{"id":"https://openalex.org/W4388207183","doi":"https://doi.org/10.1109/ccece58730.2023.10288676","title":"Evaluating the Benefits of Asymmetry Features for Emotion Recognition","display_name":"Evaluating the Benefits of Asymmetry Features for Emotion Recognition","publication_year":2023,"publication_date":"2023-09-24","ids":{"openalex":"https://openalex.org/W4388207183","doi":"https://doi.org/10.1109/ccece58730.2023.10288676"},"language":"en","primary_location":{"id":"doi:10.1109/ccece58730.2023.10288676","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ccece58730.2023.10288676","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 IEEE Canadian Conference on Electrical and Computer Engineering (CCECE)","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5038317537","display_name":"Camilo E. Valderrama","orcid":"https://orcid.org/0000-0001-5333-8265"},"institutions":[{"id":"https://openalex.org/I872945872","display_name":"University of Winnipeg","ror":"https://ror.org/02gdzyx04","country_code":"CA","type":"education","lineage":["https://openalex.org/I872945872"]}],"countries":["CA"],"is_corresponding":true,"raw_author_name":"Camilo E. Valderrama","raw_affiliation_strings":["University of Winnipeg,Dept. of Applied Computer Science,Winnipeg,MB,Canada","Dept. of Applied Computer Science, University of Winnipeg, Winnipeg, MB, Canada"],"affiliations":[{"raw_affiliation_string":"University of Winnipeg,Dept. of Applied Computer Science,Winnipeg,MB,Canada","institution_ids":["https://openalex.org/I872945872"]},{"raw_affiliation_string":"Dept. of Applied Computer Science, University of Winnipeg, Winnipeg, MB, Canada","institution_ids":["https://openalex.org/I872945872"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5092802274","display_name":"Fatima Islam Mouri","orcid":null},"institutions":[{"id":"https://openalex.org/I872945872","display_name":"University of Winnipeg","ror":"https://ror.org/02gdzyx04","country_code":"CA","type":"education","lineage":["https://openalex.org/I872945872"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Fatima Islam Mouri","raw_affiliation_strings":["University of Winnipeg,Dept. of Applied Computer Science,Winnipeg,MB,Canada","Dept. of Applied Computer Science, University of Winnipeg, Winnipeg, MB, Canada"],"affiliations":[{"raw_affiliation_string":"University of Winnipeg,Dept. of Applied Computer Science,Winnipeg,MB,Canada","institution_ids":["https://openalex.org/I872945872"]},{"raw_affiliation_string":"Dept. of Applied Computer Science, University of Winnipeg, Winnipeg, MB, Canada","institution_ids":["https://openalex.org/I872945872"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5066752505","display_name":"Sergio Camorlinga","orcid":null},"institutions":[{"id":"https://openalex.org/I872945872","display_name":"University of Winnipeg","ror":"https://ror.org/02gdzyx04","country_code":"CA","type":"education","lineage":["https://openalex.org/I872945872"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Sergio G. Camorlinga","raw_affiliation_strings":["University of Winnipeg,Dept. of Applied Computer Science,Winnipeg,MB,Canada","Dept. of Applied Computer Science, University of Winnipeg, Winnipeg, MB, Canada"],"affiliations":[{"raw_affiliation_string":"University of Winnipeg,Dept. of Applied Computer Science,Winnipeg,MB,Canada","institution_ids":["https://openalex.org/I872945872"]},{"raw_affiliation_string":"Dept. of Applied Computer Science, University of Winnipeg, Winnipeg, MB, Canada","institution_ids":["https://openalex.org/I872945872"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5038317537"],"corresponding_institution_ids":["https://openalex.org/I872945872"],"apc_list":null,"apc_paid":null,"fwci":0.5224,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.69041409,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":96},"biblio":{"volume":null,"issue":null,"first_page":"124","last_page":"129"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10667","display_name":"Emotion and Mood Recognition","score":0.9993000030517578,"subfield":{"id":"https://openalex.org/subfields/3205","display_name":"Experimental and Cognitive Psychology"},"field":{"id":"https://openalex.org/fields/32","display_name":"Psychology"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},"topics":[{"id":"https://openalex.org/T10667","display_name":"Emotion and Mood Recognition","score":0.9993000030517578,"subfield":{"id":"https://openalex.org/subfields/3205","display_name":"Experimental and Cognitive Psychology"},"field":{"id":"https://openalex.org/fields/32","display_name":"Psychology"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T10429","display_name":"EEG and Brain-Computer Interfaces","score":0.9966999888420105,"subfield":{"id":"https://openalex.org/subfields/2805","display_name":"Cognitive Neuroscience"},"field":{"id":"https://openalex.org/fields/28","display_name":"Neuroscience"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}},{"id":"https://openalex.org/T11094","display_name":"Face Recognition and Perception","score":0.9922999739646912,"subfield":{"id":"https://openalex.org/subfields/2805","display_name":"Cognitive Neuroscience"},"field":{"id":"https://openalex.org/fields/28","display_name":"Neuroscience"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7554606199264526},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6361926198005676},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.5539226531982422},{"id":"https://openalex.org/keywords/asymmetry","display_name":"Asymmetry","score":0.5195882320404053},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.5109893083572388},{"id":"https://openalex.org/keywords/computational-model","display_name":"Computational model","score":0.4732920527458191},{"id":"https://openalex.org/keywords/emotion-recognition","display_name":"Emotion recognition","score":0.4711151123046875},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.47107234597206116},{"id":"https://openalex.org/keywords/matching","display_name":"Matching (statistics)","score":0.470941424369812},{"id":"https://openalex.org/keywords/electroencephalography","display_name":"Electroencephalography","score":0.4525850713253021},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.44449201226234436},{"id":"https://openalex.org/keywords/feature-matching","display_name":"Feature matching","score":0.44084253907203674},{"id":"https://openalex.org/keywords/computational-complexity-theory","display_name":"Computational complexity theory","score":0.44053342938423157},{"id":"https://openalex.org/keywords/affective-computing","display_name":"Affective computing","score":0.42359843850135803},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.3801504671573639},{"id":"https://openalex.org/keywords/psychology","display_name":"Psychology","score":0.12480995059013367},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.10427245497703552},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.0927683413028717}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7554606199264526},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6361926198005676},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.5539226531982422},{"id":"https://openalex.org/C38976095","wikidata":"https://www.wikidata.org/wiki/Q752641","display_name":"Asymmetry","level":2,"score":0.5195882320404053},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.5109893083572388},{"id":"https://openalex.org/C66024118","wikidata":"https://www.wikidata.org/wiki/Q1122506","display_name":"Computational model","level":2,"score":0.4732920527458191},{"id":"https://openalex.org/C2777438025","wikidata":"https://www.wikidata.org/wiki/Q1339090","display_name":"Emotion recognition","level":2,"score":0.4711151123046875},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.47107234597206116},{"id":"https://openalex.org/C165064840","wikidata":"https://www.wikidata.org/wiki/Q1321061","display_name":"Matching (statistics)","level":2,"score":0.470941424369812},{"id":"https://openalex.org/C522805319","wikidata":"https://www.wikidata.org/wiki/Q179965","display_name":"Electroencephalography","level":2,"score":0.4525850713253021},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.44449201226234436},{"id":"https://openalex.org/C2983787585","wikidata":"https://www.wikidata.org/wiki/Q93586","display_name":"Feature matching","level":3,"score":0.44084253907203674},{"id":"https://openalex.org/C179799912","wikidata":"https://www.wikidata.org/wiki/Q205084","display_name":"Computational complexity theory","level":2,"score":0.44053342938423157},{"id":"https://openalex.org/C6438553","wikidata":"https://www.wikidata.org/wiki/Q1185804","display_name":"Affective computing","level":2,"score":0.42359843850135803},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.3801504671573639},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.12480995059013367},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.10427245497703552},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.0927683413028717},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C118552586","wikidata":"https://www.wikidata.org/wiki/Q7867","display_name":"Psychiatry","level":1,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/ccece58730.2023.10288676","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ccece58730.2023.10288676","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 IEEE Canadian Conference on Electrical and Computer Engineering (CCECE)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":17,"referenced_works":["https://openalex.org/W1947251450","https://openalex.org/W1983403946","https://openalex.org/W2018543616","https://openalex.org/W2061957596","https://openalex.org/W2103851188","https://openalex.org/W2167277498","https://openalex.org/W2326887180","https://openalex.org/W2786768213","https://openalex.org/W2964346239","https://openalex.org/W3022547535","https://openalex.org/W3033046106","https://openalex.org/W3080340506","https://openalex.org/W4220866631","https://openalex.org/W4289293306","https://openalex.org/W6675410418","https://openalex.org/W6675547039","https://openalex.org/W6756223733"],"related_works":["https://openalex.org/W3080495370","https://openalex.org/W4285597148","https://openalex.org/W4214707141","https://openalex.org/W2058799936","https://openalex.org/W2378302565","https://openalex.org/W2901531394","https://openalex.org/W4321599321","https://openalex.org/W1559262936","https://openalex.org/W2134707158","https://openalex.org/W2767348466"],"abstract_inverted_index":{"Emotion":[0],"recognition":[1,173],"is":[2,32,37,175],"a":[3],"topic":[4],"of":[5,65,73,123,133,145],"interest":[6],"in":[7,131,171],"Affective":[8],"Computing":[9],"(AC).":[10],"While":[11],"deep":[12],"learning":[13,49],"architectures":[14],"have":[15,61,76],"gained":[16],"popularity":[17],"for":[18,68,100,160],"classification":[19,85],"tasks,":[20],"their":[21,27],"reliance":[22],"on":[23,53],"large":[24],"datasets":[25],"limits":[26],"applicability":[28],"when":[29,177],"data":[30],"availability":[31],"scarce.":[33],"An":[34],"alternative":[35],"approach":[36,105,155],"feature":[38],"engineering,":[39],"which":[40],"involves":[41],"extracting":[42],"relevant":[43],"features":[44,67,82,107,118,170],"to":[45],"train":[46],"supervised":[47],"machine":[48],"models.":[50],"Neuroscientific":[51],"theories":[52],"emotion":[54,69,101,172],"processing,":[55],"such":[56],"as":[57],"the":[58,63,94,114,143,153,161],"lateralization":[59],"theory,":[60],"motivated":[62],"introduction":[64],"asymmetry":[66,117,154,169],"prediction.":[70],"However,":[71],"none":[72],"these":[74],"studies":[75],"statistically":[77,150],"evaluated":[78],"whether":[79],"including":[80],"asymmetrical":[81],"could":[83],"reduce":[84],"error":[86],"or":[87],"computational":[88,137,158,178],"time.":[89,138],"To":[90],"address":[91],"that":[92,142,167],"direction,":[93],"current":[95],"work":[96],"compared":[97,130],"two":[98,127],"approaches":[99,128,147],"recognition.":[102],"The":[103,126,139],"first":[104],"used":[106,116],"extracted":[108],"from":[109],"individual":[110],"EEG":[111,124],"channels,":[112],"while":[113],"second":[115],"calculated":[119],"by":[120],"matching":[121],"pairs":[122],"nodes.":[125],"were":[129,148],"terms":[132],"performance":[134],"and":[135],"fitted":[136],"comparison":[140],"indicated":[141],"performances":[144],"both":[146],"not":[149],"significant.":[151],"Notably,":[152],"required":[156],"less":[157],"time":[159],"training":[162],"stage.":[163],"This":[164],"finding":[165],"implies":[166],"incorporating":[168],"models":[174],"viable":[176],"resources":[179],"are":[180],"limited,":[181],"without":[182],"significantly":[183],"compromising":[184],"performance.":[185]},"counts_by_year":[{"year":2024,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}