{"id":"https://openalex.org/W4387951221","doi":"https://doi.org/10.1109/ccece58730.2023.10289007","title":"Multimodal Deep Learning Model for Subject-Independent EEG-based Emotion Recognition","display_name":"Multimodal Deep Learning Model for Subject-Independent EEG-based Emotion Recognition","publication_year":2023,"publication_date":"2023-09-24","ids":{"openalex":"https://openalex.org/W4387951221","doi":"https://doi.org/10.1109/ccece58730.2023.10289007"},"language":"en","primary_location":{"id":"doi:10.1109/ccece58730.2023.10289007","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ccece58730.2023.10289007","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/A5093127276","display_name":"Shyamal Y. Dharia","orcid":"https://orcid.org/0009-0001-1956-8726"},"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":"Shyamal Y. Dharia","raw_affiliation_strings":["University of Winnipeg,Applied Computer Science,Winnipeg,Canada","Applied Computer Science, University of Winnipeg, Winnipeg, Canada"],"affiliations":[{"raw_affiliation_string":"University of Winnipeg,Applied Computer Science,Winnipeg,Canada","institution_ids":["https://openalex.org/I872945872"]},{"raw_affiliation_string":"Applied Computer Science, University of Winnipeg, Winnipeg, Canada","institution_ids":["https://openalex.org/I872945872"]}]},{"author_position":"middle","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":false,"raw_author_name":"Camilo E. Valderrama","raw_affiliation_strings":["University of Winnipeg,Applied Computer Science,Winnipeg,Canada","Applied Computer Science, University of Winnipeg, Winnipeg, Canada"],"affiliations":[{"raw_affiliation_string":"University of Winnipeg,Applied Computer Science,Winnipeg,Canada","institution_ids":["https://openalex.org/I872945872"]},{"raw_affiliation_string":"Applied Computer Science, University of Winnipeg, Winnipeg, 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,Applied Computer Science,Winnipeg,Canada","Applied Computer Science, University of Winnipeg, Winnipeg, Canada"],"affiliations":[{"raw_affiliation_string":"University of Winnipeg,Applied Computer Science,Winnipeg,Canada","institution_ids":["https://openalex.org/I872945872"]},{"raw_affiliation_string":"Applied Computer Science, University of Winnipeg, Winnipeg, Canada","institution_ids":["https://openalex.org/I872945872"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5093127276"],"corresponding_institution_ids":["https://openalex.org/I872945872"],"apc_list":null,"apc_paid":null,"fwci":2.8775,"has_fulltext":false,"cited_by_count":11,"citation_normalized_percentile":{"value":0.91272213,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":97,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"105","last_page":"110"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10667","display_name":"Emotion and Mood Recognition","score":0.9998000264167786,"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":0.9998000264167786,"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":0.9994999766349792,"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/T10241","display_name":"Functional Brain Connectivity Studies","score":0.9803000092506409,"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/electroencephalography","display_name":"Electroencephalography","score":0.7814226150512695},{"id":"https://openalex.org/keywords/emotion-recognition","display_name":"Emotion recognition","score":0.6144893169403076},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6042803525924683},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5614883899688721},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.4908195436000824},{"id":"https://openalex.org/keywords/eye-movement","display_name":"Eye movement","score":0.47782137989997864},{"id":"https://openalex.org/keywords/emotion-classification","display_name":"Emotion classification","score":0.44130006432533264},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.40852564573287964},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.4046298861503601},{"id":"https://openalex.org/keywords/cognitive-psychology","display_name":"Cognitive psychology","score":0.37313517928123474},{"id":"https://openalex.org/keywords/psychology","display_name":"Psychology","score":0.344387024641037},{"id":"https://openalex.org/keywords/neuroscience","display_name":"Neuroscience","score":0.10029640793800354}],"concepts":[{"id":"https://openalex.org/C522805319","wikidata":"https://www.wikidata.org/wiki/Q179965","display_name":"Electroencephalography","level":2,"score":0.7814226150512695},{"id":"https://openalex.org/C2777438025","wikidata":"https://www.wikidata.org/wiki/Q1339090","display_name":"Emotion recognition","level":2,"score":0.6144893169403076},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6042803525924683},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5614883899688721},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.4908195436000824},{"id":"https://openalex.org/C153050134","wikidata":"https://www.wikidata.org/wiki/Q760256","display_name":"Eye movement","level":2,"score":0.47782137989997864},{"id":"https://openalex.org/C206310091","wikidata":"https://www.wikidata.org/wiki/Q750859","display_name":"Emotion classification","level":2,"score":0.44130006432533264},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.40852564573287964},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.4046298861503601},{"id":"https://openalex.org/C180747234","wikidata":"https://www.wikidata.org/wiki/Q23373","display_name":"Cognitive psychology","level":1,"score":0.37313517928123474},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.344387024641037},{"id":"https://openalex.org/C169760540","wikidata":"https://www.wikidata.org/wiki/Q207011","display_name":"Neuroscience","level":1,"score":0.10029640793800354}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/ccece58730.2023.10289007","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ccece58730.2023.10289007","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":[{"id":"https://openalex.org/F4320311203","display_name":"University of Winnipeg","ror":"https://ror.org/02gdzyx04"},{"id":"https://openalex.org/F4320338440","display_name":"HORIZON EUROPE Health","ror":null}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":22,"referenced_works":["https://openalex.org/W76639474","https://openalex.org/W2004104731","https://openalex.org/W2005178092","https://openalex.org/W2058490785","https://openalex.org/W2061957596","https://openalex.org/W2164368909","https://openalex.org/W2407512993","https://openalex.org/W2620821470","https://openalex.org/W2786768213","https://openalex.org/W2790404832","https://openalex.org/W2808223797","https://openalex.org/W2900672720","https://openalex.org/W2911220936","https://openalex.org/W2945585469","https://openalex.org/W2998115938","https://openalex.org/W3033046106","https://openalex.org/W3159301005","https://openalex.org/W3203998598","https://openalex.org/W3206744364","https://openalex.org/W6637618735","https://openalex.org/W6713572877","https://openalex.org/W6794649008"],"related_works":["https://openalex.org/W1550318927","https://openalex.org/W4305042383","https://openalex.org/W2546649374","https://openalex.org/W2773396412","https://openalex.org/W4380854332","https://openalex.org/W2184859701","https://openalex.org/W4386232293","https://openalex.org/W4380370144","https://openalex.org/W2009950829","https://openalex.org/W2382178633"],"abstract_inverted_index":{"Regulating":[0],"emotion":[1,31,67,102,135],"is":[2,20],"crucial":[3],"for":[4,65,118,133,148],"maintaining":[5],"well-being":[6],"and":[7,43,71,91,106,116,120,139,154],"social":[8],"relationships.":[9],"However,":[10],"as":[11],"we":[12,58,78],"age,":[13],"the":[14,17,34,38,44,47,89,126],"volume":[15],"of":[16,40,46,114,128],"frontal":[18,48],"lobes":[19,49],"reduced,":[21],"which":[22,143],"can":[23,144],"cause":[24],"difficulties":[25],"in":[26,99,152],"regulating":[27],"emotions.":[28],"Electroencephalography":[29],"(EEG)-based":[30],"recognition":[32,68,103,136],"has":[33],"potential":[35,127],"to":[36,52,84],"understand":[37],"complexity":[39],"human":[41],"emotions":[42],"atrophy":[45],"that":[50,76],"leads":[51],"cognitive":[53],"impairment.":[54],"In":[55],"this":[56],"study,":[57],"investigated":[59],"a":[60],"multimodal":[61,129],"deep":[62,130],"learning":[63,131],"approach":[64,98,109],"subject-independent":[66,134],"using":[69,137],"EEG":[70,90,138],"eye":[72,92,140],"movement":[73,93,141],"data.":[74,94],"To":[75],"end,":[77],"proposed":[79],"an":[80,111],"attention":[81],"mechanism":[82],"layer":[83],"fuse":[85],"features":[86],"extracted":[87],"from":[88],"We":[95],"tested":[96],"our":[97],"two":[100],"benchmarking":[101],"datasets:":[104],"SEED-IV":[105,119],"SEED-V.":[107],"Our":[108,123],"achieved":[110],"average":[112],"accuracy":[113],"67.3%":[115],"72.3%":[117],"SEED-V,":[121],"respectively.":[122],"results":[124],"demonstrate":[125],"models":[132],"data,":[142],"have":[145],"important":[146],"implications":[147],"assessing":[149],"emotional":[150],"regulation":[151],"clinical":[153],"research":[155],"settings.":[156]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":6},{"year":2024,"cited_by_count":4}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
