUN
app01-10637	154	19	of	of	ADP
app01-10637	154	20	the	the	DET
app01-10637	154	21	measurement	measurement	NOUN
app01-10637	154	22	results	result	NOUN
app01-10637	154	23	should	should	AUX
app01-10637	154	24	be	be	AUX
app01-10637	154	25	minimized	minimize	VERB
app01-10637	154	26	or	or	CCONJ
app01-10637	154	27	,	,	PUNCT
app01-10637	154	28	better	well	ADV
app01-10637	154	29	still	still	ADV
app01-10637	154	30	,	,	PUNCT
app01-10637	154	31	eliminated	eliminate	VERB
app01-10637	154	32	altogether	altogether	ADV
app01-10637	154	33	.	.	PUNCT
app01-10637	155	1	examples	example	NOUN
app01-10637	155	2	include	include	VERB
app01-10637	155	3	the	the	DET
app01-10637	155	4	use	use	NOUN
app01-10637	155	5	of	of	ADP
app01-10637	155	6	hardware	hardware	NOUN
app01-10637	155	7	with	with	ADP
app01-10637	155	8	sufficient	sufficient	ADJ
app01-10637	155	9	image	image	NOUN
app01-10637	155	10	quality	quality	NOUN
app01-10637	155	11	or	or	CCONJ
app01-10637	155	12	the	the	DET
app01-10637	155	13	preference	preference	NOUN
app01-10637	155	14	for	for	ADP
app01-10637	155	15	infrared	infrare	VERB
app01-10637	155	16	over	over	ADP
app01-10637	155	17	rgb	rgb	PROPN
app01-10637	155	18	cameras	camera	NOUN
app01-10637	155	19	when	when	SCONJ
app01-10637	155	20	measuring	measure	VERB
app01-10637	155	21	at	at	ADP
app01-10637	155	22	night	night	NOUN
app01-10637	155	23	.	.	PUNCT
app01-10637	156	1	from	from	ADP
app01-10637	156	2	the	the	DET
app01-10637	156	3	research	research	NOUN
app01-10637	156	4	carried	carry	VERB
app01-10637	156	5	out	out	ADP
app01-10637	156	6	,	,	PUNCT
app01-10637	156	7	it	it	PRON
app01-10637	156	8	appears	appear	VERB
app01-10637	156	9	that	that	SCONJ
app01-10637	156	10	methods	method	NOUN
app01-10637	156	11	based	base	VERB
app01-10637	156	12	on	on	ADP
app01-10637	156	13	multiple	multiple	ADJ
app01-10637	156	14	data	datum	NOUN
app01-10637	156	15	sources	source	NOUN
app01-10637	156	16	are	be	AUX
app01-10637	156	17	generally	generally	ADV
app01-10637	156	18	more	more	ADV
app01-10637	156	19	accurate	accurate	ADJ
app01-10637	156	20	and	and	CCONJ
app01-10637	156	21	,	,	PUNCT
app01-10637	156	22	more	more	ADV
app01-10637	156	23	importantly	importantly	ADV
app01-10637	156	24	,	,	PUNCT
app01-10637	156	25	more	more	ADV
app01-10637	156	26	robust	robust	ADJ
app01-10637	156	27	.	.	PUNCT
app01-10637	157	1	the	the	DET
app01-10637	157	2	table	table	NOUN
app01-10637	157	3	3	3	NUM
app01-10637	157	4	lists	list	NOUN
app01-10637	157	5	and	and	CCONJ
app01-10637	157	6	ranks	rank	VERB
app01-10637	157	7	the	the	DET
app01-10637	157	8	methods	method	NOUN
app01-10637	157	9	found	find	VERB
app01-10637	157	10	according	accord	VERB
app01-10637	157	11	to	to	ADP
app01-10637	157	12	their	their	PRON
app01-10637	157	13	accuracy	accuracy	NOUN
app01-10637	157	14	.	.	PUNCT
app01-10637	158	1	some	some	DET
app01-10637	158	2	methods	method	NOUN
app01-10637	158	3	achieve	achieve	VERB
app01-10637	158	4	high	high	ADJ
app01-10637	158	5	accuracy	accuracy	NOUN
app01-10637	158	6	,	,	PUNCT
app01-10637	158	7	but	but	CCONJ
app01-10637	158	8	not	not	PART
app01-10637	158	9	all	all	PRON
app01-10637	158	10	of	of	ADP
app01-10637	158	11	these	these	DET
app01-10637	158	12	methods	method	NOUN
app01-10637	158	13	directly	directly	ADV
app01-10637	158	14	detect	detect	VERB
app01-10637	158	15	fatigue	fatigue	NOUN
app01-10637	158	16	levels	level	NOUN
app01-10637	158	17	,	,	PUNCT
app01-10637	158	18	but	but	CCONJ
app01-10637	158	19	focus	focus	VERB
app01-10637	158	20	on	on	ADP
app01-10637	158	21	the	the	DET
app01-10637	158	22	correlation	correlation	NOUN
app01-10637	158	23	between	between	ADP
app01-10637	158	24	subjective	subjective	ADJ
app01-10637	158	25	and	and	CCONJ
app01-10637	158	26	objective	objective	ADJ
app01-10637	158	27	results	result	NOUN
app01-10637	158	28	,	,	PUNCT
app01-10637	158	29	which	which	PRON
app01-10637	158	30	is	be	AUX
app01-10637	158	31	usually	usually	ADV
app01-10637	158	32	simpler	simple	ADJ
app01-10637	158	33	and	and	CCONJ
app01-10637	158	34	less	less	ADV
app01-10637	158	35	complex	complex	ADJ
app01-10637	158	36	.	.	PUNCT
app01-10637	159	1	another	another	DET
app01-10637	159	2	factor	factor	NOUN
app01-10637	159	3	that	that	PRON
app01-10637	159	4	has	have	VERB
app01-10637	159	5	a	a	DET
app01-10637	159	6	large	large	ADJ
app01-10637	159	7	impact	impact	NOUN
app01-10637	159	8	on	on	ADP
app01-10637	159	9	accuracy	accuracy	NOUN
app01-10637	159	10	is	be	AUX
app01-10637	159	11	the	the	DET
app01-10637	159	12	influence	influence	NOUN
app01-10637	159	13	of	of	ADP
app01-10637	159	14	the	the	DET
app01-10637	159	15	environment	environment	NOUN
app01-10637	159	16	.	.	PUNCT
app01-10637	160	1	there	there	PRON
app01-10637	160	2	is	be	VERB
app01-10637	160	3	a	a	DET
app01-10637	160	4	huge	huge	ADJ
app01-10637	160	5	difference	difference	NOUN
app01-10637	160	6	between	between	ADP
app01-10637	160	7	measuring	measure	VERB
app01-10637	160	8	in	in	ADP
app01-10637	160	9	laboratory	laboratory	NOUN
app01-10637	160	10	“	"	PUNCT
app01-10637	160	11	ideal	ideal	ADJ
app01-10637	160	12	”	"	PUNCT
app01-10637	160	13	conditions	condition	NOUN
app01-10637	160	14	versus	versus	ADP
app01-10637	160	15	measuring	measure	VERB
app01-10637	160	16	in	in	ADP
app01-10637	160	17	real	real	ADJ
app01-10637	160	18	-	-	PUNCT
app01-10637	160	19	world	world	NOUN
app01-10637	160	20	conditions	condition	NOUN
app01-10637	160	21	.	.	PUNCT
app01-10637	161	1	53	53	NUM
app01-10637	161	2	filip	filip	NOUN
app01-10637	161	3	kotas	kota	NOUN
app01-10637	161	4	,	,	PUNCT
app01-10637	161	5	jan	jan	PROPN
app01-10637	161	6	leistner	leistner	PROPN
app01-10637	161	7	acta	acta	PROPN
app01-10637	161	8	polytechnica	polytechnica	PROPN
app01-10637	161	9	ctu	ctu	PROPN
app01-10637	161	10	proceedings	proceeding	NOUN
app01-10637	161	11	method	method	VERB
app01-10637	161	12	accuracy	accuracy	NOUN
app01-10637	161	13	measurement	measurement	NOUN
app01-10637	161	14	target	target	NOUN
app01-10637	161	15	source	source	NOUN
app01-10637	161	16	eyetracking	eyetracking	NOUN
app01-10637	161	17	,	,	PUNCT
app01-10637	161	18	neural	neural	ADJ
app01-10637	161	19	network	network	NOUN
app01-10637	161	20	99.68	99.68	NUM
app01-10637	161	21	%	%	NOUN
app01-10637	161	22	two	two	NUM
app01-10637	161	23	-	-	PUNCT
app01-10637	161	24	stream	stream	NOUN
app01-10637	161	25	,	,	PUNCT
app01-10637	161	26	finding	find	VERB
app01-10637	161	27	correlations	correlation	NOUN
app01-10637	161	28	between	between	ADP
app01-10637	161	29	the	the	DET
app01-10637	161	30	driver	driver	NOUN
app01-10637	161	31	and	and	CCONJ
app01-10637	161	32	the	the	DET
app01-10637	161	33	road	road	NOUN
app01-10637	161	34	[	[	X
app01-10637	161	35	14	14	NUM
app01-10637	161	36	]	]	X
app01-10637	161	37	deep	deep	ADJ
app01-10637	161	38	learning	learning	NOUN
app01-10637	161	39	–	–	PUNCT
app01-10637	161	40	perclos	perclo	NOUN
app01-10637	161	41	,	,	PUNCT
app01-10637	161	42	fom	fom	NOUN
app01-10637	161	43	,	,	PUNCT
app01-10637	161	44	em	em	PRON
app01-10637	161	45	98.3	98.3	NUM
app01-10637	161	46	%	%	NOUN
app01-10637	161	47	recognising	recognise	VERB
app01-10637	161	48	fatigue	fatigue	NOUN
app01-10637	161	49	with	with	ADP
app01-10637	161	50	deep	deep	ADJ
app01-10637	161	51	learning	learning	NOUN
app01-10637	161	52	[	[	X
app01-10637	161	53	12	12	NUM
app01-10637	161	54	]	]	PUNCT
app01-10637	161	55	svm	svm	VERB
app01-10637	161	56	98.3	98.3	NUM
app01-10637	161	57	%	%	NOUN
app01-10637	161	58	measuring	measure	VERB
app01-10637	161	59	fatigue	fatigue	NOUN
app01-10637	161	60	on	on	ADP
app01-10637	161	61	the	the	DET
app01-10637	161	62	kss	kss	PROPN
app01-10637	161	63	scale	scale	NOUN
app01-10637	161	64	using	use	VERB
app01-10637	161	65	a	a	DET
app01-10637	161	66	wearable	wearable	ADJ
app01-10637	161	67	bracelet	bracelet	NOUN
app01-10637	162	1	[	[	X
app01-10637	162	2	13	13	NUM
app01-10637	162	3	]	]	PUNCT
app01-10637	162	4	cascaded	cascade	VERB
app01-10637	162	5	network	network	NOUN
app01-10637	162	6	framework	framework	NOUN
app01-10637	162	7	98.1	98.1	NUM
app01-10637	162	8	%	%	NOUN
app01-10637	162	9	eye	eye	NOUN
app01-10637	162	10	condition	condition	NOUN
app01-10637	162	11	detection	detection	NOUN
app01-10637	162	12	with	with	ADP
app01-10637	162	13	different	different	ADJ
app01-10637	162	14	image	image	NOUN
app01-10637	162	15	quality	quality	NOUN
app01-10637	162	16	[	[	X
app01-10637	162	17	10	10	NUM
app01-10637	162	18	]	]	X
app01-10637	162	19	perclos	perclo	VERB
app01-10637	162	20	95	95	NUM
app01-10637	162	21	%	%	NOUN
app01-10637	162	22	effect	effect	NOUN
app01-10637	162	23	of	of	ADP
app01-10637	162	24	contrast	contrast	NOUN
app01-10637	162	25	and	and	CCONJ
app01-10637	162	26	lighting	lighting	NOUN
app01-10637	162	27	conditions	condition	NOUN
app01-10637	162	28	on	on	ADP
app01-10637	162	29	eye	eye	NOUN
app01-10637	162	30	condition	condition	NOUN
app01-10637	162	31	detection	detection	NOUN
app01-10637	162	32	[	[	X
app01-10637	162	33	11	11	NUM
app01-10637	162	34	]	]	SYM
app01-10637	162	35	perclos	perclo	NOUN
app01-10637	162	36	,	,	PUNCT
app01-10637	162	37	edge	edge	NOUN
app01-10637	162	38	detection	detection	NOUN
app01-10637	162	39	72.66–94.36	72.66–94.36	NUM
app01-10637	162	40	%	%	NOUN
app01-10637	162	41	recognition	recognition	NOUN
app01-10637	162	42	of	of	ADP
app01-10637	162	43	three	three	NUM
app01-10637	162	44	eye	eye	NOUN
app01-10637	162	45	conditions	condition	NOUN
app01-10637	162	46	for	for	ADP
app01-10637	162	47	people	people	NOUN
app01-10637	162	48	with	with	ADP
app01-10637	162	49	and	and	CCONJ
app01-10637	162	50	without	without	ADP
app01-10637	162	51	glasses	glass	NOUN
app01-10637	162	52	[	[	X
app01-10637	162	53	9	9	NUM
app01-10637	162	54	]	]	PUNCT
app01-10637	162	55	ear	ear	NOUN
app01-10637	162	56	,	,	PUNCT
app01-10637	162	57	mar	mar	PROPN
app01-10637	162	58	,	,	PUNCT
app01-10637	162	59	hand	hand	VERB
app01-10637	162	60	gestures	gesture	NOUN
app01-10637	162	61	92.75	92.75	NUM
app01-10637	162	62	%	%	NOUN
app01-10637	162	63	recognition	recognition	NOUN
app01-10637	162	64	of	of	ADP
app01-10637	162	65	yawning	yawn	VERB
app01-10637	162	66	even	even	ADV
app01-10637	162	67	if	if	SCONJ
app01-10637	162	68	the	the	DET
app01-10637	162	69	hand	hand	NOUN
app01-10637	162	70	is	be	AUX
app01-10637	162	71	in	in	ADP
app01-10637	162	72	front	front	NOUN
app01-10637	162	73	of	of	ADP
app01-10637	162	74	the	the	DET
app01-10637	162	75	face	face	NOUN
app01-10637	163	1	[	[	X
app01-10637	163	2	8	8	NUM
app01-10637	163	3	]	]	PUNCT
app01-10637	163	4	perclos	perclo	VERB
app01-10637	163	5	90	90	NUM
app01-10637	163	6	%	%	NOUN
app01-10637	163	7	correlation	correlation	NOUN
app01-10637	163	8	with	with	ADP
app01-10637	163	9	the	the	DET
app01-10637	163	10	pvt	pvt	PROPN
app01-10637	163	11	and	and	CCONJ
app01-10637	163	12	the	the	DET
app01-10637	163	13	subjective	subjective	ADJ
app01-10637	163	14	fatigue	fatigue	NOUN
app01-10637	163	15	questionnaire	questionnaire	NOUN
app01-10637	164	1	[	[	X
app01-10637	164	2	5	5	X
app01-10637	164	3	]	]	PUNCT
app01-10637	164	4	monitoring	monitoring	NOUN
app01-10637	164	5	of	of	ADP
app01-10637	164	6	respiration	respiration	NOUN
app01-10637	164	7	rate	rate	NOUN
app01-10637	164	8	90	90	NUM
app01-10637	164	9	%	%	NOUN
app01-10637	164	10	camera	camera	NOUN
app01-10637	164	11	tracking	tracking	NOUN
app01-10637	164	12	of	of	ADP
app01-10637	164	13	chest	chest	NOUN
app01-10637	164	14	movement	movement	NOUN
app01-10637	164	15	–	–	PUNCT
app01-10637	164	16	correlation	correlation	NOUN
app01-10637	164	17	with	with	ADP
app01-10637	164	18	plethysmography	plethysmography	NOUN
app01-10637	164	19	band	band	NOUN
app01-10637	164	20	results	result	NOUN
app01-10637	164	21	[	[	X
app01-10637	164	22	7	7	X
app01-10637	164	23	]	]	SYM
app01-10637	164	24	rr	rr	NOUN
app01-10637	164	25	interval	interval	NOUN
app01-10637	164	26	86	86	NUM
app01-10637	164	27	%	%	NOUN
app01-10637	164	28	correlation	correlation	NOUN
app01-10637	164	29	with	with	ADP
app01-10637	164	30	the	the	DET
app01-10637	164	31	pvt	pvt	PROPN
app01-10637	164	32	and	and	CCONJ
app01-10637	164	33	the	the	DET
app01-10637	164	34	subjective	subjective	ADJ
app01-10637	164	35	fatigue	fatigue	NOUN
app01-10637	164	36	questionnaire	questionnaire	NOUN
app01-10637	165	1	[	[	X
app01-10637	165	2	5	5	NUM
app01-10637	165	3	]	]	PUNCT
app01-10637	165	4	eyetracking	eyetracking	NOUN
app01-10637	165	5	,	,	PUNCT
app01-10637	165	6	monitoring	monitoring	NOUN
app01-10637	165	7	of	of	ADP
app01-10637	165	8	vehicle	vehicle	NOUN
app01-10637	165	9	parameters	parameter	NOUN
app01-10637	165	10	87.2	87.2	NUM
app01-10637	165	11	%	%	NOUN
app01-10637	165	12	finding	find	VERB
app01-10637	165	13	the	the	DET
app01-10637	165	14	correlation	correlation	NOUN
app01-10637	165	15	between	between	ADP
app01-10637	165	16	eyetracking	eyetracking	NOUN
app01-10637	165	17	and	and	CCONJ
app01-10637	165	18	driving	drive	VERB
app01-10637	165	19	(	(	PUNCT
app01-10637	165	20	e.g.	e.g.	ADV
app01-10637	165	21	turning	turn	VERB
app01-10637	165	22	)	)	PUNCT
app01-10637	166	1	[	[	X
app01-10637	166	2	15	15	NUM
app01-10637	166	3	]	]	PUNCT
app01-10637	166	4	response	response	NOUN
app01-10637	166	5	time	time	NOUN
app01-10637	166	6	monitoring	monitoring	NOUN
app01-10637	166	7	–	–	PUNCT
app01-10637	166	8	monitoring	monitor	VERB
app01-10637	166	9	the	the	DET
app01-10637	166	10	effect	effect	NOUN
app01-10637	166	11	of	of	ADP
app01-10637	166	12	fatigue	fatigue	NOUN
app01-10637	166	13	and	and	CCONJ
app01-10637	166	14	drowsiness	drowsiness	NOUN
app01-10637	166	15	on	on	ADP
app01-10637	166	16	driver	driver	NOUN
app01-10637	166	17	reaction	reaction	NOUN
app01-10637	166	18	time	time	NOUN
app01-10637	166	19	[	[	X
app01-10637	166	20	6	6	NUM
app01-10637	166	21	]	]	SYM
app01-10637	166	22	table	table	NOUN
app01-10637	166	23	3	3	NUM
app01-10637	166	24	.	.	PUNCT
app01-10637	166	25	methods	method	NOUN
app01-10637	166	26	and	and	CCONJ
app01-10637	166	27	their	their	PRON
app01-10637	166	28	accuracies	accuracy	NOUN
app01-10637	166	29	expressed	express	VERB
app01-10637	166	30	as	as	ADP
app01-10637	166	31	a	a	DET
app01-10637	166	32	percentage	percentage	NOUN
app01-10637	166	33	in	in	ADP
app01-10637	166	34	measuring	measure	VERB
app01-10637	166	35	fatigue	fatigue	NOUN
app01-10637	166	36	.	.	PUNCT
app01-10637	167	1	4.2	4.2	NUM
app01-10637	167	2	.	.	PUNCT
app01-10637	167	3	results	result	NOUN
app01-10637	167	4	of	of	ADP
app01-10637	167	5	the	the	DET
app01-10637	167	6	questionnaire	questionnaire	NOUN
app01-10637	167	7	the	the	DET
app01-10637	167	8	questionnaire	questionnaire	NOUN
app01-10637	167	9	got	get	VERB
app01-10637	167	10	answers	answer	NOUN
app01-10637	167	11	from	from	ADP
app01-10637	167	12	108	108	NUM
app01-10637	167	13	respondents	respondent	NOUN
app01-10637	167	14	,	,	PUNCT
app01-10637	167	15	with	with	ADP
app01-10637	167	16	a	a	DET
app01-10637	167	17	distribution	distribution	NOUN
app01-10637	167	18	of	of	ADP
app01-10637	167	19	46	46	NUM
app01-10637	167	20	women	woman	NOUN
app01-10637	167	21	and	and	CCONJ
app01-10637	167	22	62	62	NUM
app01-10637	167	23	men	man	NOUN
app01-10637	167	24	.	.	PUNCT
app01-10637	168	1	figure	figure	VERB
app01-10637	168	2	4	4	NUM
app01-10637	168	3	shows	show	VERB
app01-10637	168	4	the	the	DET
app01-10637	168	5	gender	gender	NOUN
app01-10637	168	6	division	division	NOUN
app01-10637	168	7	of	of	ADP
app01-10637	168	8	respondents	respondent	NOUN
app01-10637	168	9	.	.	PUNCT
app01-10637	169	1	53	53	NUM
app01-10637	169	2	%	%	NOUN
app01-10637	169	3	of	of	ADP
app01-10637	169	4	respondents	respondent	NOUN
app01-10637	169	5	belong	belong	VERB
app01-10637	169	6	into	into	ADP
app01-10637	169	7	the	the	DET
app01-10637	169	8	age	age	NOUN
app01-10637	169	9	group	group	NOUN
app01-10637	169	10	18–27	18–27	NUM
app01-10637	169	11	,	,	PUNCT
app01-10637	169	12	the	the	DET
app01-10637	169	13	second	second	ADJ
app01-10637	169	14	most	most	ADV
app01-10637	169	15	populated	populated	ADJ
app01-10637	169	16	group	group	NOUN
app01-10637	169	17	is	be	AUX
app01-10637	169	18	28–37	28–37	NOUN
app01-10637	169	19	years	year	NOUN
app01-10637	169	20	old	old	ADJ
app01-10637	169	21	.	.	PUNCT
app01-10637	170	1	figure	figure	NOUN
app01-10637	170	2	5	5	NUM
app01-10637	170	3	shows	show	VERB
app01-10637	170	4	the	the	DET
app01-10637	170	5	representation	representation	NOUN
app01-10637	170	6	of	of	ADP
app01-10637	170	7	age	age	NOUN
app01-10637	170	8	groups	group	NOUN
app01-10637	170	9	.	.	PUNCT
app01-10637	171	1	figure	figure	VERB
app01-10637	171	2	4	4	NUM
app01-10637	171	3	.	.	PUNCT
app01-10637	171	4	gender	gender	NOUN
app01-10637	171	5	division	division	NOUN
app01-10637	171	6	of	of	ADP
app01-10637	171	7	participants	participant	NOUN
app01-10637	171	8	.	.	PUNCT
app01-10637	172	1	figure	figure	VERB
app01-10637	172	2	5	5	NUM
app01-10637	172	3	.	.	PUNCT
app01-10637	173	1	the	the	DET
app01-10637	173	2	strongest	strong	ADJ
app01-10637	173	3	represented	represent	VERB
app01-10637	173	4	age	age	NOUN
app01-10637	173	5	group	group	NOUN
app01-10637	173	6	of	of	ADP
app01-10637	173	7	respondents	respondent	NOUN
app01-10637	173	8	is	be	AUX
app01-10637	173	9	18–27	18–27	NUM
app01-10637	173	10	.	.	PUNCT
app01-10637	174	1	important	important	ADJ
app01-10637	174	2	experience	experience	NOUN
app01-10637	174	3	indicator	indicator	NOUN
app01-10637	174	4	in	in	ADP
app01-10637	174	5	drivers	driver	NOUN
app01-10637	174	6	is	be	AUX
app01-10637	174	7	their	their	PRON
app01-10637	174	8	annual	annual	ADJ
app01-10637	174	9	kilometres	kilometre	NOUN
app01-10637	174	10	driven	drive	VERB
app01-10637	174	11	.	.	PUNCT
app01-10637	175	1	contrary	contrary	ADJ
app01-10637	175	2	to	to	ADP
app01-10637	175	3	expectations	expectation	NOUN
app01-10637	175	4	that	that	PRON
app01-10637	175	5	come	come	VERB
app01-10637	175	6	form	form	VERB
app01-10637	175	7	the	the	DET
app01-10637	175	8	age	age	NOUN
app01-10637	175	9	group	group	NOUN
app01-10637	175	10	division	division	NOUN
app01-10637	175	11	(	(	PUNCT
app01-10637	175	12	figure	figure	NOUN
app01-10637	175	13	5	5	NUM
app01-10637	175	14	)	)	PUNCT
app01-10637	175	15	,	,	PUNCT
app01-10637	175	16	most	most	ADJ
app01-10637	175	17	respondents	respondent	NOUN
app01-10637	175	18	replied	reply	VERB
app01-10637	175	19	,	,	PUNCT
app01-10637	175	20	that	that	SCONJ
app01-10637	175	21	their	their	PRON
app01-10637	175	22	annual	annual	ADJ
app01-10637	175	23	mileage	mileage	NOUN
app01-10637	175	24	is	be	AUX
app01-10637	175	25	more	more	ADJ
app01-10637	175	26	than	than	ADP
app01-10637	175	27	10	10	NUM
app01-10637	175	28	000	000	NUM
app01-10637	175	29	kilometres	kilometre	NOUN
app01-10637	175	30	.	.	PUNCT
app01-10637	176	1	annual	annual	ADJ
app01-10637	176	2	kilometres	kilometre	NOUN
app01-10637	176	3	driven	drive	VERB
app01-10637	176	4	overview	overview	NOUN
app01-10637	176	5	can	can	AUX
app01-10637	176	6	be	be	AUX
app01-10637	176	7	found	find	VERB
app01-10637	176	8	in	in	ADP
app01-10637	176	9	the	the	DET
app01-10637	176	10	figure	figure	NOUN
app01-10637	176	11	6	6	NUM
app01-10637	176	12	.	.	PUNCT
app01-10637	176	13	figure	figure	VERB
app01-10637	176	14	6	6	NUM
app01-10637	176	15	.	.	PUNCT
app01-10637	177	1	majority	majority	NOUN
app01-10637	177	2	of	of	ADP
app01-10637	177	3	respondents	respondent	NOUN
app01-10637	177	4	drive	drive	VERB
app01-10637	177	5	more	more	ADJ
app01-10637	177	6	than	than	ADP
app01-10637	177	7	10	10	NUM
app01-10637	177	8	000	000	NUM
app01-10637	177	9	km	km	NOUN
app01-10637	177	10	annually	annually	ADV
app01-10637	177	11	.	.	PUNCT
app01-10637	178	1	when	when	SCONJ
app01-10637	178	2	looking	look	VERB
app01-10637	178	3	at	at	ADP
app01-10637	178	4	figure	figure	NOUN
app01-10637	178	5	7	7	NUM
app01-10637	178	6	,	,	PUNCT
app01-10637	178	7	one	one	PRON
app01-10637	178	8	can	can	AUX
app01-10637	178	9	see	see	VERB
app01-10637	178	10	that	that	SCONJ
app01-10637	178	11	55	55	NUM
app01-10637	178	12	%	%	NOUN
app01-10637	178	13	of	of	ADP
app01-10637	178	14	the	the	DET
app01-10637	178	15	respondents	respondent	NOUN
app01-10637	178	16	knew	know	VERB
app01-10637	178	17	about	about	ADP
app01-10637	178	18	interior	interior	ADJ
app01-10637	178	19	camera	camera	NOUN
app01-10637	178	20	prior	prior	ADV
app01-10637	178	21	to	to	ADP
app01-10637	178	22	the	the	DET
app01-10637	178	23	questionnaire	questionnaire	NOUN
app01-10637	178	24	.	.	PUNCT
app01-10637	179	1	when	when	SCONJ
app01-10637	179	2	asked	ask	VERB
app01-10637	179	3	about	about	ADP
app01-10637	179	4	the	the	DET
app01-10637	179	5	source	source	NOUN
app01-10637	179	6	of	of	ADP
app01-10637	179	7	the	the	DET
app01-10637	179	8	information	information	NOUN
app01-10637	179	9	,	,	PUNCT
app01-10637	179	10	most	most	ADJ
app01-10637	179	11	of	of	ADP
app01-10637	179	12	them	they	PRON
app01-10637	179	13	stated	state	VERB
app01-10637	179	14	that	that	SCONJ
app01-10637	179	15	they	they	PRON
app01-10637	179	16	got	get	VERB
app01-10637	179	17	their	their	PRON
app01-10637	179	18	information	information	NOUN
app01-10637	179	19	on	on	ADP
app01-10637	179	20	the	the	DET
app01-10637	179	21	internet	internet	NOUN
app01-10637	179	22	(	(	PUNCT
app01-10637	179	23	figure	figure	NOUN
app01-10637	179	24	8)	8)	NUM
app01-10637	179	25	.	.	PUNCT
app01-10637	180	1	figure	figure	NOUN
app01-10637	180	2	7	7	NUM
app01-10637	180	3	.	.	PUNCT
app01-10637	181	1	more	more	ADJ
app01-10637	181	2	than	than	ADP
app01-10637	181	3	half	half	NOUN
app01-10637	181	4	of	of	ADP
app01-10637	181	5	the	the	DET
app01-10637	181	6	respondents	respondent	NOUN
app01-10637	181	7	had	have	VERB
app01-10637	181	8	some	some	DET
app01-10637	181	9	prior	prior	ADJ
app01-10637	181	10	knowledge	knowledge	NOUN
app01-10637	181	11	about	about	ADP
app01-10637	181	12	the	the	DET
app01-10637	181	13	interior	interior	ADJ
app01-10637	181	14	camera	camera	NOUN
app01-10637	181	15	.	.	PUNCT
app01-10637	182	1	the	the	DET
app01-10637	182	2	vehicle	vehicle	NOUN
app01-10637	182	3	age	age	NOUN
app01-10637	182	4	could	could	AUX
app01-10637	182	5	indicate	indicate	VERB
app01-10637	182	6	whether	whether	SCONJ
app01-10637	182	7	the	the	DET
app01-10637	182	8	respondent	respondent	NOUN
app01-10637	182	9	is	be	AUX
app01-10637	182	10	planning	plan	VERB
app01-10637	182	11	on	on	ADP
app01-10637	182	12	buying	buy	VERB
app01-10637	182	13	a	a	DET
app01-10637	182	14	new	new	ADJ
app01-10637	182	15	vehicle	vehicle	NOUN
app01-10637	182	16	,	,	PUNCT
app01-10637	182	17	51	51	NUM
app01-10637	182	18	%	%	NOUN
app01-10637	182	19	indicated	indicate	VERB
app01-10637	182	20	that	that	SCONJ
app01-10637	182	21	their	their	PRON
app01-10637	182	22	vehicle	vehicle	NOUN
app01-10637	182	23	is	be	AUX
app01-10637	182	24	older	old	ADJ
app01-10637	182	25	than	than	ADP
app01-10637	182	26	8	8	NUM
app01-10637	182	27	years	year	NOUN
app01-10637	182	28	(	(	PUNCT
app01-10637	182	29	figure	figure	NOUN
app01-10637	182	30	9	9	NUM
app01-10637	182	31	)	)	PUNCT
app01-10637	182	32	.	.	PUNCT
app01-10637	183	1	the	the	DET
app01-10637	183	2	new	new	ADJ
app01-10637	183	3	vehicle	vehicle	NOUN
app01-10637	183	4	,	,	PUNCT
app01-10637	183	5	will	will	AUX
app01-10637	183	6	be	be	AUX
app01-10637	183	7	most	most	ADV
app01-10637	183	8	probably	probably	ADV
app01-10637	183	9	equipped	equip	VERB
app01-10637	183	10	with	with	ADP
app01-10637	183	11	the	the	DET
app01-10637	183	12	interior	interior	ADJ
app01-10637	183	13	camera	camera	NOUN
app01-10637	183	14	.	.	PUNCT
app01-10637	184	1	in	in	ADP
app01-10637	184	2	relation	relation	NOUN
app01-10637	184	3	to	to	ADP
app01-10637	184	4	this	this	DET
app01-10637	184	5	question	question	NOUN
app01-10637	184	6	,	,	PUNCT
app01-10637	184	7	respondents	respondent	NOUN
app01-10637	184	8	were	be	AUX
app01-10637	184	9	asked	ask	VERB
app01-10637	184	10	whether	whether	SCONJ
app01-10637	184	11	the	the	DET
app01-10637	184	12	presence	presence	NOUN
app01-10637	184	13	of	of	ADP
app01-10637	184	14	the	the	DET
app01-10637	184	15	54	54	NUM
app01-10637	184	16	vol	vol	NOUN
app01-10637	184	17	.	.	PUNCT
app01-10637	185	1	52/2025	52/2025	NUM
app01-10637	185	2	driver	driver	NOUN
app01-10637	185	3	drowsiness	drowsiness	NOUN
app01-10637	185	4	and	and	CCONJ
app01-10637	185	5	fatigue	fatigue	NOUN
app01-10637	185	6	with	with	ADP
app01-10637	185	7	interior	interior	ADJ
app01-10637	185	8	camera	camera	NOUN
app01-10637	185	9	figure	figure	NOUN
app01-10637	185	10	8	8	NUM
app01-10637	185	11	.	.	PUNCT
app01-10637	185	12	source	source	NOUN
app01-10637	185	13	of	of	ADP
app01-10637	185	14	information	information	NOUN
app01-10637	185	15	about	about	ADP
app01-10637	185	16	the	the	DET
app01-10637	185	17	interior	interior	ADJ
app01-10637	185	18	camera	camera	NOUN
app01-10637	185	19	.	.	PUNCT
app01-10637	186	1	figure	figure	NOUN
app01-10637	186	2	9	9	NUM
app01-10637	186	3	.	.	PUNCT
app01-10637	186	4	almost	almost	ADV
app01-10637	186	5	a	a	DET
app01-10637	186	6	half	half	NOUN
app01-10637	186	7	of	of	ADP
app01-10637	186	8	respondents	respondent	NOUN
app01-10637	186	9	have	have	VERB
app01-10637	186	10	a	a	DET
app01-10637	186	11	car	car	NOUN
app01-10637	186	12	that	that	PRON
app01-10637	186	13	is	be	AUX
app01-10637	186	14	8	8	NUM
app01-10637	186	15	years	year	NOUN
app01-10637	186	16	or	or	CCONJ
app01-10637	186	17	older	old	ADJ
app01-10637	186	18	.	.	PUNCT
app01-10637	187	1	interior	interior	ADJ
app01-10637	187	2	camera	camera	NOUN
app01-10637	187	3	would	would	AUX
app01-10637	187	4	affect	affect	VERB
app01-10637	187	5	their	their	PRON
app01-10637	187	6	choice	choice	NOUN
app01-10637	187	7	.	.	PUNCT
app01-10637	188	1	as	as	SCONJ
app01-10637	188	2	figure	figure	NOUN
app01-10637	188	3	10	10	NUM
app01-10637	188	4	depicts	depict	NOUN
app01-10637	188	5	,	,	PUNCT
app01-10637	188	6	only	only	ADV
app01-10637	188	7	8	8	NUM
app01-10637	188	8	%	%	NOUN
app01-10637	188	9	of	of	ADP
app01-10637	188	10	respondents	respondent	NOUN
app01-10637	188	11	said	say	VERB
app01-10637	188	12	,	,	PUNCT
app01-10637	188	13	that	that	SCONJ
app01-10637	188	14	they	they	PRON
app01-10637	188	15	would	would	AUX
app01-10637	188	16	have	have	VERB
app01-10637	188	17	not	not	PART
app01-10637	188	18	any	any	DET
app01-10637	188	19	problem	problem	NOUN
app01-10637	188	20	with	with	ADP
app01-10637	188	21	the	the	DET
app01-10637	188	22	presence	presence	NOUN
app01-10637	188	23	of	of	ADP
app01-10637	188	24	interior	interior	ADJ
app01-10637	188	25	camera	camera	NOUN
app01-10637	188	26	.	.	PUNCT
app01-10637	189	1	the	the	DET
app01-10637	189	2	rest	rest	NOUN
app01-10637	189	3	of	of	ADP
app01-10637	189	4	the	the	DET
app01-10637	189	5	respondents	respondent	NOUN
app01-10637	189	6	said	say	VERB
app01-10637	189	7	they	they	PRON
app01-10637	189	8	would	would	AUX
app01-10637	189	9	rather	rather	ADV
app01-10637	189	10	buy	buy	VERB
app01-10637	189	11	an	an	DET
app01-10637	189	12	old	old	ADJ
app01-10637	189	13	car	car	NOUN
app01-10637	189	14	instead	instead	ADV
app01-10637	189	15	or	or	CCONJ
app01-10637	189	16	the	the	DET
app01-10637	189	17	presence	presence	NOUN
app01-10637	189	18	of	of	ADP
app01-10637	189	19	interior	interior	ADJ
app01-10637	189	20	camera	camera	NOUN
app01-10637	189	21	would	would	AUX
app01-10637	189	22	not	not	PART
app01-10637	189	23	be	be	AUX
app01-10637	189	24	a	a	DET
app01-10637	189	25	factor	factor	NOUN
app01-10637	189	26	when	when	SCONJ
app01-10637	189	27	choosing	choose	VERB
app01-10637	189	28	a	a	DET
app01-10637	189	29	new	new	ADJ
app01-10637	189	30	vehicle	vehicle	NOUN
app01-10637	189	31	.	.	PUNCT
app01-10637	190	1	figure	figure	NOUN
app01-10637	190	2	10	10	NUM
app01-10637	190	3	.	.	PUNCT
app01-10637	191	1	the	the	DET
app01-10637	191	2	presence	presence	NOUN
app01-10637	191	3	of	of	ADP
app01-10637	191	4	interior	interior	ADJ
app01-10637	191	5	camera	camera	NOUN
app01-10637	191	6	would	would	AUX
app01-10637	191	7	make	make	VERB
app01-10637	191	8	a	a	DET
app01-10637	191	9	significant	significant	ADJ
app01-10637	191	10	factor	factor	NOUN
app01-10637	191	11	for	for	ADP
app01-10637	191	12	46	46	NUM
app01-10637	191	13	%	%	NOUN
app01-10637	191	14	of	of	ADP
app01-10637	191	15	respondents	respondent	NOUN
app01-10637	191	16	when	when	SCONJ
app01-10637	191	17	picking	pick	VERB
app01-10637	191	18	a	a	DET
app01-10637	191	19	new	new	ADJ
app01-10637	191	20	car	car	NOUN
app01-10637	191	21	.	.	PUNCT
app01-10637	192	1	along	along	ADP
app01-10637	192	2	with	with	ADP
app01-10637	192	3	the	the	DET
app01-10637	192	4	increased	increase	VERB
app01-10637	192	5	safety	safety	NOUN
app01-10637	192	6	on	on	ADP
app01-10637	192	7	the	the	DET
app01-10637	192	8	road	road	NOUN
app01-10637	192	9	while	while	SCONJ
app01-10637	192	10	using	use	VERB
app01-10637	192	11	interior	interior	ADJ
app01-10637	192	12	camera	camera	NOUN
app01-10637	192	13	,	,	PUNCT
app01-10637	192	14	the	the	DET
app01-10637	192	15	question	question	NOUN
app01-10637	192	16	of	of	ADP
app01-10637	192	17	one	one	NUM
app01-10637	192	18	’s	’s	PART
app01-10637	192	19	privacy	privacy	NOUN
app01-10637	192	20	comes	come	VERB
app01-10637	192	21	to	to	ADP
app01-10637	192	22	mind	mind	NOUN
app01-10637	192	23	.	.	PUNCT
app01-10637	193	1	the	the	DET
app01-10637	193	2	respondents	respondent	NOUN
app01-10637	193	3	were	be	AUX
app01-10637	193	4	asked	ask	VERB
app01-10637	193	5	to	to	PART
app01-10637	193	6	rate	rate	VERB
app01-10637	193	7	on	on	ADP
app01-10637	193	8	a	a	DET
app01-10637	193	9	scale	scale	NOUN
app01-10637	193	10	from	from	ADP
app01-10637	193	11	one	one	NUM
app01-10637	193	12	to	to	ADP
app01-10637	193	13	ten	ten	NUM
app01-10637	193	14	,	,	PUNCT
app01-10637	193	15	whether	whether	SCONJ
app01-10637	193	16	they	they	PRON
app01-10637	193	17	felt	feel	VERB
app01-10637	193	18	their	their	PRON
app01-10637	193	19	privacy	privacy	NOUN
app01-10637	193	20	would	would	AUX
app01-10637	193	21	be	be	AUX
app01-10637	193	22	invaded	invade	VERB
app01-10637	193	23	.	.	PUNCT
app01-10637	194	1	figure	figure	VERB
app01-10637	194	2	11	11	NUM
app01-10637	194	3	shows	show	VERB
app01-10637	194	4	respondents	respondent	NOUN
app01-10637	194	5	’	'	PUNCT
app01-10637	194	6	rating	rating	NOUN
app01-10637	194	7	of	of	ADP
app01-10637	194	8	privacy	privacy	NOUN
app01-10637	194	9	risks	risk	NOUN
app01-10637	194	10	when	when	SCONJ
app01-10637	194	11	interior	interior	ADJ
app01-10637	194	12	camera	camera	NOUN
app01-10637	194	13	is	be	AUX
app01-10637	194	14	installed	instal	VERB
app01-10637	194	15	.	.	PUNCT
app01-10637	195	1	figure	figure	NOUN
app01-10637	195	2	11	11	NUM
app01-10637	195	3	.	.	PUNCT
app01-10637	196	1	number	number	NOUN
app01-10637	196	2	1	1	NUM
app01-10637	196	3	on	on	ADP
app01-10637	196	4	the	the	DET
app01-10637	196	5	scale	scale	NOUN
app01-10637	196	6	suggests	suggest	VERB
app01-10637	196	7	the	the	DET
app01-10637	196	8	respondents	respondent	NOUN
app01-10637	196	9	find	find	VERB
app01-10637	196	10	interior	interior	ADJ
app01-10637	196	11	camera	camera	NOUN
app01-10637	196	12	as	as	ADP
app01-10637	196	13	an	an	DET
app01-10637	196	14	invasion	invasion	NOUN
app01-10637	196	15	of	of	ADP
app01-10637	196	16	privacy	privacy	NOUN
app01-10637	196	17	while	while	SCONJ
app01-10637	196	18	number	number	NOUN
app01-10637	196	19	10	10	NUM
app01-10637	196	20	suggests	suggest	VERB
app01-10637	196	21	the	the	DET
app01-10637	196	22	opposite	opposite	NOUN
app01-10637	196	23	.	.	PUNCT
app01-10637	197	1	respondents	respondent	NOUN
app01-10637	197	2	were	be	AUX
app01-10637	197	3	also	also	ADV
app01-10637	197	4	asked	ask	VERB
app01-10637	197	5	to	to	PART
app01-10637	197	6	evaluate	evaluate	VERB
app01-10637	197	7	on	on	ADP
app01-10637	197	8	scale	scale	NOUN
app01-10637	197	9	from	from	ADP
app01-10637	197	10	1	1	NUM
app01-10637	197	11	to	to	ADP
app01-10637	197	12	10	10	NUM
app01-10637	197	13	the	the	DET
app01-10637	197	14	increase	increase	NOUN
app01-10637	197	15	of	of	ADP
app01-10637	197	16	their	their	PRON
app01-10637	197	17	safety	safety	NOUN
app01-10637	197	18	they	they	PRON
app01-10637	197	19	fell	fall	VERB
app01-10637	197	20	would	would	AUX
app01-10637	197	21	interior	interior	ADJ
app01-10637	197	22	camera	camera	NOUN
app01-10637	197	23	deliver	deliver	NOUN
app01-10637	197	24	.	.	PUNCT
app01-10637	198	1	figure	figure	VERB
app01-10637	198	2	12	12	NUM
app01-10637	198	3	depicts	depict	NOUN
app01-10637	198	4	the	the	DET
app01-10637	198	5	respondents	respondent	NOUN
app01-10637	198	6	’	'	PUNCT
app01-10637	198	7	answers	answer	NOUN
app01-10637	198	8	to	to	ADP
app01-10637	198	9	this	this	DET
app01-10637	198	10	question	question	NOUN
app01-10637	198	11	.	.	PUNCT
app01-10637	199	1	figure	figure	NOUN
app01-10637	199	2	12	12	NUM
app01-10637	199	3	.	.	PUNCT
app01-10637	200	1	number	number	NOUN
app01-10637	200	2	1	1	NUM
app01-10637	200	3	on	on	ADP
app01-10637	200	4	the	the	DET
app01-10637	200	5	scale	scale	NOUN
app01-10637	200	6	suggests	suggest	VERB
app01-10637	200	7	the	the	DET
app01-10637	200	8	respondents	respondent	NOUN
app01-10637	200	9	believe	believe	VERB
app01-10637	200	10	there	there	PRON
app01-10637	200	11	would	would	AUX
app01-10637	200	12	be	be	AUX
app01-10637	200	13	no	no	DET
app01-10637	200	14	increase	increase	NOUN
app01-10637	200	15	in	in	ADP
app01-10637	200	16	their	their	PRON
app01-10637	200	17	safety	safety	NOUN
app01-10637	200	18	when	when	SCONJ
app01-10637	200	19	interior	interior	ADJ
app01-10637	200	20	camera	camera	NOUN
app01-10637	200	21	is	be	AUX
app01-10637	200	22	installed	instal	VERB
app01-10637	200	23	,	,	PUNCT
app01-10637	200	24	number	number	NOUN
app01-10637	200	25	10	10	NUM
app01-10637	200	26	suggests	suggest	VERB
app01-10637	200	27	otherwise	otherwise	ADV
app01-10637	200	28	.	.	PUNCT
app01-10637	201	1	5	5	X
app01-10637	201	2	.	.	X
app01-10637	201	3	conclusion	conclusion	VERB
app01-10637	201	4	the	the	DET
app01-10637	201	5	results	result	NOUN
app01-10637	201	6	of	of	ADP
app01-10637	201	7	the	the	DET
app01-10637	201	8	research	research	NOUN
app01-10637	201	9	suggest	suggest	VERB
app01-10637	201	10	that	that	SCONJ
app01-10637	201	11	more	more	ADJ
app01-10637	201	12	data	datum	NOUN
app01-10637	201	13	sources	source	NOUN
app01-10637	201	14	are	be	AUX
app01-10637	201	15	needed	need	VERB
app01-10637	201	16	to	to	PART
app01-10637	201	17	be	be	AUX
app01-10637	201	18	used	use	VERB
app01-10637	201	19	in	in	ADP
app01-10637	201	20	moving	move	VERB
app01-10637	201	21	towards	towards	ADP
app01-10637	201	22	the	the	DET
app01-10637	201	23	development	development	NOUN
app01-10637	201	24	of	of	ADP
app01-10637	201	25	methods	method	NOUN
app01-10637	201	26	for	for	ADP
app01-10637	201	27	the	the	DET
app01-10637	201	28	recognition	recognition	NOUN
app01-10637	201	29	of	of	ADP
app01-10637	201	30	fatigue	fatigue	NOUN
app01-10637	201	31	,	,	PUNCT
app01-10637	201	32	sleepiness	sleepiness	NOUN
app01-10637	201	33	and	and	CCONJ
app01-10637	201	34	attention	attention	NOUN
app01-10637	201	35	.	.	PUNCT
app01-10637	202	1	the	the	DET
app01-10637	202	2	method	method	NOUN
app01-10637	202	3	then	then	ADV
app01-10637	202	4	becomes	become	VERB
app01-10637	202	5	more	more	ADV
app01-10637	202	6	accurate	accurate	ADJ
app01-10637	202	7	and	and	CCONJ
app01-10637	202	8	robust	robust	ADJ
app01-10637	202	9	when	when	SCONJ
app01-10637	202	10	applied	apply	VERB
app01-10637	202	11	.	.	PUNCT
app01-10637	203	1	when	when	SCONJ
app01-10637	203	2	selecting	select	VERB
app01-10637	203	3	data	datum	NOUN
app01-10637	203	4	sources	source	NOUN
app01-10637	203	5	,	,	PUNCT
app01-10637	203	6	the	the	DET
app01-10637	203	7	compactness	compactness	NOUN
app01-10637	203	8	of	of	ADP
app01-10637	203	9	each	each	DET
app01-10637	203	10	measurement	measurement	NOUN
app01-10637	203	11	method	method	NOUN
app01-10637	203	12	needs	need	VERB
app01-10637	203	13	to	to	PART
app01-10637	203	14	be	be	AUX
app01-10637	203	15	considered	consider	VERB
app01-10637	203	16	so	so	SCONJ
app01-10637	203	17	that	that	SCONJ
app01-10637	203	18	the	the	DET
app01-10637	203	19	correlations	correlation	NOUN
app01-10637	203	20	sought	seek	VERB
app01-10637	203	21	between	between	ADP
app01-10637	203	22	them	they	PRON
app01-10637	203	23	are	be	AUX
app01-10637	203	24	as	as	ADV
app01-10637	203	25	unambiguous	unambiguous	ADJ
app01-10637	203	26	as	as	ADP
app01-10637	203	27	possible	possible	ADJ
app01-10637	203	28	.	.	PUNCT
app01-10637	204	1	the	the	DET
app01-10637	204	2	questionnaire	questionnaire	NOUN
app01-10637	204	3	received	receive	VERB
app01-10637	204	4	responses	response	NOUN
app01-10637	204	5	from	from	ADP
app01-10637	204	6	108	108	NUM
app01-10637	204	7	respondents	respondent	NOUN
app01-10637	204	8	,	,	PUNCT
app01-10637	204	9	with	with	ADP
app01-10637	204	10	a	a	DET
app01-10637	204	11	mix	mix	NOUN
app01-10637	204	12	of	of	ADP
app01-10637	204	13	42.6	42.6	NUM
app01-10637	204	14	%	%	NOUN
app01-10637	204	15	female	female	ADJ
app01-10637	204	16	and	and	CCONJ
app01-10637	204	17	57.4	57.4	NUM
app01-10637	204	18	%	%	NOUN
app01-10637	204	19	male	male	NOUN
app01-10637	204	20	across	across	ADP
app01-10637	204	21	all	all	DET
app01-10637	204	22	age	age	NOUN
app01-10637	204	23	groups	group	NOUN
app01-10637	204	24	.	.	PUNCT
app01-10637	205	1	when	when	SCONJ
app01-10637	205	2	asked	ask	VERB
app01-10637	205	3	about	about	ADP
app01-10637	205	4	their	their	PRON
app01-10637	205	5	driving	drive	VERB
app01-10637	205	6	experience	experience	NOUN
app01-10637	205	7	,	,	PUNCT
app01-10637	205	8	almost	almost	ADV
app01-10637	205	9	half	half	NOUN
app01-10637	205	10	of	of	ADP
app01-10637	205	11	the	the	DET
app01-10637	205	12	respondents	respondent	NOUN
app01-10637	205	13	reported	report	VERB
app01-10637	205	14	driving	drive	VERB
app01-10637	205	15	more	more	ADJ
app01-10637	205	16	than	than	ADP
app01-10637	205	17	10	10	NUM
app01-10637	205	18	000	000	NUM
app01-10637	205	19	kilometres	kilometre	NOUN
app01-10637	205	20	per	per	ADP
app01-10637	205	21	year	year	NOUN
app01-10637	205	22	.	.	PUNCT
app01-10637	206	1	55	55	NUM
app01-10637	206	2	filip	filip	NOUN
app01-10637	206	3	kotas	kota	NOUN
app01-10637	206	4	,	,	PUNCT
app01-10637	206	5	jan	jan	PROPN
app01-10637	206	6	leistner	leistner	PROPN
app01-10637	206	7	acta	acta	PROPN
app01-10637	206	8	polytechnica	polytechnica	PROPN
app01-10637	206	9	ctu	ctu	NOUN
app01-10637	206	10	proceedings	proceeding	NOUN
app01-10637	206	11	this	this	DET
app01-10637	206	12	pool	pool	NOUN
app01-10637	206	13	of	of	ADP
app01-10637	206	14	respondents	respondent	NOUN
app01-10637	206	15	,	,	PUNCT
app01-10637	206	16	with	with	ADP
app01-10637	206	17	a	a	DET
app01-10637	206	18	majority	majority	NOUN
app01-10637	206	19	of	of	ADP
app01-10637	206	20	experienced	experienced	ADJ
app01-10637	206	21	drivers	driver	NOUN
app01-10637	206	22	,	,	PUNCT
app01-10637	206	23	provided	provide	VERB
app01-10637	206	24	a	a	DET
app01-10637	206	25	unique	unique	ADJ
app01-10637	206	26	insight	insight	NOUN
app01-10637	206	27	into	into	ADP
app01-10637	206	28	the	the	DET
app01-10637	206	29	opinion	opinion	NOUN
app01-10637	206	30	on	on	ADP
app01-10637	206	31	an	an	DET
app01-10637	206	32	interior	interior	ADJ
app01-10637	206	33	camera	camera	NOUN
app01-10637	206	34	.	.	PUNCT
app01-10637	207	1	when	when	SCONJ
app01-10637	207	2	asked	ask	VERB
app01-10637	207	3	about	about	ADP
app01-10637	207	4	drivers	driver	NOUN
app01-10637	207	5	’	’	PART
app01-10637	207	6	privacy	privacy	NOUN
app01-10637	207	7	and	and	CCONJ
app01-10637	207	8	security	security	NOUN
app01-10637	207	9	concerns	concern	NOUN
app01-10637	207	10	,	,	PUNCT
app01-10637	207	11	the	the	DET
app01-10637	207	12	average	average	ADJ
app01-10637	207	13	privacy	privacy	NOUN
app01-10637	207	14	risk	risk	NOUN
app01-10637	207	15	rating	rating	NOUN
app01-10637	207	16	was	be	AUX
app01-10637	207	17	5.13	5.13	NUM
app01-10637	207	18	out	out	ADP
app01-10637	207	19	of	of	ADP
app01-10637	207	20	10	10	NUM
app01-10637	207	21	,	,	PUNCT
app01-10637	207	22	where	where	SCONJ
app01-10637	207	23	10	10	NUM
app01-10637	207	24	means	mean	VERB
app01-10637	207	25	respondents	respondent	NOUN
app01-10637	207	26	were	be	AUX
app01-10637	207	27	not	not	PART
app01-10637	207	28	at	at	ADV
app01-10637	207	29	all	all	ADV
app01-10637	207	30	concerned	concerned	ADJ
app01-10637	207	31	about	about	ADP
app01-10637	207	32	privacy	privacy	NOUN
app01-10637	207	33	intrusion	intrusion	NOUN
app01-10637	207	34	.	.	PUNCT
app01-10637	208	1	regarding	regard	VERB
app01-10637	208	2	the	the	DET
app01-10637	208	3	increase	increase	NOUN
app01-10637	208	4	of	of	ADP
app01-10637	208	5	security	security	NOUN
app01-10637	208	6	of	of	ADP
app01-10637	208	7	passengers	passenger	NOUN
app01-10637	208	8	while	while	SCONJ
app01-10637	208	9	using	use	VERB
app01-10637	208	10	the	the	DET
app01-10637	208	11	interior	interior	ADJ
app01-10637	208	12	camera	camera	NOUN
app01-10637	208	13	the	the	DET
app01-10637	208	14	average	average	ADJ
app01-10637	208	15	rating	rating	NOUN
app01-10637	208	16	was	be	AUX
app01-10637	208	17	6.1	6.1	NUM
app01-10637	208	18	out	out	ADP
app01-10637	208	19	of	of	ADP
app01-10637	208	20	10	10	NUM
app01-10637	208	21	where	where	SCONJ
app01-10637	208	22	10	10	NUM
app01-10637	208	23	means	mean	VERB
app01-10637	208	24	the	the	DET
app01-10637	208	25	respondents	respondent	NOUN
app01-10637	208	26	felt	feel	VERB
app01-10637	208	27	that	that	SCONJ
app01-10637	208	28	interior	interior	ADJ
app01-10637	208	29	camera	camera	NOUN
app01-10637	208	30	would	would	AUX
app01-10637	208	31	greatly	greatly	ADV
app01-10637	208	32	increase	increase	VERB
app01-10637	208	33	their	their	PRON
app01-10637	208	34	safety	safety	NOUN
app01-10637	208	35	while	while	SCONJ
app01-10637	208	36	driving	drive	VERB
app01-10637	208	37	.	.	PUNCT
app01-10637	209	1	the	the	DET
app01-10637	209	2	final	final	ADJ
app01-10637	209	3	part	part	NOUN
app01-10637	209	4	of	of	ADP
app01-10637	209	5	this	this	DET
app01-10637	209	6	questionnaire	questionnaire	NOUN
app01-10637	209	7	was	be	AUX
app01-10637	209	8	aimed	aim	VERB
app01-10637	209	9	at	at	ADP
app01-10637	209	10	those	those	PRON
app01-10637	209	11	who	who	PRON
app01-10637	209	12	were	be	AUX
app01-10637	209	13	likely	likely	ADJ
app01-10637	209	14	to	to	PART
app01-10637	209	15	buy	buy	VERB
app01-10637	209	16	a	a	DET
app01-10637	209	17	new	new	ADJ
app01-10637	209	18	car	car	NOUN
app01-10637	209	19	soon	soon	ADV
app01-10637	209	20	.	.	PUNCT
app01-10637	210	1	the	the	DET
app01-10637	210	2	main	main	ADJ
app01-10637	210	3	question	question	NOUN
app01-10637	210	4	was	be	AUX
app01-10637	210	5	whether	whether	SCONJ
app01-10637	210	6	the	the	DET
app01-10637	210	7	presence	presence	NOUN
app01-10637	210	8	of	of	ADP
app01-10637	210	9	an	an	DET
app01-10637	210	10	interior	interior	ADJ
app01-10637	210	11	camera	camera	NOUN
app01-10637	210	12	would	would	AUX
app01-10637	210	13	influence	influence	VERB
app01-10637	210	14	respondents	respondent	NOUN
app01-10637	210	15	’	'	PUNCT
app01-10637	210	16	choice	choice	NOUN
app01-10637	210	17	of	of	ADP
app01-10637	210	18	vehicle	vehicle	NOUN
app01-10637	210	19	.	.	PUNCT
app01-10637	211	1	most	most	ADJ
app01-10637	211	2	respondents	respondent	NOUN
app01-10637	211	3	said	say	VERB
app01-10637	211	4	that	that	SCONJ
app01-10637	211	5	the	the	DET
app01-10637	211	6	presence	presence	NOUN
app01-10637	211	7	of	of	ADP
app01-10637	211	8	an	an	DET
app01-10637	211	9	interior	interior	ADJ
app01-10637	211	10	camera	camera	NOUN
app01-10637	211	11	would	would	AUX
app01-10637	211	12	not	not	PART
app01-10637	211	13	be	be	AUX
app01-10637	211	14	a	a	DET
app01-10637	211	15	priority	priority	NOUN
app01-10637	211	16	when	when	SCONJ
app01-10637	211	17	choosing	choose	VERB
app01-10637	211	18	a	a	DET
app01-10637	211	19	new	new	ADJ
app01-10637	211	20	car	car	NOUN
app01-10637	211	21	,	,	PUNCT
app01-10637	211	22	while	while	SCONJ
app01-10637	211	23	38	38	NUM
app01-10637	211	24	%	%	NOUN
app01-10637	211	25	said	say	VERB
app01-10637	211	26	that	that	SCONJ
app01-10637	211	27	the	the	DET
app01-10637	211	28	presence	presence	NOUN
app01-10637	211	29	of	of	ADP
app01-10637	211	30	the	the	DET
app01-10637	211	31	camera	camera	NOUN
app01-10637	211	32	would	would	AUX
app01-10637	211	33	bother	bother	VERB
app01-10637	211	34	them	they	PRON
app01-10637	211	35	and	and	CCONJ
app01-10637	211	36	that	that	SCONJ
app01-10637	211	37	they	they	PRON
app01-10637	211	38	would	would	AUX
app01-10637	211	39	rather	rather	ADV
app01-10637	211	40	choose	choose	VERB
app01-10637	211	41	an	an	DET
app01-10637	211	42	older	old	ADJ
app01-10637	211	43	car	car	NOUN
app01-10637	211	44	without	without	ADP
app01-10637	211	45	this	this	DET
app01-10637	211	46	feature	feature	NOUN
app01-10637	211	47	.	.	PUNCT
app01-10637	212	1	only	only	ADV
app01-10637	212	2	8	8	NUM
app01-10637	212	3	%	%	NOUN
app01-10637	212	4	of	of	ADP
app01-10637	212	5	respondents	respondent	NOUN
app01-10637	212	6	said	say	VERB
app01-10637	212	7	they	they	PRON
app01-10637	212	8	would	would	AUX
app01-10637	212	9	not	not	PART
app01-10637	212	10	mind	mind	VERB
app01-10637	212	11	having	have	VERB
app01-10637	212	12	an	an	DET
app01-10637	212	13	interior	interior	ADJ
app01-10637	212	14	camera	camera	NOUN
app01-10637	212	15	in	in	ADP
app01-10637	212	16	their	their	PRON
app01-10637	212	17	new	new	ADJ
app01-10637	212	18	car	car	NOUN
app01-10637	212	19	.	.	PUNCT
app01-10637	213	1	although	although	SCONJ
app01-10637	213	2	the	the	DET
app01-10637	213	3	majority	majority	NOUN
app01-10637	213	4	part	part	NOUN
app01-10637	213	5	of	of	ADP
app01-10637	213	6	respondents	respondent	NOUN
app01-10637	213	7	knew	know	VERB
app01-10637	213	8	about	about	ADP
app01-10637	213	9	the	the	DET
app01-10637	213	10	interior	interior	ADJ
app01-10637	213	11	camera	camera	NOUN
app01-10637	213	12	prior	prior	ADV
app01-10637	213	13	to	to	ADP
app01-10637	213	14	this	this	DET
app01-10637	213	15	questionnaire	questionnaire	NOUN
app01-10637	213	16	,	,	PUNCT
app01-10637	213	17	the	the	DET
app01-10637	213	18	overall	overall	ADJ
app01-10637	213	19	level	level	NOUN
app01-10637	213	20	of	of	ADP
app01-10637	213	21	information	information	NOUN
app01-10637	213	22	seems	seem	VERB
app01-10637	213	23	to	to	PART
app01-10637	213	24	be	be	AUX
app01-10637	213	25	only	only	ADV
app01-10637	213	26	scratching	scratch	VERB
app01-10637	213	27	the	the	DET
app01-10637	213	28	surface	surface	NOUN
app01-10637	213	29	.	.	PUNCT
app01-10637	214	1	in	in	ADP
app01-10637	214	2	order	order	NOUN
app01-10637	214	3	to	to	PART
app01-10637	214	4	prevent	prevent	VERB
app01-10637	214	5	some	some	DET
app01-10637	214	6	misinformation	misinformation	NOUN
app01-10637	214	7	about	about	ADP
app01-10637	214	8	the	the	DET
app01-10637	214	9	data	data	NOUN
app01-10637	214	10	privacy	privacy	NOUN
app01-10637	214	11	,	,	PUNCT
app01-10637	214	12	which	which	PRON
app01-10637	214	13	seems	seem	VERB
app01-10637	214	14	to	to	PART
app01-10637	214	15	be	be	AUX
app01-10637	214	16	the	the	DET
app01-10637	214	17	biggest	big	ADJ
app01-10637	214	18	issue	issue	NOUN
app01-10637	214	19	with	with	ADP
app01-10637	214	20	the	the	DET
app01-10637	214	21	respondents	respondent	NOUN
app01-10637	214	22	,	,	PUNCT
app01-10637	214	23	the	the	DET
app01-10637	214	24	car	car	NOUN
app01-10637	214	25	manufacturers	manufacturer	NOUN
app01-10637	214	26	ought	ought	AUX
app01-10637	214	27	to	to	PART
app01-10637	214	28	spread	spread	VERB
app01-10637	214	29	the	the	DET
app01-10637	214	30	information	information	NOUN
app01-10637	214	31	among	among	ADP
app01-10637	214	32	customers	customer	NOUN
app01-10637	214	33	with	with	ADP
app01-10637	214	34	advertising	advertising	NOUN
app01-10637	214	35	campaigns	campaign	NOUN
app01-10637	214	36	or	or	CCONJ
app01-10637	214	37	through	through	ADP
app01-10637	214	38	social	social	ADJ
app01-10637	214	39	media	medium	NOUN
app01-10637	214	40	.	.	PUNCT
app01-10637	215	1	the	the	DET
app01-10637	215	2	lack	lack	NOUN
app01-10637	215	3	of	of	ADP
app01-10637	215	4	this	this	DET
app01-10637	215	5	information	information	NOUN
app01-10637	215	6	can	can	AUX
app01-10637	215	7	lead	lead	VERB
app01-10637	215	8	to	to	ADP
app01-10637	215	9	a	a	DET
app01-10637	215	10	negative	negative	ADJ
app01-10637	215	11	view	view	NOUN
app01-10637	215	12	on	on	ADP
app01-10637	215	13	the	the	DET
app01-10637	215	14	technology	technology	NOUN
app01-10637	215	15	.	.	PUNCT
app01-10637	216	1	the	the	DET
app01-10637	216	2	next	next	ADJ
app01-10637	216	3	step	step	NOUN
app01-10637	216	4	in	in	ADP
app01-10637	216	5	this	this	DET
app01-10637	216	6	topic	topic	NOUN
app01-10637	216	7	could	could	AUX
app01-10637	216	8	be	be	AUX
app01-10637	216	9	to	to	PART
app01-10637	216	10	develop	develop	VERB
app01-10637	216	11	a	a	DET
app01-10637	216	12	method	method	NOUN
app01-10637	216	13	to	to	PART
app01-10637	216	14	recognize	recognize	VERB
app01-10637	216	15	desired	desire	VERB
app01-10637	216	16	states	state	NOUN
app01-10637	216	17	and	and	CCONJ
app01-10637	216	18	test	test	VERB
app01-10637	216	19	it	it	PRON
app01-10637	216	20	in	in	ADP
app01-10637	216	21	both	both	CCONJ
app01-10637	216	22	laboratory	laboratory	NOUN
app01-10637	216	23	and	and	CCONJ
app01-10637	216	24	real	real	ADJ
app01-10637	216	25	-	-	PUNCT
app01-10637	216	26	world	world	NOUN
app01-10637	216	27	conditions	condition	NOUN
app01-10637	216	28	.	.	PUNCT
app01-10637	217	1	regarding	regard	VERB
app01-10637	217	2	public	public	ADJ
app01-10637	217	3	awareness	awareness	NOUN
app01-10637	217	4	,	,	PUNCT
app01-10637	217	5	the	the	DET
app01-10637	217	6	next	next	ADJ
app01-10637	217	7	approach	approach	NOUN
app01-10637	217	8	could	could	AUX
app01-10637	217	9	be	be	AUX
app01-10637	217	10	to	to	PART
app01-10637	217	11	create	create	VERB
app01-10637	217	12	another	another	DET
app01-10637	217	13	questionnaire	questionnaire	NOUN
app01-10637	217	14	for	for	ADP
app01-10637	217	15	the	the	DET
app01-10637	217	16	public	public	NOUN
app01-10637	217	17	,	,	PUNCT
app01-10637	217	18	but	but	CCONJ
app01-10637	217	19	this	this	DET
app01-10637	217	20	time	time	NOUN
app01-10637	217	21	focusing	focus	VERB
app01-10637	217	22	on	on	ADP
app01-10637	217	23	the	the	DET
app01-10637	217	24	interest	interest	NOUN
app01-10637	217	25	and	and	CCONJ
app01-10637	217	26	opinion	opinion	NOUN
app01-10637	217	27	about	about	ADP
app01-10637	217	28	the	the	DET
app01-10637	217	29	different	different	ADJ
app01-10637	217	30	features	feature	NOUN
app01-10637	217	31	of	of	ADP
app01-10637	217	32	the	the	DET
app01-10637	217	33	system	system	NOUN
app01-10637	217	34	that	that	PRON
app01-10637	217	35	will	will	AUX
app01-10637	217	36	be	be	AUX
app01-10637	217	37	implemented	implement	VERB
app01-10637	217	38	in	in	ADP
app01-10637	217	39	the	the	DET
app01-10637	217	40	vehicles	vehicle	NOUN
app01-10637	217	41	.	.	PUNCT
app01-10637	218	1	references	reference	NOUN
app01-10637	218	2	[	[	X
app01-10637	218	3	1	1	NUM
app01-10637	218	4	]	]	X
app01-10637	218	5	drowsy	drowsy	NOUN
app01-10637	218	6	driving	driving	NOUN
app01-10637	218	7	,	,	PUNCT
app01-10637	218	8	2022	2022	NUM
app01-10637	218	9	.	.	PUNCT
app01-10637	219	1	[	[	X
app01-10637	219	2	2024	2024	NUM
app01-10637	219	3	-	-	SYM
app01-10637	219	4	10	10	NUM
app01-10637	219	5	-	-	NUM
app01-10637	219	6	03	03	NUM
app01-10637	219	7	]	]	PUNCT
app01-10637	219	8	.	.	PUNCT
app01-10637	220	1	https	https	NOUN
app01-10637	220	2	:	:	PUNCT
app01-10637	220	3	//www.nhtsa.gov	//www.nhtsa.gov	PUNCT
app01-10637	220	4	/	/	SYM
app01-10637	220	5	risky	risky	ADV
app01-10637	220	6	-	-	PUNCT
app01-10637	220	7	driving	drive	VERB
app01-10637	220	8	/	/	SYM
app01-10637	220	9	drowsy	drowsy	NOUN
app01-10637	220	10	-	-	PUNCT
app01-10637	220	11	driving	driving	NOUN
app01-10637	220	12	[	[	X
app01-10637	220	13	2	2	NUM
app01-10637	220	14	]	]	PUNCT
app01-10637	220	15	t.	t.	PROPN
app01-10637	220	16	akerstedt	akerstedt	PROPN
app01-10637	220	17	,	,	PUNCT
app01-10637	220	18	c.	c.	PROPN
app01-10637	220	19	bassetti	bassetti	PROPN
app01-10637	220	20	,	,	PUNCT
app01-10637	220	21	f.	f.	PROPN
app01-10637	220	22	cirignotta	cirignotta	PROPN
app01-10637	220	23	,	,	PUNCT
app01-10637	220	24	et	et	PROPN
app01-10637	220	25	al	al	PROPN
app01-10637	220	26	.	.	PROPN
app01-10637	220	27	sleeping	sleep	VERB
app01-10637	220	28	at	at	ADP
app01-10637	220	29	the	the	DET
app01-10637	220	30	wheel	wheel	NOUN
app01-10637	220	31	.	.	PUNCT
app01-10637	221	1	cloître	cloître	PROPN
app01-10637	221	2	imprim	imprim	PROPN
app01-10637	221	3	,	,	PUNCT
app01-10637	221	4	2013	2013	NUM
app01-10637	221	5	.	.	PUNCT
app01-10637	222	1	[	[	X
app01-10637	222	2	2024	2024	NUM
app01-10637	222	3	-	-	SYM
app01-10637	222	4	10	10	NUM
app01-10637	222	5	-	-	NUM
app01-10637	222	6	03	03	NUM
app01-10637	222	7	]	]	PUNCT
app01-10637	222	8	.	.	PUNCT
app01-10637	223	1	https://esrs.eu/wp-content/uploads/	https://esrs.eu/wp-content/uploads/	NOUN
app01-10637	223	2	2018/09	2018/09	NUM
app01-10637	223	3	/	/	SYM
app01-10637	223	4	livre_blanc_va_v4.pdf	livre_blanc_va_v4.pdf	PROPN
app01-10637	223	5	[	[	X
app01-10637	223	6	3	3	NUM
app01-10637	223	7	]	]	PUNCT
app01-10637	223	8	m.	m.	NOUN
app01-10637	223	9	madrigal	madrigal	PROPN
app01-10637	223	10	.	.	PUNCT
app01-10637	224	1	feeling	feel	VERB
app01-10637	224	2	drowsy	drowsy	NOUN
app01-10637	224	3	?	?	PUNCT
app01-10637	225	1	an	an	DET
app01-10637	225	2	in	in	ADP
app01-10637	225	3	-	-	PUNCT
app01-10637	225	4	depth	depth	NOUN
app01-10637	225	5	look	look	NOUN
app01-10637	225	6	at	at	ADP
app01-10637	225	7	perclos	perclo	NOUN
app01-10637	225	8	for	for	ADP
app01-10637	225	9	driver	driver	NOUN
app01-10637	225	10	drowsiness	drowsiness	NOUN
app01-10637	225	11	detection	detection	NOUN
app01-10637	225	12	,	,	PUNCT
app01-10637	225	13	2023	2023	NUM
app01-10637	225	14	.	.	PUNCT
app01-10637	226	1	[	[	X
app01-10637	226	2	2024	2024	NUM
app01-10637	226	3	-	-	SYM
app01-10637	226	4	10	10	NUM
app01-10637	226	5	-	-	NUM
app01-10637	226	6	03	03	NUM
app01-10637	226	7	]	]	PUNCT
app01-10637	226	8	.	.	PUNCT
app01-10637	227	1	https://www.ridgerun.ai/post/	https://www.ridgerun.ai/post/	VERB
app01-10637	227	2	perclos	perclo	NOUN
app01-10637	227	3	-	-	PUNCT
app01-10637	227	4	for	for	ADP
app01-10637	227	5	-	-	PUNCT
app01-10637	227	6	driver	driver	NOUN
app01-10637	227	7	-	-	PUNCT
app01-10637	227	8	drowsiness	drowsiness	NOUN
app01-10637	227	9	-	-	PUNCT
app01-10637	227	10	detection	detection	NOUN
app01-10637	227	11	[	[	X
app01-10637	227	12	4	4	NUM
app01-10637	227	13	]	]	X
app01-10637	227	14	c.	c.	PROPN
app01-10637	227	15	dewi	dewi	PROPN
app01-10637	227	16	,	,	PUNCT
app01-10637	227	17	r.-c	r.-c	PROPN
app01-10637	227	18	.	.	PUNCT
app01-10637	228	1	chen	chen	PROPN
app01-10637	228	2	,	,	PUNCT
app01-10637	228	3	c.-w	c.-w	PROPN
app01-10637	228	4	.	.	PUNCT
app01-10637	229	1	chang	chang	PROPN
app01-10637	229	2	,	,	PUNCT
app01-10637	229	3	et	et	PROPN
app01-10637	229	4	al	al	PROPN
app01-10637	229	5	.	.	PUNCT
app01-10637	230	1	eye	eye	NOUN
app01-10637	230	2	aspect	aspect	PROPN
app01-10637	230	3	ratio	ratio	NOUN
app01-10637	230	4	for	for	ADP
app01-10637	230	5	real	real	ADJ
app01-10637	230	6	-	-	PUNCT
app01-10637	230	7	time	time	NOUN
app01-10637	230	8	drowsiness	drowsiness	NOUN
app01-10637	230	9	detection	detection	NOUN
app01-10637	230	10	to	to	PART
app01-10637	230	11	improve	improve	VERB
app01-10637	230	12	driver	driver	NOUN
app01-10637	230	13	safety	safety	NOUN
app01-10637	230	14	.	.	PUNCT
app01-10637	231	1	electronics	electronic	NOUN
app01-10637	231	2	11(19):3183	11(19):3183	NUM
app01-10637	231	3	,	,	PUNCT
app01-10637	231	4	2022	2022	NUM
app01-10637	231	5	.	.	PUNCT
app01-10637	231	6	https://doi.org/10.3390/electronics11193183	https://doi.org/10.3390/electronics11193183	X
app01-10637	232	1	[	[	X
app01-10637	232	2	5	5	NUM
app01-10637	232	3	]	]	PUNCT
app01-10637	232	4	e.	e.	PROPN
app01-10637	232	5	c.-p	c.-p	PROPN
app01-10637	232	6	.	.	PUNCT
app01-10637	233	1	chua	chua	PROPN
app01-10637	233	2	,	,	PUNCT
app01-10637	233	3	w.-q	w.-q	PROPN
app01-10637	233	4	.	.	PUNCT
app01-10637	234	1	tan	tan	PROPN
app01-10637	234	2	,	,	PUNCT
app01-10637	234	3	s.-c	s.-c	PROPN
app01-10637	234	4	.	.	PUNCT
app01-10637	235	1	yeo	yeo	PROPN
app01-10637	235	2	,	,	PUNCT
app01-10637	235	3	et	et	PROPN
app01-10637	235	4	al	al	PROPN
app01-10637	235	5	.	.	PUNCT
app01-10637	236	1	heart	heart	NOUN
app01-10637	236	2	rate	rate	NOUN
app01-10637	236	3	variability	variability	NOUN
app01-10637	236	4	can	can	AUX
app01-10637	236	5	be	be	AUX
app01-10637	236	6	used	use	VERB
app01-10637	236	7	to	to	PART
app01-10637	236	8	estimate	estimate	VERB
app01-10637	236	9	sleepiness	sleepiness	NOUN
app01-10637	236	10	-	-	PUNCT
app01-10637	236	11	related	relate	VERB
app01-10637	236	12	decrements	decrement	NOUN
app01-10637	236	13	in	in	ADP
app01-10637	236	14	psychomotor	psychomotor	NOUN
app01-10637	236	15	vigilance	vigilance	NOUN
app01-10637	236	16	during	during	ADP
app01-10637	236	17	total	total	ADJ
app01-10637	236	18	sleep	sleep	NOUN
app01-10637	236	19	deprivation	deprivation	NOUN
app01-10637	236	20	.	.	PUNCT
app01-10637	237	1	sleep	sleep	NOUN
app01-10637	237	2	35(3):325–334	35(3):325–334	NUM
app01-10637	237	3	,	,	PUNCT
app01-10637	237	4	2012	2012	NUM
app01-10637	237	5	.	.	PUNCT
app01-10637	238	1	https://doi.org/10.5665/sleep.1688	https://doi.org/10.5665/sleep.1688	NOUN
app01-10637	239	1	[	[	X
app01-10637	239	2	6	6	NUM
app01-10637	239	3	]	]	PUNCT
app01-10637	239	4	z.	z.	PROPN
app01-10637	239	5	zhang	zhang	PROPN
app01-10637	239	6	.	.	PUNCT
app01-10637	240	1	study	study	NOUN
app01-10637	240	2	on	on	ADP
app01-10637	240	3	the	the	DET
app01-10637	240	4	influence	influence	NOUN
app01-10637	240	5	of	of	ADP
app01-10637	240	6	driving	drive	VERB
app01-10637	240	7	fatigue	fatigue	NOUN
app01-10637	240	8	on	on	ADP
app01-10637	240	9	drivers	driver	NOUN
app01-10637	240	10	’	'	PUNCT
app01-10637	240	11	effective	effective	ADJ
app01-10637	240	12	reaction	reaction	NOUN
app01-10637	240	13	time	time	NOUN
app01-10637	240	14	.	.	PUNCT
app01-10637	241	1	in	in	ADP
app01-10637	241	2	2022	2022	NUM
app01-10637	241	3	10th	10th	ADJ
app01-10637	241	4	international	international	ADJ
app01-10637	241	5	conference	conference	NOUN
app01-10637	241	6	on	on	ADP
app01-10637	241	7	traffic	traffic	NOUN
app01-10637	241	8	and	and	CCONJ
app01-10637	241	9	logistic	logistic	ADJ
app01-10637	241	10	engineering	engineering	NOUN
app01-10637	241	11	(	(	PUNCT
app01-10637	241	12	ictle	ictle	NOUN
app01-10637	241	13	)	)	PUNCT
app01-10637	241	14	,	,	PUNCT
app01-10637	241	15	pp	pp	ADJ
app01-10637	241	16	.	.	PUNCT
app01-10637	242	1	89–94	89–94	NUM
app01-10637	242	2	.	.	PUNCT
app01-10637	243	1	ieee	ieee	NOUN
app01-10637	243	2	,	,	PUNCT
app01-10637	243	3	2022	2022	NUM
app01-10637	243	4	.	.	PUNCT
app01-10637	244	1	https://doi.org/10.1109/ictle55577.2022.9902106	https://doi.org/10.1109/ictle55577.2022.9902106	NOUN
app01-10637	245	1	[	[	X
app01-10637	245	2	7	7	X
app01-10637	245	3	]	]	X
app01-10637	245	4	j.	j.	PROPN
app01-10637	245	5	solaz	solaz	PROPN
app01-10637	245	6	,	,	PUNCT
app01-10637	245	7	j.	j.	PROPN
app01-10637	245	8	laparra	laparra	PROPN
app01-10637	245	9	-	-	PUNCT
app01-10637	245	10	hernández	hernández	PROPN
app01-10637	245	11	,	,	PUNCT
app01-10637	245	12	d.	d.	PROPN
app01-10637	245	13	bande	bande	PROPN
app01-10637	245	14	,	,	PUNCT
app01-10637	245	15	et	et	PROPN
app01-10637	245	16	al	al	PROPN
app01-10637	245	17	.	.	PROPN
app01-10637	245	18	drowsiness	drowsiness	PROPN
app01-10637	245	19	detection	detection	NOUN
app01-10637	245	20	based	base	VERB
app01-10637	245	21	on	on	ADP
app01-10637	245	22	the	the	DET
app01-10637	245	23	analysis	analysis	NOUN
app01-10637	245	24	of	of	ADP
app01-10637	245	25	breathing	breathing	NOUN
app01-10637	245	26	rate	rate	NOUN
app01-10637	245	27	obtained	obtain	VERB
app01-10637	245	28	from	from	ADP
app01-10637	245	29	real	real	ADJ
app01-10637	245	30	-	-	PUNCT
app01-10637	245	31	time	time	NOUN
app01-10637	245	32	image	image	NOUN
app01-10637	245	33	recognition	recognition	NOUN
app01-10637	245	34	.	.	PUNCT
app01-10637	246	1	transportation	transportation	NOUN
app01-10637	246	2	research	research	NOUN
app01-10637	246	3	procedia	procedia	PROPN
app01-10637	246	4	14:3867–3876	14:3867–3876	NUM
app01-10637	246	5	,	,	PUNCT
app01-10637	246	6	2016	2016	NUM
app01-10637	246	7	.	.	PUNCT
app01-10637	247	1	https://doi.org/10.1016/j.trpro.2016.05.472	https://doi.org/10.1016/j.trpro.2016.05.472	PROPN
app01-10637	248	1	[	[	X
app01-10637	248	2	8	8	NUM
app01-10637	248	3	]	]	PUNCT
app01-10637	248	4	a.	a.	NOUN
app01-10637	248	5	s.	s.	PROPN
app01-10637	248	6	agarkar	agarkar	PROPN
app01-10637	248	7	,	,	PUNCT
app01-10637	248	8	r.	r.	PROPN
app01-10637	248	9	gandhiraj	gandhiraj	PROPN
app01-10637	248	10	,	,	PUNCT
app01-10637	248	11	m.	m.	NOUN
app01-10637	248	12	k.	k.	PROPN
app01-10637	248	13	panda	panda	PROPN
app01-10637	248	14	.	.	PUNCT
app01-10637	249	1	driver	driver	NOUN
app01-10637	249	2	drowsiness	drowsiness	NOUN
app01-10637	249	3	detection	detection	NOUN
app01-10637	249	4	and	and	CCONJ
app01-10637	249	5	warning	warning	NOUN
app01-10637	249	6	using	use	VERB
app01-10637	249	7	facial	facial	ADJ
app01-10637	249	8	features	feature	NOUN
app01-10637	249	9	and	and	CCONJ
app01-10637	249	10	hand	hand	NOUN
app01-10637	249	11	gestures	gesture	NOUN
app01-10637	249	12	.	.	PUNCT
app01-10637	250	1	in	in	ADP
app01-10637	250	2	2023	2023	NUM
app01-10637	250	3	2nd	2nd	ADJ
app01-10637	250	4	international	international	ADJ
app01-10637	250	5	conference	conference	NOUN
app01-10637	250	6	on	on	ADP
app01-10637	250	7	vision	vision	NOUN
app01-10637	250	8	towards	towards	ADP
app01-10637	250	9	emerging	emerge	VERB
app01-10637	250	10	trends	trend	NOUN
app01-10637	250	11	in	in	ADP
app01-10637	250	12	communication	communication	NOUN
app01-10637	250	13	and	and	CCONJ
app01-10637	250	14	networking	networking	NOUN
app01-10637	250	15	technologies	technology	NOUN
app01-10637	250	16	(	(	PUNCT
app01-10637	250	17	vitecon	vitecon	NOUN
app01-10637	250	18	)	)	PUNCT
app01-10637	250	19	,	,	PUNCT
app01-10637	250	20	pp	pp	ADP
app01-10637	250	21	.	.	PUNCT
app01-10637	251	1	1–6	1–6	NUM
app01-10637	251	2	.	.	X
app01-10637	251	3	ieee	ieee	NOUN
app01-10637	251	4	,	,	PUNCT
app01-10637	251	5	2023	2023	NUM
app01-10637	251	6	.	.	PUNCT
app01-10637	252	1	https	https	NOUN
app01-10637	252	2	:	:	PUNCT
app01-10637	252	3	//doi.org/10.1109	//doi.org/10.1109	PROPN
app01-10637	252	4	/	/	SYM
app01-10637	252	5	vitecon58111.2023.10157233	vitecon58111.2023.10157233	PROPN
app01-10637	253	1	[	[	X
app01-10637	253	2	9	9	NUM
app01-10637	253	3	]	]	PUNCT
app01-10637	253	4	j.-j	j.-j	PROPN
app01-10637	253	5	.	.	PUNCT
app01-10637	253	6	yan	yan	PROPN
app01-10637	253	7	,	,	PUNCT
app01-10637	253	8	h.-h	h.-h	NOUN
app01-10637	253	9	.	.	PUNCT
app01-10637	254	1	kuo	kuo	PROPN
app01-10637	254	2	,	,	PUNCT
app01-10637	254	3	y.-f	y.-f	PROPN
app01-10637	254	4	.	.	PUNCT
app01-10637	255	1	lin	lin	PROPN
app01-10637	255	2	,	,	PUNCT
app01-10637	255	3	t.-l	t.-l	PROPN
app01-10637	255	4	.	.	PUNCT
app01-10637	256	1	liao	liao	PROPN
app01-10637	256	2	.	.	PUNCT
app01-10637	257	1	real	real	ADJ
app01-10637	257	2	-	-	PUNCT
app01-10637	257	3	time	time	NOUN
app01-10637	257	4	driver	driver	NOUN
app01-10637	257	5	drowsiness	drowsiness	NOUN
app01-10637	257	6	detection	detection	NOUN
app01-10637	257	7	system	system	NOUN
app01-10637	257	8	based	base	VERB
app01-10637	257	9	on	on	ADP
app01-10637	257	10	perclos	perclo	NOUN
app01-10637	257	11	and	and	CCONJ
app01-10637	257	12	grayscale	grayscale	NOUN
app01-10637	257	13	image	image	NOUN
app01-10637	257	14	processing	processing	NOUN
app01-10637	257	15	.	.	PUNCT
app01-10637	258	1	pp	pp	X
app01-10637	258	2	.	.	PUNCT
app01-10637	259	1	243–246	243–246	NUM
app01-10637	259	2	.	.	PUNCT
app01-10637	259	3	ieee	ieee	PROPN
app01-10637	259	4	,	,	PUNCT
app01-10637	259	5	2016	2016	NUM
app01-10637	259	6	.	.	PUNCT
app01-10637	260	1	https://doi.org/10.1109/is3c.2016.72	https://doi.org/10.1109/is3c.2016.72	NOUN
app01-10637	261	1	[	[	X
app01-10637	261	2	10	10	NUM
app01-10637	261	3	]	]	X
app01-10637	261	4	n.	n.	NOUN
app01-10637	261	5	t.	t.	PROPN
app01-10637	261	6	singh	singh	PROPN
app01-10637	261	7	,	,	PUNCT
app01-10637	261	8	saurav	saurav	PROPN
app01-10637	261	9	,	,	PUNCT
app01-10637	261	10	n.	n.	PROPN
app01-10637	261	11	pathak	pathak	PROPN
app01-10637	261	12	,	,	PUNCT
app01-10637	261	13	et	et	PROPN
app01-10637	261	14	al	al	PROPN
app01-10637	261	15	.	.	PUNCT
app01-10637	262	1	real	real	ADJ
app01-10637	262	2	-	-	PUNCT
app01-10637	262	3	time	time	NOUN
app01-10637	262	4	driver	driver	NOUN
app01-10637	262	5	drowsiness	drowsiness	NOUN
app01-10637	262	6	detection	detection	NOUN
app01-10637	262	7	system	system	NOUN
app01-10637	262	8	using	use	VERB
app01-10637	262	9	cascaded	cascade	VERB
app01-10637	262	10	convnet	convnet	NOUN
app01-10637	262	11	framework	framework	NOUN
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app01-10637	263	2	2023	2023	NUM
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app01-10637	269	5	conference	conference	NOUN
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app01-10637	269	8	,	,	PUNCT
app01-10637	269	9	robotics	robotic	NOUN
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app01-10637	271	2	,	,	PUNCT
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app01-10637	277	2	tools	tool	NOUN
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app01-10637	277	6	,	,	PUNCT
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app01-10637	289	5	conference	conference	NOUN
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app01-10637	289	7	dependable	dependable	ADJ
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app01-10637	294	1	https://doi.org/10.1109/icscss57650.2023.10169434	https://doi.org/10.1109/icscss57650.2023.10169434	NOUN
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app01-10637	295	10	1	1	NUM
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app01-10637	295	12	2	2	NUM
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