id	sid	tid	token	lemma	pos
ajst-32566	1	1	221	221	NUM
ajst-32566	1	2	an	an	DET
ajst-32566	1	3	analysis	analysis	NOUN
ajst-32566	1	4	of	of	ADP
ajst-32566	1	5	ai	ai	NOUN
ajst-32566	1	6	-	-	PUNCT
ajst-32566	1	7	based	base	VERB
ajst-32566	1	8	emotional	emotional	ADJ
ajst-32566	1	9	recognition	recognition	NOUN
ajst-32566	1	10	:	:	PUNCT
ajst-32566	1	11	main	main	ADJ
ajst-32566	1	12	methods	method	NOUN
ajst-32566	1	13	based	base	VERB
ajst-32566	1	14	on	on	ADP
ajst-32566	1	15	four	four	NUM
ajst-32566	1	16	modalities	modality	NOUN
ajst-32566	1	17	tian	tian	ADJ
ajst-32566	1	18	jing	jing	PROPN
ajst-32566	1	19	tianjin	tianjin	PROPN
ajst-32566	1	20	no.1	no.1	PROPN
ajst-32566	1	21	high	high	ADJ
ajst-32566	1	22	school	school	NOUN
ajst-32566	1	23	,	,	PUNCT
ajst-32566	1	24	tianjin	tianjin	PROPN
ajst-32566	1	25	,	,	PUNCT
ajst-32566	1	26	300051	300051	NUM
ajst-32566	1	27	,	,	PUNCT
ajst-32566	1	28	china	china	PROPN
ajst-32566	1	29	18622065261@163.com	18622065261@163.com	X
ajst-32566	1	30	abstract	abstract	ADJ
ajst-32566	1	31	.	.	PUNCT
ajst-32566	2	1	artificial	artificial	ADJ
ajst-32566	2	2	intelligence	intelligence	NOUN
ajst-32566	2	3	(	(	PUNCT
ajst-32566	2	4	ai	ai	NOUN
ajst-32566	2	5	)	)	PUNCT
ajst-32566	2	6	has	have	AUX
ajst-32566	2	7	become	become	VERB
ajst-32566	2	8	a	a	DET
ajst-32566	2	9	useful	useful	ADJ
ajst-32566	2	10	tool	tool	NOUN
ajst-32566	2	11	in	in	ADP
ajst-32566	2	12	human	human	ADJ
ajst-32566	2	13	emotion	emotion	NOUN
ajst-32566	2	14	recognition	recognition	NOUN
ajst-32566	2	15	,	,	PUNCT
ajst-32566	2	16	with	with	ADP
ajst-32566	2	17	a	a	DET
ajst-32566	2	18	broad	broad	ADJ
ajst-32566	2	19	application	application	NOUN
ajst-32566	2	20	range	range	NOUN
ajst-32566	2	21	.	.	PUNCT
ajst-32566	3	1	to	to	PART
ajst-32566	3	2	better	well	ADV
ajst-32566	3	3	cater	cater	VERB
ajst-32566	3	4	for	for	ADP
ajst-32566	3	5	the	the	DET
ajst-32566	3	6	applications	application	NOUN
ajst-32566	3	7	,	,	PUNCT
ajst-32566	3	8	numerous	numerous	ADJ
ajst-32566	3	9	researches	research	NOUN
ajst-32566	3	10	are	be	AUX
ajst-32566	3	11	conducted	conduct	VERB
ajst-32566	3	12	,	,	PUNCT
ajst-32566	3	13	helping	help	VERB
ajst-32566	3	14	developing	develop	VERB
ajst-32566	3	15	the	the	DET
ajst-32566	3	16	related	relate	VERB
ajst-32566	3	17	technologies	technology	NOUN
ajst-32566	3	18	rapidly	rapidly	ADV
ajst-32566	3	19	.	.	PUNCT
ajst-32566	4	1	this	this	DET
ajst-32566	4	2	review	review	NOUN
ajst-32566	4	3	broadly	broadly	ADV
ajst-32566	4	4	explores	explore	VERB
ajst-32566	4	5	the	the	DET
ajst-32566	4	6	main	main	ADJ
ajst-32566	4	7	methods	method	NOUN
ajst-32566	4	8	in	in	ADP
ajst-32566	4	9	emotion	emotion	NOUN
ajst-32566	4	10	recognition	recognition	NOUN
ajst-32566	4	11	based	base	VERB
ajst-32566	4	12	on	on	ADP
ajst-32566	4	13	ai	ai	NOUN
ajst-32566	4	14	.	.	PUNCT
ajst-32566	5	1	it	it	PRON
ajst-32566	5	2	begins	begin	VERB
ajst-32566	5	3	with	with	ADP
ajst-32566	5	4	facial	facial	ADJ
ajst-32566	5	5	emotion	emotion	NOUN
ajst-32566	5	6	recognition	recognition	NOUN
ajst-32566	5	7	(	(	PUNCT
ajst-32566	5	8	fer	fer	PROPN
ajst-32566	5	9	)	)	PUNCT
ajst-32566	5	10	,	,	PUNCT
ajst-32566	5	11	analyzing	analyze	VERB
ajst-32566	5	12	its	its	PRON
ajst-32566	5	13	general	general	ADJ
ajst-32566	5	14	working	working	NOUN
ajst-32566	5	15	flow	flow	NOUN
ajst-32566	5	16	(	(	PUNCT
ajst-32566	5	17	from	from	ADP
ajst-32566	5	18	constructing	construct	VERB
ajst-32566	5	19	database	database	NOUN
ajst-32566	5	20	to	to	ADP
ajst-32566	5	21	preprocessing	preprocesse	VERB
ajst-32566	5	22	to	to	ADP
ajst-32566	5	23	extracting	extract	VERB
ajst-32566	5	24	features	feature	NOUN
ajst-32566	5	25	to	to	ADP
ajst-32566	5	26	machine	machine	NOUN
ajst-32566	5	27	learning	learning	NOUN
ajst-32566	5	28	)	)	PUNCT
ajst-32566	5	29	.	.	PUNCT
ajst-32566	6	1	it	it	PRON
ajst-32566	6	2	is	be	AUX
ajst-32566	6	3	seen	see	VERB
ajst-32566	6	4	in	in	ADP
ajst-32566	6	5	the	the	DET
ajst-32566	6	6	following	following	NOUN
ajst-32566	6	7	that	that	SCONJ
ajst-32566	6	8	this	this	DET
ajst-32566	6	9	flow	flow	NOUN
ajst-32566	6	10	commonly	commonly	ADV
ajst-32566	6	11	applies	apply	VERB
ajst-32566	6	12	to	to	ADP
ajst-32566	6	13	other	other	ADJ
ajst-32566	6	14	three	three	NUM
ajst-32566	6	15	modalities	modality	NOUN
ajst-32566	6	16	.	.	PUNCT
ajst-32566	7	1	then	then	ADV
ajst-32566	7	2	,	,	PUNCT
ajst-32566	7	3	speech	speech	NOUN
ajst-32566	7	4	emotion	emotion	NOUN
ajst-32566	7	5	recognition	recognition	NOUN
ajst-32566	7	6	(	(	PUNCT
ajst-32566	7	7	ser	ser	NOUN
ajst-32566	7	8	)	)	PUNCT
ajst-32566	7	9	is	be	AUX
ajst-32566	7	10	briefly	briefly	ADV
ajst-32566	7	11	discussed	discuss	VERB
ajst-32566	7	12	,	,	PUNCT
ajst-32566	7	13	mainly	mainly	ADV
ajst-32566	7	14	on	on	ADP
ajst-32566	7	15	its	its	PRON
ajst-32566	7	16	feature	feature	NOUN
ajst-32566	7	17	extraction	extraction	NOUN
ajst-32566	7	18	and	and	CCONJ
ajst-32566	7	19	classification	classification	NOUN
ajst-32566	7	20	(	(	PUNCT
ajst-32566	7	21	classification	classification	NOUN
ajst-32566	7	22	is	be	AUX
ajst-32566	7	23	a	a	DET
ajst-32566	7	24	part	part	NOUN
ajst-32566	7	25	of	of	ADP
ajst-32566	7	26	machine	machine	NOUN
ajst-32566	7	27	learning	learning	NOUN
ajst-32566	7	28	)	)	PUNCT
ajst-32566	7	29	.	.	PUNCT
ajst-32566	8	1	subsequently	subsequently	ADV
ajst-32566	8	2	,	,	PUNCT
ajst-32566	8	3	emotion	emotion	NOUN
ajst-32566	8	4	recognition	recognition	NOUN
ajst-32566	8	5	from	from	ADP
ajst-32566	8	6	physiological	physiological	ADJ
ajst-32566	8	7	signals	signal	NOUN
ajst-32566	8	8	is	be	AUX
ajst-32566	8	9	deeply	deeply	ADV
ajst-32566	8	10	explored	explore	VERB
ajst-32566	8	11	,	,	PUNCT
ajst-32566	8	12	due	due	ADP
ajst-32566	8	13	to	to	ADP
ajst-32566	8	14	its	its	PRON
ajst-32566	8	15	passive	passive	ADJ
ajst-32566	8	16	nature	nature	NOUN
ajst-32566	8	17	and	and	CCONJ
ajst-32566	8	18	resistance	resistance	NOUN
ajst-32566	8	19	to	to	ADP
ajst-32566	8	20	artificial	artificial	ADJ
ajst-32566	8	21	control	control	NOUN
ajst-32566	8	22	.	.	PUNCT
ajst-32566	9	1	among	among	ADP
ajst-32566	9	2	a	a	DET
ajst-32566	9	3	variety	variety	NOUN
ajst-32566	9	4	of	of	ADP
ajst-32566	9	5	physiological	physiological	ADJ
ajst-32566	9	6	signals	signal	NOUN
ajst-32566	9	7	,	,	PUNCT
ajst-32566	9	8	the	the	DET
ajst-32566	9	9	review	review	NOUN
ajst-32566	9	10	concentrates	concentrate	VERB
ajst-32566	9	11	on	on	ADP
ajst-32566	9	12	electroencephalographic	electroencephalographic	ADJ
ajst-32566	9	13	(	(	PUNCT
ajst-32566	9	14	eeg	eeg	NOUN
ajst-32566	9	15	)	)	PUNCT
ajst-32566	9	16	and	and	CCONJ
ajst-32566	9	17	electrocardiographic	electrocardiographic	ADJ
ajst-32566	9	18	(	(	PUNCT
ajst-32566	9	19	ecg	ecg	PROPN
ajst-32566	9	20	)	)	PUNCT
ajst-32566	9	21	signals	signal	NOUN
ajst-32566	9	22	.	.	PUNCT
ajst-32566	10	1	afterwards	afterwards	ADV
ajst-32566	10	2	,	,	PUNCT
ajst-32566	10	3	textual	textual	ADJ
ajst-32566	10	4	emotion	emotion	NOUN
ajst-32566	10	5	recognition	recognition	NOUN
ajst-32566	10	6	(	(	PUNCT
ajst-32566	10	7	ter	ter	NOUN
ajst-32566	10	8	)	)	PUNCT
ajst-32566	10	9	is	be	AUX
ajst-32566	10	10	roughly	roughly	ADV
ajst-32566	10	11	introduced	introduce	VERB
ajst-32566	10	12	,	,	PUNCT
ajst-32566	10	13	outlining	outline	VERB
ajst-32566	10	14	four	four	NUM
ajst-32566	10	15	basic	basic	ADJ
ajst-32566	10	16	methods	method	NOUN
ajst-32566	10	17	based	base	VERB
ajst-32566	10	18	on	on	ADP
ajst-32566	10	19	it	it	PRON
ajst-32566	10	20	.	.	PUNCT
ajst-32566	11	1	finally	finally	ADV
ajst-32566	11	2	,	,	PUNCT
ajst-32566	11	3	the	the	DET
ajst-32566	11	4	review	review	NOUN
ajst-32566	11	5	concludes	conclude	VERB
ajst-32566	11	6	the	the	DET
ajst-32566	11	7	challenges	challenge	NOUN
ajst-32566	11	8	which	which	PRON
ajst-32566	11	9	occur	occur	VERB
ajst-32566	11	10	to	to	ADP
ajst-32566	11	11	nearly	nearly	ADV
ajst-32566	11	12	every	every	PRON
ajst-32566	11	13	experiment	experiment	NOUN
ajst-32566	11	14	regarding	regard	VERB
ajst-32566	11	15	emotion	emotion	NOUN
ajst-32566	11	16	recognition	recognition	NOUN
ajst-32566	11	17	.	.	PUNCT
ajst-32566	12	1	additionally	additionally	ADV
ajst-32566	12	2	,	,	PUNCT
ajst-32566	12	3	the	the	DET
ajst-32566	12	4	strengths	strength	NOUN
ajst-32566	12	5	and	and	CCONJ
ajst-32566	12	6	limitations	limitation	NOUN
ajst-32566	12	7	of	of	ADP
ajst-32566	12	8	each	each	DET
ajst-32566	12	9	modality	modality	NOUN
ajst-32566	12	10	are	be	AUX
ajst-32566	12	11	presented	present	VERB
ajst-32566	12	12	in	in	ADP
ajst-32566	12	13	the	the	DET
ajst-32566	12	14	discussion	discussion	NOUN
ajst-32566	12	15	module	module	NOUN
ajst-32566	12	16	.	.	PUNCT
ajst-32566	13	1	the	the	DET
ajst-32566	13	2	highlight	highlight	NOUN
ajst-32566	13	3	of	of	ADP
ajst-32566	13	4	the	the	DET
ajst-32566	13	5	review	review	NOUN
ajst-32566	13	6	is	be	AUX
ajst-32566	13	7	that	that	SCONJ
ajst-32566	13	8	it	it	PRON
ajst-32566	13	9	provides	provide	VERB
ajst-32566	13	10	a	a	DET
ajst-32566	13	11	systematic	systematic	ADJ
ajst-32566	13	12	analysis	analysis	NOUN
ajst-32566	13	13	of	of	ADP
ajst-32566	13	14	basic	basic	ADJ
ajst-32566	13	15	methods	method	NOUN
ajst-32566	13	16	of	of	ADP
ajst-32566	13	17	using	use	VERB
ajst-32566	13	18	ai	ai	VERB
ajst-32566	13	19	to	to	PART
ajst-32566	13	20	recognize	recognize	VERB
ajst-32566	13	21	emotion	emotion	NOUN
ajst-32566	13	22	.	.	PUNCT
ajst-32566	14	1	keywords	keyword	NOUN
ajst-32566	14	2	:	:	PUNCT
ajst-32566	14	3	artificial	artificial	ADJ
ajst-32566	14	4	intelligence	intelligence	NOUN
ajst-32566	14	5	;	;	PUNCT
ajst-32566	14	6	emotion	emotion	NOUN
ajst-32566	14	7	recognition	recognition	NOUN
ajst-32566	14	8	;	;	PUNCT
ajst-32566	14	9	method	method	NOUN
ajst-32566	14	10	,	,	PUNCT
ajst-32566	14	11	modality	modality	NOUN
ajst-32566	14	12	.	.	PUNCT
ajst-32566	15	1	1	1	X
ajst-32566	15	2	.	.	X
ajst-32566	15	3	introduction	introduction	NOUN
ajst-32566	15	4	nowadays	nowadays	ADV
ajst-32566	15	5	,	,	PUNCT
ajst-32566	15	6	the	the	DET
ajst-32566	15	7	interaction	interaction	NOUN
ajst-32566	15	8	between	between	ADP
ajst-32566	15	9	humans	human	NOUN
ajst-32566	15	10	and	and	CCONJ
ajst-32566	15	11	computers	computer	NOUN
ajst-32566	15	12	serves	serve	VERB
ajst-32566	15	13	as	as	ADP
ajst-32566	15	14	an	an	DET
ajst-32566	15	15	important	important	ADJ
ajst-32566	15	16	part	part	NOUN
ajst-32566	15	17	of	of	ADP
ajst-32566	15	18	daily	daily	ADJ
ajst-32566	15	19	life	life	NOUN
ajst-32566	15	20	[	[	X
ajst-32566	15	21	1	1	NUM
ajst-32566	15	22	]	]	PUNCT
ajst-32566	15	23	.	.	PUNCT
ajst-32566	16	1	emotions	emotion	NOUN
ajst-32566	16	2	are	be	AUX
ajst-32566	16	3	also	also	ADV
ajst-32566	16	4	significant	significant	ADJ
ajst-32566	16	5	for	for	ADP
ajst-32566	16	6	individuals	individual	NOUN
ajst-32566	16	7	[	[	X
ajst-32566	16	8	1	1	NUM
ajst-32566	16	9	]	]	PUNCT
ajst-32566	16	10	.	.	PUNCT
ajst-32566	17	1	the	the	DET
ajst-32566	17	2	utilization	utilization	NOUN
ajst-32566	17	3	of	of	ADP
ajst-32566	17	4	artificial	artificial	ADJ
ajst-32566	17	5	intelligence	intelligence	NOUN
ajst-32566	17	6	for	for	ADP
ajst-32566	17	7	emotion	emotion	NOUN
ajst-32566	17	8	recognition	recognition	NOUN
ajst-32566	17	9	is	be	AUX
ajst-32566	17	10	gaining	gain	VERB
ajst-32566	17	11	significant	significant	ADJ
ajst-32566	17	12	traction	traction	NOUN
ajst-32566	17	13	,	,	PUNCT
ajst-32566	17	14	with	with	ADP
ajst-32566	17	15	extensive	extensive	ADJ
ajst-32566	17	16	applications	application	NOUN
ajst-32566	17	17	.	.	PUNCT
ajst-32566	18	1	for	for	ADP
ajst-32566	18	2	instance	instance	NOUN
ajst-32566	18	3	,	,	PUNCT
ajst-32566	18	4	aibased	aibased	ADJ
ajst-32566	18	5	emotion	emotion	NOUN
ajst-32566	18	6	recognition	recognition	NOUN
ajst-32566	18	7	is	be	AUX
ajst-32566	18	8	employed	employ	VERB
ajst-32566	18	9	in	in	ADP
ajst-32566	18	10	software	software	NOUN
ajst-32566	18	11	engineering	engineering	NOUN
ajst-32566	18	12	,	,	PUNCT
ajst-32566	18	13	website	website	NOUN
ajst-32566	18	14	customization	customization	NOUN
ajst-32566	18	15	,	,	PUNCT
ajst-32566	18	16	education	education	NOUN
ajst-32566	18	17	and	and	CCONJ
ajst-32566	18	18	gaming	gaming	NOUN
ajst-32566	18	19	[	[	X
ajst-32566	18	20	2	2	NUM
ajst-32566	18	21	]	]	PUNCT
ajst-32566	18	22	.	.	PUNCT
ajst-32566	19	1	it	it	PRON
ajst-32566	19	2	also	also	ADV
ajst-32566	19	3	intrigues	intrigue	VERB
ajst-32566	19	4	interests	interest	NOUN
ajst-32566	19	5	in	in	ADP
ajst-32566	19	6	areas	area	NOUN
ajst-32566	19	7	involving	involve	VERB
ajst-32566	19	8	human	human	ADJ
ajst-32566	19	9	–	–	PUNCT
ajst-32566	19	10	computer	computer	NOUN
ajst-32566	19	11	interaction	interaction	NOUN
ajst-32566	19	12	,	,	PUNCT
ajst-32566	19	13	cognitivebehavioral	cognitivebehavioral	ADJ
ajst-32566	19	14	science	science	NOUN
ajst-32566	19	15	and	and	CCONJ
ajst-32566	19	16	the	the	DET
ajst-32566	19	17	treatment	treatment	NOUN
ajst-32566	19	18	of	of	ADP
ajst-32566	19	19	emotion	emotion	NOUN
ajst-32566	19	20	-	-	PUNCT
ajst-32566	19	21	related	relate	VERB
ajst-32566	19	22	diseases	disease	NOUN
ajst-32566	19	23	[	[	X
ajst-32566	19	24	3	3	NUM
ajst-32566	19	25	]	]	PUNCT
ajst-32566	19	26	.	.	PUNCT
ajst-32566	20	1	particularly	particularly	ADV
ajst-32566	20	2	,	,	PUNCT
ajst-32566	20	3	in	in	ADP
ajst-32566	20	4	human	human	ADJ
ajst-32566	20	5	-	-	PUNCT
ajst-32566	20	6	computer	computer	NOUN
ajst-32566	20	7	interaction	interaction	NOUN
ajst-32566	20	8	,	,	PUNCT
ajst-32566	20	9	ai	ai	VERB
ajst-32566	20	10	’s	’s	PART
ajst-32566	20	11	comprehension	comprehension	NOUN
ajst-32566	20	12	of	of	ADP
ajst-32566	20	13	humans	human	NOUN
ajst-32566	20	14	’	'	PUNCT
ajst-32566	20	15	emotions	emotion	NOUN
ajst-32566	20	16	can	can	AUX
ajst-32566	20	17	help	help	VERB
ajst-32566	20	18	computers	computer	NOUN
ajst-32566	20	19	not	not	PART
ajst-32566	20	20	only	only	ADV
ajst-32566	20	21	respond	respond	VERB
ajst-32566	20	22	more	more	ADV
ajst-32566	20	23	naturally	naturally	ADV
ajst-32566	20	24	,	,	PUNCT
ajst-32566	20	25	but	but	CCONJ
ajst-32566	20	26	also	also	ADV
ajst-32566	20	27	understanding	understand	VERB
ajst-32566	20	28	individuals	individual	NOUN
ajst-32566	20	29	’	'	PUNCT
ajst-32566	20	30	needs	need	VERB
ajst-32566	20	31	more	more	ADV
ajst-32566	20	32	accurately	accurately	ADV
ajst-32566	20	33	[	[	X
ajst-32566	20	34	4	4	NUM
ajst-32566	20	35	]	]	PUNCT
ajst-32566	20	36	.	.	PUNCT
ajst-32566	21	1	as	as	ADP
ajst-32566	21	2	a	a	DET
ajst-32566	21	3	result	result	NOUN
ajst-32566	21	4	,	,	PUNCT
ajst-32566	21	5	it	it	PRON
ajst-32566	21	6	’s	’	VERB
ajst-32566	21	7	important	important	ADJ
ajst-32566	21	8	to	to	PART
ajst-32566	21	9	learn	learn	VERB
ajst-32566	21	10	and	and	CCONJ
ajst-32566	21	11	develop	develop	VERB
ajst-32566	21	12	the	the	DET
ajst-32566	21	13	technologies	technology	NOUN
ajst-32566	21	14	concerning	concern	VERB
ajst-32566	21	15	ai	ai	NOUN
ajst-32566	21	16	-	-	PUNCT
ajst-32566	21	17	based	base	VERB
ajst-32566	21	18	emotion	emotion	NOUN
ajst-32566	21	19	recognition	recognition	NOUN
ajst-32566	21	20	.	.	PUNCT
ajst-32566	22	1	therefore	therefore	ADV
ajst-32566	22	2	,	,	PUNCT
ajst-32566	22	3	this	this	DET
ajst-32566	22	4	review	review	NOUN
ajst-32566	22	5	aims	aim	VERB
ajst-32566	22	6	to	to	PART
ajst-32566	22	7	provide	provide	VERB
ajst-32566	22	8	an	an	DET
ajst-32566	22	9	easy	easy	ADJ
ajst-32566	22	10	overview	overview	NOUN
ajst-32566	22	11	over	over	ADP
ajst-32566	22	12	the	the	DET
ajst-32566	22	13	main	main	ADJ
ajst-32566	22	14	methods	method	NOUN
ajst-32566	22	15	used	use	VERB
ajst-32566	22	16	to	to	PART
ajst-32566	22	17	identify	identify	VERB
ajst-32566	22	18	emotions	emotion	NOUN
ajst-32566	22	19	with	with	ADP
ajst-32566	22	20	the	the	DET
ajst-32566	22	21	help	help	NOUN
ajst-32566	22	22	of	of	ADP
ajst-32566	22	23	ai	ai	VERB
ajst-32566	22	24	.	.	PUNCT
ajst-32566	23	1	the	the	DET
ajst-32566	23	2	literature	literature	PROPN
ajst-32566	23	3	review	review	NOUN
ajst-32566	23	4	is	be	AUX
ajst-32566	23	5	separated	separate	VERB
ajst-32566	23	6	into	into	ADP
ajst-32566	23	7	five	five	NUM
ajst-32566	23	8	sections	section	NOUN
ajst-32566	23	9	,	,	PUNCT
ajst-32566	23	10	revolving	revolve	VERB
ajst-32566	23	11	around	around	ADP
ajst-32566	23	12	four	four	NUM
ajst-32566	23	13	primary	primary	ADJ
ajst-32566	23	14	data	datum	NOUN
ajst-32566	23	15	modalities	modality	NOUN
ajst-32566	23	16	:	:	PUNCT
ajst-32566	23	17	facial	facial	ADJ
ajst-32566	23	18	expressions	expression	NOUN
ajst-32566	23	19	(	(	PUNCT
ajst-32566	23	20	section	section	NOUN
ajst-32566	23	21	1	1	NUM
ajst-32566	23	22	)	)	PUNCT
ajst-32566	23	23	,	,	PUNCT
ajst-32566	23	24	speech	speech	NOUN
ajst-32566	23	25	(	(	PUNCT
ajst-32566	23	26	section	section	NOUN
ajst-32566	23	27	2	2	NUM
ajst-32566	23	28	)	)	PUNCT
ajst-32566	23	29	,	,	PUNCT
ajst-32566	23	30	physiological	physiological	ADJ
ajst-32566	23	31	signals	signal	NOUN
ajst-32566	23	32	(	(	PUNCT
ajst-32566	23	33	section	section	NOUN
ajst-32566	23	34	3	3	NUM
ajst-32566	23	35	)	)	PUNCT
ajst-32566	23	36	and	and	CCONJ
ajst-32566	23	37	text	text	NOUN
ajst-32566	23	38	(	(	PUNCT
ajst-32566	23	39	section	section	NOUN
ajst-32566	23	40	4	4	NUM
ajst-32566	23	41	)	)	PUNCT
ajst-32566	23	42	.	.	PUNCT
ajst-32566	24	1	finally	finally	ADV
ajst-32566	24	2	,	,	PUNCT
ajst-32566	24	3	in	in	ADP
ajst-32566	24	4	section	section	NOUN
ajst-32566	24	5	5	5	NUM
ajst-32566	24	6	,	,	PUNCT
ajst-32566	24	7	the	the	DET
ajst-32566	24	8	general	general	ADJ
ajst-32566	24	9	challenges	challenge	NOUN
ajst-32566	24	10	in	in	ADP
ajst-32566	24	11	all	all	DET
ajst-32566	24	12	four	four	NUM
ajst-32566	24	13	modalities	modality	NOUN
ajst-32566	24	14	are	be	AUX
ajst-32566	24	15	discussed	discuss	VERB
ajst-32566	24	16	.	.	PUNCT
ajst-32566	25	1	for	for	ADP
ajst-32566	25	2	each	each	DET
ajst-32566	25	3	modality	modality	NOUN
ajst-32566	25	4	,	,	PUNCT
ajst-32566	25	5	the	the	DET
ajst-32566	25	6	author	author	NOUN
ajst-32566	25	7	explores	explore	VERB
ajst-32566	25	8	its	its	PRON
ajst-32566	25	9	basic	basic	ADJ
ajst-32566	25	10	impletion	impletion	NOUN
ajst-32566	25	11	processes	process	NOUN
ajst-32566	25	12	,	,	PUNCT
ajst-32566	25	13	including	include	VERB
ajst-32566	25	14	constructing	construct	VERB
ajst-32566	25	15	database	database	NOUN
ajst-32566	25	16	,	,	PUNCT
ajst-32566	25	17	preprocessing	preprocessing	NOUN
ajst-32566	25	18	,	,	PUNCT
ajst-32566	25	19	extracting	extract	VERB
ajst-32566	25	20	features	feature	NOUN
ajst-32566	25	21	and	and	CCONJ
ajst-32566	25	22	machine	machine	NOUN
ajst-32566	25	23	learning	learning	NOUN
ajst-32566	25	24	.	.	PUNCT
ajst-32566	26	1	when	when	SCONJ
ajst-32566	26	2	discussing	discuss	VERB
ajst-32566	26	3	fer	fer	PROPN
ajst-32566	26	4	,	,	PUNCT
ajst-32566	26	5	which	which	PRON
ajst-32566	26	6	is	be	AUX
ajst-32566	26	7	the	the	DET
ajst-32566	26	8	first	first	ADJ
ajst-32566	26	9	part	part	NOUN
ajst-32566	26	10	of	of	ADP
ajst-32566	26	11	the	the	DET
ajst-32566	26	12	main	main	ADJ
ajst-32566	26	13	body	body	NOUN
ajst-32566	26	14	,	,	PUNCT
ajst-32566	26	15	all	all	DET
ajst-32566	26	16	four	four	NUM
ajst-32566	26	17	steps	step	NOUN
ajst-32566	26	18	are	be	AUX
ajst-32566	26	19	introduced	introduce	VERB
ajst-32566	26	20	in	in	ADP
ajst-32566	26	21	detail	detail	NOUN
ajst-32566	26	22	.	.	PUNCT
ajst-32566	27	1	this	this	PRON
ajst-32566	27	2	aims	aim	VERB
ajst-32566	27	3	to	to	PART
ajst-32566	27	4	provide	provide	VERB
ajst-32566	27	5	a	a	DET
ajst-32566	27	6	comprehensive	comprehensive	ADJ
ajst-32566	27	7	perception	perception	NOUN
ajst-32566	27	8	of	of	ADP
ajst-32566	27	9	the	the	DET
ajst-32566	27	10	total	total	ADJ
ajst-32566	27	11	process	process	NOUN
ajst-32566	27	12	.	.	PUNCT
ajst-32566	28	1	later	later	ADV
ajst-32566	28	2	in	in	ADP
ajst-32566	28	3	ser	ser	PROPN
ajst-32566	28	4	,	,	PUNCT
ajst-32566	28	5	emotion	emotion	NOUN
ajst-32566	28	6	recognition	recognition	NOUN
ajst-32566	28	7	from	from	ADP
ajst-32566	28	8	physiological	physiological	ADJ
ajst-32566	28	9	signals	signal	NOUN
ajst-32566	28	10	and	and	CCONJ
ajst-32566	28	11	ter	ter	NOUN
ajst-32566	28	12	,	,	PUNCT
ajst-32566	28	13	only	only	ADV
ajst-32566	28	14	several	several	ADJ
ajst-32566	28	15	parts	part	NOUN
ajst-32566	28	16	which	which	PRON
ajst-32566	28	17	the	the	DET
ajst-32566	28	18	author	author	NOUN
ajst-32566	28	19	regards	regard	VERB
ajst-32566	28	20	as	as	SCONJ
ajst-32566	28	21	the	the	DET
ajst-32566	28	22	most	most	ADV
ajst-32566	28	23	important	important	ADJ
ajst-32566	28	24	ones	one	NOUN
ajst-32566	28	25	are	be	AUX
ajst-32566	28	26	discussed	discuss	VERB
ajst-32566	28	27	.	.	PUNCT
ajst-32566	29	1	in	in	ADP
ajst-32566	29	2	detail	detail	NOUN
ajst-32566	29	3	,	,	PUNCT
ajst-32566	29	4	in	in	ADP
ajst-32566	29	5	this	this	DET
ajst-32566	29	6	review	review	NOUN
ajst-32566	29	7	,	,	PUNCT
ajst-32566	29	8	ser	ser	NOUN
ajst-32566	29	9	focuses	focus	VERB
ajst-32566	29	10	on	on	ADP
ajst-32566	29	11	feature	feature	NOUN
ajst-32566	29	12	collection	collection	NOUN
ajst-32566	29	13	and	and	CCONJ
ajst-32566	29	14	classification	classification	NOUN
ajst-32566	29	15	in	in	ADP
ajst-32566	29	16	machine	machine	NOUN
ajst-32566	29	17	learning	learning	NOUN
ajst-32566	29	18	;	;	PUNCT
ajst-32566	29	19	emotion	emotion	NOUN
ajst-32566	29	20	recognition	recognition	NOUN
ajst-32566	29	21	from	from	ADP
ajst-32566	29	22	physiological	physiological	ADJ
ajst-32566	29	23	signals	signal	NOUN
ajst-32566	29	24	concentrates	concentrate	VERB
ajst-32566	29	25	on	on	ADP
ajst-32566	29	26	feature	feature	NOUN
ajst-32566	29	27	extraction	extraction	NOUN
ajst-32566	29	28	and	and	CCONJ
ajst-32566	29	29	machine	machine	NOUN
ajst-32566	29	30	leaning	lean	VERB
ajst-32566	29	31	from	from	ADP
ajst-32566	29	32	eeg	eeg	NOUN
ajst-32566	29	33	signals	signal	NOUN
ajst-32566	29	34	,	,	PUNCT
ajst-32566	29	35	as	as	ADV
ajst-32566	29	36	well	well	ADV
ajst-32566	29	37	as	as	ADP
ajst-32566	29	38	some	some	DET
ajst-32566	29	39	novel	novel	ADJ
ajst-32566	29	40	methodologies	methodology	NOUN
ajst-32566	29	41	employed	employ	VERB
ajst-32566	29	42	in	in	ADP
ajst-32566	29	43	ecg	ecg	PROPN
ajst-32566	29	44	-	-	PUNCT
ajst-32566	29	45	signal	signal	NOUN
ajst-32566	29	46	-	-	PUNCT
ajst-32566	29	47	based	base	VERB
ajst-32566	29	48	emotion	emotion	NOUN
ajst-32566	29	49	recognition	recognition	NOUN
ajst-32566	29	50	;	;	PUNCT
ajst-32566	29	51	ter	ter	NOUN
ajst-32566	29	52	discusses	discuss	VERB
ajst-32566	29	53	four	four	NUM
ajst-32566	29	54	basic	basic	ADJ
ajst-32566	29	55	methods	method	NOUN
ajst-32566	29	56	,	,	PUNCT
ajst-32566	29	57	namely	namely	ADV
ajst-32566	29	58	keyword	keyword	NOUN
ajst-32566	29	59	-	-	PUNCT
ajst-32566	29	60	based	base	VERB
ajst-32566	29	61	approach	approach	NOUN
ajst-32566	29	62	,	,	PUNCT
ajst-32566	29	63	rule	rule	NOUN
ajst-32566	29	64	-	-	PUNCT
ajst-32566	29	65	based	base	VERB
ajst-32566	29	66	approach	approach	NOUN
ajst-32566	29	67	,	,	PUNCT
ajst-32566	29	68	machine	machine	NOUN
ajst-32566	29	69	learning	learning	NOUN
ajst-32566	29	70	/	/	SYM
ajst-32566	29	71	classical	classical	ADJ
ajst-32566	29	72	learning	learning	NOUN
ajst-32566	29	73	–	–	PUNCT
ajst-32566	29	74	based	base	VERB
ajst-32566	29	75	approach	approach	NOUN
ajst-32566	29	76	,	,	PUNCT
ajst-32566	29	77	and	and	CCONJ
ajst-32566	29	78	deep	deep	ADJ
ajst-32566	29	79	learning	learning	NOUN
ajst-32566	29	80	–	–	PUNCT
ajst-32566	29	81	based	base	VERB
ajst-32566	29	82	approach	approach	NOUN
ajst-32566	29	83	.	.	PUNCT
ajst-32566	30	1	222	222	NUM
ajst-32566	30	2	2	2	NUM
ajst-32566	30	3	.	.	PUNCT
ajst-32566	30	4	literature	literature	NOUN
ajst-32566	30	5	review	review	VERB
ajst-32566	30	6	there	there	PRON
ajst-32566	30	7	are	be	VERB
ajst-32566	30	8	basically	basically	ADV
ajst-32566	30	9	four	four	NUM
ajst-32566	30	10	modalities	modality	NOUN
ajst-32566	30	11	in	in	ADP
ajst-32566	30	12	emotion	emotion	NOUN
ajst-32566	30	13	recognition	recognition	NOUN
ajst-32566	30	14	using	use	VERB
ajst-32566	30	15	ai	ai	NOUN
ajst-32566	30	16	,	,	PUNCT
ajst-32566	30	17	namely	namely	ADV
ajst-32566	30	18	facial	facial	ADJ
ajst-32566	30	19	emotion	emotion	NOUN
ajst-32566	30	20	recognition	recognition	NOUN
ajst-32566	30	21	(	(	PUNCT
ajst-32566	30	22	fer	fer	PROPN
ajst-32566	30	23	)	)	PUNCT
ajst-32566	30	24	,	,	PUNCT
ajst-32566	30	25	speech	speech	NOUN
ajst-32566	30	26	emotion	emotion	NOUN
ajst-32566	30	27	recognition	recognition	NOUN
ajst-32566	30	28	(	(	PUNCT
ajst-32566	30	29	ser	ser	NOUN
ajst-32566	30	30	)	)	PUNCT
ajst-32566	30	31	,	,	PUNCT
ajst-32566	30	32	emotion	emotion	NOUN
ajst-32566	30	33	recognition	recognition	NOUN
ajst-32566	30	34	from	from	ADP
ajst-32566	30	35	physiological	physiological	ADJ
ajst-32566	30	36	signals	signal	NOUN
ajst-32566	30	37	and	and	CCONJ
ajst-32566	30	38	textual	textual	ADJ
ajst-32566	30	39	emotion	emotion	NOUN
ajst-32566	30	40	recognition	recognition	NOUN
ajst-32566	30	41	(	(	PUNCT
ajst-32566	30	42	ter	ter	NOUN
ajst-32566	30	43	)	)	PUNCT
ajst-32566	30	44	.	.	PUNCT
ajst-32566	31	1	among	among	ADP
ajst-32566	31	2	them	they	PRON
ajst-32566	31	3	,	,	PUNCT
ajst-32566	31	4	fer	fer	PROPN
ajst-32566	31	5	is	be	AUX
ajst-32566	31	6	the	the	DET
ajst-32566	31	7	most	most	ADV
ajst-32566	31	8	popular	popular	ADJ
ajst-32566	31	9	modality	modality	NOUN
ajst-32566	31	10	,	,	PUNCT
ajst-32566	31	11	hence	hence	ADV
ajst-32566	31	12	the	the	DET
ajst-32566	31	13	author	author	NOUN
ajst-32566	31	14	discusses	discuss	VERB
ajst-32566	31	15	it	it	PRON
ajst-32566	31	16	firstly	firstly	ADV
ajst-32566	31	17	.	.	PUNCT
ajst-32566	32	1	2.1	2.1	NUM
ajst-32566	32	2	facial	facial	ADJ
ajst-32566	32	3	emotion	emotion	NOUN
ajst-32566	32	4	recognition	recognition	NOUN
ajst-32566	32	5	(	(	PUNCT
ajst-32566	32	6	fer	fer	PROPN
ajst-32566	32	7	)	)	PUNCT
ajst-32566	32	8	fer	fer	PROPN
ajst-32566	32	9	is	be	AUX
ajst-32566	32	10	the	the	DET
ajst-32566	32	11	recognition	recognition	NOUN
ajst-32566	32	12	of	of	ADP
ajst-32566	32	13	human	human	ADJ
ajst-32566	32	14	emotion	emotion	NOUN
ajst-32566	32	15	states	state	NOUN
ajst-32566	32	16	from	from	ADP
ajst-32566	32	17	static	static	ADJ
ajst-32566	32	18	images	image	NOUN
ajst-32566	32	19	and	and	CCONJ
ajst-32566	32	20	videos	video	NOUN
ajst-32566	32	21	[	[	X
ajst-32566	32	22	5	5	NUM
ajst-32566	32	23	]	]	PUNCT
ajst-32566	32	24	.	.	PUNCT
ajst-32566	33	1	to	to	PART
ajst-32566	33	2	sum	sum	VERB
ajst-32566	33	3	up	up	ADP
ajst-32566	33	4	,	,	PUNCT
ajst-32566	33	5	there	there	PRON
ajst-32566	33	6	are	be	VERB
ajst-32566	33	7	three	three	NUM
ajst-32566	33	8	main	main	ADJ
ajst-32566	33	9	original	original	ADJ
ajst-32566	33	10	steps	step	NOUN
ajst-32566	33	11	of	of	ADP
ajst-32566	33	12	fer	fer	NOUN
ajst-32566	33	13	:	:	PUNCT
ajst-32566	33	14	firstly	firstly	ADV
ajst-32566	33	15	,	,	PUNCT
ajst-32566	33	16	a	a	DET
ajst-32566	33	17	comprehensive	comprehensive	ADJ
ajst-32566	33	18	database	database	NOUN
ajst-32566	33	19	should	should	AUX
ajst-32566	33	20	be	be	AUX
ajst-32566	33	21	built	build	VERB
ajst-32566	33	22	;	;	PUNCT
ajst-32566	33	23	secondly	secondly	ADV
ajst-32566	33	24	,	,	PUNCT
ajst-32566	33	25	faces	face	NOUN
ajst-32566	33	26	are	be	AUX
ajst-32566	33	27	identified	identify	VERB
ajst-32566	33	28	from	from	ADP
ajst-32566	33	29	a	a	DET
ajst-32566	33	30	video	video	NOUN
ajst-32566	33	31	or	or	CCONJ
ajst-32566	33	32	a	a	DET
ajst-32566	33	33	photo	photo	NOUN
ajst-32566	33	34	when	when	SCONJ
ajst-32566	33	35	non	non	ADJ
ajst-32566	33	36	-	-	ADJ
ajst-32566	33	37	facial	facial	ADJ
ajst-32566	33	38	components	component	NOUN
ajst-32566	33	39	are	be	AUX
ajst-32566	33	40	removed	remove	VERB
ajst-32566	33	41	;	;	PUNCT
ajst-32566	33	42	thirdly	thirdly	ADV
ajst-32566	33	43	,	,	PUNCT
ajst-32566	33	44	some	some	DET
ajst-32566	33	45	features	feature	NOUN
ajst-32566	33	46	are	be	AUX
ajst-32566	33	47	selectively	selectively	ADV
ajst-32566	33	48	removed	remove	VERB
ajst-32566	33	49	or	or	CCONJ
ajst-32566	33	50	adapted	adapt	VERB
ajst-32566	33	51	for	for	ADP
ajst-32566	33	52	following	follow	VERB
ajst-32566	33	53	steps	step	NOUN
ajst-32566	33	54	;	;	PUNCT
ajst-32566	33	55	fourthly	fourthly	ADV
ajst-32566	33	56	,	,	PUNCT
ajst-32566	33	57	data	datum	NOUN
ajst-32566	33	58	which	which	PRON
ajst-32566	33	59	have	have	AUX
ajst-32566	33	60	undergone	undergo	VERB
ajst-32566	33	61	pre	pre	ADJ
ajst-32566	33	62	-	-	NOUN
ajst-32566	33	63	processing	processing	NOUN
ajst-32566	33	64	in	in	ADP
ajst-32566	33	65	step	step	NOUN
ajst-32566	33	66	two	two	NUM
ajst-32566	33	67	and	and	CCONJ
ajst-32566	33	68	three	three	NUM
ajst-32566	33	69	are	be	AUX
ajst-32566	33	70	utilized	utilize	VERB
ajst-32566	33	71	to	to	PART
ajst-32566	33	72	train	train	VERB
ajst-32566	33	73	a	a	DET
ajst-32566	33	74	classifier	classifier	NOUN
ajst-32566	33	75	,	,	PUNCT
ajst-32566	33	76	which	which	PRON
ajst-32566	33	77	produces	produce	VERB
ajst-32566	33	78	affective	affective	ADJ
ajst-32566	33	79	tags	tag	NOUN
ajst-32566	33	80	during	during	ADP
ajst-32566	33	81	the	the	DET
ajst-32566	33	82	training	training	NOUN
ajst-32566	33	83	.	.	PUNCT
ajst-32566	34	1	next	next	ADV
ajst-32566	34	2	,	,	PUNCT
ajst-32566	34	3	let	let	VERB
ajst-32566	34	4	’s	’s	NOUN
ajst-32566	34	5	see	see	VERB
ajst-32566	34	6	it	it	PRON
ajst-32566	34	7	in	in	ADP
ajst-32566	34	8	a	a	DET
ajst-32566	34	9	more	more	ADV
ajst-32566	34	10	detailed	detailed	ADJ
ajst-32566	34	11	way	way	NOUN
ajst-32566	34	12	.	.	PUNCT
ajst-32566	35	1	2.1.1	2.1.1	NUM
ajst-32566	35	2	database	database	NOUN
ajst-32566	35	3	those	those	DET
ajst-32566	35	4	data	datum	NOUN
ajst-32566	35	5	used	use	VERB
ajst-32566	35	6	for	for	ADP
ajst-32566	35	7	researches	research	NOUN
ajst-32566	35	8	usually	usually	ADV
ajst-32566	35	9	come	come	VERB
ajst-32566	35	10	from	from	ADP
ajst-32566	35	11	pictures	picture	NOUN
ajst-32566	35	12	or	or	CCONJ
ajst-32566	35	13	images	image	NOUN
ajst-32566	35	14	captured	capture	VERB
ajst-32566	35	15	in	in	ADP
ajst-32566	35	16	videos	video	NOUN
ajst-32566	35	17	[	[	X
ajst-32566	35	18	6	6	NUM
ajst-32566	35	19	]	]	PUNCT
ajst-32566	35	20	.	.	PUNCT
ajst-32566	36	1	some	some	PRON
ajst-32566	36	2	of	of	ADP
ajst-32566	36	3	the	the	DET
ajst-32566	36	4	pictures	picture	NOUN
ajst-32566	36	5	are	be	AUX
ajst-32566	36	6	taken	take	VERB
ajst-32566	36	7	when	when	SCONJ
ajst-32566	36	8	individuals	individual	NOUN
ajst-32566	36	9	pose	pose	VERB
ajst-32566	36	10	for	for	ADP
ajst-32566	36	11	the	the	DET
ajst-32566	36	12	photograph	photograph	NOUN
ajst-32566	36	13	,	,	PUNCT
ajst-32566	36	14	others	other	NOUN
ajst-32566	36	15	record	record	VERB
ajst-32566	36	16	spontaneous	spontaneous	ADJ
ajst-32566	36	17	emotions	emotion	NOUN
ajst-32566	36	18	,	,	PUNCT
ajst-32566	36	19	with	with	ADP
ajst-32566	36	20	lower	low	ADJ
ajst-32566	36	21	quality	quality	NOUN
ajst-32566	36	22	compared	compare	VERB
ajst-32566	36	23	to	to	ADP
ajst-32566	36	24	the	the	DET
ajst-32566	36	25	former	former	ADJ
ajst-32566	36	26	[	[	X
ajst-32566	36	27	6	6	NUM
ajst-32566	36	28	]	]	PUNCT
ajst-32566	36	29	.	.	PUNCT
ajst-32566	37	1	nevertheless	nevertheless	ADV
ajst-32566	37	2	,	,	PUNCT
ajst-32566	37	3	it	it	PRON
ajst-32566	37	4	’s	’	VERB
ajst-32566	37	5	expensive	expensive	ADJ
ajst-32566	37	6	and	and	CCONJ
ajst-32566	37	7	time	time	NOUN
ajst-32566	37	8	-	-	PUNCT
ajst-32566	37	9	costly	costly	ADJ
ajst-32566	37	10	to	to	PART
ajst-32566	37	11	collect	collect	VERB
ajst-32566	37	12	those	those	DET
ajst-32566	37	13	data	datum	NOUN
ajst-32566	37	14	[	[	X
ajst-32566	37	15	7	7	NUM
ajst-32566	37	16	]	]	PUNCT
ajst-32566	37	17	.	.	PUNCT
ajst-32566	38	1	also	also	ADV
ajst-32566	38	2	,	,	PUNCT
ajst-32566	38	3	photos	photo	NOUN
ajst-32566	38	4	taken	take	VERB
ajst-32566	38	5	from	from	ADP
ajst-32566	38	6	the	the	DET
ajst-32566	38	7	real	real	ADJ
ajst-32566	38	8	world	world	NOUN
ajst-32566	38	9	may	may	AUX
ajst-32566	38	10	invade	invade	VERB
ajst-32566	38	11	people	people	NOUN
ajst-32566	38	12	’s	’s	PART
ajst-32566	38	13	privacy	privacy	NOUN
ajst-32566	39	1	[	[	X
ajst-32566	39	2	8	8	NUM
ajst-32566	39	3	]	]	PUNCT
ajst-32566	39	4	.	.	PUNCT
ajst-32566	40	1	to	to	PART
ajst-32566	40	2	deal	deal	VERB
ajst-32566	40	3	with	with	ADP
ajst-32566	40	4	those	those	DET
ajst-32566	40	5	problems	problem	NOUN
ajst-32566	40	6	,	,	PUNCT
ajst-32566	40	7	researchers	researcher	NOUN
ajst-32566	40	8	generate	generate	VERB
ajst-32566	40	9	facial	facial	ADJ
ajst-32566	40	10	expression	expression	NOUN
ajst-32566	40	11	images	image	NOUN
ajst-32566	40	12	using	use	VERB
ajst-32566	40	13	a	a	DET
ajst-32566	40	14	wide	wide	ADJ
ajst-32566	40	15	range	range	NOUN
ajst-32566	40	16	of	of	ADP
ajst-32566	40	17	tools	tool	NOUN
ajst-32566	40	18	.	.	PUNCT
ajst-32566	41	1	for	for	ADP
ajst-32566	41	2	instance	instance	NOUN
ajst-32566	41	3	,	,	PUNCT
ajst-32566	41	4	in	in	ADP
ajst-32566	41	5	the	the	DET
ajst-32566	41	6	research	research	NOUN
ajst-32566	41	7	conducted	conduct	VERB
ajst-32566	41	8	by	by	ADP
ajst-32566	41	9	darne	darne	NOUN
ajst-32566	41	10	,	,	PUNCT
ajst-32566	41	11	quan	quan	PROPN
ajst-32566	41	12	and	and	CCONJ
ajst-32566	41	13	luo	luo	PROPN
ajst-32566	41	14	,	,	PUNCT
ajst-32566	41	15	images	image	NOUN
ajst-32566	41	16	of	of	ADP
ajst-32566	41	17	facial	facial	ADJ
ajst-32566	41	18	expressions	expression	NOUN
ajst-32566	41	19	are	be	AUX
ajst-32566	41	20	created	create	VERB
ajst-32566	41	21	by	by	ADP
ajst-32566	41	22	firstly	firstly	ADV
ajst-32566	41	23	generating	generate	VERB
ajst-32566	41	24	facial	facial	ADJ
ajst-32566	41	25	images	image	NOUN
ajst-32566	41	26	using	use	VERB
ajst-32566	41	27	stylegan2	stylegan2	NOUN
ajst-32566	41	28	model	model	NOUN
ajst-32566	41	29	and	and	CCONJ
ajst-32566	41	30	secondly	secondly	ADV
ajst-32566	41	31	applying	apply	VERB
ajst-32566	41	32	emostyle	emostyle	NOUN
ajst-32566	41	33	model	model	NOUN
ajst-32566	41	34	to	to	ADP
ajst-32566	41	35	the	the	DET
ajst-32566	41	36	edition	edition	NOUN
ajst-32566	41	37	of	of	ADP
ajst-32566	41	38	facial	facial	ADJ
ajst-32566	41	39	expressions	expression	NOUN
ajst-32566	41	40	[	[	X
ajst-32566	41	41	7	7	NUM
ajst-32566	41	42	]	]	PUNCT
ajst-32566	41	43	.	.	PUNCT
ajst-32566	42	1	2.1.2	2.1.2	NUM
ajst-32566	42	2	pre	pre	ADJ
ajst-32566	42	3	-	-	ADJ
ajst-32566	42	4	processing	processing	ADJ
ajst-32566	42	5	pre	pre	ADJ
ajst-32566	42	6	-	-	ADJ
ajst-32566	42	7	processing	processing	NOUN
ajst-32566	42	8	is	be	AUX
ajst-32566	42	9	necessary	necessary	ADJ
ajst-32566	42	10	for	for	ADP
ajst-32566	42	11	fer	fer	PROPN
ajst-32566	42	12	,	,	PUNCT
ajst-32566	42	13	since	since	SCONJ
ajst-32566	42	14	it	it	PRON
ajst-32566	42	15	can	can	AUX
ajst-32566	42	16	enhance	enhance	VERB
ajst-32566	42	17	the	the	DET
ajst-32566	42	18	accuracy	accuracy	NOUN
ajst-32566	42	19	of	of	ADP
ajst-32566	42	20	recognition	recognition	NOUN
ajst-32566	42	21	results	result	VERB
ajst-32566	42	22	significantly	significantly	ADV
ajst-32566	42	23	.	.	PUNCT
ajst-32566	43	1	pre	pre	ADJ
ajst-32566	43	2	-	-	ADJ
ajst-32566	43	3	processing	processing	NOUN
ajst-32566	43	4	involves	involve	VERB
ajst-32566	43	5	three	three	NUM
ajst-32566	43	6	main	main	ADJ
ajst-32566	43	7	steps	step	NOUN
ajst-32566	43	8	[	[	X
ajst-32566	43	9	6	6	NUM
ajst-32566	43	10	]	]	PUNCT
ajst-32566	43	11	.	.	PUNCT
ajst-32566	44	1	firstly	firstly	ADV
ajst-32566	44	2	,	,	PUNCT
ajst-32566	44	3	human	human	ADJ
ajst-32566	44	4	faces	face	NOUN
ajst-32566	44	5	are	be	AUX
ajst-32566	44	6	detected	detect	VERB
ajst-32566	44	7	in	in	ADP
ajst-32566	44	8	each	each	DET
ajst-32566	44	9	picture	picture	NOUN
ajst-32566	44	10	,	,	PUNCT
ajst-32566	44	11	followed	follow	VERB
ajst-32566	44	12	by	by	ADP
ajst-32566	44	13	the	the	DET
ajst-32566	44	14	removal	removal	NOUN
ajst-32566	44	15	of	of	ADP
ajst-32566	44	16	non	non	ADJ
ajst-32566	44	17	-	-	ADJ
ajst-32566	44	18	facial	facial	ADJ
ajst-32566	44	19	parts	part	NOUN
ajst-32566	44	20	.	.	PUNCT
ajst-32566	45	1	the	the	DET
ajst-32566	45	2	viola	viola	PROPN
ajst-32566	45	3	-	-	PUNCT
ajst-32566	45	4	jones	jones	PROPN
ajst-32566	45	5	face	face	NOUN
ajst-32566	45	6	detector	detector	NOUN
ajst-32566	45	7	is	be	AUX
ajst-32566	45	8	one	one	NUM
ajst-32566	45	9	of	of	ADP
ajst-32566	45	10	the	the	DET
ajst-32566	45	11	most	most	ADV
ajst-32566	45	12	commonly	commonly	ADV
ajst-32566	45	13	utilized	utilize	VERB
ajst-32566	45	14	technology	technology	NOUN
ajst-32566	45	15	for	for	ADP
ajst-32566	45	16	this	this	DET
ajst-32566	45	17	step	step	NOUN
ajst-32566	45	18	[	[	X
ajst-32566	45	19	9	9	NUM
ajst-32566	45	20	]	]	PUNCT
ajst-32566	45	21	.	.	PUNCT
ajst-32566	46	1	secondly	secondly	ADV
ajst-32566	46	2	,	,	PUNCT
ajst-32566	46	3	features	feature	VERB
ajst-32566	46	4	in	in	ADP
ajst-32566	46	5	the	the	DET
ajst-32566	46	6	images	image	NOUN
ajst-32566	46	7	are	be	AUX
ajst-32566	46	8	reduced	reduce	VERB
ajst-32566	46	9	and	and	CCONJ
ajst-32566	46	10	normalized	normalize	VERB
ajst-32566	46	11	.	.	PUNCT
ajst-32566	47	1	dalvi	dalvi	PROPN
ajst-32566	47	2	,	,	PUNCT
ajst-32566	47	3	rathod	rathod	PROPN
ajst-32566	47	4	,	,	PUNCT
ajst-32566	47	5	patil	patil	PROPN
ajst-32566	47	6	,	,	PUNCT
ajst-32566	47	7	gite	gite	ADJ
ajst-32566	47	8	and	and	CCONJ
ajst-32566	47	9	kotecha	kotecha	PROPN
ajst-32566	47	10	suggests	suggest	VERB
ajst-32566	47	11	that	that	SCONJ
ajst-32566	47	12	illumination	illumination	NOUN
ajst-32566	47	13	and	and	CCONJ
ajst-32566	47	14	pose	pose	NOUN
ajst-32566	47	15	should	should	AUX
ajst-32566	47	16	be	be	AUX
ajst-32566	47	17	normalized	normalize	VERB
ajst-32566	47	18	in	in	ADP
ajst-32566	47	19	fer	fer	PROPN
ajst-32566	47	20	,	,	PUNCT
ajst-32566	47	21	in	in	ADP
ajst-32566	47	22	order	order	NOUN
ajst-32566	47	23	to	to	PART
ajst-32566	47	24	enhance	enhance	VERB
ajst-32566	47	25	the	the	DET
ajst-32566	47	26	capabilities	capability	NOUN
ajst-32566	47	27	of	of	ADP
ajst-32566	47	28	fer	fer	PROPN
ajst-32566	47	29	models	model	NOUN
ajst-32566	48	1	[	[	X
ajst-32566	48	2	6	6	NUM
ajst-32566	48	3	]	]	PUNCT
ajst-32566	48	4	.	.	PUNCT
ajst-32566	49	1	thirdly	thirdly	ADV
ajst-32566	49	2	,	,	PUNCT
ajst-32566	49	3	data	datum	NOUN
ajst-32566	49	4	are	be	AUX
ajst-32566	49	5	enhanced	enhance	VERB
ajst-32566	49	6	in	in	ADP
ajst-32566	49	7	the	the	DET
ajst-32566	49	8	face	face	NOUN
ajst-32566	49	9	of	of	ADP
ajst-32566	49	10	the	the	DET
ajst-32566	49	11	lack	lack	NOUN
ajst-32566	49	12	for	for	ADP
ajst-32566	49	13	data	datum	NOUN
ajst-32566	49	14	.	.	PUNCT
ajst-32566	50	1	this	this	PRON
ajst-32566	50	2	could	could	AUX
ajst-32566	50	3	be	be	AUX
ajst-32566	50	4	achieved	achieve	VERB
ajst-32566	50	5	by	by	ADP
ajst-32566	50	6	generating	generate	VERB
ajst-32566	50	7	poses	pose	NOUN
ajst-32566	50	8	,	,	PUNCT
ajst-32566	50	9	glasses	glass	NOUN
ajst-32566	50	10	and	and	CCONJ
ajst-32566	50	11	so	so	ADV
ajst-32566	50	12	on	on	ADP
ajst-32566	50	13	[	[	PUNCT
ajst-32566	50	14	10	10	NUM
ajst-32566	50	15	]	]	PUNCT
ajst-32566	50	16	.	.	PUNCT
ajst-32566	51	1	similar	similar	ADJ
ajst-32566	51	2	efforts	effort	NOUN
ajst-32566	51	3	are	be	AUX
ajst-32566	51	4	made	make	VERB
ajst-32566	51	5	in	in	ADP
ajst-32566	51	6	other	other	ADJ
ajst-32566	51	7	studies	study	NOUN
ajst-32566	51	8	,	,	PUNCT
ajst-32566	51	9	for	for	ADP
ajst-32566	51	10	example	example	NOUN
ajst-32566	51	11	,	,	PUNCT
ajst-32566	51	12	researchers	researcher	NOUN
ajst-32566	51	13	apply	apply	VERB
ajst-32566	51	14	two	two	NUM
ajst-32566	51	15	models	model	NOUN
ajst-32566	51	16	to	to	PART
ajst-32566	51	17	create	create	VERB
ajst-32566	51	18	facial	facial	ADJ
ajst-32566	51	19	expression	expression	NOUN
ajst-32566	51	20	images	image	NOUN
ajst-32566	51	21	[	[	X
ajst-32566	51	22	7	7	NUM
ajst-32566	51	23	]	]	PUNCT
ajst-32566	51	24	,	,	PUNCT
ajst-32566	51	25	as	as	SCONJ
ajst-32566	51	26	mentioned	mention	VERB
ajst-32566	51	27	above	above	ADV
ajst-32566	51	28	,	,	PUNCT
ajst-32566	51	29	in	in	ADP
ajst-32566	51	30	“	"	PUNCT
ajst-32566	51	31	1.1database	1.1database	NOUN
ajst-32566	51	32	”	"	PUNCT
ajst-32566	51	33	.	.	PUNCT
ajst-32566	52	1	2.1.3	2.1.3	NUM
ajst-32566	52	2	feature	feature	NOUN
ajst-32566	52	3	extraction	extraction	NOUN
ajst-32566	52	4	there	there	PRON
ajst-32566	52	5	are	be	VERB
ajst-32566	52	6	several	several	ADJ
ajst-32566	52	7	ways	way	NOUN
ajst-32566	52	8	to	to	PART
ajst-32566	52	9	extract	extract	VERB
ajst-32566	52	10	features	feature	NOUN
ajst-32566	52	11	from	from	ADP
ajst-32566	52	12	a	a	DET
ajst-32566	52	13	picture	picture	NOUN
ajst-32566	52	14	.	.	PUNCT
ajst-32566	53	1	global	global	ADJ
ajst-32566	53	2	and	and	CCONJ
ajst-32566	53	3	low	low	ADJ
ajst-32566	53	4	-	-	PUNCT
ajst-32566	53	5	dimensional	dimensional	ADJ
ajst-32566	53	6	features	feature	NOUN
ajst-32566	53	7	can	can	AUX
ajst-32566	53	8	be	be	AUX
ajst-32566	53	9	extracted	extract	VERB
ajst-32566	53	10	by	by	ADP
ajst-32566	53	11	principal	principal	ADJ
ajst-32566	53	12	component	component	NOUN
ajst-32566	53	13	analysis	analysis	NOUN
ajst-32566	53	14	(	(	PUNCT
ajst-32566	53	15	pca	pca	NOUN
ajst-32566	53	16	)	)	PUNCT
ajst-32566	53	17	,	,	PUNCT
ajst-32566	53	18	which	which	PRON
ajst-32566	53	19	is	be	AUX
ajst-32566	53	20	one	one	NUM
ajst-32566	53	21	of	of	ADP
ajst-32566	53	22	the	the	DET
ajst-32566	53	23	most	most	ADV
ajst-32566	53	24	widely	widely	ADV
ajst-32566	53	25	used	use	VERB
ajst-32566	53	26	way	way	NOUN
ajst-32566	53	27	in	in	ADP
ajst-32566	53	28	fer	fer	PROPN
ajst-32566	54	1	[	[	X
ajst-32566	54	2	6	6	NUM
ajst-32566	54	3	]	]	PUNCT
ajst-32566	54	4	.	.	PUNCT
ajst-32566	55	1	but	but	CCONJ
ajst-32566	55	2	if	if	SCONJ
ajst-32566	55	3	more	more	ADV
ajst-32566	55	4	detailed	detailed	ADJ
ajst-32566	55	5	features	feature	NOUN
ajst-32566	55	6	are	be	AUX
ajst-32566	55	7	needed	need	VERB
ajst-32566	55	8	,	,	PUNCT
ajst-32566	55	9	independent	independent	ADJ
ajst-32566	55	10	component	component	NOUN
ajst-32566	55	11	analysis	analysis	NOUN
ajst-32566	55	12	(	(	PUNCT
ajst-32566	55	13	ica	ica	PROPN
ajst-32566	55	14	)	)	PUNCT
ajst-32566	55	15	could	could	AUX
ajst-32566	55	16	be	be	AUX
ajst-32566	55	17	a	a	DET
ajst-32566	55	18	better	well	ADJ
ajst-32566	55	19	way	way	NOUN
ajst-32566	56	1	[	[	X
ajst-32566	56	2	6	6	NUM
ajst-32566	56	3	]	]	PUNCT
ajst-32566	56	4	.	.	PUNCT
ajst-32566	57	1	there	there	PRON
ajst-32566	57	2	are	be	VERB
ajst-32566	57	3	also	also	ADV
ajst-32566	57	4	methods	method	NOUN
ajst-32566	57	5	which	which	PRON
ajst-32566	57	6	can	can	AUX
ajst-32566	57	7	be	be	AUX
ajst-32566	57	8	useful	useful	ADJ
ajst-32566	57	9	in	in	ADP
ajst-32566	57	10	extracting	extract	VERB
ajst-32566	57	11	both	both	PRON
ajst-32566	57	12	global	global	ADJ
ajst-32566	57	13	features	feature	NOUN
ajst-32566	57	14	and	and	CCONJ
ajst-32566	57	15	local	local	ADJ
ajst-32566	57	16	features	feature	NOUN
ajst-32566	57	17	.	.	PUNCT
ajst-32566	58	1	for	for	ADP
ajst-32566	58	2	example	example	NOUN
ajst-32566	58	3	,	,	PUNCT
ajst-32566	58	4	there	there	PRON
ajst-32566	58	5	are	be	VERB
ajst-32566	58	6	methods	method	NOUN
ajst-32566	58	7	based	base	VERB
ajst-32566	58	8	on	on	ADP
ajst-32566	58	9	features	feature	NOUN
ajst-32566	58	10	regarding	regard	VERB
ajst-32566	58	11	texture	texture	NOUN
ajst-32566	58	12	,	,	PUNCT
ajst-32566	58	13	such	such	ADJ
ajst-32566	58	14	as	as	ADP
ajst-32566	58	15	using	use	VERB
ajst-32566	58	16	gabor	gabor	NOUN
ajst-32566	58	17	filter	filter	NOUN
ajst-32566	58	18	;	;	PUNCT
ajst-32566	58	19	we	we	PRON
ajst-32566	58	20	can	can	AUX
ajst-32566	58	21	also	also	ADV
ajst-32566	58	22	extract	extract	VERB
ajst-32566	58	23	features	feature	NOUN
ajst-32566	58	24	based	base	VERB
ajst-32566	58	25	on	on	ADP
ajst-32566	58	26	edges	edge	NOUN
ajst-32566	58	27	[	[	X
ajst-32566	58	28	6	6	NUM
ajst-32566	58	29	]	]	PUNCT
ajst-32566	58	30	.	.	PUNCT
ajst-32566	59	1	2.1.4	2.1.4	NUM
ajst-32566	59	2	machine	machine	NOUN
ajst-32566	59	3	learning	learning	NOUN
ajst-32566	59	4	in	in	ADP
ajst-32566	59	5	fer	fer	PROPN
ajst-32566	59	6	,	,	PUNCT
ajst-32566	59	7	convolutional	convolutional	ADJ
ajst-32566	59	8	neutral	neutral	ADJ
ajst-32566	59	9	network	network	NOUN
ajst-32566	59	10	(	(	PUNCT
ajst-32566	59	11	cnn	cnn	PROPN
ajst-32566	59	12	)	)	PUNCT
ajst-32566	59	13	is	be	AUX
ajst-32566	59	14	the	the	DET
ajst-32566	59	15	most	most	ADV
ajst-32566	59	16	popular	popular	ADJ
ajst-32566	59	17	and	and	CCONJ
ajst-32566	59	18	effective	effective	ADJ
ajst-32566	59	19	way	way	NOUN
ajst-32566	59	20	[	[	X
ajst-32566	59	21	6	6	NUM
ajst-32566	59	22	]	]	PUNCT
ajst-32566	59	23	.	.	PUNCT
ajst-32566	60	1	however	however	ADV
ajst-32566	60	2	,	,	PUNCT
ajst-32566	60	3	this	this	DET
ajst-32566	60	4	kind	kind	NOUN
ajst-32566	60	5	of	of	ADP
ajst-32566	60	6	unimodal	unimodal	ADJ
ajst-32566	60	7	system	system	NOUN
ajst-32566	60	8	has	have	VERB
ajst-32566	60	9	its	its	PRON
ajst-32566	60	10	own	own	ADJ
ajst-32566	60	11	limitations	limitation	NOUN
ajst-32566	60	12	.	.	PUNCT
ajst-32566	61	1	for	for	ADP
ajst-32566	61	2	example	example	NOUN
ajst-32566	61	3	,	,	PUNCT
ajst-32566	61	4	an	an	DET
ajst-32566	61	5	only	only	ADJ
ajst-32566	61	6	cnn	cnn	PROPN
ajst-32566	61	7	applied	apply	VERB
ajst-32566	61	8	in	in	ADP
ajst-32566	61	9	fer	fer	PROPN
ajst-32566	61	10	possesses	possess	VERB
ajst-32566	61	11	complex	complex	ADJ
ajst-32566	61	12	structure	structure	NOUN
ajst-32566	61	13	,	,	PUNCT
ajst-32566	61	14	too	too	ADV
ajst-32566	61	15	many	many	ADJ
ajst-32566	61	16	training	training	NOUN
ajst-32566	61	17	parameters	parameter	NOUN
ajst-32566	61	18	and	and	CCONJ
ajst-32566	61	19	unideal	unideal	NOUN
ajst-32566	61	20	identification	identification	NOUN
ajst-32566	61	21	results	result	NOUN
ajst-32566	61	22	[	[	X
ajst-32566	61	23	11	11	NUM
ajst-32566	61	24	]	]	PUNCT
ajst-32566	61	25	.	.	PUNCT
ajst-32566	62	1	hence	hence	ADV
ajst-32566	62	2	,	,	PUNCT
ajst-32566	62	3	qiao	qiao	PROPN
ajst-32566	62	4	,	,	PUNCT
ajst-32566	62	5	hou	hou	PROPN
ajst-32566	62	6	and	and	CCONJ
ajst-32566	62	7	liu	liu	PROPN
ajst-32566	62	8	introduce	introduce	VERB
ajst-32566	62	9	an	an	DET
ajst-32566	62	10	optimization	optimization	NOUN
ajst-32566	62	11	algorithm	algorithm	NOUN
ajst-32566	62	12	,	,	PUNCT
ajst-32566	62	13	in	in	ADP
ajst-32566	62	14	which	which	PRON
ajst-32566	62	15	cnn	cnn	PROPN
ajst-32566	62	16	is	be	AUX
ajst-32566	62	17	combined	combine	VERB
ajst-32566	62	18	with	with	ADP
ajst-32566	62	19	support	support	NOUN
ajst-32566	62	20	vector	vector	NOUN
ajst-32566	62	21	machine	machine	NOUN
ajst-32566	62	22	(	(	PUNCT
ajst-32566	62	23	svm	svm	PROPN
ajst-32566	62	24	)	)	PUNCT
ajst-32566	62	25	.	.	PUNCT
ajst-32566	63	1	this	this	DET
ajst-32566	63	2	new	new	ADJ
ajst-32566	63	3	method	method	NOUN
ajst-32566	63	4	consists	consist	VERB
ajst-32566	63	5	better	well	ADJ
ajst-32566	63	6	accuracy	accuracy	NOUN
ajst-32566	63	7	and	and	CCONJ
ajst-32566	63	8	robustness	robustness	NOUN
ajst-32566	63	9	,	,	PUNCT
ajst-32566	63	10	confirmed	confirm	VERB
ajst-32566	63	11	by	by	ADP
ajst-32566	63	12	examinations	examination	NOUN
ajst-32566	63	13	[	[	X
ajst-32566	63	14	11	11	NUM
ajst-32566	63	15	]	]	PUNCT
ajst-32566	63	16	.	.	PUNCT
ajst-32566	64	1	also	also	ADV
ajst-32566	64	2	used	use	VERB
ajst-32566	64	3	to	to	PART
ajst-32566	64	4	improve	improve	VERB
ajst-32566	64	5	cnn	cnn	PROPN
ajst-32566	64	6	’s	’s	PART
ajst-32566	64	7	capabilities	capability	NOUN
ajst-32566	64	8	on	on	ADP
ajst-32566	64	9	fer	fer	PROPN
ajst-32566	64	10	,	,	PUNCT
ajst-32566	64	11	three	three	NUM
ajst-32566	64	12	cnn	cnn	PROPN
ajst-32566	64	13	models	model	NOUN
ajst-32566	64	14	with	with	ADP
ajst-32566	64	15	223	223	NUM
ajst-32566	64	16	different	different	ADJ
ajst-32566	64	17	filters	filter	NOUN
ajst-32566	64	18	and	and	CCONJ
ajst-32566	64	19	layers	layer	NOUN
ajst-32566	64	20	are	be	AUX
ajst-32566	64	21	combined	combine	VERB
ajst-32566	64	22	to	to	PART
ajst-32566	64	23	distinguish	distinguish	VERB
ajst-32566	64	24	different	different	ADJ
ajst-32566	64	25	kinds	kind	NOUN
ajst-32566	64	26	of	of	ADP
ajst-32566	64	27	emotions	emotion	NOUN
ajst-32566	64	28	[	[	X
ajst-32566	64	29	12	12	NUM
ajst-32566	64	30	]	]	PUNCT
ajst-32566	64	31	.	.	PUNCT
ajst-32566	65	1	it	it	PRON
ajst-32566	65	2	can	can	AUX
ajst-32566	65	3	also	also	ADV
ajst-32566	65	4	enhance	enhance	VERB
ajst-32566	65	5	the	the	DET
ajst-32566	65	6	accuracy	accuracy	NOUN
ajst-32566	65	7	,	,	PUNCT
ajst-32566	65	8	though	though	SCONJ
ajst-32566	65	9	in	in	ADP
ajst-32566	65	10	a	a	DET
ajst-32566	65	11	limited	limited	ADJ
ajst-32566	65	12	extent	extent	NOUN
ajst-32566	65	13	.	.	PUNCT
ajst-32566	66	1	the	the	DET
ajst-32566	66	2	model	model	NOUN
ajst-32566	66	3	shown	show	VERB
ajst-32566	66	4	by	by	ADP
ajst-32566	66	5	wang	wang	PROPN
ajst-32566	66	6	also	also	ADV
ajst-32566	66	7	bases	base	VERB
ajst-32566	66	8	on	on	ADP
ajst-32566	66	9	cnn	cnn	PROPN
ajst-32566	66	10	.	.	PUNCT
ajst-32566	67	1	different	different	ADJ
ajst-32566	67	2	from	from	ADP
ajst-32566	67	3	other	other	ADJ
ajst-32566	67	4	methods	method	NOUN
ajst-32566	67	5	,	,	PUNCT
ajst-32566	67	6	this	this	DET
ajst-32566	67	7	measure	measure	NOUN
ajst-32566	67	8	divided	divide	VERB
ajst-32566	67	9	the	the	DET
ajst-32566	67	10	fer	fer	PROPN
ajst-32566	67	11	process	process	NOUN
ajst-32566	67	12	into	into	ADP
ajst-32566	67	13	two	two	NUM
ajst-32566	67	14	stages	stage	NOUN
ajst-32566	67	15	,	,	PUNCT
ajst-32566	67	16	namely	namely	ADV
ajst-32566	67	17	eser	eser	NOUN
ajst-32566	67	18	and	and	CCONJ
ajst-32566	67	19	ecer	ecer	NOUN
ajst-32566	67	20	.	.	PUNCT
ajst-32566	68	1	emotion	emotion	NOUN
ajst-32566	68	2	state	state	NOUN
ajst-32566	68	3	expression	expression	NOUN
ajst-32566	68	4	recognition	recognition	NOUN
ajst-32566	68	5	(	(	PUNCT
ajst-32566	68	6	eser	eser	NOUN
ajst-32566	68	7	)	)	PUNCT
ajst-32566	68	8	,	,	PUNCT
ajst-32566	68	9	which	which	PRON
ajst-32566	68	10	uses	use	VERB
ajst-32566	68	11	densenet169	densenet169	PROPN
ajst-32566	68	12	,	,	PUNCT
ajst-32566	68	13	vgg16	vgg16	NOUN
ajst-32566	68	14	and	and	CCONJ
ajst-32566	68	15	resnet50	resnet50	NOUN
ajst-32566	68	16	as	as	ADP
ajst-32566	68	17	basic	basic	ADJ
ajst-32566	68	18	models	model	NOUN
ajst-32566	68	19	,	,	PUNCT
ajst-32566	68	20	is	be	AUX
ajst-32566	68	21	responsible	responsible	ADJ
ajst-32566	68	22	to	to	PART
ajst-32566	68	23	identify	identify	VERB
ajst-32566	68	24	or	or	CCONJ
ajst-32566	68	25	classify	classify	VERB
ajst-32566	68	26	the	the	DET
ajst-32566	68	27	express	express	NOUN
ajst-32566	68	28	of	of	ADP
ajst-32566	68	29	emotion	emotion	NOUN
ajst-32566	68	30	states	state	NOUN
ajst-32566	68	31	[	[	X
ajst-32566	68	32	5	5	NUM
ajst-32566	68	33	]	]	PUNCT
ajst-32566	68	34	.	.	PUNCT
ajst-32566	69	1	among	among	ADP
ajst-32566	69	2	them	they	PRON
ajst-32566	69	3	,	,	PUNCT
ajst-32566	69	4	densenet169	densenet169	PROPN
ajst-32566	69	5	and	and	CCONJ
ajst-32566	69	6	vgg16	vgg16	PROPN
ajst-32566	69	7	build	build	NOUN
ajst-32566	69	8	on	on	ADP
ajst-32566	69	9	cnn	cnn	PROPN
ajst-32566	69	10	.	.	PUNCT
ajst-32566	70	1	emotion	emotion	NOUN
ajst-32566	70	2	cause	cause	VERB
ajst-32566	70	3	extraction	extraction	NOUN
ajst-32566	70	4	and	and	CCONJ
ajst-32566	70	5	recognition	recognition	NOUN
ajst-32566	70	6	(	(	PUNCT
ajst-32566	70	7	ecer	ecer	PROPN
ajst-32566	70	8	)	)	PUNCT
ajst-32566	70	9	,	,	PUNCT
ajst-32566	70	10	which	which	PRON
ajst-32566	70	11	employs	employ	VERB
ajst-32566	70	12	two	two	NUM
ajst-32566	70	13	models	model	NOUN
ajst-32566	70	14	,	,	PUNCT
ajst-32566	70	15	xception	xception	NOUN
ajst-32566	70	16	and	and	CCONJ
ajst-32566	70	17	vit	vit	NOUN
ajst-32566	70	18	,	,	PUNCT
ajst-32566	70	19	recognizes	recognize	VERB
ajst-32566	70	20	or	or	CCONJ
ajst-32566	70	21	extracts	extract	NOUN
ajst-32566	70	22	the	the	DET
ajst-32566	70	23	reason	reason	NOUN
ajst-32566	70	24	of	of	ADP
ajst-32566	70	25	the	the	DET
ajst-32566	70	26	arousal	arousal	NOUN
ajst-32566	70	27	of	of	ADP
ajst-32566	70	28	a	a	DET
ajst-32566	70	29	specific	specific	ADJ
ajst-32566	70	30	emotion	emotion	NOUN
ajst-32566	70	31	[	[	X
ajst-32566	70	32	5	5	NUM
ajst-32566	70	33	]	]	PUNCT
ajst-32566	70	34	.	.	PUNCT
ajst-32566	71	1	this	this	DET
ajst-32566	71	2	method	method	NOUN
ajst-32566	71	3	possesses	possess	VERB
ajst-32566	71	4	striking	striking	ADJ
ajst-32566	71	5	effectiveness	effectiveness	NOUN
ajst-32566	71	6	,	,	PUNCT
ajst-32566	71	7	with	with	ADP
ajst-32566	71	8	the	the	DET
ajst-32566	71	9	accuracy	accuracy	NOUN
ajst-32566	71	10	95	95	NUM
ajst-32566	71	11	%	%	NOUN
ajst-32566	71	12	in	in	ADP
ajst-32566	71	13	recognition	recognition	NOUN
ajst-32566	71	14	of	of	ADP
ajst-32566	71	15	basic	basic	ADJ
ajst-32566	71	16	emotions	emotion	NOUN
ajst-32566	71	17	and	and	CCONJ
ajst-32566	71	18	88	88	NUM
ajst-32566	71	19	%	%	NOUN
ajst-32566	71	20	in	in	ADP
ajst-32566	71	21	the	the	DET
ajst-32566	71	22	recognition	recognition	NOUN
ajst-32566	71	23	of	of	ADP
ajst-32566	71	24	mixed	mixed	ADJ
ajst-32566	71	25	emotions	emotion	NOUN
ajst-32566	71	26	.	.	PUNCT
ajst-32566	72	1	2.2	2.2	NUM
ajst-32566	72	2	speech	speech	NOUN
ajst-32566	72	3	emotion	emotion	NOUN
ajst-32566	72	4	recognition	recognition	NOUN
ajst-32566	72	5	(	(	PUNCT
ajst-32566	72	6	ser	ser	NOUN
ajst-32566	72	7	)	)	PUNCT
ajst-32566	72	8	speech	speech	NOUN
ajst-32566	72	9	emotion	emotion	NOUN
ajst-32566	72	10	recognition	recognition	NOUN
ajst-32566	72	11	(	(	PUNCT
ajst-32566	72	12	ser	ser	NOUN
ajst-32566	72	13	)	)	PUNCT
ajst-32566	72	14	includes	include	VERB
ajst-32566	72	15	two	two	NUM
ajst-32566	72	16	major	major	ADJ
ajst-32566	72	17	stages	stage	NOUN
ajst-32566	72	18	:	:	PUNCT
ajst-32566	72	19	feature	feature	NOUN
ajst-32566	72	20	extraction	extraction	NOUN
ajst-32566	72	21	and	and	CCONJ
ajst-32566	72	22	classification	classification	NOUN
ajst-32566	72	23	[	[	X
ajst-32566	72	24	13	13	NUM
ajst-32566	72	25	]	]	PUNCT
ajst-32566	72	26	.	.	PUNCT
ajst-32566	73	1	using	use	VERB
ajst-32566	73	2	convolutional	convolutional	ADJ
ajst-32566	73	3	neural	neural	ADJ
ajst-32566	73	4	network	network	NOUN
ajst-32566	73	5	(	(	PUNCT
ajst-32566	73	6	cnn	cnn	PROPN
ajst-32566	73	7	)	)	PUNCT
ajst-32566	73	8	is	be	AUX
ajst-32566	73	9	one	one	NUM
ajst-32566	73	10	of	of	ADP
ajst-32566	73	11	the	the	DET
ajst-32566	73	12	methods	method	NOUN
ajst-32566	73	13	(	(	PUNCT
ajst-32566	73	14	with	with	ADP
ajst-32566	73	15	two	two	NUM
ajst-32566	73	16	phases	phase	NOUN
ajst-32566	73	17	:	:	PUNCT
ajst-32566	73	18	initially	initially	ADV
ajst-32566	73	19	,	,	PUNCT
ajst-32566	73	20	a	a	DET
ajst-32566	73	21	sparse	sparse	ADJ
ajst-32566	73	22	auto	auto	NOUN
ajst-32566	73	23	-	-	PUNCT
ajst-32566	73	24	encoder	encoder	NOUN
ajst-32566	73	25	(	(	PUNCT
ajst-32566	73	26	sae	sae	PROPN
ajst-32566	73	27	)	)	PUNCT
ajst-32566	73	28	with	with	SCONJ
ajst-32566	73	29	reconstruction	reconstruction	NOUN
ajst-32566	73	30	segregation	segregation	NOUN
ajst-32566	73	31	is	be	AUX
ajst-32566	73	32	employed	employ	VERB
ajst-32566	73	33	to	to	PART
ajst-32566	73	34	extract	extract	VERB
ajst-32566	73	35	the	the	DET
ajst-32566	73	36	local	local	ADJ
ajst-32566	73	37	invariant	invariant	ADJ
ajst-32566	73	38	features	feature	NOUN
ajst-32566	73	39	(	(	PUNCT
ajst-32566	73	40	lifs	lif	NOUN
ajst-32566	73	41	)	)	PUNCT
ajst-32566	73	42	from	from	ADP
ajst-32566	73	43	unlabeled	unlabeled	ADJ
ajst-32566	73	44	data	datum	NOUN
ajst-32566	73	45	;	;	PUNCT
ajst-32566	73	46	then	then	ADV
ajst-32566	73	47	,	,	PUNCT
ajst-32566	73	48	these	these	DET
ajst-32566	73	49	lifs	lif	NOUN
ajst-32566	73	50	are	be	AUX
ajst-32566	73	51	fed	feed	VERB
ajst-32566	73	52	into	into	ADP
ajst-32566	73	53	a	a	DET
ajst-32566	73	54	feature	feature	NOUN
ajst-32566	73	55	extractor	extractor	NOUN
ajst-32566	73	56	for	for	ADP
ajst-32566	73	57	further	further	ADJ
ajst-32566	73	58	analysis	analysis	NOUN
ajst-32566	73	59	)	)	PUNCT
ajst-32566	74	1	[	[	X
ajst-32566	74	2	14	14	NUM
ajst-32566	74	3	]	]	PUNCT
ajst-32566	74	4	.	.	PUNCT
ajst-32566	75	1	researchers	researcher	NOUN
ajst-32566	75	2	also	also	ADV
ajst-32566	75	3	consider	consider	VERB
ajst-32566	75	4	using	use	VERB
ajst-32566	75	5	semi	semi	ADJ
ajst-32566	75	6	-	-	NOUN
ajst-32566	75	7	cnn	cnn	NOUN
ajst-32566	75	8	firstly	firstly	ADV
ajst-32566	75	9	,	,	PUNCT
ajst-32566	75	10	and	and	CCONJ
ajst-32566	75	11	then	then	ADV
ajst-32566	75	12	extract	extract	VERB
ajst-32566	75	13	features	feature	NOUN
ajst-32566	75	14	from	from	ADP
ajst-32566	75	15	contractive	contractive	ADJ
ajst-32566	75	16	convolutional	convolutional	ADJ
ajst-32566	75	17	network	network	NOUN
ajst-32566	75	18	[	[	X
ajst-32566	75	19	15	15	NUM
ajst-32566	75	20	]	]	PUNCT
ajst-32566	75	21	.	.	PUNCT
ajst-32566	76	1	2.3	2.3	NUM
ajst-32566	76	2	emotion	emotion	NOUN
ajst-32566	76	3	recognition	recognition	NOUN
ajst-32566	76	4	from	from	ADP
ajst-32566	76	5	physiological	physiological	ADJ
ajst-32566	76	6	signals	signal	NOUN
ajst-32566	76	7	compared	compare	VERB
ajst-32566	76	8	with	with	ADP
ajst-32566	76	9	emotion	emotion	NOUN
ajst-32566	76	10	recognition	recognition	NOUN
ajst-32566	76	11	based	base	VERB
ajst-32566	76	12	on	on	ADP
ajst-32566	76	13	the	the	DET
ajst-32566	76	14	analysis	analysis	NOUN
ajst-32566	76	15	of	of	ADP
ajst-32566	76	16	facial	facial	ADJ
ajst-32566	76	17	expressions	expression	NOUN
ajst-32566	76	18	and	and	CCONJ
ajst-32566	76	19	speeches	speech	NOUN
ajst-32566	76	20	,	,	PUNCT
ajst-32566	76	21	technology	technology	NOUN
ajst-32566	76	22	focused	focus	VERB
ajst-32566	76	23	on	on	ADP
ajst-32566	76	24	physiological	physiological	ADJ
ajst-32566	76	25	signals	signal	NOUN
ajst-32566	76	26	are	be	AUX
ajst-32566	76	27	much	much	ADV
ajst-32566	76	28	more	more	ADV
ajst-32566	76	29	passive	passive	ADJ
ajst-32566	76	30	[	[	X
ajst-32566	76	31	1	1	NUM
ajst-32566	76	32	]	]	PUNCT
ajst-32566	76	33	.	.	PUNCT
ajst-32566	77	1	that	that	PRON
ajst-32566	77	2	is	be	AUX
ajst-32566	77	3	because	because	SCONJ
ajst-32566	77	4	,	,	PUNCT
ajst-32566	77	5	it	it	PRON
ajst-32566	77	6	’s	’	VERB
ajst-32566	77	7	nearly	nearly	ADV
ajst-32566	77	8	impossible	impossible	ADJ
ajst-32566	77	9	for	for	SCONJ
ajst-32566	77	10	a	a	DET
ajst-32566	77	11	person	person	NOUN
ajst-32566	77	12	to	to	PART
ajst-32566	77	13	control	control	VERB
ajst-32566	77	14	his	his	PRON
ajst-32566	77	15	or	or	CCONJ
ajst-32566	77	16	her	her	PRON
ajst-32566	77	17	brain	brain	NOUN
ajst-32566	77	18	activities	activity	NOUN
ajst-32566	77	19	[	[	X
ajst-32566	77	20	16	16	NUM
ajst-32566	77	21	]	]	PUNCT
ajst-32566	77	22	,	,	PUNCT
ajst-32566	77	23	suggesting	suggest	VERB
ajst-32566	77	24	subjects	subject	NOUN
ajst-32566	77	25	to	to	PART
ajst-32566	77	26	be	be	AUX
ajst-32566	77	27	less	less	ADV
ajst-32566	77	28	capable	capable	ADJ
ajst-32566	77	29	of	of	ADP
ajst-32566	77	30	hiding	hide	VERB
ajst-32566	77	31	their	their	PRON
ajst-32566	77	32	emotions	emotion	NOUN
ajst-32566	77	33	deliberately	deliberately	ADV
ajst-32566	77	34	or	or	CCONJ
ajst-32566	77	35	unconsciously	unconsciously	ADV
ajst-32566	77	36	.	.	PUNCT
ajst-32566	78	1	thus	thus	ADV
ajst-32566	78	2	,	,	PUNCT
ajst-32566	78	3	emotion	emotion	NOUN
ajst-32566	78	4	recognition	recognition	NOUN
ajst-32566	78	5	from	from	ADP
ajst-32566	78	6	physiological	physiological	ADJ
ajst-32566	78	7	signals	signal	NOUN
ajst-32566	78	8	could	could	AUX
ajst-32566	78	9	be	be	AUX
ajst-32566	78	10	a	a	DET
ajst-32566	78	11	rather	rather	ADV
ajst-32566	78	12	good	good	ADJ
ajst-32566	78	13	way	way	NOUN
ajst-32566	78	14	for	for	ADP
ajst-32566	78	15	emotion	emotion	NOUN
ajst-32566	78	16	recognition	recognition	NOUN
ajst-32566	78	17	.	.	PUNCT
ajst-32566	79	1	2.3.1	2.3.1	NUM
ajst-32566	79	2	electroencephalographic	electroencephalographic	ADJ
ajst-32566	79	3	(	(	PUNCT
ajst-32566	79	4	eeg	eeg	NOUN
ajst-32566	79	5	)	)	PUNCT
ajst-32566	79	6	signals	signal	VERB
ajst-32566	79	7	some	some	DET
ajst-32566	79	8	features	feature	NOUN
ajst-32566	79	9	extracted	extract	VERB
ajst-32566	79	10	from	from	ADP
ajst-32566	79	11	eeg	eeg	NOUN
ajst-32566	79	12	signals	signal	NOUN
ajst-32566	79	13	can	can	AUX
ajst-32566	79	14	reflect	reflect	VERB
ajst-32566	79	15	several	several	ADJ
ajst-32566	79	16	specific	specific	ADJ
ajst-32566	79	17	emotional	emotional	ADJ
ajst-32566	79	18	states	state	NOUN
ajst-32566	79	19	of	of	ADP
ajst-32566	79	20	individuals	individual	NOUN
ajst-32566	79	21	.	.	PUNCT
ajst-32566	80	1	for	for	ADP
ajst-32566	80	2	example	example	NOUN
ajst-32566	80	3	,	,	PUNCT
ajst-32566	80	4	the	the	DET
ajst-32566	80	5	alpha	alpha	NOUN
ajst-32566	80	6	and	and	CCONJ
ajst-32566	80	7	beta	beta	NOUN
ajst-32566	80	8	bands	band	NOUN
ajst-32566	80	9	correspond	correspond	VERB
ajst-32566	80	10	to	to	ADP
ajst-32566	80	11	positive	positive	ADJ
ajst-32566	80	12	emotions	emotion	NOUN
ajst-32566	80	13	regarding	regard	VERB
ajst-32566	80	14	evaluating	evaluate	VERB
ajst-32566	80	15	oneself	oneself	PRON
ajst-32566	80	16	,	,	PUNCT
ajst-32566	80	17	such	such	ADJ
ajst-32566	80	18	as	as	ADP
ajst-32566	80	19	gratefulness	gratefulness	NOUN
ajst-32566	80	20	,	,	PUNCT
ajst-32566	80	21	inspiration	inspiration	NOUN
ajst-32566	80	22	and	and	CCONJ
ajst-32566	80	23	pride	pride	NOUN
ajst-32566	80	24	;	;	PUNCT
ajst-32566	80	25	the	the	DET
ajst-32566	80	26	theta	theta	NOUN
ajst-32566	80	27	and	and	CCONJ
ajst-32566	80	28	gamma	gamma	NOUN
ajst-32566	80	29	bands	band	NOUN
ajst-32566	80	30	are	be	AUX
ajst-32566	80	31	associated	associate	VERB
ajst-32566	80	32	with	with	ADP
ajst-32566	80	33	pleasurable	pleasurable	ADJ
ajst-32566	80	34	emotions	emotion	NOUN
ajst-32566	80	35	such	such	ADJ
ajst-32566	80	36	as	as	ADP
ajst-32566	80	37	entertainment	entertainment	NOUN
ajst-32566	80	38	,	,	PUNCT
ajst-32566	80	39	interest	interest	NOUN
ajst-32566	80	40	and	and	CCONJ
ajst-32566	80	41	delight	delight	NOUN
ajst-32566	80	42	[	[	X
ajst-32566	80	43	22	22	NUM
ajst-32566	80	44	]	]	PUNCT
ajst-32566	80	45	.	.	PUNCT
ajst-32566	81	1	hence	hence	ADV
ajst-32566	81	2	,	,	PUNCT
ajst-32566	81	3	numerous	numerous	ADJ
ajst-32566	81	4	researches	research	NOUN
ajst-32566	81	5	employ	employ	VERB
ajst-32566	81	6	eeg	eeg	NOUN
ajst-32566	81	7	signals	signal	NOUN
ajst-32566	81	8	to	to	PART
ajst-32566	81	9	detect	detect	VERB
ajst-32566	81	10	people	people	NOUN
ajst-32566	81	11	’s	’s	PART
ajst-32566	81	12	reactions	reaction	NOUN
ajst-32566	81	13	to	to	ADP
ajst-32566	81	14	external	external	ADJ
ajst-32566	81	15	stimuli	stimulus	NOUN
ajst-32566	81	16	[	[	X
ajst-32566	81	17	22	22	NUM
ajst-32566	81	18	]	]	PUNCT
ajst-32566	81	19	.	.	PUNCT
ajst-32566	82	1	2.3.1.1	2.3.1.1	NUM
ajst-32566	82	2	.	.	PUNCT
ajst-32566	82	3	feature	feature	NOUN
ajst-32566	82	4	extraction	extraction	NOUN
ajst-32566	82	5	there	there	PRON
ajst-32566	82	6	are	be	VERB
ajst-32566	82	7	several	several	ADJ
ajst-32566	82	8	methods	method	NOUN
ajst-32566	82	9	of	of	ADP
ajst-32566	82	10	feature	feature	NOUN
ajst-32566	82	11	extraction	extraction	NOUN
ajst-32566	82	12	developed	develop	VERB
ajst-32566	82	13	.	.	PUNCT
ajst-32566	83	1	in	in	ADP
ajst-32566	83	2	the	the	DET
ajst-32566	83	3	experiment	experiment	NOUN
ajst-32566	83	4	conducted	conduct	VERB
ajst-32566	83	5	by	by	ADP
ajst-32566	83	6	chaudary	chaudary	PROPN
ajst-32566	83	7	,	,	PUNCT
ajst-32566	83	8	khan	khan	PROPN
ajst-32566	83	9	and	and	CCONJ
ajst-32566	83	10	mumtaz	mumtaz	PROPN
ajst-32566	83	11	,	,	PUNCT
ajst-32566	83	12	a	a	DET
ajst-32566	83	13	large	large	ADJ
ajst-32566	83	14	language	language	NOUN
ajst-32566	83	15	model	model	NOUN
ajst-32566	83	16	called	call	VERB
ajst-32566	83	17	gpt-4	gpt-4	X
ajst-32566	83	18	is	be	AUX
ajst-32566	83	19	applied	apply	VERB
ajst-32566	83	20	in	in	ADP
ajst-32566	83	21	the	the	DET
ajst-32566	83	22	hybrid	hybrid	ADJ
ajst-32566	83	23	cnnlstm	cnnlstm	NOUN
ajst-32566	83	24	-	-	PUNCT
ajst-32566	83	25	llm	llm	NOUN
ajst-32566	83	26	framework	framework	NOUN
ajst-32566	83	27	[	[	X
ajst-32566	83	28	16	16	NUM
ajst-32566	83	29	]	]	PUNCT
ajst-32566	83	30	.	.	PUNCT
ajst-32566	84	1	in	in	ADP
ajst-32566	84	2	this	this	DET
ajst-32566	84	3	framework	framework	NOUN
ajst-32566	84	4	,	,	PUNCT
ajst-32566	84	5	cnns	cnn	NOUN
ajst-32566	84	6	aim	aim	VERB
ajst-32566	84	7	to	to	PART
ajst-32566	84	8	detect	detect	VERB
ajst-32566	84	9	spatial	spatial	ADJ
ajst-32566	84	10	information	information	NOUN
ajst-32566	84	11	,	,	PUNCT
ajst-32566	84	12	with	with	ADP
ajst-32566	84	13	lstms	lstms	NOUN
ajst-32566	84	14	intended	intend	VERB
ajst-32566	84	15	for	for	ADP
ajst-32566	84	16	the	the	DET
ajst-32566	84	17	extraction	extraction	NOUN
ajst-32566	84	18	of	of	ADP
ajst-32566	84	19	temporal	temporal	ADJ
ajst-32566	84	20	features	feature	NOUN
ajst-32566	84	21	and	and	CCONJ
ajst-32566	84	22	llms	llm	NOUN
ajst-32566	84	23	applied	apply	VERB
ajst-32566	84	24	to	to	PART
ajst-32566	84	25	reason	reason	VERB
ajst-32566	84	26	the	the	DET
ajst-32566	84	27	signals	signal	NOUN
ajst-32566	84	28	by	by	ADP
ajst-32566	84	29	transforming	transform	VERB
ajst-32566	84	30	them	they	PRON
ajst-32566	84	31	into	into	ADP
ajst-32566	84	32	vector	vector	NOUN
ajst-32566	84	33	embedding	embed	VERB
ajst-32566	84	34	.	.	PUNCT
ajst-32566	85	1	using	use	VERB
ajst-32566	85	2	this	this	DET
ajst-32566	85	3	method	method	NOUN
ajst-32566	85	4	,	,	PUNCT
ajst-32566	85	5	it	it	PRON
ajst-32566	85	6	attains	attain	VERB
ajst-32566	85	7	60.3	60.3	NUM
ajst-32566	85	8	%	%	NOUN
ajst-32566	85	9	accuracy	accuracy	NOUN
ajst-32566	85	10	in	in	ADP
ajst-32566	85	11	three	three	NUM
ajst-32566	85	12	-	-	PUNCT
ajst-32566	85	13	class	class	NOUN
ajst-32566	85	14	emotion	emotion	NOUN
ajst-32566	85	15	recognition	recognition	NOUN
ajst-32566	85	16	.	.	PUNCT
ajst-32566	86	1	the	the	DET
ajst-32566	86	2	author	author	NOUN
ajst-32566	86	3	of	of	ADP
ajst-32566	86	4	[	[	X
ajst-32566	86	5	16	16	NUM
ajst-32566	86	6	]	]	PUNCT
ajst-32566	86	7	also	also	ADV
ajst-32566	86	8	suggests	suggest	VERB
ajst-32566	86	9	that	that	SCONJ
ajst-32566	86	10	the	the	DET
ajst-32566	86	11	challenges	challenge	NOUN
ajst-32566	86	12	in	in	ADP
ajst-32566	86	13	this	this	DET
ajst-32566	86	14	technology	technology	NOUN
ajst-32566	86	15	focus	focus	NOUN
ajst-32566	86	16	on	on	ADP
ajst-32566	86	17	the	the	DET
ajst-32566	86	18	prediction	prediction	NOUN
ajst-32566	86	19	of	of	ADP
ajst-32566	86	20	positive	positive	ADJ
ajst-32566	86	21	moods	mood	NOUN
ajst-32566	86	22	(	(	PUNCT
ajst-32566	86	23	which	which	PRON
ajst-32566	86	24	are	be	AUX
ajst-32566	86	25	likely	likely	ADJ
ajst-32566	86	26	to	to	PART
ajst-32566	86	27	be	be	AUX
ajst-32566	86	28	overestimated	overestimate	VERB
ajst-32566	86	29	)	)	PUNCT
ajst-32566	86	30	and	and	CCONJ
ajst-32566	86	31	neutral	neutral	ADJ
ajst-32566	86	32	ones	one	NOUN
ajst-32566	86	33	.	.	PUNCT
ajst-32566	87	1	in	in	ADP
ajst-32566	87	2	the	the	DET
ajst-32566	87	3	research	research	NOUN
ajst-32566	87	4	done	do	VERB
ajst-32566	87	5	by	by	ADP
ajst-32566	87	6	mehmood	mehmood	PROPN
ajst-32566	87	7	and	and	CCONJ
ajst-32566	87	8	lee	lee	PROPN
ajst-32566	87	9	,	,	PUNCT
ajst-32566	87	10	hjorth	hjorth	NOUN
ajst-32566	87	11	parameters	parameter	NOUN
ajst-32566	87	12	are	be	AUX
ajst-32566	87	13	employed	employ	VERB
ajst-32566	87	14	to	to	PART
ajst-32566	87	15	detect	detect	VERB
ajst-32566	87	16	features	feature	NOUN
ajst-32566	87	17	after	after	ADP
ajst-32566	87	18	the	the	DET
ajst-32566	87	19	pretreatment	pretreatment	NOUN
ajst-32566	87	20	of	of	ADP
ajst-32566	87	21	the	the	DET
ajst-32566	87	22	input	input	NOUN
ajst-32566	87	23	of	of	ADP
ajst-32566	87	24	eeg	eeg	NOUN
ajst-32566	87	25	signals	signal	NOUN
ajst-32566	87	26	with	with	ADP
ajst-32566	87	27	the	the	DET
ajst-32566	87	28	help	help	NOUN
ajst-32566	87	29	of	of	ADP
ajst-32566	87	30	svm	svm	PROPN
ajst-32566	87	31	[	[	X
ajst-32566	87	32	17	17	NUM
ajst-32566	87	33	]	]	X
ajst-32566	87	34	;	;	PUNCT
ajst-32566	87	35	in	in	ADP
ajst-32566	87	36	the	the	DET
ajst-32566	87	37	study	study	NOUN
ajst-32566	87	38	conducted	conduct	VERB
ajst-32566	87	39	by	by	ADP
ajst-32566	87	40	sohaib	sohaib	PROPN
ajst-32566	87	41	,	,	PUNCT
ajst-32566	87	42	qureshi	qureshi	PROPN
ajst-32566	87	43	,	,	PUNCT
ajst-32566	87	44	hagelb¨ack	hagelb¨ack	PROPN
ajst-32566	87	45	,	,	PUNCT
ajst-32566	87	46	hilborn	hilborn	ADJ
ajst-32566	87	47	,	,	PUNCT
ajst-32566	87	48	jerˇci´c	jerˇci´c	PROPN
ajst-32566	87	49	and	and	CCONJ
ajst-32566	87	50	petar	petar	PROPN
ajst-32566	87	51	,	,	PUNCT
ajst-32566	87	52	higherorder	higherorder	NOUN
ajst-32566	87	53	crossings	crossing	NOUN
ajst-32566	87	54	analysis	analysis	NOUN
ajst-32566	87	55	is	be	AUX
ajst-32566	87	56	applied	apply	VERB
ajst-32566	87	57	[	[	PUNCT
ajst-32566	87	58	1	1	NUM
ajst-32566	87	59	]	]	PUNCT
ajst-32566	87	60	.	.	PUNCT
ajst-32566	88	1	when	when	SCONJ
ajst-32566	88	2	it	it	PRON
ajst-32566	88	3	comes	come	VERB
ajst-32566	88	4	to	to	ADP
ajst-32566	88	5	extracting	extract	VERB
ajst-32566	88	6	eeg	eeg	NOUN
ajst-32566	88	7	features	feature	NOUN
ajst-32566	88	8	,	,	PUNCT
ajst-32566	88	9	there	there	PRON
ajst-32566	88	10	is	be	VERB
ajst-32566	88	11	a	a	DET
ajst-32566	88	12	common	common	ADJ
ajst-32566	88	13	challenge	challenge	NOUN
ajst-32566	88	14	:	:	PUNCT
ajst-32566	88	15	too	too	ADV
ajst-32566	88	16	many	many	ADJ
ajst-32566	88	17	noises	noise	NOUN
ajst-32566	88	18	.	.	PUNCT
ajst-32566	89	1	the	the	DET
ajst-32566	89	2	noises	noise	NOUN
ajst-32566	89	3	range	range	VERB
ajst-32566	89	4	from	from	ADP
ajst-32566	89	5	physiological	physiological	ADJ
ajst-32566	89	6	artifacts	artifact	NOUN
ajst-32566	89	7	(	(	PUNCT
ajst-32566	89	8	say	say	INTJ
ajst-32566	89	9	,	,	PUNCT
ajst-32566	89	10	muscle	muscle	NOUN
ajst-32566	89	11	activity	activity	NOUN
ajst-32566	89	12	and	and	CCONJ
ajst-32566	89	13	eye	eye	NOUN
ajst-32566	89	14	movements	movement	NOUN
ajst-32566	89	15	)	)	PUNCT
ajst-32566	89	16	to	to	ADP
ajst-32566	89	17	environmental	environmental	ADJ
ajst-32566	89	18	artifacts	artifact	NOUN
ajst-32566	89	19	(	(	PUNCT
ajst-32566	89	20	say	say	INTJ
ajst-32566	89	21	,	,	PUNCT
ajst-32566	89	22	power	power	NOUN
ajst-32566	89	23	lines	line	NOUN
ajst-32566	89	24	interference	interference	VERB
ajst-32566	89	25	,	,	PUNCT
ajst-32566	89	26	radiation	radiation	NOUN
ajst-32566	89	27	from	from	ADP
ajst-32566	89	28	lights	light	NOUN
ajst-32566	89	29	and	and	CCONJ
ajst-32566	89	30	other	other	ADJ
ajst-32566	89	31	radio	radio	NOUN
ajst-32566	89	32	frequency	frequency	NOUN
ajst-32566	89	33	emissions	emission	NOUN
ajst-32566	89	34	from	from	ADP
ajst-32566	89	35	medical	medical	ADJ
ajst-32566	89	36	devices	device	NOUN
ajst-32566	89	37	)	)	PUNCT
ajst-32566	90	1	[	[	X
ajst-32566	90	2	16	16	NUM
ajst-32566	90	3	]	]	PUNCT
ajst-32566	90	4	.	.	PUNCT
ajst-32566	91	1	this	this	PRON
ajst-32566	91	2	poses	pose	VERB
ajst-32566	91	3	a	a	DET
ajst-32566	91	4	huge	huge	ADJ
ajst-32566	91	5	challenge	challenge	NOUN
ajst-32566	91	6	to	to	ADP
ajst-32566	91	7	accurate	accurate	ADJ
ajst-32566	91	8	emotion	emotion	NOUN
ajst-32566	91	9	recognition	recognition	NOUN
ajst-32566	91	10	based	base	VERB
ajst-32566	91	11	on	on	ADP
ajst-32566	91	12	eeg	eeg	NOUN
ajst-32566	91	13	signals	signal	NOUN
ajst-32566	91	14	.	.	PUNCT
ajst-32566	92	1	to	to	PART
ajst-32566	92	2	mitigate	mitigate	VERB
ajst-32566	92	3	this	this	DET
ajst-32566	92	4	problem	problem	NOUN
ajst-32566	92	5	,	,	PUNCT
ajst-32566	92	6	saha	saha	NOUN
ajst-32566	92	7	,	,	PUNCT
ajst-32566	92	8	kunju	kunju	PROPN
ajst-32566	92	9	,	,	PUNCT
ajst-32566	92	10	majid	majid	PROPN
ajst-32566	92	11	,	,	PUNCT
ajst-32566	92	12	kashem	kashem	PROPN
ajst-32566	92	13	,	,	PUNCT
ajst-32566	92	14	nashbat	nashbat	NOUN
ajst-32566	92	15	,	,	PUNCT
ajst-32566	92	16	ashraf	ashraf	PROPN
ajst-32566	92	17	,	,	PUNCT
ajst-32566	92	18	hasan	hasan	PROPN
ajst-32566	92	19	,	,	PUNCT
ajst-32566	92	20	khandakar	khandakar	PROPN
ajst-32566	92	21	,	,	PUNCT
ajst-32566	92	22	hossain	hossain	PROPN
ajst-32566	92	23	,	,	PUNCT
ajst-32566	92	24	alqahtani	alqahtani	PROPN
ajst-32566	92	25	and	and	CCONJ
ajst-32566	92	26	chowdhury	chowdhury	PROPN
ajst-32566	92	27	introduce	introduce	VERB
ajst-32566	92	28	a	a	DET
ajst-32566	92	29	one	one	NUM
ajst-32566	92	30	-	-	PUNCT
ajst-32566	92	31	dimensional	dimensional	ADJ
ajst-32566	92	32	deep	deep	ADJ
ajst-32566	92	33	learning	learning	NOUN
ajst-32566	92	34	model	model	NOUN
ajst-32566	92	35	,	,	PUNCT
ajst-32566	92	36	multiresunet3p	multiresunet3p	PROPN
ajst-32566	92	37	,	,	PUNCT
ajst-32566	92	38	which	which	PRON
ajst-32566	92	39	helps	help	VERB
ajst-32566	92	40	effectively	effectively	ADV
ajst-32566	92	41	generate	generate	VERB
ajst-32566	92	42	clean	clean	ADJ
ajst-32566	92	43	eeg	eeg	NOUN
ajst-32566	92	44	signals	signal	NOUN
ajst-32566	92	45	[	[	X
ajst-32566	92	46	23	23	NUM
ajst-32566	92	47	]	]	PUNCT
ajst-32566	92	48	.	.	PUNCT
ajst-32566	93	1	224	224	NUM
ajst-32566	93	2	2.3.1.2	2.3.1.2	NUM
ajst-32566	93	3	machine	machine	NOUN
ajst-32566	93	4	learning	learn	VERB
ajst-32566	93	5	technology	technology	NOUN
ajst-32566	93	6	there	there	PRON
ajst-32566	93	7	are	be	VERB
ajst-32566	93	8	five	five	NUM
ajst-32566	93	9	main	main	ADJ
ajst-32566	93	10	related	relate	VERB
ajst-32566	93	11	kinds	kind	NOUN
ajst-32566	93	12	of	of	ADP
ajst-32566	93	13	machine	machine	NOUN
ajst-32566	93	14	learning	learn	VERB
ajst-32566	93	15	technology	technology	NOUN
ajst-32566	94	1	[	[	X
ajst-32566	94	2	1	1	NUM
ajst-32566	94	3	]	]	PUNCT
ajst-32566	94	4	.	.	PUNCT
ajst-32566	95	1	they	they	PRON
ajst-32566	95	2	are	be	AUX
ajst-32566	95	3	:	:	PUNCT
ajst-32566	95	4	k	k	ADJ
ajst-32566	95	5	-	-	PUNCT
ajst-32566	95	6	nearest	near	ADJ
ajst-32566	95	7	neighbor	neighbor	NOUN
ajst-32566	95	8	(	(	PUNCT
ajst-32566	95	9	knn	knn	PROPN
ajst-32566	95	10	)	)	PUNCT
ajst-32566	95	11	,	,	PUNCT
ajst-32566	95	12	regression	regression	NOUN
ajst-32566	95	13	tree	tree	NOUN
ajst-32566	95	14	(	(	PUNCT
ajst-32566	95	15	rt	rt	NOUN
ajst-32566	95	16	)	)	PUNCT
ajst-32566	95	17	,	,	PUNCT
ajst-32566	95	18	bayesian	bayesian	NOUN
ajst-32566	95	19	network	network	NOUN
ajst-32566	95	20	(	(	PUNCT
ajst-32566	95	21	bnt	bnt	PROPN
ajst-32566	95	22	)	)	PUNCT
ajst-32566	95	23	,	,	PUNCT
ajst-32566	95	24	support	support	NOUN
ajst-32566	95	25	vector	vector	NOUN
ajst-32566	95	26	machine	machine	NOUN
ajst-32566	95	27	(	(	PUNCT
ajst-32566	95	28	svm	svm	PROPN
ajst-32566	95	29	)	)	PUNCT
ajst-32566	95	30	and	and	CCONJ
ajst-32566	95	31	artificial	artificial	ADJ
ajst-32566	95	32	neural	neural	ADJ
ajst-32566	95	33	network	network	NOUN
ajst-32566	95	34	(	(	PUNCT
ajst-32566	95	35	ann	ann	PROPN
ajst-32566	95	36	)	)	PUNCT
ajst-32566	95	37	.	.	PUNCT
ajst-32566	96	1	in	in	ADP
ajst-32566	96	2	the	the	DET
ajst-32566	96	3	experiment	experiment	NOUN
ajst-32566	96	4	,	,	PUNCT
ajst-32566	96	5	svm	svm	PROPN
ajst-32566	96	6	is	be	AUX
ajst-32566	96	7	shown	show	VERB
ajst-32566	96	8	the	the	DET
ajst-32566	96	9	best	good	ADJ
ajst-32566	96	10	classifier	classifier	NOUN
ajst-32566	96	11	(	(	PUNCT
ajst-32566	96	12	with	with	ADP
ajst-32566	96	13	a	a	DET
ajst-32566	96	14	highest	high	ADJ
ajst-32566	96	15	accuracy	accuracy	NOUN
ajst-32566	96	16	77.78	77.78	NUM
ajst-32566	96	17	%	%	NOUN
ajst-32566	96	18	)	)	PUNCT
ajst-32566	96	19	,	,	PUNCT
ajst-32566	96	20	while	while	SCONJ
ajst-32566	96	21	knn	knn	PROPN
ajst-32566	96	22	lags	lag	VERB
ajst-32566	96	23	slightly	slightly	ADV
ajst-32566	96	24	after	after	ADP
ajst-32566	96	25	it	it	PRON
ajst-32566	96	26	.	.	PUNCT
ajst-32566	97	1	although	although	SCONJ
ajst-32566	97	2	the	the	DET
ajst-32566	97	3	other	other	ADJ
ajst-32566	97	4	three	three	NUM
ajst-32566	97	5	classifiers	classifier	NOUN
ajst-32566	97	6	do	do	AUX
ajst-32566	97	7	n’t	not	PART
ajst-32566	97	8	demonstrate	demonstrate	VERB
ajst-32566	97	9	rather	rather	ADV
ajst-32566	97	10	ideal	ideal	ADJ
ajst-32566	97	11	results	result	NOUN
ajst-32566	97	12	,	,	PUNCT
ajst-32566	97	13	it	it	PRON
ajst-32566	97	14	’s	’s	AUX
ajst-32566	97	15	suggested	suggest	VERB
ajst-32566	97	16	that	that	SCONJ
ajst-32566	97	17	rt	rt	PROPN
ajst-32566	97	18	is	be	AUX
ajst-32566	97	19	widely	widely	ADV
ajst-32566	97	20	used	use	VERB
ajst-32566	97	21	in	in	ADP
ajst-32566	97	22	medical	medical	ADJ
ajst-32566	97	23	domain	domain	NOUN
ajst-32566	97	24	[	[	X
ajst-32566	97	25	18	18	NUM
ajst-32566	97	26	]	]	X
ajst-32566	97	27	;	;	PUNCT
ajst-32566	97	28	additionally	additionally	ADV
ajst-32566	97	29	,	,	PUNCT
ajst-32566	97	30	ann	ann	PROPN
ajst-32566	97	31	can	can	AUX
ajst-32566	97	32	effectively	effectively	ADV
ajst-32566	97	33	deal	deal	VERB
ajst-32566	97	34	with	with	ADP
ajst-32566	97	35	noisy	noisy	ADJ
ajst-32566	97	36	data	datum	NOUN
ajst-32566	97	37	[	[	X
ajst-32566	97	38	19	19	NUM
ajst-32566	97	39	]	]	PUNCT
ajst-32566	97	40	.	.	PUNCT
ajst-32566	98	1	apart	apart	ADV
ajst-32566	98	2	from	from	ADP
ajst-32566	98	3	using	use	VERB
ajst-32566	98	4	single	single	ADJ
ajst-32566	98	5	models	model	NOUN
ajst-32566	98	6	,	,	PUNCT
ajst-32566	98	7	hybrid	hybrid	NOUN
ajst-32566	98	8	models	model	NOUN
ajst-32566	98	9	can	can	AUX
ajst-32566	98	10	also	also	ADV
ajst-32566	98	11	be	be	AUX
ajst-32566	98	12	used	use	VERB
ajst-32566	98	13	to	to	PART
ajst-32566	98	14	enhance	enhance	VERB
ajst-32566	98	15	accuracy	accuracy	NOUN
ajst-32566	98	16	and	and	CCONJ
ajst-32566	98	17	reduce	reduce	VERB
ajst-32566	98	18	the	the	DET
ajst-32566	98	19	impact	impact	NOUN
ajst-32566	98	20	of	of	ADP
ajst-32566	98	21	noise	noise	NOUN
ajst-32566	98	22	(	(	PUNCT
ajst-32566	98	23	such	such	ADJ
ajst-32566	98	24	as	as	ADP
ajst-32566	98	25	eye	eye	NOUN
ajst-32566	98	26	movements	movement	NOUN
ajst-32566	98	27	)	)	PUNCT
ajst-32566	98	28	.	.	PUNCT
ajst-32566	99	1	for	for	ADP
ajst-32566	99	2	instance	instance	NOUN
ajst-32566	99	3	,	,	PUNCT
ajst-32566	99	4	a	a	DET
ajst-32566	99	5	eeg	eeg	PROPN
ajst-32566	99	6	-	-	PUNCT
ajst-32566	99	7	cnn	cnn	NOUN
ajst-32566	99	8	-	-	PUNCT
ajst-32566	99	9	souping	soup	VERB
ajst-32566	99	10	model	model	NOUN
ajst-32566	99	11	can	can	AUX
ajst-32566	99	12	be	be	AUX
ajst-32566	99	13	employed	employ	VERB
ajst-32566	99	14	[	[	X
ajst-32566	99	15	16	16	NUM
ajst-32566	99	16	]	]	PUNCT
ajst-32566	99	17	.	.	PUNCT
ajst-32566	100	1	in	in	ADP
ajst-32566	100	2	this	this	DET
ajst-32566	100	3	combined	combine	VERB
ajst-32566	100	4	model	model	NOUN
ajst-32566	100	5	,	,	PUNCT
ajst-32566	100	6	several	several	ADJ
ajst-32566	100	7	eeg	eeg	PROPN
ajst-32566	100	8	-	-	PUNCT
ajst-32566	100	9	cnn	cnn	PROPN
ajst-32566	100	10	models	model	NOUN
ajst-32566	100	11	are	be	AUX
ajst-32566	100	12	separately	separately	ADV
ajst-32566	100	13	trained	train	VERB
ajst-32566	100	14	,	,	PUNCT
ajst-32566	100	15	and	and	CCONJ
ajst-32566	100	16	then	then	ADV
ajst-32566	100	17	their	their	PRON
ajst-32566	100	18	weights	weight	NOUN
ajst-32566	100	19	are	be	AUX
ajst-32566	100	20	averaged	average	VERB
ajst-32566	100	21	.	.	PUNCT
ajst-32566	101	1	consequently	consequently	ADV
ajst-32566	101	2	,	,	PUNCT
ajst-32566	101	3	the	the	DET
ajst-32566	101	4	accuracy	accuracy	NOUN
ajst-32566	101	5	of	of	ADP
ajst-32566	101	6	emotion	emotion	NOUN
ajst-32566	101	7	recognition	recognition	NOUN
ajst-32566	101	8	is	be	AUX
ajst-32566	101	9	enhanced	enhance	VERB
ajst-32566	101	10	,	,	PUNCT
ajst-32566	101	11	but	but	CCONJ
ajst-32566	101	12	with	with	ADP
ajst-32566	101	13	the	the	DET
ajst-32566	101	14	identify	identify	ADJ
ajst-32566	101	15	time	time	NOUN
ajst-32566	101	16	not	not	PART
ajst-32566	101	17	increased	increase	VERB
ajst-32566	101	18	.	.	PUNCT
ajst-32566	102	1	2.3.2	2.3.2	NUM
ajst-32566	102	2	electrocardiographic	electrocardiographic	ADJ
ajst-32566	102	3	(	(	PUNCT
ajst-32566	102	4	ecg	ecg	PROPN
ajst-32566	102	5	)	)	PUNCT
ajst-32566	102	6	signals	signal	NOUN
ajst-32566	102	7	according	accord	VERB
ajst-32566	102	8	to	to	ADP
ajst-32566	102	9	a	a	DET
ajst-32566	102	10	range	range	NOUN
ajst-32566	102	11	of	of	ADP
ajst-32566	102	12	experiments	experiment	NOUN
ajst-32566	102	13	,	,	PUNCT
ajst-32566	102	14	ecg	ecg	PROPN
ajst-32566	102	15	signals	signal	NOUN
ajst-32566	102	16	differs	differ	VERB
ajst-32566	102	17	when	when	SCONJ
ajst-32566	102	18	it	it	PRON
ajst-32566	102	19	comes	come	VERB
ajst-32566	102	20	to	to	ADP
ajst-32566	102	21	different	different	ADJ
ajst-32566	102	22	emotion	emotion	NOUN
ajst-32566	102	23	states	state	NOUN
ajst-32566	102	24	[	[	X
ajst-32566	102	25	22	22	NUM
ajst-32566	102	26	]	]	PUNCT
ajst-32566	102	27	.	.	PUNCT
ajst-32566	103	1	additionally	additionally	ADV
ajst-32566	103	2	,	,	PUNCT
ajst-32566	103	3	it	it	PRON
ajst-32566	103	4	’s	’	VERB
ajst-32566	103	5	more	more	ADV
ajst-32566	103	6	comfortable	comfortable	ADJ
ajst-32566	103	7	to	to	PART
ajst-32566	103	8	record	record	VERB
ajst-32566	103	9	ecg	ecg	PROPN
ajst-32566	103	10	signals	signal	NOUN
ajst-32566	103	11	compared	compare	VERB
ajst-32566	103	12	to	to	ADP
ajst-32566	103	13	eeg	eeg	NOUN
ajst-32566	103	14	signals	signal	NOUN
ajst-32566	103	15	,	,	PUNCT
ajst-32566	103	16	making	make	VERB
ajst-32566	103	17	subjects	subject	NOUN
ajst-32566	103	18	more	more	ADV
ajst-32566	103	19	likely	likely	ADJ
ajst-32566	103	20	to	to	PART
ajst-32566	103	21	accept	accept	VERB
ajst-32566	103	22	continuous	continuous	ADJ
ajst-32566	103	23	monitoring	monitoring	NOUN
ajst-32566	103	24	[	[	X
ajst-32566	103	25	3	3	NUM
ajst-32566	103	26	]	]	PUNCT
ajst-32566	103	27	.	.	PUNCT
ajst-32566	104	1	as	as	ADP
ajst-32566	104	2	a	a	DET
ajst-32566	104	3	result	result	NOUN
ajst-32566	104	4	,	,	PUNCT
ajst-32566	104	5	ecg	ecg	PROPN
ajst-32566	104	6	could	could	AUX
ajst-32566	104	7	serve	serve	VERB
ajst-32566	104	8	as	as	ADP
ajst-32566	104	9	a	a	DET
ajst-32566	104	10	useful	useful	ADJ
ajst-32566	104	11	tool	tool	NOUN
ajst-32566	104	12	to	to	PART
ajst-32566	104	13	recognize	recognize	VERB
ajst-32566	104	14	emotions	emotion	NOUN
ajst-32566	104	15	.	.	PUNCT
ajst-32566	105	1	generally	generally	ADV
ajst-32566	105	2	,	,	PUNCT
ajst-32566	105	3	cardiac	cardiac	ADJ
ajst-32566	105	4	activity	activity	NOUN
ajst-32566	105	5	is	be	AUX
ajst-32566	105	6	assessed	assess	VERB
ajst-32566	105	7	utilizing	utilize	VERB
ajst-32566	105	8	key	key	ADJ
ajst-32566	105	9	electrocardiographic	electrocardiographic	ADJ
ajst-32566	105	10	parameters	parameter	NOUN
ajst-32566	105	11	,	,	PUNCT
ajst-32566	105	12	which	which	PRON
ajst-32566	105	13	includes	include	VERB
ajst-32566	105	14	the	the	DET
ajst-32566	105	15	p	p	PROPN
ajst-32566	105	16	wave	wave	NOUN
ajst-32566	105	17	,	,	PUNCT
ajst-32566	105	18	q	q	ADJ
ajst-32566	105	19	wave	wave	NOUN
ajst-32566	105	20	,	,	PUNCT
ajst-32566	105	21	t	t	PROPN
ajst-32566	105	22	wave	wave	NOUN
ajst-32566	105	23	,	,	PUNCT
ajst-32566	105	24	qrs	qrs	PROPN
ajst-32566	105	25	complex	complex	NOUN
ajst-32566	105	26	and	and	CCONJ
ajst-32566	105	27	qt	qt	NOUN
ajst-32566	105	28	/	/	SYM
ajst-32566	105	29	qtc	qtc	PROPN
ajst-32566	105	30	intervals	interval	NOUN
ajst-32566	105	31	.	.	PUNCT
ajst-32566	106	1	among	among	ADP
ajst-32566	106	2	them	they	PRON
ajst-32566	106	3	,	,	PUNCT
ajst-32566	106	4	qrs	qrs	PROPN
ajst-32566	106	5	complex	complex	PROPN
ajst-32566	106	6	is	be	AUX
ajst-32566	106	7	most	most	ADV
ajst-32566	106	8	commonly	commonly	ADV
ajst-32566	106	9	used	use	VERB
ajst-32566	106	10	in	in	ADP
ajst-32566	106	11	emotion	emotion	NOUN
ajst-32566	106	12	-	-	PUNCT
ajst-32566	106	13	recognition	recognition	NOUN
ajst-32566	106	14	-	-	PUNCT
ajst-32566	106	15	related	relate	VERB
ajst-32566	106	16	researches	research	NOUN
ajst-32566	106	17	,	,	PUNCT
ajst-32566	106	18	with	with	SCONJ
ajst-32566	106	19	its	its	PRON
ajst-32566	106	20	duration	duration	NOUN
ajst-32566	106	21	and	and	CCONJ
ajst-32566	106	22	amplitude	amplitude	NOUN
ajst-32566	106	23	mostly	mostly	ADV
ajst-32566	106	24	focused	focus	VERB
ajst-32566	106	25	on	on	ADP
ajst-32566	106	26	[	[	X
ajst-32566	106	27	22	22	NUM
ajst-32566	106	28	]	]	PUNCT
ajst-32566	106	29	.	.	PUNCT
ajst-32566	107	1	it	it	PRON
ajst-32566	107	2	is	be	AUX
ajst-32566	107	3	concerned	concerned	ADJ
ajst-32566	107	4	in	in	ADP
ajst-32566	107	5	many	many	ADJ
ajst-32566	107	6	ecg	ecg	PROPN
ajst-32566	107	7	studies	study	NOUN
ajst-32566	107	8	that	that	SCONJ
ajst-32566	107	9	individual	individual	ADJ
ajst-32566	107	10	differences	difference	NOUN
ajst-32566	107	11	exist	exist	VERB
ajst-32566	107	12	in	in	ADP
ajst-32566	107	13	the	the	DET
ajst-32566	107	14	sense	sense	NOUN
ajst-32566	107	15	of	of	ADP
ajst-32566	107	16	responses	response	NOUN
ajst-32566	107	17	.	.	PUNCT
ajst-32566	108	1	thus	thus	ADV
ajst-32566	108	2	,	,	PUNCT
ajst-32566	108	3	the	the	DET
ajst-32566	108	4	study	study	NOUN
ajst-32566	108	5	conducted	conduct	VERB
ajst-32566	108	6	by	by	ADP
ajst-32566	108	7	fan	fan	PROPN
ajst-32566	108	8	,	,	PUNCT
ajst-32566	108	9	qiu	qiu	PROPN
ajst-32566	108	10	,	,	PUNCT
ajst-32566	108	11	wang	wang	PROPN
ajst-32566	108	12	,	,	PUNCT
ajst-32566	108	13	zhao	zhao	PROPN
ajst-32566	108	14	,	,	PUNCT
ajst-32566	108	15	jiang	jiang	PROPN
ajst-32566	108	16	,	,	PUNCT
ajst-32566	108	17	wang	wang	PROPN
ajst-32566	108	18	,	,	PUNCT
ajst-32566	108	19	xu	xu	PROPN
ajst-32566	108	20	,	,	PUNCT
ajst-32566	108	21	sun	sun	PROPN
ajst-32566	108	22	and	and	CCONJ
ajst-32566	108	23	jiang	jiang	PROPN
ajst-32566	108	24	develops	develop	VERB
ajst-32566	108	25	a	a	DET
ajst-32566	108	26	method	method	NOUN
ajst-32566	108	27	of	of	ADP
ajst-32566	108	28	introducing	introduce	VERB
ajst-32566	108	29	attentional	attentional	ADJ
ajst-32566	108	30	mechanisms	mechanism	NOUN
ajst-32566	108	31	to	to	ADP
ajst-32566	108	32	deep	deep	ADJ
ajst-32566	108	33	learning	learning	NOUN
ajst-32566	108	34	models	model	NOUN
ajst-32566	108	35	.	.	PUNCT
ajst-32566	109	1	in	in	ADP
ajst-32566	109	2	more	more	ADJ
ajst-32566	109	3	details	detail	NOUN
ajst-32566	109	4	,	,	PUNCT
ajst-32566	109	5	this	this	PRON
ajst-32566	109	6	is	be	AUX
ajst-32566	109	7	done	do	VERB
ajst-32566	109	8	by	by	ADP
ajst-32566	109	9	combining	combine	VERB
ajst-32566	109	10	the	the	DET
ajst-32566	109	11	deep	deep	ADJ
ajst-32566	109	12	convolutional	convolutional	ADJ
ajst-32566	109	13	neural	neural	ADJ
ajst-32566	109	14	network	network	NOUN
ajst-32566	109	15	and	and	CCONJ
ajst-32566	109	16	convolutional	convolutional	ADJ
ajst-32566	109	17	block	block	NOUN
ajst-32566	109	18	attention	attention	NOUN
ajst-32566	109	19	module	module	NOUN
ajst-32566	109	20	(	(	PUNCT
ajst-32566	109	21	cbam	cbam	NOUN
ajst-32566	109	22	)	)	PUNCT
ajst-32566	110	1	[	[	X
ajst-32566	110	2	21	21	NUM
ajst-32566	110	3	]	]	PUNCT
ajst-32566	110	4	.	.	PUNCT
ajst-32566	111	1	in	in	ADP
ajst-32566	111	2	the	the	DET
ajst-32566	111	3	system	system	NOUN
ajst-32566	111	4	,	,	PUNCT
ajst-32566	111	5	the	the	DET
ajst-32566	111	6	deep	deep	ADJ
ajst-32566	111	7	convolutional	convolutional	ADJ
ajst-32566	111	8	neural	neural	ADJ
ajst-32566	111	9	network	network	NOUN
ajst-32566	111	10	captures	capture	VERB
ajst-32566	111	11	ecg	ecg	PROPN
ajst-32566	111	12	features	feature	NOUN
ajst-32566	111	13	while	while	SCONJ
ajst-32566	111	14	cbam	cbam	NOUN
ajst-32566	111	15	adds	add	VERB
ajst-32566	111	16	weight	weight	NOUN
ajst-32566	111	17	information	information	NOUN
ajst-32566	111	18	to	to	ADP
ajst-32566	111	19	those	those	DET
ajst-32566	111	20	extracted	extract	VERB
ajst-32566	111	21	features	feature	NOUN
ajst-32566	111	22	.	.	PUNCT
ajst-32566	112	1	thanks	thank	NOUN
ajst-32566	112	2	to	to	ADP
ajst-32566	112	3	this	this	DET
ajst-32566	112	4	disposal	disposal	NOUN
ajst-32566	112	5	,	,	PUNCT
ajst-32566	112	6	the	the	DET
ajst-32566	112	7	neural	neural	ADJ
ajst-32566	112	8	network	network	NOUN
ajst-32566	112	9	can	can	AUX
ajst-32566	112	10	better	well	ADV
ajst-32566	112	11	concentrate	concentrate	VERB
ajst-32566	112	12	on	on	ADP
ajst-32566	112	13	those	those	DET
ajst-32566	112	14	important	important	ADJ
ajst-32566	112	15	and	and	CCONJ
ajst-32566	112	16	common	common	ADJ
ajst-32566	112	17	information	information	NOUN
ajst-32566	112	18	while	while	SCONJ
ajst-32566	112	19	avoid	avoid	VERB
ajst-32566	112	20	the	the	DET
ajst-32566	112	21	majority	majority	NOUN
ajst-32566	112	22	of	of	ADP
ajst-32566	112	23	noise	noise	NOUN
ajst-32566	112	24	.	.	PUNCT
ajst-32566	113	1	however	however	ADV
ajst-32566	113	2	,	,	PUNCT
ajst-32566	113	3	it	it	PRON
ajst-32566	113	4	’s	’s	AUX
ajst-32566	113	5	argued	argue	VERB
ajst-32566	113	6	that	that	SCONJ
ajst-32566	113	7	using	use	VERB
ajst-32566	113	8	deep	deep	ADJ
ajst-32566	113	9	neural	neural	ADJ
ajst-32566	113	10	networks	network	NOUN
ajst-32566	113	11	possesses	possess	VERB
ajst-32566	113	12	larger	large	ADJ
ajst-32566	113	13	complexity	complexity	NOUN
ajst-32566	113	14	and	and	CCONJ
ajst-32566	113	15	requires	require	VERB
ajst-32566	113	16	more	more	ADJ
ajst-32566	113	17	training	training	NOUN
ajst-32566	113	18	time	time	NOUN
ajst-32566	113	19	.	.	PUNCT
ajst-32566	114	1	hence	hence	ADV
ajst-32566	114	2	,	,	PUNCT
ajst-32566	114	3	fang	fang	PROPN
ajst-32566	114	4	,	,	PUNCT
ajst-32566	114	5	pan	pan	PROPN
ajst-32566	114	6	,	,	PUNCT
ajst-32566	114	7	yu	yu	PROPN
ajst-32566	114	8	,	,	PUNCT
ajst-32566	114	9	yang	yang	PROPN
ajst-32566	114	10	and	and	CCONJ
ajst-32566	114	11	he	he	PRON
ajst-32566	114	12	suggest	suggest	VERB
ajst-32566	114	13	to	to	PART
ajst-32566	114	14	employ	employ	VERB
ajst-32566	114	15	random	random	ADJ
ajst-32566	114	16	convolutional	convolutional	ADJ
ajst-32566	114	17	kernel	kernel	NOUN
ajst-32566	114	18	method	method	NOUN
ajst-32566	114	19	in	in	ADP
ajst-32566	114	20	ecg	ecg	PROPN
ajst-32566	114	21	emotion	emotion	NOUN
ajst-32566	114	22	recognition	recognition	NOUN
ajst-32566	115	1	[	[	X
ajst-32566	115	2	3	3	NUM
ajst-32566	115	3	]	]	PUNCT
ajst-32566	115	4	.	.	PUNCT
ajst-32566	116	1	by	by	ADP
ajst-32566	116	2	deploying	deploy	VERB
ajst-32566	116	3	multiple	multiple	ADJ
ajst-32566	116	4	convolutional	convolutional	ADJ
ajst-32566	116	5	kernels	kernel	NOUN
ajst-32566	116	6	with	with	ADP
ajst-32566	116	7	parameters	parameter	NOUN
ajst-32566	116	8	including	include	VERB
ajst-32566	116	9	length	length	NOUN
ajst-32566	116	10	,	,	PUNCT
ajst-32566	116	11	weight	weight	NOUN
ajst-32566	116	12	,	,	PUNCT
ajst-32566	116	13	bias	bias	NOUN
ajst-32566	116	14	,	,	PUNCT
ajst-32566	116	15	dilation	dilation	NOUN
ajst-32566	116	16	and	and	CCONJ
ajst-32566	116	17	padding	padding	NOUN
ajst-32566	116	18	,	,	PUNCT
ajst-32566	116	19	this	this	DET
ajst-32566	116	20	method	method	NOUN
ajst-32566	116	21	is	be	AUX
ajst-32566	116	22	able	able	ADJ
ajst-32566	116	23	to	to	PART
ajst-32566	116	24	extract	extract	VERB
ajst-32566	116	25	a	a	DET
ajst-32566	116	26	variety	variety	NOUN
ajst-32566	116	27	of	of	ADP
ajst-32566	116	28	emotional	emotional	ADJ
ajst-32566	116	29	states	state	NOUN
ajst-32566	116	30	from	from	ADP
ajst-32566	116	31	ecg	ecg	PROPN
ajst-32566	116	32	signals	signal	NOUN
ajst-32566	116	33	,	,	PUNCT
ajst-32566	116	34	with	with	ADP
ajst-32566	116	35	both	both	CCONJ
ajst-32566	116	36	high	high	ADJ
ajst-32566	116	37	efficiency	efficiency	NOUN
ajst-32566	116	38	and	and	CCONJ
ajst-32566	116	39	high	high	ADJ
ajst-32566	116	40	accuracy	accuracy	NOUN
ajst-32566	116	41	.	.	PUNCT
ajst-32566	117	1	2.4	2.4	NUM
ajst-32566	117	2	textual	textual	ADJ
ajst-32566	117	3	emotion	emotion	NOUN
ajst-32566	117	4	recognition	recognition	NOUN
ajst-32566	117	5	(	(	PUNCT
ajst-32566	117	6	ter	ter	NOUN
ajst-32566	117	7	)	)	PUNCT
ajst-32566	117	8	there	there	PRON
ajst-32566	117	9	are	be	VERB
ajst-32566	117	10	four	four	NUM
ajst-32566	117	11	basic	basic	ADJ
ajst-32566	117	12	methods	method	NOUN
ajst-32566	117	13	for	for	ADP
ajst-32566	117	14	textual	textual	ADJ
ajst-32566	117	15	emotion	emotion	NOUN
ajst-32566	117	16	recognition	recognition	NOUN
ajst-32566	117	17	(	(	PUNCT
ajst-32566	117	18	ter	ter	NOUN
ajst-32566	117	19	)	)	PUNCT
ajst-32566	117	20	,	,	PUNCT
ajst-32566	117	21	namely	namely	ADV
ajst-32566	117	22	keyword	keyword	NOUN
ajst-32566	117	23	-	-	PUNCT
ajst-32566	117	24	based	base	VERB
ajst-32566	117	25	approach	approach	NOUN
ajst-32566	117	26	,	,	PUNCT
ajst-32566	117	27	rule	rule	NOUN
ajst-32566	117	28	-	-	PUNCT
ajst-32566	117	29	based	base	VERB
ajst-32566	117	30	approach	approach	NOUN
ajst-32566	117	31	,	,	PUNCT
ajst-32566	117	32	machine	machine	NOUN
ajst-32566	117	33	learning	learning	NOUN
ajst-32566	117	34	/	/	SYM
ajst-32566	117	35	classical	classical	ADJ
ajst-32566	117	36	learning	learning	NOUN
ajst-32566	117	37	–	–	PUNCT
ajst-32566	117	38	based	base	VERB
ajst-32566	117	39	approach	approach	NOUN
ajst-32566	117	40	,	,	PUNCT
ajst-32566	117	41	and	and	CCONJ
ajst-32566	117	42	deep	deep	ADJ
ajst-32566	117	43	learning	learning	NOUN
ajst-32566	117	44	–	–	PUNCT
ajst-32566	117	45	based	base	VERB
ajst-32566	117	46	approach	approach	NOUN
ajst-32566	117	47	[	[	X
ajst-32566	117	48	24	24	NUM
ajst-32566	117	49	]	]	PUNCT
ajst-32566	117	50	.	.	PUNCT
ajst-32566	118	1	the	the	DET
ajst-32566	118	2	keyword	keyword	NOUN
ajst-32566	118	3	-	-	PUNCT
ajst-32566	118	4	based	base	VERB
ajst-32566	118	5	approach	approach	NOUN
ajst-32566	118	6	recognizes	recognize	VERB
ajst-32566	118	7	different	different	ADJ
ajst-32566	118	8	emotions	emotion	NOUN
ajst-32566	118	9	by	by	ADP
ajst-32566	118	10	analyzing	analyze	VERB
ajst-32566	118	11	the	the	DET
ajst-32566	118	12	keywords	keyword	NOUN
ajst-32566	118	13	’	'	PUNCT
ajst-32566	118	14	locations	location	NOUN
ajst-32566	118	15	in	in	ADP
ajst-32566	118	16	the	the	DET
ajst-32566	118	17	input	input	NOUN
ajst-32566	118	18	text	text	NOUN
ajst-32566	118	19	and	and	CCONJ
ajst-32566	118	20	comparing	compare	VERB
ajst-32566	118	21	them	they	PRON
ajst-32566	118	22	with	with	ADP
ajst-32566	118	23	relevant	relevant	ADJ
ajst-32566	118	24	labels	label	NOUN
ajst-32566	118	25	from	from	ADP
ajst-32566	118	26	the	the	DET
ajst-32566	118	27	dataset	dataset	NOUN
ajst-32566	118	28	[	[	X
ajst-32566	118	29	24	24	NUM
ajst-32566	118	30	]	]	PUNCT
ajst-32566	118	31	.	.	PUNCT
ajst-32566	119	1	it	it	PRON
ajst-32566	119	2	includes	include	VERB
ajst-32566	119	3	five	five	NUM
ajst-32566	119	4	stages	stage	NOUN
ajst-32566	119	5	:	:	PUNCT
ajst-32566	119	6	determining	determine	VERB
ajst-32566	119	7	emotional	emotional	ADJ
ajst-32566	119	8	keyword	keyword	NOUN
ajst-32566	119	9	lists	list	NOUN
ajst-32566	119	10	from	from	ADP
ajst-32566	119	11	normative	normative	ADJ
ajst-32566	119	12	vocabulary	vocabulary	ADJ
ajst-32566	119	13	-	-	PUNCT
ajst-32566	119	14	related	relate	VERB
ajst-32566	119	15	databases	database	NOUN
ajst-32566	119	16	,	,	PUNCT
ajst-32566	119	17	preprocessing	preprocessing	NOUN
ajst-32566	119	18	of	of	ADP
ajst-32566	119	19	the	the	DET
ajst-32566	119	20	given	give	VERB
ajst-32566	119	21	text	text	NOUN
ajst-32566	119	22	,	,	PUNCT
ajst-32566	119	23	matching	match	VERB
ajst-32566	119	24	keywords	keyword	NOUN
ajst-32566	119	25	found	find	VERB
ajst-32566	119	26	in	in	ADP
ajst-32566	119	27	the	the	DET
ajst-32566	119	28	text	text	NOUN
ajst-32566	119	29	with	with	ADP
ajst-32566	119	30	the	the	DET
ajst-32566	119	31	prepared	prepared	ADJ
ajst-32566	119	32	keyword	keyword	NOUN
ajst-32566	119	33	lists	list	NOUN
ajst-32566	119	34	,	,	PUNCT
ajst-32566	119	35	assessing	assess	VERB
ajst-32566	119	36	the	the	DET
ajst-32566	119	37	emotional	emotional	ADJ
ajst-32566	119	38	intensity	intensity	NOUN
ajst-32566	119	39	and	and	CCONJ
ajst-32566	119	40	carrying	carry	VERB
ajst-32566	119	41	out	out	ADP
ajst-32566	119	42	negation	negation	NOUN
ajst-32566	119	43	checking	check	VERB
ajst-32566	119	44	.	.	PUNCT
ajst-32566	120	1	in	in	ADP
ajst-32566	120	2	the	the	DET
ajst-32566	120	3	end	end	NOUN
ajst-32566	120	4	,	,	PUNCT
ajst-32566	120	5	the	the	DET
ajst-32566	120	6	label	label	NOUN
ajst-32566	120	7	regarding	regard	VERB
ajst-32566	120	8	emotional	emotional	ADJ
ajst-32566	120	9	state	state	NOUN
ajst-32566	120	10	is	be	AUX
ajst-32566	120	11	attained	attain	VERB
ajst-32566	120	12	[	[	X
ajst-32566	120	13	24	24	NUM
ajst-32566	120	14	]	]	PUNCT
ajst-32566	120	15	.	.	PUNCT
ajst-32566	121	1	by	by	ADP
ajst-32566	121	2	contrast	contrast	NOUN
ajst-32566	121	3	,	,	PUNCT
ajst-32566	121	4	the	the	DET
ajst-32566	121	5	approach	approach	NOUN
ajst-32566	121	6	built	build	VERB
ajst-32566	121	7	on	on	ADP
ajst-32566	121	8	rules	rule	NOUN
ajst-32566	121	9	identifies	identify	VERB
ajst-32566	121	10	emotions	emotion	NOUN
ajst-32566	121	11	with	with	ADP
ajst-32566	121	12	the	the	DET
ajst-32566	121	13	use	use	NOUN
ajst-32566	121	14	of	of	ADP
ajst-32566	121	15	regulations	regulation	NOUN
ajst-32566	121	16	in	in	ADP
ajst-32566	121	17	the	the	DET
ajst-32566	121	18	terms	term	NOUN
ajst-32566	121	19	of	of	ADP
ajst-32566	121	20	logic	logic	NOUN
ajst-32566	121	21	and	and	CCONJ
ajst-32566	121	22	grammar	grammar	NOUN
ajst-32566	121	23	,	,	PUNCT
ajst-32566	121	24	while	while	SCONJ
ajst-32566	121	25	machine	machine	NOUN
ajst-32566	121	26	learning	learn	VERB
ajst-32566	121	27	approach	approach	NOUN
ajst-32566	121	28	employs	employ	VERB
ajst-32566	121	29	complex	complex	ADJ
ajst-32566	121	30	classifiers	classifier	NOUN
ajst-32566	121	31	with	with	ADP
ajst-32566	121	32	features	feature	NOUN
ajst-32566	121	33	on	on	ADP
ajst-32566	121	34	n	n	CCONJ
ajst-32566	121	35	-	-	PUNCT
ajst-32566	121	36	gram	gram	NOUN
ajst-32566	121	37	,	,	PUNCT
ajst-32566	121	38	lexical	lexical	ADJ
ajst-32566	121	39	,	,	PUNCT
ajst-32566	121	40	semantic	semantic	ADJ
ajst-32566	121	41	and	and	CCONJ
ajst-32566	121	42	grammatical	grammatical	ADJ
ajst-32566	121	43	dimensions	dimension	NOUN
ajst-32566	121	44	[	[	X
ajst-32566	121	45	24	24	NUM
ajst-32566	121	46	]	]	PUNCT
ajst-32566	121	47	.	.	PUNCT
ajst-32566	122	1	different	different	ADJ
ajst-32566	122	2	from	from	ADP
ajst-32566	122	3	the	the	DET
ajst-32566	122	4	machine	machine	NOUN
ajst-32566	122	5	learning	learning	NOUN
ajst-32566	122	6	approach	approach	NOUN
ajst-32566	122	7	,	,	PUNCT
ajst-32566	122	8	in	in	ADP
ajst-32566	122	9	which	which	PRON
ajst-32566	122	10	supervised	supervise	VERB
ajst-32566	122	11	machine	machine	NOUN
ajst-32566	122	12	learning	learning	NOUN
ajst-32566	122	13	algorithms	algorithm	NOUN
ajst-32566	122	14	are	be	AUX
ajst-32566	122	15	extensively	extensively	ADV
ajst-32566	122	16	employed	employ	VERB
ajst-32566	122	17	,	,	PUNCT
ajst-32566	122	18	deep	deep	ADJ
ajst-32566	122	19	learning	learning	NOUN
ajst-32566	122	20	algorithm	algorithm	NOUN
ajst-32566	122	21	allows	allow	VERB
ajst-32566	122	22	unsupervised	unsupervised	ADJ
ajst-32566	122	23	learning	learning	NOUN
ajst-32566	122	24	from	from	ADP
ajst-32566	122	25	unlabeled	unlabeled	ADJ
ajst-32566	122	26	data	datum	NOUN
ajst-32566	122	27	[	[	X
ajst-32566	122	28	24	24	NUM
ajst-32566	122	29	]	]	PUNCT
ajst-32566	122	30	.	.	PUNCT
ajst-32566	123	1	this	this	DET
ajst-32566	123	2	trait	trait	NOUN
ajst-32566	123	3	also	also	ADV
ajst-32566	123	4	differentiates	differentiate	VERB
ajst-32566	123	5	it	it	PRON
ajst-32566	123	6	from	from	ADP
ajst-32566	123	7	the	the	DET
ajst-32566	123	8	keyword	keyword	NOUN
ajst-32566	123	9	-	-	PUNCT
ajst-32566	123	10	based	base	VERB
ajst-32566	123	11	approach	approach	NOUN
ajst-32566	123	12	,	,	PUNCT
ajst-32566	123	13	which	which	PRON
ajst-32566	123	14	needs	need	VERB
ajst-32566	123	15	labeled	label	VERB
ajst-32566	123	16	data	datum	NOUN
ajst-32566	123	17	.	.	PUNCT
ajst-32566	124	1	225	225	NUM
ajst-32566	124	2	2.5	2.5	NUM
ajst-32566	124	3	challenges	challenge	NOUN
ajst-32566	124	4	as	as	SCONJ
ajst-32566	124	5	generally	generally	ADV
ajst-32566	124	6	researchers	researcher	NOUN
ajst-32566	124	7	define	define	VERB
ajst-32566	124	8	and	and	CCONJ
ajst-32566	124	9	distinguish	distinguish	VERB
ajst-32566	124	10	different	different	ADJ
ajst-32566	124	11	emotions	emotion	NOUN
ajst-32566	124	12	by	by	ADP
ajst-32566	124	13	themselves	themselves	PRON
ajst-32566	124	14	to	to	PART
ajst-32566	124	15	offer	offer	VERB
ajst-32566	124	16	tags	tag	NOUN
ajst-32566	124	17	,	,	PUNCT
ajst-32566	124	18	significant	significant	ADJ
ajst-32566	124	19	differences	difference	NOUN
ajst-32566	124	20	could	could	AUX
ajst-32566	124	21	be	be	AUX
ajst-32566	124	22	seen	see	VERB
ajst-32566	124	23	between	between	ADP
ajst-32566	124	24	different	different	ADJ
ajst-32566	124	25	researches	research	NOUN
ajst-32566	124	26	[	[	X
ajst-32566	124	27	6	6	NUM
ajst-32566	124	28	]	]	PUNCT
ajst-32566	124	29	.	.	PUNCT
ajst-32566	125	1	this	this	PRON
ajst-32566	125	2	is	be	AUX
ajst-32566	125	3	a	a	DET
ajst-32566	125	4	challenge	challenge	NOUN
ajst-32566	125	5	rather	rather	ADV
ajst-32566	125	6	hard	hard	ADJ
ajst-32566	125	7	to	to	PART
ajst-32566	125	8	be	be	AUX
ajst-32566	125	9	overcome	overcome	VERB
ajst-32566	125	10	.	.	PUNCT
ajst-32566	126	1	although	although	SCONJ
ajst-32566	126	2	in	in	ADP
ajst-32566	126	3	the	the	DET
ajst-32566	126	4	experiment	experiment	NOUN
ajst-32566	126	5	produced	produce	VERB
ajst-32566	126	6	by	by	ADP
ajst-32566	126	7	wang	wang	PROPN
ajst-32566	126	8	,	,	PUNCT
ajst-32566	126	9	each	each	DET
ajst-32566	126	10	tag	tag	NOUN
ajst-32566	126	11	is	be	AUX
ajst-32566	126	12	decided	decide	VERB
ajst-32566	126	13	by	by	ADP
ajst-32566	126	14	voting	vote	VERB
ajst-32566	126	15	[	[	X
ajst-32566	126	16	5	5	NUM
ajst-32566	126	17	]	]	PUNCT
ajst-32566	126	18	,	,	PUNCT
ajst-32566	126	19	which	which	PRON
ajst-32566	126	20	is	be	AUX
ajst-32566	126	21	a	a	DET
ajst-32566	126	22	useful	useful	ADJ
ajst-32566	126	23	method	method	NOUN
ajst-32566	126	24	to	to	PART
ajst-32566	126	25	reduce	reduce	VERB
ajst-32566	126	26	the	the	DET
ajst-32566	126	27	error	error	NOUN
ajst-32566	126	28	caused	cause	VERB
ajst-32566	126	29	by	by	ADP
ajst-32566	126	30	subjectivity	subjectivity	NOUN
ajst-32566	126	31	,	,	PUNCT
ajst-32566	126	32	this	this	DET
ajst-32566	126	33	problem	problem	NOUN
ajst-32566	126	34	is	be	AUX
ajst-32566	126	35	still	still	ADV
ajst-32566	126	36	inevitable	inevitable	ADJ
ajst-32566	126	37	.	.	PUNCT
ajst-32566	127	1	that	that	PRON
ajst-32566	127	2	is	be	AUX
ajst-32566	127	3	because	because	SCONJ
ajst-32566	127	4	,	,	PUNCT
ajst-32566	127	5	it	it	PRON
ajst-32566	127	6	’s	’	VERB
ajst-32566	127	7	rather	rather	ADV
ajst-32566	127	8	hard	hard	ADJ
ajst-32566	127	9	to	to	PART
ajst-32566	127	10	define	define	VERB
ajst-32566	127	11	a	a	DET
ajst-32566	127	12	kind	kind	NOUN
ajst-32566	127	13	of	of	ADP
ajst-32566	127	14	emotion	emotion	NOUN
ajst-32566	127	15	precisely	precisely	ADV
ajst-32566	127	16	,	,	PUNCT
ajst-32566	127	17	and	and	CCONJ
ajst-32566	127	18	different	different	ADJ
ajst-32566	127	19	people	people	NOUN
ajst-32566	127	20	may	may	AUX
ajst-32566	127	21	have	have	VERB
ajst-32566	127	22	different	different	ADJ
ajst-32566	127	23	views	view	NOUN
ajst-32566	127	24	on	on	ADP
ajst-32566	127	25	which	which	DET
ajst-32566	127	26	category	category	NOUN
ajst-32566	127	27	a	a	DET
ajst-32566	127	28	specific	specific	ADJ
ajst-32566	127	29	emotion	emotion	NOUN
ajst-32566	127	30	belongs	belong	VERB
ajst-32566	127	31	to	to	PART
ajst-32566	127	32	.	.	PUNCT
ajst-32566	128	1	additionally	additionally	ADV
ajst-32566	128	2	,	,	PUNCT
ajst-32566	128	3	different	different	ADJ
ajst-32566	128	4	individuals	individual	NOUN
ajst-32566	128	5	may	may	AUX
ajst-32566	128	6	behave	behave	VERB
ajst-32566	128	7	differently	differently	ADV
ajst-32566	128	8	to	to	PART
ajst-32566	128	9	express	express	VERB
ajst-32566	128	10	identical	identical	ADJ
ajst-32566	128	11	emotions	emotion	NOUN
ajst-32566	128	12	[	[	X
ajst-32566	128	13	1	1	NUM
ajst-32566	128	14	]	]	PUNCT
ajst-32566	128	15	,	,	PUNCT
ajst-32566	128	16	not	not	PART
ajst-32566	128	17	to	to	PART
ajst-32566	128	18	mention	mention	VERB
ajst-32566	128	19	people	people	NOUN
ajst-32566	128	20	may	may	AUX
ajst-32566	128	21	arise	arise	VERB
ajst-32566	128	22	different	different	ADJ
ajst-32566	128	23	emotions	emotion	NOUN
ajst-32566	128	24	in	in	ADP
ajst-32566	128	25	a	a	DET
ajst-32566	128	26	same	same	ADJ
ajst-32566	128	27	circumstance	circumstance	NOUN
ajst-32566	128	28	.	.	PUNCT
ajst-32566	129	1	hence	hence	ADV
ajst-32566	129	2	,	,	PUNCT
ajst-32566	129	3	feature	feature	NOUN
ajst-32566	129	4	election	election	NOUN
ajst-32566	129	5	is	be	AUX
ajst-32566	129	6	definitely	definitely	ADV
ajst-32566	129	7	no	no	DET
ajst-32566	129	8	easy	easy	ADJ
ajst-32566	129	9	task	task	NOUN
ajst-32566	129	10	,	,	PUNCT
ajst-32566	129	11	which	which	PRON
ajst-32566	129	12	is	be	AUX
ajst-32566	129	13	also	also	ADV
ajst-32566	129	14	received	receive	VERB
ajst-32566	129	15	by	by	ADP
ajst-32566	129	16	sohaib	sohaib	PROPN
ajst-32566	129	17	,	,	PUNCT
ajst-32566	129	18	qureshi	qureshi	PROPN
ajst-32566	129	19	,	,	PUNCT
ajst-32566	129	20	hagelb¨ack	hagelb¨ack	PROPN
ajst-32566	129	21	,	,	PUNCT
ajst-32566	129	22	hilborn	hilborn	ADJ
ajst-32566	129	23	,	,	PUNCT
ajst-32566	129	24	jerˇci´c	jerˇci´c	PROPN
ajst-32566	129	25	and	and	CCONJ
ajst-32566	129	26	petar	petar	PROPN
ajst-32566	129	27	[	[	X
ajst-32566	129	28	1	1	NUM
ajst-32566	129	29	]	]	PUNCT
ajst-32566	129	30	.	.	PUNCT
ajst-32566	130	1	some	some	DET
ajst-32566	130	2	methods	method	NOUN
ajst-32566	130	3	can	can	AUX
ajst-32566	130	4	be	be	AUX
ajst-32566	130	5	adopted	adopt	VERB
ajst-32566	130	6	to	to	PART
ajst-32566	130	7	mitigate	mitigate	VERB
ajst-32566	130	8	the	the	DET
ajst-32566	130	9	problem	problem	NOUN
ajst-32566	130	10	,	,	PUNCT
ajst-32566	130	11	such	such	ADJ
ajst-32566	130	12	as	as	ADP
ajst-32566	130	13	choosing	choose	VERB
ajst-32566	130	14	features	feature	NOUN
ajst-32566	130	15	which	which	PRON
ajst-32566	130	16	possess	possess	VERB
ajst-32566	130	17	larger	large	ADJ
ajst-32566	130	18	absolute	absolute	ADJ
ajst-32566	130	19	correlation	correlation	NOUN
ajst-32566	130	20	among	among	ADP
ajst-32566	130	21	subjects	subject	NOUN
ajst-32566	130	22	[	[	X
ajst-32566	130	23	20	20	NUM
ajst-32566	130	24	]	]	PUNCT
ajst-32566	130	25	and	and	CCONJ
ajst-32566	130	26	introducing	introduce	VERB
ajst-32566	130	27	attentional	attentional	ADJ
ajst-32566	130	28	mechanism	mechanism	NOUN
ajst-32566	130	29	[	[	X
ajst-32566	130	30	21	21	NUM
ajst-32566	130	31	]	]	PUNCT
ajst-32566	130	32	.	.	PUNCT
ajst-32566	131	1	but	but	CCONJ
ajst-32566	131	2	undeniably	undeniably	ADV
ajst-32566	131	3	,	,	PUNCT
ajst-32566	131	4	the	the	DET
ajst-32566	131	5	problem	problem	NOUN
ajst-32566	131	6	can	can	AUX
ajst-32566	131	7	not	not	PART
ajst-32566	131	8	be	be	AUX
ajst-32566	131	9	thoroughly	thoroughly	ADV
ajst-32566	131	10	eliminated	eliminate	VERB
ajst-32566	131	11	.	.	PUNCT
ajst-32566	132	1	besides	besides	SCONJ
ajst-32566	132	2	,	,	PUNCT
ajst-32566	132	3	it	it	PRON
ajst-32566	132	4	’s	’	VERB
ajst-32566	132	5	clear	clear	ADJ
ajst-32566	132	6	that	that	SCONJ
ajst-32566	132	7	the	the	DET
ajst-32566	132	8	chosen	choose	VERB
ajst-32566	132	9	subjects	subject	NOUN
ajst-32566	132	10	can	can	AUX
ajst-32566	132	11	not	not	PART
ajst-32566	132	12	on	on	ADP
ajst-32566	132	13	behave	behave	VERB
ajst-32566	132	14	of	of	ADP
ajst-32566	132	15	all	all	DET
ajst-32566	132	16	human	human	ADJ
ajst-32566	132	17	beings	being	NOUN
ajst-32566	132	18	.	.	PUNCT
ajst-32566	133	1	this	this	PRON
ajst-32566	133	2	inevitably	inevitably	ADV
ajst-32566	133	3	leads	lead	VERB
ajst-32566	133	4	to	to	ADP
ajst-32566	133	5	errors	error	NOUN
ajst-32566	133	6	.	.	PUNCT
ajst-32566	134	1	the	the	DET
ajst-32566	134	2	rather	rather	ADV
ajst-32566	134	3	that	that	PRON
ajst-32566	134	4	,	,	PUNCT
ajst-32566	134	5	it	it	PRON
ajst-32566	134	6	’s	’	VERB
ajst-32566	134	7	not	not	PART
ajst-32566	134	8	an	an	DET
ajst-32566	134	9	unusual	unusual	ADJ
ajst-32566	134	10	case	case	NOUN
ajst-32566	134	11	that	that	PRON
ajst-32566	134	12	selected	select	VERB
ajst-32566	134	13	features	feature	NOUN
ajst-32566	134	14	may	may	AUX
ajst-32566	134	15	not	not	PART
ajst-32566	134	16	be	be	AUX
ajst-32566	134	17	able	able	ADJ
ajst-32566	134	18	to	to	PART
ajst-32566	134	19	conclude	conclude	VERB
ajst-32566	134	20	all	all	DET
ajst-32566	134	21	subjects	subject	NOUN
ajst-32566	134	22	,	,	PUNCT
ajst-32566	134	23	leading	lead	VERB
ajst-32566	134	24	to	to	ADP
ajst-32566	134	25	errors	error	NOUN
ajst-32566	134	26	that	that	PRON
ajst-32566	134	27	can	can	AUX
ajst-32566	134	28	not	not	PART
ajst-32566	134	29	be	be	AUX
ajst-32566	134	30	ignored	ignore	VERB
ajst-32566	134	31	.	.	PUNCT
ajst-32566	135	1	3	3	X
ajst-32566	135	2	.	.	X
ajst-32566	135	3	discussion	discussion	NOUN
ajst-32566	135	4	55	55	NUM
ajst-32566	135	5	%	%	NOUN
ajst-32566	135	6	of	of	ADP
ajst-32566	135	7	human	human	ADJ
ajst-32566	135	8	emotions	emotion	NOUN
ajst-32566	135	9	are	be	AUX
ajst-32566	135	10	conveyed	convey	VERB
ajst-32566	135	11	through	through	ADP
ajst-32566	135	12	facial	facial	ADJ
ajst-32566	135	13	expressions	expression	NOUN
ajst-32566	135	14	,	,	PUNCT
ajst-32566	135	15	which	which	PRON
ajst-32566	135	16	represents	represent	VERB
ajst-32566	135	17	the	the	DET
ajst-32566	135	18	highest	high	ADJ
ajst-32566	135	19	proportion	proportion	NOUN
ajst-32566	135	20	[	[	X
ajst-32566	135	21	6	6	NUM
ajst-32566	135	22	]	]	PUNCT
ajst-32566	135	23	.	.	PUNCT
ajst-32566	136	1	although	although	SCONJ
ajst-32566	136	2	contains	contain	VERB
ajst-32566	136	3	plenty	plenty	NOUN
ajst-32566	136	4	of	of	ADP
ajst-32566	136	5	emotional	emotional	ADJ
ajst-32566	136	6	information	information	NOUN
ajst-32566	136	7	,	,	PUNCT
ajst-32566	136	8	there	there	PRON
ajst-32566	136	9	is	be	VERB
ajst-32566	136	10	an	an	DET
ajst-32566	136	11	obvious	obvious	ADJ
ajst-32566	136	12	disadvantage	disadvantage	NOUN
ajst-32566	136	13	in	in	ADP
ajst-32566	136	14	fer	fer	PROPN
ajst-32566	136	15	,	,	PUNCT
ajst-32566	136	16	which	which	PRON
ajst-32566	136	17	can	can	AUX
ajst-32566	136	18	also	also	ADV
ajst-32566	136	19	be	be	AUX
ajst-32566	136	20	seen	see	VERB
ajst-32566	136	21	in	in	ADP
ajst-32566	136	22	ser	ser	NOUN
ajst-32566	136	23	and	and	CCONJ
ajst-32566	136	24	ter	ter	NOUN
ajst-32566	136	25	:	:	PUNCT
ajst-32566	136	26	the	the	DET
ajst-32566	136	27	detected	detect	VERB
ajst-32566	136	28	results	result	NOUN
ajst-32566	136	29	may	may	AUX
ajst-32566	136	30	be	be	AUX
ajst-32566	136	31	disturbed	disturb	VERB
ajst-32566	136	32	,	,	PUNCT
ajst-32566	136	33	as	as	SCONJ
ajst-32566	136	34	individuals	individual	NOUN
ajst-32566	136	35	can	can	AUX
ajst-32566	136	36	control	control	VERB
ajst-32566	136	37	their	their	PRON
ajst-32566	136	38	facial	facial	ADJ
ajst-32566	136	39	expressions	expression	NOUN
ajst-32566	136	40	,	,	PUNCT
ajst-32566	136	41	pitch	pitch	NOUN
ajst-32566	136	42	,	,	PUNCT
ajst-32566	136	43	writing	write	VERB
ajst-32566	136	44	style	style	NOUN
ajst-32566	136	45	and	and	CCONJ
ajst-32566	136	46	so	so	ADV
ajst-32566	136	47	on	on	ADV
ajst-32566	136	48	.	.	PUNCT
ajst-32566	137	1	by	by	ADP
ajst-32566	137	2	contrast	contrast	NOUN
ajst-32566	137	3	,	,	PUNCT
ajst-32566	137	4	eeg	eeg	NOUN
ajst-32566	137	5	signals	signal	NOUN
ajst-32566	137	6	and	and	CCONJ
ajst-32566	137	7	ecg	ecg	PROPN
ajst-32566	137	8	signals	signal	NOUN
ajst-32566	137	9	are	be	AUX
ajst-32566	137	10	impossible	impossible	ADJ
ajst-32566	137	11	to	to	PART
ajst-32566	137	12	be	be	AUX
ajst-32566	137	13	controlled	control	VERB
ajst-32566	137	14	consciously	consciously	ADV
ajst-32566	137	15	or	or	CCONJ
ajst-32566	137	16	unconsciously	unconsciously	ADV
ajst-32566	137	17	[	[	X
ajst-32566	137	18	16	16	NUM
ajst-32566	137	19	]	]	PUNCT
ajst-32566	137	20	,	,	PUNCT
ajst-32566	137	21	making	make	VERB
ajst-32566	137	22	them	they	PRON
ajst-32566	137	23	hopeful	hopeful	ADJ
ajst-32566	137	24	to	to	PART
ajst-32566	137	25	help	help	VERB
ajst-32566	137	26	develop	develop	VERB
ajst-32566	137	27	accurate	accurate	ADJ
ajst-32566	137	28	emotion	emotion	NOUN
ajst-32566	137	29	recognition	recognition	NOUN
ajst-32566	137	30	technologies	technology	NOUN
ajst-32566	137	31	.	.	PUNCT
ajst-32566	138	1	however	however	ADV
ajst-32566	138	2	,	,	PUNCT
ajst-32566	138	3	they	they	PRON
ajst-32566	138	4	also	also	ADV
ajst-32566	138	5	face	face	VERB
ajst-32566	138	6	plenty	plenty	NOUN
ajst-32566	138	7	of	of	ADP
ajst-32566	138	8	challenges	challenge	NOUN
ajst-32566	138	9	.	.	PUNCT
ajst-32566	139	1	for	for	ADP
ajst-32566	139	2	instance	instance	NOUN
ajst-32566	139	3	,	,	PUNCT
ajst-32566	139	4	many	many	ADJ
ajst-32566	139	5	noises	noise	NOUN
ajst-32566	139	6	affect	affect	VERB
ajst-32566	139	7	the	the	DET
ajst-32566	139	8	result	result	NOUN
ajst-32566	139	9	of	of	ADP
ajst-32566	139	10	attaining	attain	VERB
ajst-32566	139	11	eeg	eeg	NOUN
ajst-32566	139	12	signals	signal	NOUN
ajst-32566	139	13	[	[	X
ajst-32566	139	14	16	16	NUM
ajst-32566	139	15	]	]	PUNCT
ajst-32566	139	16	,	,	PUNCT
ajst-32566	139	17	necessitating	necessitate	VERB
ajst-32566	139	18	sophisticated	sophisticated	ADJ
ajst-32566	139	19	noise	noise	NOUN
ajst-32566	139	20	reduction	reduction	NOUN
ajst-32566	139	21	models	model	NOUN
ajst-32566	139	22	like	like	ADP
ajst-32566	139	23	multiresunet3p	multiresunet3p	PROPN
ajst-32566	139	24	[	[	X
ajst-32566	139	25	23	23	NUM
ajst-32566	139	26	]	]	PUNCT
ajst-32566	139	27	.	.	PUNCT
ajst-32566	140	1	additionally	additionally	ADV
ajst-32566	140	2	,	,	PUNCT
ajst-32566	140	3	physiological	physiological	ADJ
ajst-32566	140	4	data	data	NOUN
ajst-32566	140	5	-	-	PUNCT
ajst-32566	140	6	based	base	VERB
ajst-32566	140	7	methods	method	NOUN
ajst-32566	140	8	pose	pose	VERB
ajst-32566	140	9	many	many	ADJ
ajst-32566	140	10	more	more	ADJ
ajst-32566	140	11	difficulties	difficulty	NOUN
ajst-32566	140	12	to	to	PART
ajst-32566	140	13	collect	collect	VERB
ajst-32566	140	14	data	datum	NOUN
ajst-32566	140	15	,	,	PUNCT
ajst-32566	140	16	as	as	SCONJ
ajst-32566	140	17	specialized	specialized	ADJ
ajst-32566	140	18	equipment	equipment	NOUN
ajst-32566	140	19	are	be	AUX
ajst-32566	140	20	required	require	VERB
ajst-32566	140	21	[	[	X
ajst-32566	140	22	3	3	NUM
ajst-32566	140	23	]	]	PUNCT
ajst-32566	140	24	.	.	PUNCT
ajst-32566	141	1	besides	besides	SCONJ
ajst-32566	141	2	,	,	PUNCT
ajst-32566	141	3	several	several	ADJ
ajst-32566	141	4	challenges	challenge	NOUN
ajst-32566	141	5	can	can	AUX
ajst-32566	141	6	be	be	AUX
ajst-32566	141	7	seen	see	VERB
ajst-32566	141	8	in	in	ADP
ajst-32566	141	9	every	every	DET
ajst-32566	141	10	modality	modality	NOUN
ajst-32566	141	11	.	.	PUNCT
ajst-32566	142	1	firstly	firstly	ADV
ajst-32566	142	2	,	,	PUNCT
ajst-32566	142	3	it	it	PRON
ajst-32566	142	4	’s	’	VERB
ajst-32566	142	5	hard	hard	ADJ
ajst-32566	142	6	to	to	PART
ajst-32566	142	7	define	define	VERB
ajst-32566	142	8	an	an	DET
ajst-32566	142	9	emotion	emotion	NOUN
ajst-32566	142	10	by	by	ADP
ajst-32566	142	11	oneself	oneself	PRON
ajst-32566	142	12	,	,	PUNCT
ajst-32566	142	13	and	and	CCONJ
ajst-32566	142	14	people	people	NOUN
ajst-32566	142	15	may	may	AUX
ajst-32566	142	16	have	have	VERB
ajst-32566	142	17	different	different	ADJ
ajst-32566	142	18	opinions	opinion	NOUN
ajst-32566	142	19	on	on	ADP
ajst-32566	142	20	the	the	DET
ajst-32566	142	21	exact	exact	ADJ
ajst-32566	142	22	definition	definition	NOUN
ajst-32566	142	23	.	.	PUNCT
ajst-32566	143	1	secondly	secondly	ADV
ajst-32566	143	2	,	,	PUNCT
ajst-32566	143	3	different	different	ADJ
ajst-32566	143	4	people	people	NOUN
ajst-32566	143	5	may	may	AUX
ajst-32566	143	6	have	have	VERB
ajst-32566	143	7	different	different	ADJ
ajst-32566	143	8	emotions	emotion	NOUN
ajst-32566	143	9	in	in	ADP
ajst-32566	143	10	a	a	DET
ajst-32566	143	11	same	same	ADJ
ajst-32566	143	12	circumstance	circumstance	NOUN
ajst-32566	143	13	;	;	PUNCT
ajst-32566	143	14	even	even	ADV
ajst-32566	143	15	when	when	SCONJ
ajst-32566	143	16	they	they	PRON
ajst-32566	143	17	are	be	AUX
ajst-32566	143	18	in	in	ADP
ajst-32566	143	19	the	the	DET
ajst-32566	143	20	same	same	ADJ
ajst-32566	143	21	emotion	emotion	NOUN
ajst-32566	143	22	state	state	NOUN
ajst-32566	143	23	,	,	PUNCT
ajst-32566	143	24	they	they	PRON
ajst-32566	143	25	may	may	AUX
ajst-32566	143	26	behave	behave	VERB
ajst-32566	143	27	differently	differently	ADV
ajst-32566	143	28	.	.	PUNCT
ajst-32566	144	1	thirdly	thirdly	ADV
ajst-32566	144	2	,	,	PUNCT
ajst-32566	144	3	many	many	ADJ
ajst-32566	144	4	chosen	choose	VERB
ajst-32566	144	5	features	feature	NOUN
ajst-32566	144	6	can	can	AUX
ajst-32566	144	7	not	not	PART
ajst-32566	144	8	be	be	AUX
ajst-32566	144	9	shown	show	VERB
ajst-32566	144	10	in	in	ADP
ajst-32566	144	11	all	all	DET
ajst-32566	144	12	subjects	subject	NOUN
ajst-32566	144	13	,	,	PUNCT
ajst-32566	144	14	and	and	CCONJ
ajst-32566	144	15	the	the	DET
ajst-32566	144	16	subjects	subject	NOUN
ajst-32566	144	17	can	can	AUX
ajst-32566	144	18	not	not	PART
ajst-32566	144	19	on	on	ADP
ajst-32566	144	20	behalf	behalf	NOUN
ajst-32566	144	21	of	of	ADP
ajst-32566	144	22	everyone	everyone	PRON
ajst-32566	144	23	.	.	PUNCT
ajst-32566	145	1	basing	base	VERB
ajst-32566	145	2	on	on	ADP
ajst-32566	145	3	the	the	DET
ajst-32566	145	4	discussions	discussion	NOUN
ajst-32566	145	5	above	above	ADP
ajst-32566	145	6	,	,	PUNCT
ajst-32566	145	7	the	the	DET
ajst-32566	145	8	advantages	advantage	NOUN
ajst-32566	145	9	and	and	CCONJ
ajst-32566	145	10	disadvantages	disadvantage	NOUN
ajst-32566	145	11	of	of	ADP
ajst-32566	145	12	the	the	DET
ajst-32566	145	13	four	four	NUM
ajst-32566	145	14	modalities	modality	NOUN
ajst-32566	145	15	(	(	PUNCT
ajst-32566	145	16	fer	fer	PROPN
ajst-32566	145	17	,	,	PUNCT
ajst-32566	145	18	ser	ser	NOUN
ajst-32566	145	19	,	,	PUNCT
ajst-32566	145	20	eeg	eeg	PROPN
ajst-32566	145	21	/	/	SYM
ajst-32566	145	22	ecg	ecg	PROPN
ajst-32566	145	23	and	and	CCONJ
ajst-32566	145	24	ter	ter	NOUN
ajst-32566	145	25	)	)	PUNCT
ajst-32566	145	26	are	be	AUX
ajst-32566	145	27	analyzed	analyze	VERB
ajst-32566	145	28	and	and	CCONJ
ajst-32566	145	29	compared	compare	VERB
ajst-32566	145	30	in	in	ADP
ajst-32566	145	31	this	this	DET
ajst-32566	145	32	review	review	NOUN
ajst-32566	145	33	(	(	PUNCT
ajst-32566	145	34	shown	show	VERB
ajst-32566	145	35	in	in	ADP
ajst-32566	145	36	table	table	NOUN
ajst-32566	145	37	1	1	NUM
ajst-32566	145	38	)	)	PUNCT
ajst-32566	145	39	.	.	PUNCT
ajst-32566	146	1	table	table	NOUN
ajst-32566	146	2	1	1	NUM
ajst-32566	146	3	.	.	PUNCT
ajst-32566	146	4	advantages	advantage	NOUN
ajst-32566	146	5	and	and	CCONJ
ajst-32566	146	6	disadvantages	disadvantage	NOUN
ajst-32566	146	7	of	of	ADP
ajst-32566	146	8	fer	fer	PROPN
ajst-32566	146	9	,	,	PUNCT
ajst-32566	146	10	ser	ser	NOUN
ajst-32566	146	11	,	,	PUNCT
ajst-32566	146	12	eeg	eeg	PROPN
ajst-32566	146	13	/	/	SYM
ajst-32566	146	14	ecg	ecg	PROPN
ajst-32566	146	15	and	and	CCONJ
ajst-32566	146	16	ter	ter	NOUN
ajst-32566	146	17	modality	modality	NOUN
ajst-32566	146	18	advantages	advantage	NOUN
ajst-32566	146	19	disadvantages	disadvantage	VERB
ajst-32566	146	20	fer	fer	PROPN
ajst-32566	146	21	1	1	NUM
ajst-32566	146	22	.	.	PUNCT
ajst-32566	146	23	with	with	ADP
ajst-32566	146	24	highest	high	ADJ
ajst-32566	146	25	proportion	proportion	NOUN
ajst-32566	146	26	of	of	ADP
ajst-32566	146	27	emotional	emotional	ADJ
ajst-32566	146	28	information	information	NOUN
ajst-32566	147	1	2	2	NUM
ajst-32566	147	2	.	.	PUNCT
ajst-32566	147	3	more	more	ADV
ajst-32566	147	4	developed	developed	ADJ
ajst-32566	147	5	easy	easy	ADJ
ajst-32566	147	6	-	-	PUNCT
ajst-32566	147	7	to	to	PART
ajst-32566	147	8	-	-	PUNCT
ajst-32566	147	9	be	be	AUX
ajst-32566	147	10	-	-	PUNCT
ajst-32566	147	11	disturbed	disturb	VERB
ajst-32566	147	12	detected	detect	VERB
ajst-32566	147	13	results	result	NOUN
ajst-32566	147	14	1	1	NUM
ajst-32566	147	15	.	.	PUNCT
ajst-32566	147	16	hard	hard	ADJ
ajst-32566	147	17	to	to	PART
ajst-32566	147	18	define	define	VERB
ajst-32566	147	19	an	an	DET
ajst-32566	147	20	emotion	emotion	NOUN
ajst-32566	147	21	2	2	NUM
ajst-32566	147	22	.	.	PUNCT
ajst-32566	148	1	different	different	ADJ
ajst-32566	148	2	people	people	NOUN
ajst-32566	148	3	behave	behave	VERB
ajst-32566	148	4	differently	differently	ADV
ajst-32566	148	5	in	in	ADP
ajst-32566	148	6	the	the	DET
ajst-32566	148	7	same	same	ADJ
ajst-32566	148	8	emotion	emotion	NOUN
ajst-32566	148	9	state	state	NOUN
ajst-32566	148	10	;	;	PUNCT
ajst-32566	148	11	different	different	ADJ
ajst-32566	148	12	people	people	NOUN
ajst-32566	148	13	have	have	VERB
ajst-32566	148	14	different	different	ADJ
ajst-32566	148	15	emotions	emotion	NOUN
ajst-32566	148	16	in	in	ADP
ajst-32566	148	17	a	a	DET
ajst-32566	148	18	same	same	ADJ
ajst-32566	148	19	circumstance	circumstance	NOUN
ajst-32566	148	20	3	3	NUM
ajst-32566	148	21	.	.	PUNCT
ajst-32566	148	22	chosen	choose	VERB
ajst-32566	148	23	features	feature	VERB
ajst-32566	148	24	hard	hard	ADJ
ajst-32566	148	25	to	to	PART
ajst-32566	148	26	be	be	AUX
ajst-32566	148	27	shown	show	VERB
ajst-32566	148	28	in	in	ADP
ajst-32566	148	29	all	all	DET
ajst-32566	148	30	subjects	subject	NOUN
ajst-32566	148	31	;	;	PUNCT
ajst-32566	148	32	subjects	subject	NOUN
ajst-32566	148	33	can	can	AUX
ajst-32566	148	34	not	not	PART
ajst-32566	148	35	on	on	ADP
ajst-32566	148	36	behalf	behalf	NOUN
ajst-32566	148	37	of	of	ADP
ajst-32566	148	38	everyone	everyone	PRON
ajst-32566	148	39	.	.	PUNCT
ajst-32566	149	1	ser	ser	NOUN
ajst-32566	149	2	not	not	PART
ajst-32566	149	3	invasive	invasive	VERB
ajst-32566	149	4	easy	easy	ADJ
ajst-32566	149	5	-	-	PUNCT
ajst-32566	149	6	to	to	PART
ajst-32566	149	7	-	-	PUNCT
ajst-32566	149	8	be	be	AUX
ajst-32566	149	9	-	-	PUNCT
ajst-32566	149	10	disturbed	disturb	VERB
ajst-32566	149	11	detected	detect	VERB
ajst-32566	149	12	results	result	NOUN
ajst-32566	149	13	eeg	eeg	PROPN
ajst-32566	149	14	/	/	SYM
ajst-32566	149	15	ecg	ecg	PROPN
ajst-32566	149	16	impossible	impossible	ADJ
ajst-32566	149	17	to	to	PART
ajst-32566	149	18	be	be	AUX
ajst-32566	149	19	controlled	control	VERB
ajst-32566	149	20	artificially	artificially	ADV
ajst-32566	149	21	1	1	NUM
ajst-32566	149	22	.	.	PUNCT
ajst-32566	149	23	noises	noise	VERB
ajst-32566	150	1	2	2	NUM
ajst-32566	150	2	.	.	NOUN
ajst-32566	150	3	hard	hard	ADJ
ajst-32566	150	4	to	to	PART
ajst-32566	150	5	collect	collect	VERB
ajst-32566	150	6	data	datum	NOUN
ajst-32566	150	7	ter	ter	NOUN
ajst-32566	150	8	capable	capable	ADJ
ajst-32566	150	9	of	of	ADP
ajst-32566	150	10	completing	complete	VERB
ajst-32566	150	11	the	the	DET
ajst-32566	150	12	picture	picture	NOUN
ajst-32566	150	13	for	for	ADP
ajst-32566	150	14	digital	digital	ADJ
ajst-32566	150	15	contexts	context	NOUN
ajst-32566	150	16	easy	easy	ADJ
ajst-32566	150	17	-	-	PUNCT
ajst-32566	150	18	to	to	PART
ajst-32566	150	19	-	-	PUNCT
ajst-32566	150	20	be	be	AUX
ajst-32566	150	21	-	-	PUNCT
ajst-32566	150	22	disturbed	disturb	VERB
ajst-32566	150	23	detected	detect	VERB
ajst-32566	150	24	results	result	NOUN
ajst-32566	150	25	all	all	PRON
ajst-32566	150	26	of	of	ADP
ajst-32566	150	27	these	these	PRON
ajst-32566	150	28	show	show	VERB
ajst-32566	150	29	that	that	SCONJ
ajst-32566	150	30	no	no	DET
ajst-32566	150	31	method	method	NOUN
ajst-32566	150	32	can	can	AUX
ajst-32566	150	33	be	be	AUX
ajst-32566	150	34	totally	totally	ADV
ajst-32566	150	35	perfect	perfect	ADJ
ajst-32566	150	36	,	,	PUNCT
ajst-32566	150	37	each	each	PRON
ajst-32566	150	38	of	of	ADP
ajst-32566	150	39	them	they	PRON
ajst-32566	150	40	has	have	VERB
ajst-32566	150	41	its	its	PRON
ajst-32566	150	42	advantages	advantage	NOUN
ajst-32566	150	43	and	and	CCONJ
ajst-32566	150	44	disadvantages	disadvantage	NOUN
ajst-32566	150	45	.	.	PUNCT
ajst-32566	151	1	if	if	SCONJ
ajst-32566	151	2	it	it	PRON
ajst-32566	151	3	’s	’s	AUX
ajst-32566	151	4	needed	need	VERB
ajst-32566	151	5	to	to	PART
ajst-32566	151	6	decide	decide	VERB
ajst-32566	151	7	which	which	DET
ajst-32566	151	8	method	method	NOUN
ajst-32566	151	9	to	to	PART
ajst-32566	151	10	use	use	VERB
ajst-32566	151	11	,	,	PUNCT
ajst-32566	151	12	it	it	PRON
ajst-32566	151	13	’s	’s	AUX
ajst-32566	151	14	suggested	suggest	VERB
ajst-32566	151	15	to	to	PART
ajst-32566	151	16	balance	balance	VERB
ajst-32566	151	17	those	those	DET
ajst-32566	151	18	pros	pro	NOUN
ajst-32566	151	19	and	and	CCONJ
ajst-32566	151	20	cons	con	NOUN
ajst-32566	151	21	carefully	carefully	ADV
ajst-32566	151	22	with	with	ADP
ajst-32566	151	23	users	user	NOUN
ajst-32566	151	24	’	'	PUNCT
ajst-32566	151	25	needs	need	NOUN
ajst-32566	151	26	.	.	PUNCT
ajst-32566	152	1	or	or	CCONJ
ajst-32566	152	2	maybe	maybe	ADV
ajst-32566	152	3	in	in	ADP
ajst-32566	152	4	the	the	DET
ajst-32566	152	5	future	future	NOUN
ajst-32566	152	6	,	,	PUNCT
ajst-32566	152	7	a	a	DET
ajst-32566	152	8	multimodal	multimodal	NOUN
ajst-32566	152	9	ai	ai	NOUN
ajst-32566	152	10	system	system	NOUN
ajst-32566	152	11	intelligently	intelligently	ADV
ajst-32566	152	12	integrating	integrate	VERB
ajst-32566	152	13	information	information	NOUN
ajst-32566	152	14	from	from	ADP
ajst-32566	152	15	faces	face	NOUN
ajst-32566	152	16	,	,	PUNCT
ajst-32566	152	17	speeches	speech	NOUN
ajst-32566	152	18	,	,	PUNCT
ajst-32566	152	19	physiological	physiological	ADJ
ajst-32566	152	20	signals	signal	NOUN
ajst-32566	152	21	and	and	CCONJ
ajst-32566	152	22	text	text	NOUN
ajst-32566	152	23	will	will	AUX
ajst-32566	152	24	be	be	AUX
ajst-32566	152	25	developed	develop	VERB
ajst-32566	152	26	,	,	PUNCT
ajst-32566	152	27	in	in	ADP
ajst-32566	152	28	order	order	NOUN
ajst-32566	152	29	to	to	PART
ajst-32566	152	30	draw	draw	VERB
ajst-32566	152	31	on	on	ADP
ajst-32566	152	32	the	the	DET
ajst-32566	152	33	strengths	strength	NOUN
ajst-32566	152	34	from	from	ADP
ajst-32566	152	35	every	every	DET
ajst-32566	152	36	modality	modality	NOUN
ajst-32566	152	37	and	and	CCONJ
ajst-32566	152	38	avoid	avoid	VERB
ajst-32566	152	39	problems	problem	NOUN
ajst-32566	152	40	which	which	PRON
ajst-32566	152	41	do	do	AUX
ajst-32566	152	42	n’t	not	PART
ajst-32566	152	43	occur	occur	VERB
ajst-32566	152	44	to	to	ADP
ajst-32566	152	45	all	all	DET
ajst-32566	152	46	226	226	NUM
ajst-32566	152	47	modalities	modality	NOUN
ajst-32566	152	48	,	,	PUNCT
ajst-32566	152	49	such	such	ADJ
ajst-32566	152	50	as	as	ADP
ajst-32566	152	51	subjective	subjective	ADJ
ajst-32566	152	52	disturbance	disturbance	NOUN
ajst-32566	152	53	.	.	PUNCT
ajst-32566	153	1	in	in	ADP
ajst-32566	153	2	the	the	DET
ajst-32566	153	3	meantime	meantime	NOUN
ajst-32566	153	4	,	,	PUNCT
ajst-32566	153	5	efforts	effort	NOUN
ajst-32566	153	6	need	need	VERB
ajst-32566	153	7	to	to	PART
ajst-32566	153	8	be	be	AUX
ajst-32566	153	9	done	do	VERB
ajst-32566	153	10	to	to	PART
ajst-32566	153	11	mitigate	mitigate	VERB
ajst-32566	153	12	challenges	challenge	NOUN
ajst-32566	153	13	which	which	PRON
ajst-32566	153	14	generally	generally	ADV
ajst-32566	153	15	exist	exist	VERB
ajst-32566	153	16	in	in	ADP
ajst-32566	153	17	every	every	DET
ajst-32566	153	18	method	method	NOUN
ajst-32566	153	19	.	.	PUNCT
ajst-32566	154	1	this	this	PRON
ajst-32566	154	2	is	be	AUX
ajst-32566	154	3	the	the	DET
ajst-32566	154	4	work	work	NOUN
ajst-32566	154	5	of	of	ADP
ajst-32566	154	6	not	not	PART
ajst-32566	154	7	only	only	ADV
ajst-32566	154	8	computer	computer	NOUN
ajst-32566	154	9	science	science	NOUN
ajst-32566	154	10	learners	learner	NOUN
ajst-32566	154	11	,	,	PUNCT
ajst-32566	154	12	but	but	CCONJ
ajst-32566	154	13	also	also	ADV
ajst-32566	154	14	psychology	psychology	NOUN
ajst-32566	154	15	learners	learner	NOUN
ajst-32566	154	16	.	.	PUNCT
ajst-32566	155	1	4	4	X
ajst-32566	155	2	.	.	X
ajst-32566	155	3	conclusion	conclusion	NOUN
ajst-32566	155	4	in	in	ADP
ajst-32566	155	5	conclusion	conclusion	NOUN
ajst-32566	155	6	,	,	PUNCT
ajst-32566	155	7	this	this	DET
ajst-32566	155	8	review	review	NOUN
ajst-32566	155	9	provides	provide	VERB
ajst-32566	155	10	a	a	DET
ajst-32566	155	11	programmatic	programmatic	ADJ
ajst-32566	155	12	overview	overview	NOUN
ajst-32566	155	13	on	on	ADP
ajst-32566	155	14	emotion	emotion	NOUN
ajst-32566	155	15	recognition	recognition	NOUN
ajst-32566	155	16	based	base	VERB
ajst-32566	155	17	on	on	ADP
ajst-32566	155	18	ai	ai	PROPN
ajst-32566	155	19	,	,	PUNCT
ajst-32566	155	20	which	which	PRON
ajst-32566	155	21	is	be	AUX
ajst-32566	155	22	a	a	DET
ajst-32566	155	23	rapidly	rapidly	ADV
ajst-32566	155	24	developing	develop	VERB
ajst-32566	155	25	technology	technology	NOUN
ajst-32566	155	26	integrating	integrate	VERB
ajst-32566	155	27	two	two	NUM
ajst-32566	155	28	different	different	ADJ
ajst-32566	155	29	subjects	subject	NOUN
ajst-32566	155	30	(	(	PUNCT
ajst-32566	155	31	artificial	artificial	ADJ
ajst-32566	155	32	intelligence	intelligence	NOUN
ajst-32566	155	33	and	and	CCONJ
ajst-32566	155	34	emotion	emotion	NOUN
ajst-32566	155	35	recognition	recognition	NOUN
ajst-32566	155	36	)	)	PUNCT
ajst-32566	155	37	.	.	PUNCT
ajst-32566	156	1	moreover	moreover	ADV
ajst-32566	156	2	,	,	PUNCT
ajst-32566	156	3	the	the	DET
ajst-32566	156	4	author	author	NOUN
ajst-32566	156	5	extracts	extract	VERB
ajst-32566	156	6	a	a	DET
ajst-32566	156	7	general	general	ADJ
ajst-32566	156	8	working	working	NOUN
ajst-32566	156	9	flow	flow	NOUN
ajst-32566	156	10	after	after	ADP
ajst-32566	156	11	referring	refer	VERB
ajst-32566	156	12	to	to	ADP
ajst-32566	156	13	vast	vast	ADJ
ajst-32566	156	14	amounts	amount	NOUN
ajst-32566	156	15	of	of	ADP
ajst-32566	156	16	academic	academic	ADJ
ajst-32566	156	17	literatures	literature	NOUN
ajst-32566	156	18	.	.	PUNCT
ajst-32566	157	1	this	this	PRON
ajst-32566	157	2	presents	present	VERB
ajst-32566	157	3	a	a	DET
ajst-32566	157	4	clear	clear	ADJ
ajst-32566	157	5	and	and	CCONJ
ajst-32566	157	6	easy	easy	ADJ
ajst-32566	157	7	-	-	PUNCT
ajst-32566	157	8	to	to	AUX
ajst-32566	157	9	-	-	PUNCT
ajst-32566	157	10	follow	follow	VERB
ajst-32566	157	11	methodology	methodology	NOUN
ajst-32566	157	12	framework	framework	NOUN
ajst-32566	157	13	,	,	PUNCT
ajst-32566	157	14	especially	especially	ADV
ajst-32566	157	15	useful	useful	ADJ
ajst-32566	157	16	for	for	ADP
ajst-32566	157	17	those	those	DET
ajst-32566	157	18	beginners	beginner	NOUN
ajst-32566	157	19	.	.	PUNCT
ajst-32566	158	1	additionally	additionally	ADV
ajst-32566	158	2	,	,	PUNCT
ajst-32566	158	3	four	four	NUM
ajst-32566	158	4	main	main	ADJ
ajst-32566	158	5	modalities	modality	NOUN
ajst-32566	158	6	related	relate	VERB
ajst-32566	158	7	to	to	PART
ajst-32566	158	8	ai	ai	VERB
ajst-32566	158	9	emotion	emotion	NOUN
ajst-32566	158	10	recognition	recognition	NOUN
ajst-32566	158	11	are	be	AUX
ajst-32566	158	12	compared	compare	VERB
ajst-32566	158	13	in	in	ADP
ajst-32566	158	14	the	the	DET
ajst-32566	158	15	“	"	PUNCT
ajst-32566	158	16	discussion	discussion	NOUN
ajst-32566	158	17	”	"	PUNCT
ajst-32566	158	18	session	session	NOUN
ajst-32566	158	19	,	,	PUNCT
ajst-32566	158	20	helping	help	VERB
ajst-32566	158	21	readers	reader	NOUN
ajst-32566	158	22	better	well	ADV
ajst-32566	158	23	understand	understand	VERB
ajst-32566	158	24	and	and	CCONJ
ajst-32566	158	25	choose	choose	VERB
ajst-32566	158	26	the	the	DET
ajst-32566	158	27	most	most	ADV
ajst-32566	158	28	suitable	suitable	ADJ
ajst-32566	158	29	method	method	NOUN
ajst-32566	158	30	in	in	ADP
ajst-32566	158	31	a	a	DET
ajst-32566	158	32	specific	specific	ADJ
ajst-32566	158	33	application	application	NOUN
ajst-32566	158	34	occasion	occasion	NOUN
ajst-32566	158	35	.	.	PUNCT
ajst-32566	159	1	it	it	PRON
ajst-32566	159	2	can	can	AUX
ajst-32566	159	3	be	be	AUX
ajst-32566	159	4	concluded	conclude	VERB
ajst-32566	159	5	from	from	ADP
ajst-32566	159	6	the	the	DET
ajst-32566	159	7	review	review	NOUN
ajst-32566	159	8	that	that	SCONJ
ajst-32566	159	9	there	there	PRON
ajst-32566	159	10	are	be	VERB
ajst-32566	159	11	plenty	plenty	NOUN
ajst-32566	159	12	of	of	ADP
ajst-32566	159	13	methods	method	NOUN
ajst-32566	159	14	to	to	PART
ajst-32566	159	15	recognize	recognize	VERB
ajst-32566	159	16	human	human	ADJ
ajst-32566	159	17	emotions	emotion	NOUN
ajst-32566	159	18	with	with	ADP
ajst-32566	159	19	the	the	DET
ajst-32566	159	20	help	help	NOUN
ajst-32566	159	21	of	of	ADP
ajst-32566	159	22	ai	ai	VERB
ajst-32566	159	23	.	.	PUNCT
ajst-32566	160	1	different	different	ADJ
ajst-32566	160	2	forms	form	NOUN
ajst-32566	160	3	of	of	ADP
ajst-32566	160	4	data	datum	NOUN
ajst-32566	160	5	could	could	AUX
ajst-32566	160	6	be	be	AUX
ajst-32566	160	7	delivered	deliver	VERB
ajst-32566	160	8	to	to	ADP
ajst-32566	160	9	large	large	ADJ
ajst-32566	160	10	language	language	NOUN
ajst-32566	160	11	models	model	NOUN
ajst-32566	160	12	after	after	ADP
ajst-32566	160	13	preprocess	preprocess	NOUN
ajst-32566	160	14	.	.	PUNCT
ajst-32566	161	1	among	among	ADP
ajst-32566	161	2	them	they	PRON
ajst-32566	161	3	,	,	PUNCT
ajst-32566	161	4	fer	fer	PROPN
ajst-32566	161	5	,	,	PUNCT
ajst-32566	161	6	ser	ser	NOUN
ajst-32566	161	7	,	,	PUNCT
ajst-32566	161	8	emotion	emotion	NOUN
ajst-32566	161	9	recognition	recognition	NOUN
ajst-32566	161	10	based	base	VERB
ajst-32566	161	11	on	on	ADP
ajst-32566	161	12	physiological	physiological	ADJ
ajst-32566	161	13	signals	signal	NOUN
ajst-32566	161	14	and	and	CCONJ
ajst-32566	161	15	ter	ter	NOUN
ajst-32566	161	16	are	be	AUX
ajst-32566	161	17	the	the	DET
ajst-32566	161	18	four	four	NUM
ajst-32566	161	19	most	most	ADV
ajst-32566	161	20	common	common	ADJ
ajst-32566	161	21	modalities	modality	NOUN
ajst-32566	161	22	.	.	PUNCT
ajst-32566	162	1	this	this	DET
ajst-32566	162	2	review	review	NOUN
ajst-32566	162	3	demonstrates	demonstrate	VERB
ajst-32566	162	4	some	some	DET
ajst-32566	162	5	core	core	NOUN
ajst-32566	162	6	methodologies	methodology	NOUN
ajst-32566	162	7	based	base	VERB
ajst-32566	162	8	on	on	ADP
ajst-32566	162	9	each	each	PRON
ajst-32566	162	10	of	of	ADP
ajst-32566	162	11	them	they	PRON
ajst-32566	162	12	.	.	PUNCT
ajst-32566	163	1	the	the	DET
ajst-32566	163	2	analysis	analysis	NOUN
ajst-32566	163	3	indicates	indicate	VERB
ajst-32566	163	4	that	that	SCONJ
ajst-32566	163	5	there	there	PRON
ajst-32566	163	6	is	be	VERB
ajst-32566	163	7	no	no	DET
ajst-32566	163	8	single	single	ADJ
ajst-32566	163	9	superior	superior	ADJ
ajst-32566	163	10	method	method	NOUN
ajst-32566	163	11	.	.	PUNCT
ajst-32566	164	1	while	while	SCONJ
ajst-32566	164	2	fer	fer	PROPN
ajst-32566	164	3	is	be	AUX
ajst-32566	164	4	more	more	ADV
ajst-32566	164	5	developed	developed	ADJ
ajst-32566	164	6	,	,	PUNCT
ajst-32566	164	7	emotion	emotion	NOUN
ajst-32566	164	8	recognition	recognition	NOUN
ajst-32566	164	9	based	base	VERB
ajst-32566	164	10	on	on	ADP
ajst-32566	164	11	physiological	physiological	ADJ
ajst-32566	164	12	signals	signal	NOUN
ajst-32566	164	13	is	be	AUX
ajst-32566	164	14	resistant	resistant	ADJ
ajst-32566	164	15	to	to	ADP
ajst-32566	164	16	deception	deception	NOUN
ajst-32566	164	17	.	.	PUNCT
ajst-32566	165	1	by	by	ADP
ajst-32566	165	2	contrast	contrast	NOUN
ajst-32566	165	3	,	,	PUNCT
ajst-32566	165	4	ser	ser	NOUN
ajst-32566	165	5	is	be	AUX
ajst-32566	165	6	more	more	ADV
ajst-32566	165	7	non	non	ADJ
ajst-32566	165	8	-	-	ADJ
ajst-32566	165	9	invasive	invasive	ADJ
ajst-32566	165	10	and	and	CCONJ
ajst-32566	165	11	ter	ter	NOUN
ajst-32566	165	12	completes	complete	VERB
ajst-32566	165	13	the	the	DET
ajst-32566	165	14	picture	picture	NOUN
ajst-32566	165	15	for	for	ADP
ajst-32566	165	16	digital	digital	ADJ
ajst-32566	165	17	contexts	context	NOUN
ajst-32566	165	18	.	.	PUNCT
ajst-32566	166	1	looking	look	VERB
ajst-32566	166	2	forward	forward	ADV
ajst-32566	166	3	,	,	PUNCT
ajst-32566	166	4	hybrid	hybrid	ADJ
ajst-32566	166	5	and	and	CCONJ
ajst-32566	166	6	multimodal	multimodal	NOUN
ajst-32566	166	7	systems	system	NOUN
ajst-32566	166	8	may	may	AUX
ajst-32566	166	9	be	be	AUX
ajst-32566	166	10	effective	effective	ADJ
ajst-32566	166	11	to	to	PART
ajst-32566	166	12	draw	draw	VERB
ajst-32566	166	13	on	on	ADP
ajst-32566	166	14	the	the	DET
ajst-32566	166	15	advantages	advantage	NOUN
ajst-32566	166	16	and	and	CCONJ
ajst-32566	166	17	avoid	avoid	VERB
ajst-32566	166	18	the	the	DET
ajst-32566	166	19	limitations	limitation	NOUN
ajst-32566	166	20	of	of	ADP
ajst-32566	166	21	a	a	DET
ajst-32566	166	22	single	single	ADJ
ajst-32566	166	23	method	method	NOUN
ajst-32566	166	24	.	.	PUNCT
ajst-32566	167	1	this	this	PRON
ajst-32566	167	2	employs	employ	VERB
ajst-32566	167	3	the	the	DET
ajst-32566	167	4	complementary	complementary	ADJ
ajst-32566	167	5	strengths	strength	NOUN
ajst-32566	167	6	of	of	ADP
ajst-32566	167	7	various	various	ADJ
ajst-32566	167	8	methodologies	methodology	NOUN
ajst-32566	167	9	.	.	PUNCT
ajst-32566	168	1	especially	especially	ADV
ajst-32566	168	2	when	when	SCONJ
ajst-32566	168	3	it	it	PRON
ajst-32566	168	4	comes	come	VERB
ajst-32566	168	5	to	to	ADP
ajst-32566	168	6	combining	combine	VERB
ajst-32566	168	7	different	different	ADJ
ajst-32566	168	8	modalities	modality	NOUN
ajst-32566	168	9	,	,	PUNCT
ajst-32566	168	10	as	as	SCONJ
ajst-32566	168	11	they	they	PRON
ajst-32566	168	12	differ	differ	VERB
ajst-32566	168	13	from	from	ADP
ajst-32566	168	14	each	each	DET
ajst-32566	168	15	other	other	ADJ
ajst-32566	168	16	in	in	ADP
ajst-32566	168	17	numerous	numerous	ADJ
ajst-32566	168	18	aspects	aspect	NOUN
ajst-32566	168	19	,	,	PUNCT
ajst-32566	168	20	making	make	VERB
ajst-32566	168	21	it	it	PRON
ajst-32566	168	22	easier	easy	ADJ
ajst-32566	168	23	to	to	PART
ajst-32566	168	24	find	find	VERB
ajst-32566	168	25	out	out	ADP
ajst-32566	168	26	complementary	complementary	ADJ
ajst-32566	168	27	fields	field	NOUN
ajst-32566	168	28	.	.	PUNCT
ajst-32566	169	1	apart	apart	ADV
ajst-32566	169	2	from	from	ADP
ajst-32566	169	3	improving	improve	VERB
ajst-32566	169	4	algorithm	algorithm	NOUN
ajst-32566	169	5	,	,	PUNCT
ajst-32566	169	6	ethical	ethical	ADJ
ajst-32566	169	7	issues	issue	NOUN
ajst-32566	169	8	should	should	AUX
ajst-32566	169	9	also	also	ADV
ajst-32566	169	10	be	be	AUX
ajst-32566	169	11	treated	treat	VERB
ajst-32566	169	12	rigorously	rigorously	ADV
ajst-32566	169	13	.	.	PUNCT
ajst-32566	170	1	no	no	DET
ajst-32566	170	2	method	method	NOUN
ajst-32566	170	3	should	should	AUX
ajst-32566	170	4	be	be	AUX
ajst-32566	170	5	utilized	utilize	VERB
ajst-32566	170	6	or	or	CCONJ
ajst-32566	170	7	developed	develop	VERB
ajst-32566	170	8	when	when	SCONJ
ajst-32566	170	9	it	it	PRON
ajst-32566	170	10	invades	invade	VERB
ajst-32566	170	11	the	the	DET
ajst-32566	170	12	privacy	privacy	NOUN
ajst-32566	170	13	of	of	ADP
ajst-32566	170	14	recorded	record	VERB
ajst-32566	170	15	individuals	individual	NOUN
ajst-32566	170	16	,	,	PUNCT
ajst-32566	170	17	for	for	ADP
ajst-32566	170	18	example	example	NOUN
ajst-32566	170	19	.	.	PUNCT
ajst-32566	171	1	sticking	stick	VERB
ajst-32566	171	2	to	to	ADP
ajst-32566	171	3	this	this	DET
ajst-32566	171	4	notion	notion	NOUN
ajst-32566	171	5	can	can	AUX
ajst-32566	171	6	help	help	VERB
ajst-32566	171	7	us	we	PRON
ajst-32566	171	8	develop	develop	VERB
ajst-32566	171	9	a	a	DET
ajst-32566	171	10	more	more	ADV
ajst-32566	171	11	trustworthy	trustworthy	ADJ
ajst-32566	171	12	technology	technology	NOUN
ajst-32566	171	13	.	.	PUNCT
ajst-32566	172	1	references	reference	NOUN
ajst-32566	172	2	[	[	X
ajst-32566	172	3	1	1	NUM
ajst-32566	172	4	]	]	X
ajst-32566	172	5	tauseef	tauseef	ADJ
ajst-32566	172	6	sohaib	sohaib	NOUN
ajst-32566	172	7	,	,	PUNCT
ajst-32566	172	8	ahmad	ahmad	PROPN
ajst-32566	172	9	qureshi	qureshi	PROPN
ajst-32566	172	10	,	,	PUNCT
ajst-32566	172	11	shahnawaz	shahnawaz	ADJ
ajst-32566	172	12	hagelb¨ack	hagelb¨ack	PROPN
ajst-32566	172	13	,	,	PUNCT
ajst-32566	172	14	johan	johan	PROPN
ajst-32566	172	15	hilborn	hilborn	PROPN
ajst-32566	172	16	,	,	PUNCT
ajst-32566	172	17	olle	olle	PROPN
ajst-32566	172	18	jerˇci´c	jerˇci´c	PROPN
ajst-32566	172	19	,	,	PUNCT
ajst-32566	172	20	petar	petar	PROPN
ajst-32566	172	21	.	.	PUNCT
ajst-32566	173	1	evaluating	evaluate	VERB
ajst-32566	173	2	classifiers	classifier	NOUN
ajst-32566	173	3	for	for	ADP
ajst-32566	173	4	emotion	emotion	NOUN
ajst-32566	173	5	recognition	recognition	NOUN
ajst-32566	173	6	using	use	VERB
ajst-32566	173	7	eeg	eeg	PROPN
ajst-32566	173	8	.	.	PUNCT
ajst-32566	173	9	found	find	VERB
ajst-32566	173	10	.	.	PUNCT
ajst-32566	174	1	augment	augment	NOUN
ajst-32566	174	2	.	.	PUNCT
ajst-32566	175	1	cognit	cognit	VERB
ajst-32566	175	2	.	.	PUNCT
ajst-32566	176	1	lecture	lecture	NOUN
ajst-32566	176	2	notes	note	VERB
ajst-32566	176	3	comput	comput	ADJ
ajst-32566	176	4	.	.	PUNCT
ajst-32566	177	1	sci	sci	PROPN
ajst-32566	177	2	..	..	PUNCT
ajst-32566	177	3	8027(2013	8027(2013	NUM
ajst-32566	177	4	)	)	PUNCT
ajst-32566	177	5	.	.	PUNCT
ajst-32566	178	1	492	492	NUM
ajst-32566	178	2	-	-	PUNCT
ajst-32566	178	3	501.10.1007/978	501.10.1007/978	NUM
ajst-32566	178	4	-	-	PUNCT
ajst-32566	178	5	3	3	NUM
ajst-32566	178	6	-	-	PUNCT
ajst-32566	178	7	642	642	NUM
ajst-32566	178	8	-	-	PUNCT
ajst-32566	178	9	39454	39454	NUM
ajst-32566	178	10	-	-	SYM
ajst-32566	178	11	6	6	NUM
ajst-32566	178	12	53	53	NUM
ajst-32566	178	13	.	.	PUNCT
ajst-32566	179	1	[	[	X
ajst-32566	179	2	2	2	NUM
ajst-32566	179	3	]	]	PUNCT
ajst-32566	179	4	a.	a.	NOUN
ajst-32566	179	5	landowska	landowska	PROPN
ajst-32566	179	6	,	,	PUNCT
ajst-32566	179	7	m.	m.	NOUN
ajst-32566	179	8	szwoch	szwoch	PROPN
ajst-32566	179	9	,	,	PUNCT
ajst-32566	179	10	w.	w.	PROPN
ajst-32566	179	11	szwoch	szwoch	PROPN
ajst-32566	179	12	,	,	PUNCT
ajst-32566	179	13	m.r	m.r	PROPN
ajst-32566	179	14	.	.	PROPN
ajst-32566	179	15	wróbel	wróbel	PROPN
ajst-32566	179	16	,	,	PUNCT
ajst-32566	179	17	a.	a.	NOUN
ajst-32566	179	18	kołakowska	kołakowska	PROPN
ajst-32566	179	19	,	,	PUNCT
ajst-32566	179	20	emotion	emotion	NOUN
ajst-32566	179	21	recognition	recognition	NOUN
ajst-32566	179	22	and	and	CCONJ
ajst-32566	179	23	its	its	PRON
ajst-32566	179	24	applications	application	NOUN
ajst-32566	179	25	,	,	PUNCT
ajst-32566	179	26	springer	springer	NOUN
ajst-32566	179	27	international	international	ADJ
ajst-32566	179	28	publishing	publishing	NOUN
ajst-32566	179	29	,	,	PUNCT
ajst-32566	179	30	2014	2014	NUM
ajst-32566	179	31	,	,	PUNCT
ajst-32566	179	32	10.1007/978	10.1007/978	NUM
ajst-32566	179	33	-	-	SYM
ajst-32566	179	34	3	3	NUM
ajst-32566	179	35	-	-	NUM
ajst-32566	179	36	319	319	NUM
ajst-32566	179	37	-	-	PUNCT
ajst-32566	179	38	08491	08491	NUM
ajst-32566	179	39	-	-	SYM
ajst-32566	179	40	6_5	6_5	NUM
ajst-32566	179	41	.	.	PUNCT
ajst-32566	180	1	[	[	X
ajst-32566	180	2	3	3	X
ajst-32566	180	3	]	]	X
ajst-32566	180	4	ancheng	ancheng	PROPN
ajst-32566	180	5	fang	fang	PROPN
ajst-32566	180	6	,	,	PUNCT
ajst-32566	180	7	fan	fan	PROPN
ajst-32566	180	8	pan	pan	PROPN
ajst-32566	180	9	,	,	PUNCT
ajst-32566	180	10	weichuang	weichuang	PROPN
ajst-32566	180	11	yu	yu	PROPN
ajst-32566	180	12	,	,	PUNCT
ajst-32566	180	13	linkun	linkun	PROPN
ajst-32566	180	14	yang	yang	PROPN
ajst-32566	180	15	,	,	PUNCT
ajst-32566	180	16	peiyu	peiyu	VERB
ajst-32566	180	17	he	he	PRON
ajst-32566	180	18	,	,	PUNCT
ajst-32566	180	19	ecg	ecg	PROPN
ajst-32566	180	20	-	-	PUNCT
ajst-32566	180	21	based	base	VERB
ajst-32566	180	22	emotion	emotion	NOUN
ajst-32566	180	23	recognition	recognition	NOUN
ajst-32566	180	24	using	use	VERB
ajst-32566	180	25	random	random	ADJ
ajst-32566	180	26	convolutional	convolutional	ADJ
ajst-32566	180	27	kernel	kernel	NOUN
ajst-32566	180	28	method	method	NOUN
ajst-32566	180	29	,	,	PUNCT
ajst-32566	180	30	https://doi.org/10.1016/j.bspc.2023.105907	https://doi.org/10.1016/j.bspc.2023.105907	PROPN
ajst-32566	180	31	.	.	PUNCT
ajst-32566	181	1	[	[	X
ajst-32566	181	2	4	4	NUM
ajst-32566	181	3	]	]	X
ajst-32566	181	4	picard	picard	NOUN
ajst-32566	181	5	,	,	PUNCT
ajst-32566	181	6	r.	r.	PROPN
ajst-32566	181	7	w.	w.	PROPN
ajst-32566	181	8	(	(	PUNCT
ajst-32566	181	9	1995	1995	NUM
ajst-32566	181	10	)	)	PUNCT
ajst-32566	181	11	.	.	PUNCT
ajst-32566	182	1	affective	affective	PROPN
ajst-32566	182	2	computing	computing	NOUN
ajst-32566	182	3	.	.	PUNCT
ajst-32566	183	1	mit	mit	NOUN
ajst-32566	183	2	media	medium	NOUN
ajst-32566	183	3	lab	lab	NOUN
ajst-32566	183	4	technical	technical	ADJ
ajst-32566	183	5	report	report	PROPN
ajst-32566	183	6	no	no	INTJ
ajst-32566	183	7	.	.	NOUN
ajst-32566	183	8	321	321	NUM
ajst-32566	183	9	.	.	PUNCT
ajst-32566	184	1	https://affect	https://affect	NOUN
ajst-32566	184	2	.	.	PUNCT
ajst-32566	185	1	media.mit.edu/pdfs/95.picard.pdf	media.mit.edu/pdfs/95.picard.pdf	PROPN
ajst-32566	185	2	.	.	PUNCT
ajst-32566	186	1	[	[	X
ajst-32566	186	2	5	5	NUM
ajst-32566	186	3	]	]	PUNCT
ajst-32566	186	4	shuiping	shuipe	VERB
ajst-32566	186	5	wang	wang	PROPN
ajst-32566	186	6	,	,	PUNCT
ajst-32566	186	7	feel	feel	VERB
ajst-32566	186	8	:	:	PUNCT
ajst-32566	186	9	fast	fast	ADJ
ajst-32566	186	10	and	and	CCONJ
ajst-32566	186	11	effective	effective	ADJ
ajst-32566	186	12	emotion	emotion	NOUN
ajst-32566	186	13	labeling	labeling	NOUN
ajst-32566	186	14	,	,	PUNCT
ajst-32566	186	15	a	a	DET
ajst-32566	186	16	dual	dual	ADJ
ajst-32566	186	17	ensemble	ensemble	ADJ
ajst-32566	186	18	approach	approach	NOUN
ajst-32566	186	19	for	for	ADP
ajst-32566	186	20	effective	effective	ADJ
ajst-32566	186	21	facial	facial	ADJ
ajst-32566	186	22	emotion	emotion	NOUN
ajst-32566	186	23	recognition	recognition	NOUN
ajst-32566	186	24	,	,	PUNCT
ajst-32566	186	25	peerj	peerj	PROPN
ajst-32566	186	26	computer	computer	NOUN
ajst-32566	186	27	science	science	NOUN
ajst-32566	186	28	,	,	PUNCT
ajst-32566	186	29	2025	2025	NUM
ajst-32566	186	30	,	,	PUNCT
ajst-32566	186	31	11	11	NUM
ajst-32566	186	32	:	:	PUNCT
ajst-32566	186	33	e3138	e3138	NUM
ajst-32566	186	34	,	,	PUNCT
ajst-32566	186	35	https://doi.org/10.7717/peerjcs.3138	https://doi.org/10.7717/peerjcs.3138	NOUN
ajst-32566	186	36	.	.	PUNCT
ajst-32566	187	1	[	[	X
ajst-32566	187	2	6	6	NUM
ajst-32566	187	3	]	]	SYM
ajst-32566	187	4	dalvi	dalvi	NOUN
ajst-32566	187	5	,	,	PUNCT
ajst-32566	187	6	m.	m.	NOUN
ajst-32566	187	7	rathod	rathod	PROPN
ajst-32566	187	8	,	,	PUNCT
ajst-32566	187	9	s.	s.	PROPN
ajst-32566	187	10	patil	patil	PROPN
ajst-32566	187	11	,	,	PUNCT
ajst-32566	187	12	s.	s.	PROPN
ajst-32566	187	13	gite	gite	PROPN
ajst-32566	187	14	,	,	PUNCT
ajst-32566	187	15	and	and	CCONJ
ajst-32566	187	16	k.	k.	PROPN
ajst-32566	187	17	kotecha	kotecha	PROPN
ajst-32566	187	18	(	(	PUNCT
ajst-32566	187	19	2021	2021	NUM
ajst-32566	187	20	)	)	PUNCT
ajst-32566	187	21	,	,	PUNCT
ajst-32566	187	22	a	a	DET
ajst-32566	187	23	survey	survey	NOUN
ajst-32566	187	24	of	of	ADP
ajst-32566	187	25	ai	ai	NOUN
ajst-32566	187	26	-	-	PUNCT
ajst-32566	187	27	based	base	VERB
ajst-32566	187	28	facial	facial	ADJ
ajst-32566	187	29	emotion	emotion	NOUN
ajst-32566	187	30	recognition	recognition	NOUN
ajst-32566	187	31	:	:	PUNCT
ajst-32566	187	32	features	feature	NOUN
ajst-32566	187	33	,	,	PUNCT
ajst-32566	187	34	ml	ml	PROPN
ajst-32566	187	35	&	&	CCONJ
ajst-32566	187	36	dl	dl	PROPN
ajst-32566	187	37	techniques	technique	NOUN
ajst-32566	187	38	,	,	PUNCT
ajst-32566	187	39	age	age	NOUN
ajst-32566	187	40	-	-	PUNCT
ajst-32566	187	41	wise	wise	ADJ
ajst-32566	187	42	datasets	dataset	NOUN
ajst-32566	187	43	and	and	CCONJ
ajst-32566	187	44	future	future	ADJ
ajst-32566	187	45	directions	direction	NOUN
ajst-32566	187	46	.	.	PUNCT
ajst-32566	188	1	[	[	X
ajst-32566	188	2	7	7	X
ajst-32566	188	3	]	]	X
ajst-32566	188	4	clément	clément	NOUN
ajst-32566	188	5	gérard	gérard	PROPN
ajst-32566	188	6	daniel	daniel	PROPN
ajst-32566	188	7	darne	darne	PROPN
ajst-32566	188	8	,	,	PUNCT
ajst-32566	188	9	changqin	changqin	PROPN
ajst-32566	188	10	quan	quan	PROPN
ajst-32566	188	11	,	,	PUNCT
ajst-32566	188	12	and	and	CCONJ
ajst-32566	188	13	zhiwei	zhiwei	PROPN
ajst-32566	188	14	luo	luo	PROPN
ajst-32566	188	15	,	,	PUNCT
ajst-32566	188	16	generating	generate	VERB
ajst-32566	188	17	synthetic	synthetic	ADJ
ajst-32566	188	18	facial	facial	ADJ
ajst-32566	188	19	expression	expression	NOUN
ajst-32566	188	20	images	image	NOUN
ajst-32566	188	21	using	use	VERB
ajst-32566	188	22	emostyle	emostyle	NOUN
ajst-32566	188	23	,	,	PUNCT
ajst-32566	188	24	applied	apply	VERB
ajst-32566	188	25	sciences	science	NOUN
ajst-32566	188	26	,	,	PUNCT
ajst-32566	188	27	2025	2025	NUM
ajst-32566	188	28	,	,	PUNCT
ajst-32566	188	29	15(19	15(19	NUM
ajst-32566	188	30	)	)	PUNCT
ajst-32566	188	31	,	,	PUNCT
ajst-32566	188	32	https://doi.org/10.3390/app151910636	https://doi.org/10.3390/app151910636	PROPN
ajst-32566	188	33	.	.	PUNCT
ajst-32566	189	1	[	[	X
ajst-32566	189	2	8	8	NUM
ajst-32566	189	3	]	]	PUNCT
ajst-32566	189	4	boutros	boutros	PROPN
ajst-32566	189	5	,	,	PUNCT
ajst-32566	189	6	f.	f.	PROPN
ajst-32566	189	7	,	,	PUNCT
ajst-32566	189	8	huber	huber	PROPN
ajst-32566	189	9	,	,	PUNCT
ajst-32566	189	10	m.	m.	NOUN
ajst-32566	189	11	,	,	PUNCT
ajst-32566	189	12	siebke	siebke	NOUN
ajst-32566	189	13	,	,	PUNCT
ajst-32566	189	14	p.	p.	NOUN
ajst-32566	189	15	,	,	PUNCT
ajst-32566	189	16	rieber	rieber	NOUN
ajst-32566	189	17	,	,	PUNCT
ajst-32566	189	18	t.	t.	PROPN
ajst-32566	189	19	,	,	PUNCT
ajst-32566	189	20	damer	damer	NOUN
ajst-32566	189	21	,	,	PUNCT
ajst-32566	189	22	n.	n.	NOUN
ajst-32566	189	23	,	,	PUNCT
ajst-32566	189	24	sface	sface	NOUN
ajst-32566	189	25	:	:	PUNCT
ajst-32566	189	26	privacy	privacy	NOUN
ajst-32566	189	27	-	-	PUNCT
ajst-32566	189	28	friendly	friendly	ADJ
ajst-32566	189	29	and	and	CCONJ
ajst-32566	189	30	accurate	accurate	ADJ
ajst-32566	189	31	face	face	NOUN
ajst-32566	189	32	recognition	recognition	NOUN
ajst-32566	189	33	using	use	VERB
ajst-32566	189	34	synthetic	synthetic	ADJ
ajst-32566	189	35	data	datum	NOUN
ajst-32566	189	36	,	,	PUNCT
ajst-32566	189	37	arxiv	arxiv	PROPN
ajst-32566	189	38	2022	2022	NUM
ajst-32566	189	39	,	,	PUNCT
ajst-32566	189	40	arxiv:2206.10520	arxiv:2206.10520	NUM
ajst-32566	189	41	,	,	PUNCT
ajst-32566	189	42	[	[	X
ajst-32566	189	43	google	google	NOUN
ajst-32566	189	44	scholar	scholar	NOUN
ajst-32566	189	45	]	]	PUNCT
ajst-32566	190	1	[	[	X
ajst-32566	190	2	crossref	crossref	NOUN
ajst-32566	190	3	]	]	X
ajst-32566	190	4	.	.	PUNCT
ajst-32566	191	1	227	227	NUM
ajst-32566	192	1	[	[	SYM
ajst-32566	192	2	9	9	NUM
ajst-32566	192	3	]	]	X
ajst-32566	192	4	n.	n.	PROPN
ajst-32566	192	5	c.	c.	PROPN
ajst-32566	192	6	ebner	ebner	PROPN
ajst-32566	192	7	,	,	PUNCT
ajst-32566	192	8	m.	m.	NOUN
ajst-32566	192	9	riediger	riediger	NOUN
ajst-32566	192	10	,	,	PUNCT
ajst-32566	192	11	and	and	CCONJ
ajst-32566	192	12	u.	u.	NOUN
ajst-32566	192	13	lindenberger	lindenberger	NOUN
ajst-32566	192	14	,	,	PUNCT
ajst-32566	192	15	faces	face	VERB
ajst-32566	192	16	—	—	PUNCT
ajst-32566	192	17	a	a	DET
ajst-32566	192	18	database	database	NOUN
ajst-32566	192	19	of	of	ADP
ajst-32566	192	20	facial	facial	ADJ
ajst-32566	192	21	expressions	expression	NOUN
ajst-32566	192	22	in	in	ADP
ajst-32566	192	23	young	young	ADJ
ajst-32566	192	24	,	,	PUNCT
ajst-32566	192	25	middle	middle	NOUN
ajst-32566	192	26	-	-	PUNCT
ajst-32566	192	27	aged	aged	ADJ
ajst-32566	192	28	,	,	PUNCT
ajst-32566	192	29	and	and	CCONJ
ajst-32566	192	30	older	old	ADJ
ajst-32566	192	31	women	woman	NOUN
ajst-32566	192	32	and	and	CCONJ
ajst-32566	192	33	men	man	NOUN
ajst-32566	192	34	:	:	PUNCT
ajst-32566	192	35	development	development	NOUN
ajst-32566	192	36	and	and	CCONJ
ajst-32566	192	37	validation	validation	NOUN
ajst-32566	192	38	,	,	PUNCT
ajst-32566	192	39	behav	behav	NOUN
ajst-32566	192	40	.	.	PUNCT
ajst-32566	193	1	res	re	NOUN
ajst-32566	193	2	.	.	PUNCT
ajst-32566	194	1	methods	method	NOUN
ajst-32566	194	2	,	,	PUNCT
ajst-32566	194	3	vol	vol	NOUN
ajst-32566	194	4	.	.	PROPN
ajst-32566	194	5	42	42	NUM
ajst-32566	194	6	,	,	PUNCT
ajst-32566	194	7	no	no	INTJ
ajst-32566	194	8	.	.	NOUN
ajst-32566	194	9	1	1	NUM
ajst-32566	194	10	,	,	PUNCT
ajst-32566	194	11	pp	pp	ADJ
ajst-32566	194	12	.	.	PUNCT
ajst-32566	195	1	351–362	351–362	NUM
ajst-32566	195	2	,	,	PUNCT
ajst-32566	195	3	feb	feb	PROPN
ajst-32566	195	4	.	.	PROPN
ajst-32566	195	5	2010	2010	NUM
ajst-32566	195	6	,	,	PUNCT
ajst-32566	195	7	doi	doi	NOUN
ajst-32566	195	8	:	:	PUNCT
ajst-32566	195	9	10.3758	10.3758	NUM
ajst-32566	195	10	/	/	SYM
ajst-32566	195	11	brm.42.1.351	brm.42.1.351	NOUN
ajst-32566	195	12	.	.	PUNCT
ajst-32566	196	1	[	[	X
ajst-32566	196	2	10	10	NUM
ajst-32566	196	3	]	]	X
ajst-32566	196	4	j.-j	j.-j	PROPN
ajst-32566	196	5	.	.	PUNCT
ajst-32566	197	1	lv	lv	PROPN
ajst-32566	197	2	,	,	PUNCT
ajst-32566	197	3	x.-h	x.-h	PROPN
ajst-32566	197	4	.	.	PUNCT
ajst-32566	198	1	shao	shao	PROPN
ajst-32566	198	2	,	,	PUNCT
ajst-32566	198	3	j.-s	j.-s	PROPN
ajst-32566	198	4	.	.	PUNCT
ajst-32566	199	1	huang	huang	PROPN
ajst-32566	199	2	,	,	PUNCT
ajst-32566	199	3	x.-d	x.-d	PROPN
ajst-32566	199	4	.	.	PUNCT
ajst-32566	200	1	zhou	zhou	PROPN
ajst-32566	200	2	,	,	PUNCT
ajst-32566	200	3	and	and	CCONJ
ajst-32566	200	4	x.	x.	NOUN
ajst-32566	200	5	zhou	zhou	PROPN
ajst-32566	200	6	,	,	PUNCT
ajst-32566	200	7	data	data	NOUN
ajst-32566	200	8	aug	aug	NOUN
ajst-32566	200	9	-	-	NOUN
ajst-32566	200	10	mentation	mentation	NOUN
ajst-32566	200	11	for	for	ADP
ajst-32566	200	12	face	face	NOUN
ajst-32566	200	13	recognition	recognition	NOUN
ajst-32566	200	14	,	,	PUNCT
ajst-32566	200	15	neurocomputing	neurocomputing	NOUN
ajst-32566	200	16	,	,	PUNCT
ajst-32566	200	17	vol	vol	NOUN
ajst-32566	200	18	.	.	PROPN
ajst-32566	200	19	230	230	NUM
ajst-32566	200	20	,	,	PUNCT
ajst-32566	200	21	pp	pp	ADJ
ajst-32566	200	22	.	.	PUNCT
ajst-32566	201	1	184–196	184–196	NUM
ajst-32566	201	2	,	,	PUNCT
ajst-32566	201	3	mar	mar	PROPN
ajst-32566	201	4	.	.	PROPN
ajst-32566	201	5	2017	2017	NUM
ajst-32566	201	6	,	,	PUNCT
ajst-32566	201	7	doi	doi	NOUN
ajst-32566	201	8	:	:	PUNCT
ajst-32566	201	9	10.1016	10.1016	NUM
ajst-32566	201	10	/	/	SYM
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ajst-32566	201	12	.	.	PUNCT
ajst-32566	202	1	[	[	X
ajst-32566	202	2	11	11	NUM
ajst-32566	202	3	]	]	PUNCT
ajst-32566	202	4	qiao	qiao	PROPN
ajst-32566	202	5	guifang	guifang	PROPN
ajst-32566	202	6	,	,	PUNCT
ajst-32566	202	7	hou	hou	PROPN
ajst-32566	202	8	shouming	shouming	NOUN
ajst-32566	202	9	,	,	PUNCT
ajst-32566	202	10	liu	liu	PROPN
ajst-32566	202	11	yanyan	yanyan	PROPN
ajst-32566	202	12	,	,	PUNCT
ajst-32566	202	13	facial	facial	ADJ
ajst-32566	202	14	expression	expression	NOUN
ajst-32566	202	15	recognition	recognition	NOUN
ajst-32566	202	16	algorithm	algorithm	NOUN
ajst-32566	202	17	based	base	VERB
ajst-32566	202	18	on	on	ADP
ajst-32566	202	19	combination	combination	NOUN
ajst-32566	202	20	of	of	ADP
ajst-32566	202	21	improved	improve	VERB
ajst-32566	202	22	convolutional	convolutional	ADJ
ajst-32566	202	23	neural	neural	ADJ
ajst-32566	202	24	network	network	NOUN
ajst-32566	202	25	and	and	CCONJ
ajst-32566	202	26	support	support	NOUN
ajst-32566	202	27	vector	vector	NOUN
ajst-32566	202	28	machine	machine	NOUN
ajst-32566	202	29	,	,	PUNCT
ajst-32566	202	30	journal	journal	NOUN
ajst-32566	202	31	of	of	ADP
ajst-32566	202	32	computer	computer	NOUN
ajst-32566	202	33	applications	application	NOUN
ajst-32566	202	34	,	,	PUNCT
ajst-32566	202	35	10.11772	10.11772	NUM
ajst-32566	202	36	/	/	SYM
ajst-32566	202	37	j.issn.1001	j.issn.1001	NOUN
ajst-32566	202	38	-	-	PUNCT
ajst-32566	202	39	9081.2021071270	9081.2021071270	NOUN
ajst-32566	202	40	.	.	PUNCT
ajst-32566	203	1	[	[	X
ajst-32566	203	2	12	12	NUM
ajst-32566	203	3	]	]	PUNCT
ajst-32566	203	4	k.	k.	PROPN
ajst-32566	203	5	chengeta	chengeta	PROPN
ajst-32566	203	6	and	and	CCONJ
ajst-32566	203	7	s.	s.	PROPN
ajst-32566	203	8	viriri	viriri	PROPN
ajst-32566	203	9	,	,	PUNCT
ajst-32566	203	10	a	a	DET
ajst-32566	203	11	survey	survey	NOUN
ajst-32566	203	12	on	on	ADP
ajst-32566	203	13	facial	facial	ADJ
ajst-32566	203	14	recognition	recognition	NOUN
ajst-32566	203	15	based	base	VERB
ajst-32566	203	16	on	on	ADP
ajst-32566	203	17	local	local	ADJ
ajst-32566	203	18	directional	directional	ADJ
ajst-32566	203	19	and	and	CCONJ
ajst-32566	203	20	local	local	ADJ
ajst-32566	203	21	binary	binary	ADJ
ajst-32566	203	22	patterns	pattern	NOUN
ajst-32566	203	23	,	,	PUNCT
ajst-32566	203	24	proc	proc	NOUN
ajst-32566	203	25	.	.	PUNCT
ajst-32566	204	1	conf	conf	PROPN
ajst-32566	204	2	.	.	PUNCT
ajst-32566	204	3	inf	inf	PROPN
ajst-32566	204	4	.	.	PUNCT
ajst-32566	205	1	commun	commun	PROPN
ajst-32566	205	2	.	.	PUNCT
ajst-32566	206	1	technol	technol	PROPN
ajst-32566	206	2	.	.	PUNCT
ajst-32566	206	3	soc	soc	PROPN
ajst-32566	206	4	.	.	PUNCT
ajst-32566	207	1	(	(	PUNCT
ajst-32566	207	2	ictas	ictas	PROPN
ajst-32566	207	3	)	)	PUNCT
ajst-32566	207	4	,	,	PUNCT
ajst-32566	207	5	mar	mar	PROPN
ajst-32566	207	6	.	.	PROPN
ajst-32566	207	7	2018	2018	NUM
ajst-32566	207	8	,	,	PUNCT
ajst-32566	207	9	pp	pp	ADJ
ajst-32566	207	10	.	.	PUNCT
ajst-32566	208	1	1–6	1–6	NUM
ajst-32566	208	2	,	,	PUNCT
ajst-32566	208	3	10.1109	10.1109	NUM
ajst-32566	208	4	/	/	SYM
ajst-32566	208	5	ictas	icta	NOUN
ajst-32566	208	6	.	.	PUNCT
ajst-32566	209	1	2018	2018	NUM
ajst-32566	209	2	.	.	PUNCT
ajst-32566	210	1	8368757	8368757	NUM
ajst-32566	210	2	.	.	PUNCT
ajst-32566	211	1	[	[	X
ajst-32566	211	2	13	13	NUM
ajst-32566	211	3	]	]	X
ajst-32566	211	4	anvita	anvita	PROPN
ajst-32566	211	5	saxena	saxena	PROPN
ajst-32566	211	6	,	,	PUNCT
ajst-32566	211	7	ashish	ashish	PROPN
ajst-32566	211	8	khanna	khanna	PROPN
ajst-32566	211	9	,	,	PUNCT
ajst-32566	211	10	and	and	CCONJ
ajst-32566	211	11	deepak	deepak	PROPN
ajst-32566	211	12	gupta	gupta	PROPN
ajst-32566	211	13	(	(	PUNCT
ajst-32566	211	14	2020	2020	NUM
ajst-32566	211	15	)	)	PUNCT
ajst-32566	211	16	,	,	PUNCT
ajst-32566	211	17	emotion	emotion	NOUN
ajst-32566	211	18	recognition	recognition	NOUN
ajst-32566	211	19	and	and	CCONJ
ajst-32566	211	20	detection	detection	NOUN
ajst-32566	211	21	methods	method	NOUN
ajst-32566	211	22	:	:	PUNCT
ajst-32566	211	23	a	a	DET
ajst-32566	211	24	comprehensive	comprehensive	ADJ
ajst-32566	211	25	survey	survey	NOUN
ajst-32566	211	26	.	.	PUNCT
ajst-32566	212	1	[	[	X
ajst-32566	212	2	14	14	NUM
ajst-32566	212	3	]	]	X
ajst-32566	212	4	q.	q.	PROPN
ajst-32566	212	5	mao	mao	PROPN
ajst-32566	212	6	,	,	PUNCT
ajst-32566	212	7	m.	m.	NOUN
ajst-32566	212	8	dong	dong	PROPN
ajst-32566	212	9	,	,	PUNCT
ajst-32566	212	10	z.	z.	PROPN
ajst-32566	212	11	huang	huang	PROPN
ajst-32566	212	12	and	and	CCONJ
ajst-32566	212	13	y.	y.	PROPN
ajst-32566	212	14	zhan	zhan	PROPN
ajst-32566	212	15	,	,	PUNCT
ajst-32566	212	16	learning	learn	VERB
ajst-32566	212	17	salient	salient	NOUN
ajst-32566	212	18	features	feature	NOUN
ajst-32566	212	19	for	for	ADP
ajst-32566	212	20	speech	speech	NOUN
ajst-32566	212	21	emotion	emotion	NOUN
ajst-32566	212	22	recognition	recognition	NOUN
ajst-32566	212	23	using	use	VERB
ajst-32566	212	24	con	con	PROPN
ajst-32566	212	25	utional	utional	ADJ
ajst-32566	212	26	neural	neural	ADJ
ajst-32566	212	27	networks	network	NOUN
ajst-32566	212	28	,	,	PUNCT
ajst-32566	212	29	in	in	ADP
ajst-32566	212	30	ieee	ieee	NOUN
ajst-32566	212	31	transactions	transaction	NOUN
ajst-32566	212	32	on	on	ADP
ajst-32566	212	33	multimedia	multimedia	NOUN
ajst-32566	212	34	.	.	PUNCT
ajst-32566	213	1	16(2014	16(2014	NUM
ajst-32566	213	2	)	)	PUNCT
ajst-32566	213	3	.	.	PUNCT
ajst-32566	214	1	2203	2203	NUM
ajst-32566	214	2	-	-	SYM
ajst-32566	214	3	2213	2213	NUM
ajst-32566	214	4	.	.	PUNCT
ajst-32566	215	1	10.1109	10.1109	NUM
ajst-32566	215	2	/	/	SYM
ajst-32566	215	3	tmm.2014.2360798	tmm.2014.2360798	NUM
ajst-32566	215	4	.	.	PUNCT
ajst-32566	216	1	[	[	X
ajst-32566	216	2	15	15	NUM
ajst-32566	216	3	]	]	X
ajst-32566	216	4	huang	huang	PROPN
ajst-32566	216	5	,	,	PUNCT
ajst-32566	216	6	zhengwei	zhengwei	NOUN
ajst-32566	216	7	dong	dong	PROPN
ajst-32566	216	8	,	,	PUNCT
ajst-32566	216	9	ming	ming	PROPN
ajst-32566	216	10	mao	mao	PROPN
ajst-32566	216	11	,	,	PUNCT
ajst-32566	216	12	qirong	qirong	PROPN
ajst-32566	216	13	zhan	zhan	PROPN
ajst-32566	216	14	,	,	PUNCT
ajst-32566	216	15	yongzhao	yongzhao	ADJ
ajst-32566	216	16	,	,	PUNCT
ajst-32566	216	17	speech	speech	NOUN
ajst-32566	216	18	emotion	emotion	NOUN
ajst-32566	216	19	recognition	recognition	NOUN
ajst-32566	216	20	using	use	VERB
ajst-32566	216	21	cnn	cnn	PROPN
ajst-32566	216	22	.	.	PUNCT
ajst-32566	217	1	mm	mm	PROPN
ajst-32566	217	2	2014	2014	NUM
ajst-32566	217	3	proceedings	proceeding	NOUN
ajst-32566	217	4	of	of	ADP
ajst-32566	217	5	the	the	DET
ajst-32566	217	6	2014	2014	NUM
ajst-32566	217	7	acm	acm	NOUN
ajst-32566	217	8	conference	conference	NOUN
ajst-32566	217	9	on	on	ADP
ajst-32566	217	10	multimedia	multimedia	NOUN
ajst-32566	217	11	(	(	PUNCT
ajst-32566	217	12	2014	2014	NUM
ajst-32566	217	13	)	)	PUNCT
ajst-32566	217	14	.	.	PUNCT
ajst-32566	218	1	801	801	NUM
ajst-32566	218	2	-	-	SYM
ajst-32566	218	3	804	804	NUM
ajst-32566	218	4	.	.	PUNCT
ajst-32566	219	1	10.1145/	10.1145/	NUM
ajst-32566	219	2	2647868	2647868	NUM
ajst-32566	219	3	.	.	PUNCT
ajst-32566	220	1	2654984	2654984	NUM
ajst-32566	220	2	.	.	PUNCT
ajst-32566	221	1	[	[	X
ajst-32566	221	2	16	16	NUM
ajst-32566	221	3	]	]	X
ajst-32566	221	4	e.	e.	PROPN
ajst-32566	221	5	chaudary	chaudary	PROPN
ajst-32566	221	6	,	,	PUNCT
ajst-32566	221	7	s.	s.	PROPN
ajst-32566	221	8	a.	a.	PROPN
ajst-32566	221	9	khan	khan	PROPN
ajst-32566	221	10	andw	andw	PROPN
ajst-32566	221	11	.	.	PUNCT
ajst-32566	222	1	mumtaz	mumtaz	PROPN
ajst-32566	222	2	,	,	PUNCT
ajst-32566	222	3	eeg	eeg	PROPN
ajst-32566	222	4	-	-	PUNCT
ajst-32566	222	5	cnn	cnn	NOUN
ajst-32566	222	6	-	-	PUNCT
ajst-32566	222	7	souping	souping	NOUN
ajst-32566	222	8	:	:	PUNCT
ajst-32566	222	9	interpretable	interpretable	ADJ
ajst-32566	222	10	emotion	emotion	NOUN
ajst-32566	222	11	recognition	recognition	NOUN
ajst-32566	222	12	from	from	ADP
ajst-32566	222	13	eeg	eeg	NOUN
ajst-32566	222	14	signals	signal	NOUN
ajst-32566	222	15	using	use	VERB
ajst-32566	222	16	eeg	eeg	PROPN
ajst-32566	222	17	-	-	PUNCT
ajst-32566	222	18	cnn	cnn	NOUN
ajst-32566	222	19	-	-	PUNCT
ajst-32566	222	20	souping	soup	VERB
ajst-32566	222	21	model	model	NOUN
ajst-32566	222	22	and	and	CCONJ
ajst-32566	222	23	explainable	explainable	ADJ
ajst-32566	222	24	ai	ai	NOUN
ajst-32566	222	25	,	,	PUNCT
ajst-32566	222	26	comput	comput	NOUN
ajst-32566	222	27	.	.	PUNCT
ajst-32566	223	1	electr	electr	PROPN
ajst-32566	223	2	.	.	PUNCT
ajst-32566	224	1	eng	eng	PROPN
ajst-32566	224	2	.	.	PROPN
ajst-32566	224	3	,	,	PUNCT
ajst-32566	224	4	volume	volume	NOUN
ajst-32566	224	5	123	123	NUM
ajst-32566	224	6	,	,	PUNCT
ajst-32566	224	7	page	page	NOUN
ajst-32566	224	8	110189	110189	NUM
ajst-32566	224	9	,	,	PUNCT
ajst-32566	224	10	april	april	PROPN
ajst-32566	224	11	2025	2025	NUM
ajst-32566	224	12	,	,	PUNCT
ajst-32566	224	13	doi	doi	NOUN
ajst-32566	224	14	:	:	PUNCT
ajst-32566	224	15	10.1016	10.1016	NUM
ajst-32566	224	16	/	/	SYM
ajst-32566	224	17	j.compeleceng.2025.110189	j.compeleceng.2025.110189	NOUN
ajst-32566	224	18	.	.	PUNCT
ajst-32566	225	1	[	[	X
ajst-32566	225	2	17	17	NUM
ajst-32566	225	3	]	]	X
ajst-32566	225	4	r.	r.	PROPN
ajst-32566	225	5	m.	m.	PROPN
ajst-32566	225	6	mehmood	mehmood	PROPN
ajst-32566	225	7	and	and	CCONJ
ajst-32566	225	8	h.	h.	PROPN
ajst-32566	225	9	j.	j.	PROPN
ajst-32566	225	10	lee	lee	PROPN
ajst-32566	225	11	,	,	PUNCT
ajst-32566	225	12	eeg	eeg	PROPN
ajst-32566	225	13	based	base	VERB
ajst-32566	225	14	emotion	emotion	NOUN
ajst-32566	225	15	recognition	recognition	NOUN
ajst-32566	225	16	from	from	ADP
ajst-32566	225	17	human	human	ADJ
ajst-32566	225	18	brain	brain	NOUN
ajst-32566	225	19	using	use	VERB
ajst-32566	225	20	hjorth	hjorth	NOUN
ajst-32566	225	21	parameters	parameter	NOUN
ajst-32566	225	22	and	and	CCONJ
ajst-32566	225	23	svm	svm	ADJ
ajst-32566	225	24	,	,	PUNCT
ajst-32566	225	25	int	int	NOUN
ajst-32566	225	26	.	.	PUNCT
ajst-32566	226	1	j.	j.	PROPN
ajst-32566	226	2	bio	bio	PROPN
ajst-32566	226	3	-	-	PROPN
ajst-32566	226	4	sci	sci	PROPN
ajst-32566	226	5	.	.	PUNCT
ajst-32566	226	6	bio	bio	PROPN
ajst-32566	226	7	-	-	NOUN
ajst-32566	226	8	technol	technol	NOUN
ajst-32566	226	9	.	.	PROPN
ajst-32566	226	10	,	,	PUNCT
ajst-32566	226	11	volume	volume	NOUN
ajst-32566	226	12	7	7	NUM
ajst-32566	226	13	,	,	PUNCT
ajst-32566	226	14	issue	issue	NOUN
ajst-32566	226	15	3	3	NUM
ajst-32566	226	16	,	,	PUNCT
ajst-32566	226	17	page	page	NOUN
ajst-32566	226	18	23	23	NUM
ajst-32566	226	19	-	-	SYM
ajst-32566	226	20	32	32	NUM
ajst-32566	226	21	,	,	PUNCT
ajst-32566	226	22	june	june	PROPN
ajst-32566	226	23	2015	2015	NUM
ajst-32566	226	24	,	,	PUNCT
ajst-32566	226	25	doi	doi	NOUN
ajst-32566	226	26	:	:	PUNCT
ajst-32566	226	27	10.14257	10.14257	NUM
ajst-32566	226	28	/	/	SYM
ajst-32566	226	29	ijbsbt.2015.7.3.03	ijbsbt.2015.7.3.03	ADJ
ajst-32566	226	30	.	.	PUNCT
ajst-32566	227	1	[	[	X
ajst-32566	227	2	18	18	NUM
ajst-32566	227	3	]	]	X
ajst-32566	227	4	downey	downey	PROPN
ajst-32566	227	5	,	,	PUNCT
ajst-32566	227	6	s.	s.	PROPN
ajst-32566	227	7	,	,	PUNCT
ajst-32566	227	8	russell	russell	PROPN
ajst-32566	227	9	,	,	PUNCT
ajst-32566	227	10	m.j	m.j	PROPN
ajst-32566	227	11	.	.	PROPN
ajst-32566	227	12	,	,	PUNCT
ajst-32566	227	13	a	a	DET
ajst-32566	227	14	decision	decision	NOUN
ajst-32566	227	15	tree	tree	NOUN
ajst-32566	227	16	approach	approach	NOUN
ajst-32566	227	17	to	to	ADP
ajst-32566	227	18	task	task	PROPN
ajst-32566	227	19	independent	independent	ADJ
ajst-32566	227	20	speech	speech	NOUN
ajst-32566	227	21	recognition	recognition	NOUN
ajst-32566	227	22	,	,	PUNCT
ajst-32566	227	23	proceedings	proceeding	NOUN
ajst-32566	227	24	of	of	ADP
ajst-32566	227	25	the	the	DET
ajst-32566	227	26	inst	inst	NOUN
ajst-32566	227	27	acoustics	acoustic	NOUN
ajst-32566	227	28	autumn	autumn	NOUN
ajst-32566	227	29	conf	conf	NOUN
ajst-32566	227	30	on	on	ADP
ajst-32566	227	31	speech	speech	NOUN
ajst-32566	227	32	and	and	CCONJ
ajst-32566	227	33	hearing	hearing	NOUN
ajst-32566	227	34	(	(	PUNCT
ajst-32566	227	35	1992	1992	NUM
ajst-32566	227	36	)	)	PUNCT
ajst-32566	227	37	.	.	PUNCT
ajst-32566	228	1	[	[	X
ajst-32566	228	2	19	19	NUM
ajst-32566	228	3	]	]	X
ajst-32566	228	4	chen	chen	PROPN
ajst-32566	228	5	,	,	PUNCT
ajst-32566	228	6	g.	g.	PROPN
ajst-32566	228	7	,	,	PUNCT
ajst-32566	228	8	hou	hou	PROPN
ajst-32566	228	9	,	,	PUNCT
ajst-32566	228	10	r.	r.	PROPN
ajst-32566	228	11	,	,	PUNCT
ajst-32566	228	12	a	a	DET
ajst-32566	228	13	new	new	ADJ
ajst-32566	228	14	machine	machine	NOUN
ajst-32566	228	15	double	double	ADJ
ajst-32566	228	16	-	-	PUNCT
ajst-32566	228	17	layer	layer	NOUN
ajst-32566	228	18	learning	learning	NOUN
ajst-32566	228	19	method	method	NOUN
ajst-32566	228	20	and	and	CCONJ
ajst-32566	228	21	its	its	PRON
ajst-32566	228	22	application	application	NOUN
ajst-32566	228	23	in	in	ADP
ajst-32566	228	24	non	non	ADJ
ajst-32566	228	25	-	-	ADJ
ajst-32566	228	26	linear	linear	ADJ
ajst-32566	228	27	time	time	NOUN
ajst-32566	228	28	series	series	PROPN
ajst-32566	228	29	forecasting	forecasting	NOUN
ajst-32566	228	30	,	,	PUNCT
ajst-32566	228	31	proceedings	proceeding	NOUN
ajst-32566	228	32	of	of	ADP
ajst-32566	228	33	the	the	DET
ajst-32566	228	34	2010	2010	NUM
ajst-32566	228	35	international	international	ADJ
ajst-32566	228	36	conference	conference	NOUN
ajst-32566	228	37	on	on	ADP
ajst-32566	228	38	mechatronics	mechatronic	NOUN
ajst-32566	228	39	and	and	CCONJ
ajst-32566	228	40	automation	automation	NOUN
ajst-32566	228	41	(	(	PUNCT
ajst-32566	228	42	icma	icma	PROPN
ajst-32566	228	43	)	)	PUNCT
ajst-32566	228	44	(	(	PUNCT
ajst-32566	228	45	2007	2007	NUM
ajst-32566	228	46	)	)	PUNCT
ajst-32566	228	47	.	.	PUNCT
ajst-32566	229	1	[	[	X
ajst-32566	229	2	20	20	NUM
ajst-32566	229	3	]	]	X
ajst-32566	229	4	rani	rani	NOUN
ajst-32566	229	5	,	,	PUNCT
ajst-32566	229	6	p.	p.	PROPN
ajst-32566	229	7	,	,	PUNCT
ajst-32566	229	8	sarkar	sarkar	PROPN
ajst-32566	229	9	,	,	PUNCT
ajst-32566	229	10	n.	n.	PROPN
ajst-32566	229	11	,	,	PUNCT
ajst-32566	229	12	smith	smith	PROPN
ajst-32566	229	13	,	,	PUNCT
ajst-32566	229	14	c.a	c.a	PROPN
ajst-32566	229	15	.	.	PROPN
ajst-32566	229	16	,	,	PUNCT
ajst-32566	229	17	kirby	kirby	PROPN
ajst-32566	229	18	,	,	PUNCT
ajst-32566	229	19	l.d	l.d	PROPN
ajst-32566	229	20	.	.	PROPN
ajst-32566	229	21	,	,	PUNCT
ajst-32566	229	22	anxiety	anxiety	NOUN
ajst-32566	229	23	detecting	detect	VERB
ajst-32566	229	24	robotic	robotic	ADJ
ajst-32566	229	25	system	system	NOUN
ajst-32566	229	26	towards	towards	ADP
ajst-32566	229	27	implicit	implicit	ADJ
ajst-32566	229	28	humanrobot	humanrobot	NOUN
ajst-32566	229	29	collaboration	collaboration	NOUN
ajst-32566	229	30	,	,	PUNCT
ajst-32566	229	31	robotica	robotica	PROPN
ajst-32566	229	32	22	22	NUM
ajst-32566	229	33	,	,	PUNCT
ajst-32566	229	34	85–95	85–95	NUM
ajst-32566	229	35	(	(	PUNCT
ajst-32566	229	36	2004	2004	NUM
ajst-32566	229	37	)	)	PUNCT
ajst-32566	229	38	.	.	PUNCT
ajst-32566	230	1	[	[	X
ajst-32566	230	2	21	21	NUM
ajst-32566	230	3	]	]	X
ajst-32566	230	4	tianqi	tianqi	PROPN
ajst-32566	230	5	fan	fan	PROPN
ajst-32566	230	6	,	,	PUNCT
ajst-32566	230	7	sen	sen	PROPN
ajst-32566	230	8	qiu	qiu	PROPN
ajst-32566	230	9	,	,	PUNCT
ajst-32566	230	10	zhelong	zhelong	PROPN
ajst-32566	230	11	wang	wang	PROPN
ajst-32566	230	12	,	,	PUNCT
ajst-32566	230	13	hongyu	hongyu	PROPN
ajst-32566	230	14	zhao	zhao	PROPN
ajst-32566	230	15	,	,	PUNCT
ajst-32566	230	16	junhan	junhan	PROPN
ajst-32566	230	17	jiang	jiang	PROPN
ajst-32566	230	18	,	,	PUNCT
ajst-32566	230	19	yongzhen	yongzhen	PROPN
ajst-32566	230	20	wang	wang	PROPN
ajst-32566	230	21	,	,	PUNCT
ajst-32566	230	22	junnan	junnan	PROPN
ajst-32566	230	23	xu	xu	PROPN
ajst-32566	230	24	,	,	PUNCT
ajst-32566	230	25	tao	tao	PROPN
ajst-32566	230	26	sun	sun	PROPN
ajst-32566	230	27	,	,	PUNCT
ajst-32566	230	28	nan	nan	PROPN
ajst-32566	230	29	jiang	jiang	PROPN
ajst-32566	230	30	,	,	PUNCT
ajst-32566	230	31	a	a	DET
ajst-32566	230	32	new	new	ADJ
ajst-32566	230	33	deep	deep	ADJ
ajst-32566	230	34	convolutional	convolutional	ADJ
ajst-32566	230	35	neural	neural	ADJ
ajst-32566	230	36	network	network	NOUN
ajst-32566	230	37	incorporating	incorporate	VERB
ajst-32566	230	38	attentional	attentional	ADJ
ajst-32566	230	39	mechanisms	mechanism	NOUN
ajst-32566	230	40	for	for	ADP
ajst-32566	230	41	ecg	ecg	PROPN
ajst-32566	230	42	emotion	emotion	NOUN
ajst-32566	230	43	recognition	recognition	NOUN
ajst-32566	230	44	,	,	PUNCT
ajst-32566	230	45	01	01	NUM
ajst-32566	230	46	june	june	PROPN
ajst-32566	230	47	2023	2023	NUM
ajst-32566	230	48	publication	publication	NOUN
ajst-32566	230	49	history	history	NOUN
ajst-32566	230	50	,	,	PUNCT
ajst-32566	230	51	https://doi.org/10.1016/j	https://doi.org/10.1016/j	NOUN
ajst-32566	230	52	.	.	PUNCT
ajst-32566	231	1	compbiomed.2	compbiomed.2	NOUN
ajst-32566	231	2	023	023	NUM
ajst-32566	231	3	.	.	PUNCT
ajst-32566	231	4	106938	106938	NUM
ajst-32566	231	5	.	.	PUNCT
ajst-32566	232	1	[	[	X
ajst-32566	232	2	22	22	NUM
ajst-32566	232	3	]	]	X
ajst-32566	232	4	kevin	kevin	PROPN
ajst-32566	232	5	g	g	PROPN
ajst-32566	232	6	montero	montero	PROPN
ajst-32566	232	7	quispe	quispe	PROPN
ajst-32566	232	8	,	,	PUNCT
ajst-32566	232	9	daniel	daniel	PROPN
ajst-32566	232	10	m	m	PROPN
ajst-32566	232	11	s	s	PART
ajst-32566	232	12	utyiama	utyiama	ADJ
ajst-32566	232	13	,	,	PUNCT
ajst-32566	232	14	eulanda	eulanda	PROPN
ajst-32566	232	15	m	m	PROPN
ajst-32566	232	16	dos	do	VERB
ajst-32566	232	17	santos	santo	NOUN
ajst-32566	232	18	,	,	PUNCT
ajst-32566	232	19	horácio	horácio	VERB
ajst-32566	232	20	a	a	DET
ajst-32566	232	21	b	b	X
ajst-32566	232	22	f	f	PROPN
ajst-32566	232	23	oliveira	oliveira	PROPN
ajst-32566	232	24	,	,	PUNCT
ajst-32566	232	25	eduardo	eduardo	PROPN
ajst-32566	232	26	j	j	PROPN
ajst-32566	233	1	p	p	X
ajst-32566	233	2	souto	souto	PROPN
ajst-32566	233	3	,	,	PUNCT
ajst-32566	233	4	applying	apply	VERB
ajst-32566	233	5	self	self	NOUN
ajst-32566	233	6	-	-	PUNCT
ajst-32566	233	7	supervised	supervise	VERB
ajst-32566	233	8	representation	representation	NOUN
ajst-32566	233	9	learning	learn	VERB
ajst-32566	233	10	for	for	ADP
ajst-32566	233	11	emotion	emotion	NOUN
ajst-32566	233	12	recognition	recognition	NOUN
ajst-32566	233	13	using	use	VERB
ajst-32566	233	14	physiological	physiological	ADJ
ajst-32566	233	15	signals	signal	NOUN
ajst-32566	233	16	,	,	PUNCT
ajst-32566	233	17	sensors	sensor	NOUN
ajst-32566	233	18	(	(	PUNCT
ajst-32566	233	19	basel	basel	PROPN
ajst-32566	233	20	)	)	PUNCT
ajst-32566	233	21	.	.	PUNCT
ajst-32566	234	1	2022	2022	NUM
ajst-32566	234	2	nov	nov	NOUN
ajst-32566	234	3	23;22(23):9102	23;22(23):9102	NUM
ajst-32566	234	4	.	.	PUNCT
ajst-32566	235	1	doi	doi	NOUN
ajst-32566	235	2	:	:	PUNCT
ajst-32566	235	3	10.3390	10.3390	NUM
ajst-32566	235	4	/	/	SYM
ajst-32566	235	5	s22239102	s22239102	NOUN
ajst-32566	235	6	.	.	PUNCT
ajst-32566	236	1	[	[	X
ajst-32566	236	2	23	23	NUM
ajst-32566	236	3	]	]	X
ajst-32566	236	4	purnata	purnata	PROPN
ajst-32566	236	5	saha	saha	PROPN
ajst-32566	236	6	,	,	PUNCT
ajst-32566	236	7	ali	ali	PROPN
ajst-32566	236	8	k.	k.	PROPN
ajst-32566	236	9	ansaruddin	ansaruddin	PROPN
ajst-32566	236	10	kunju	kunju	PROPN
ajst-32566	236	11	,	,	PUNCT
ajst-32566	236	12	molla	molla	PROPN
ajst-32566	236	13	e.	e.	PROPN
ajst-32566	236	14	majid	majid	PROPN
ajst-32566	236	15	,	,	PUNCT
ajst-32566	236	16	saad	saad	PROPN
ajst-32566	236	17	bin	bin	PROPN
ajst-32566	236	18	abul	abul	PROPN
ajst-32566	236	19	kashem	kashem	PROPN
ajst-32566	236	20	,	,	PUNCT
ajst-32566	236	21	mohammad	mohammad	PROPN
ajst-32566	236	22	nashbat	nashbat	PROPN
ajst-32566	236	23	,	,	PUNCT
ajst-32566	236	24	azad	azad	PROPN
ajst-32566	236	25	ashraf	ashraf	PROPN
ajst-32566	236	26	,	,	PUNCT
ajst-32566	236	27	mazhar	mazhar	PROPN
ajst-32566	236	28	hasan	hasan	PROPN
ajst-32566	236	29	,	,	PUNCT
ajst-32566	236	30	amith	amith	ADP
ajst-32566	236	31	khandakar	khandakar	NOUN
ajst-32566	236	32	,	,	PUNCT
ajst-32566	236	33	md	md	PROPN
ajst-32566	236	34	shafayet	shafayet	PROPN
ajst-32566	236	35	hossain	hossain	PROPN
ajst-32566	236	36	,	,	PUNCT
ajst-32566	236	37	abdulrahman	abdulrahman	PROPN
ajst-32566	236	38	alqahtani	alqahtani	PROPN
ajst-32566	236	39	,	,	PUNCT
ajst-32566	236	40	muhammad	muhammad	PROPN
ajst-32566	236	41	e.h	e.h	PROPN
ajst-32566	236	42	.	.	PROPN
ajst-32566	236	43	chowdhury	chowdhury	PROPN
ajst-32566	236	44	,	,	PUNCT
ajst-32566	236	45	novel	novel	ADJ
ajst-32566	236	46	multimodal	multimodal	NOUN
ajst-32566	236	47	emotion	emotion	NOUN
ajst-32566	236	48	detection	detection	NOUN
ajst-32566	236	49	method	method	NOUN
ajst-32566	236	50	using	use	VERB
ajst-32566	236	51	electroencephalogram	electroencephalogram	NOUN
ajst-32566	236	52	and	and	CCONJ
ajst-32566	236	53	electrocardiogram	electrocardiogram	NOUN
ajst-32566	236	54	signals	signal	NOUN
ajst-32566	236	55	,	,	PUNCT
ajst-32566	236	56	https://doi.org/10.1016/j.bspc.2024.106002	https://doi.org/10.1016/j.bspc.2024.106002	PROPN
ajst-32566	236	57	.	.	PUNCT
ajst-32566	237	1	[	[	X
ajst-32566	237	2	24	24	NUM
ajst-32566	237	3	]	]	X
ajst-32566	237	4	s.	s.	PROPN
ajst-32566	237	5	kusal	kusal	PROPN
ajst-32566	237	6	,	,	PUNCT
ajst-32566	237	7	s.	s.	PROPN
ajst-32566	237	8	patil	patil	PROPN
ajst-32566	237	9	,	,	PUNCT
ajst-32566	237	10	k.	k.	PROPN
ajst-32566	237	11	kotecha	kotecha	PROPN
ajst-32566	237	12	,	,	PUNCT
ajst-32566	237	13	r.	r.	PROPN
ajst-32566	237	14	aluvalu	aluvalu	PROPN
ajst-32566	237	15	and	and	CCONJ
ajst-32566	237	16	v.	v.	ADP
ajst-32566	237	17	varadarajan	varadarajan	ADJ
ajst-32566	237	18	,	,	PUNCT
ajst-32566	237	19	ai	ai	AUX
ajst-32566	237	20	based	base	VERB
ajst-32566	237	21	emotion	emotion	NOUN
ajst-32566	237	22	detection	detection	NOUN
ajst-32566	237	23	for	for	ADP
ajst-32566	237	24	textual	textual	ADJ
ajst-32566	237	25	big	big	ADJ
ajst-32566	237	26	data	datum	NOUN
ajst-32566	237	27	:	:	PUNCT
ajst-32566	237	28	techniques	technique	NOUN
ajst-32566	237	29	and	and	CCONJ
ajst-32566	237	30	contribution	contribution	NOUN
ajst-32566	237	31	,	,	PUNCT
ajst-32566	237	32	big	big	ADJ
ajst-32566	237	33	data	datum	NOUN
ajst-32566	237	34	cogn	cogn	VERB
ajst-32566	237	35	.	.	PUNCT
ajst-32566	238	1	comput	comput	PROPN
ajst-32566	238	2	.	.	PUNCT
ajst-32566	238	3	,	,	PUNCT
ajst-32566	238	4	volume	volume	NOUN
ajst-32566	238	5	5	5	NUM
ajst-32566	238	6	,	,	PUNCT
ajst-32566	238	7	issue	issue	NOUN
ajst-32566	238	8	3	3	NUM
ajst-32566	238	9	,	,	PUNCT
ajst-32566	238	10	page	page	NOUN
ajst-32566	238	11	43	43	NUM
ajst-32566	238	12	,	,	PUNCT
ajst-32566	238	13	september	september	PROPN
ajst-32566	238	14	2021	2021	NUM
ajst-32566	238	15	,	,	PUNCT
ajst-32566	238	16	doi	doi	NOUN
ajst-32566	238	17	:	:	PUNCT
ajst-32566	238	18	10.3390	10.3390	NUM
ajst-32566	238	19	/	/	SYM
ajst-32566	238	20	bdcc5030043	bdcc5030043	PROPN
ajst-32566	238	21	.	.	PUNCT