{"id":"https://openalex.org/W4388821210","doi":"https://doi.org/10.1109/apsipaasc58517.2023.10317209","title":"Mixed Emotion Recognition Based on EEG Signals","display_name":"Mixed Emotion Recognition Based on EEG Signals","publication_year":2023,"publication_date":"2023-10-31","ids":{"openalex":"https://openalex.org/W4388821210","doi":"https://doi.org/10.1109/apsipaasc58517.2023.10317209"},"language":"en","primary_location":{"id":"doi:10.1109/apsipaasc58517.2023.10317209","is_oa":false,"landing_page_url":"https://doi.org/10.1109/apsipaasc58517.2023.10317209","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 Asia Pacific Signal and Information Processing Association Annual Summit and Conference (APSIPA ASC)","raw_type":"proceedings-article"},"type":"conference-paper","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/A5081606235","display_name":"Guanxiong Pei","orcid":"https://orcid.org/0000-0001-8064-9341"},"institutions":[{"id":"https://openalex.org/I4210123185","display_name":"Zhejiang Lab","ror":"https://ror.org/02m2h7991","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210123185"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Guanxiong Pei","raw_affiliation_strings":["Zhejiang Lab,Hangzhou,China","Zhejiang Lab, Hangzhou, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Zhejiang Lab,Hangzhou,China","institution_ids":["https://openalex.org/I4210123185"]},{"raw_affiliation_string":"Zhejiang Lab, Hangzhou, China","institution_ids":["https://openalex.org/I4210123185"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100626094","display_name":"Bingjie Li","orcid":"https://orcid.org/0000-0002-4871-7444"},"institutions":[{"id":"https://openalex.org/I165932596","display_name":"National University of Singapore","ror":"https://ror.org/01tgyzw49","country_code":"SG","type":"education","lineage":["https://openalex.org/I165932596"]}],"countries":["SG"],"is_corresponding":false,"raw_author_name":"Bingjie Li","raw_affiliation_strings":["National University of Singapore,Singapore,Singapore","National University of Singapore, Singapore, Singapore"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"National University of Singapore,Singapore,Singapore","institution_ids":["https://openalex.org/I165932596"]},{"raw_affiliation_string":"National University of Singapore, Singapore, Singapore","institution_ids":["https://openalex.org/I165932596"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5021697903","display_name":"Taihao Li","orcid":"https://orcid.org/0000-0003-3279-7125"},"institutions":[{"id":"https://openalex.org/I4210123185","display_name":"Zhejiang Lab","ror":"https://ror.org/02m2h7991","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210123185"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Taihao Li","raw_affiliation_strings":["Zhejiang Lab,Hangzhou,China","Zhejiang Lab, Hangzhou, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Zhejiang Lab,Hangzhou,China","institution_ids":["https://openalex.org/I4210123185"]},{"raw_affiliation_string":"Zhejiang Lab, Hangzhou, China","institution_ids":["https://openalex.org/I4210123185"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5037493212","display_name":"Cunhang Fan","orcid":"https://orcid.org/0000-0001-6318-8803"},"institutions":[{"id":"https://openalex.org/I143868143","display_name":"Anhui University","ror":"https://ror.org/05th6yx34","country_code":"CN","type":"education","lineage":["https://openalex.org/I143868143"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Cunhang Fan","raw_affiliation_strings":["Anhui University,Anhui,China","Anhui University, Anhui, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Anhui University,Anhui,China","institution_ids":["https://openalex.org/I143868143"]},{"raw_affiliation_string":"Anhui University, Anhui, China","institution_ids":["https://openalex.org/I143868143"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100460223","display_name":"Chao Zhang","orcid":"https://orcid.org/0000-0002-9583-0722"},"institutions":[{"id":"https://openalex.org/I143868143","display_name":"Anhui University","ror":"https://ror.org/05th6yx34","country_code":"CN","type":"education","lineage":["https://openalex.org/I143868143"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Chao Zhang","raw_affiliation_strings":["Anhui University,Anhui,China","Anhui University, Anhui, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Anhui University,Anhui,China","institution_ids":["https://openalex.org/I143868143"]},{"raw_affiliation_string":"Anhui University, Anhui, China","institution_ids":["https://openalex.org/I143868143"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5026466982","display_name":"Zhao Lv","orcid":"https://orcid.org/0000-0003-4530-4422"},"institutions":[{"id":"https://openalex.org/I143868143","display_name":"Anhui University","ror":"https://ror.org/05th6yx34","country_code":"CN","type":"education","lineage":["https://openalex.org/I143868143"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhao Lv","raw_affiliation_strings":["Anhui University,Anhui,China","Anhui University, Anhui, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Anhui University,Anhui,China","institution_ids":["https://openalex.org/I143868143"]},{"raw_affiliation_string":"Anhui University, Anhui, China","institution_ids":["https://openalex.org/I143868143"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.8218,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.70456515,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":95,"max":96},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"7"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10429","display_name":"EEG and Brain-Computer Interfaces","score":0.9957000017166138,"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"}},"topics":[{"id":"https://openalex.org/T10429","display_name":"EEG and Brain-Computer Interfaces","score":0.9957000017166138,"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/T10667","display_name":"Emotion and Mood Recognition","score":0.9894000291824341,"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/T10745","display_name":"Heart Rate Variability and Autonomic Control","score":0.9684000015258789,"subfield":{"id":"https://openalex.org/subfields/2705","display_name":"Cardiology and Cardiovascular Medicine"},"field":{"id":"https://openalex.org/fields/27","display_name":"Medicine"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6230089068412781},{"id":"https://openalex.org/keywords/electroencephalography","display_name":"Electroencephalography","score":0.5956214070320129},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5798635482788086},{"id":"https://openalex.org/keywords/random-forest","display_name":"Random forest","score":0.5622208714485168},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.5256125926971436},{"id":"https://openalex.org/keywords/probabilistic-logic","display_name":"Probabilistic logic","score":0.5127159357070923},{"id":"https://openalex.org/keywords/emotion-recognition","display_name":"Emotion recognition","score":0.4919137954711914},{"id":"https://openalex.org/keywords/entropy","display_name":"Entropy (arrow of time)","score":0.4867120087146759},{"id":"https://openalex.org/keywords/promotion","display_name":"Promotion (chess)","score":0.4675646722316742},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.464793860912323},{"id":"https://openalex.org/keywords/differential-entropy","display_name":"Differential entropy","score":0.4209294319152832},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.40703320503234863},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.34746143221855164},{"id":"https://openalex.org/keywords/psychology","display_name":"Psychology","score":0.22659453749656677},{"id":"https://openalex.org/keywords/principle-of-maximum-entropy","display_name":"Principle of maximum entropy","score":0.13076084852218628},{"id":"https://openalex.org/keywords/r\u00e9nyi-entropy","display_name":"R\u00e9nyi entropy","score":0.10611563920974731}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6230089068412781},{"id":"https://openalex.org/C522805319","wikidata":"https://www.wikidata.org/wiki/Q179965","display_name":"Electroencephalography","level":2,"score":0.5956214070320129},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5798635482788086},{"id":"https://openalex.org/C169258074","wikidata":"https://www.wikidata.org/wiki/Q245748","display_name":"Random forest","level":2,"score":0.5622208714485168},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.5256125926971436},{"id":"https://openalex.org/C49937458","wikidata":"https://www.wikidata.org/wiki/Q2599292","display_name":"Probabilistic logic","level":2,"score":0.5127159357070923},{"id":"https://openalex.org/C2777438025","wikidata":"https://www.wikidata.org/wiki/Q1339090","display_name":"Emotion recognition","level":2,"score":0.4919137954711914},{"id":"https://openalex.org/C106301342","wikidata":"https://www.wikidata.org/wiki/Q4117933","display_name":"Entropy (arrow of time)","level":2,"score":0.4867120087146759},{"id":"https://openalex.org/C98147612","wikidata":"https://www.wikidata.org/wiki/Q215599","display_name":"Promotion (chess)","level":3,"score":0.4675646722316742},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.464793860912323},{"id":"https://openalex.org/C124551494","wikidata":"https://www.wikidata.org/wiki/Q3055345","display_name":"Differential entropy","level":4,"score":0.4209294319152832},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.40703320503234863},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.34746143221855164},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.22659453749656677},{"id":"https://openalex.org/C9679016","wikidata":"https://www.wikidata.org/wiki/Q1417473","display_name":"Principle of maximum entropy","level":2,"score":0.13076084852218628},{"id":"https://openalex.org/C142611142","wikidata":"https://www.wikidata.org/wiki/Q1433083","display_name":"R\u00e9nyi entropy","level":3,"score":0.10611563920974731},{"id":"https://openalex.org/C94625758","wikidata":"https://www.wikidata.org/wiki/Q7163","display_name":"Politics","level":2,"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/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.0},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"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/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/apsipaasc58517.2023.10317209","is_oa":false,"landing_page_url":"https://doi.org/10.1109/apsipaasc58517.2023.10317209","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 Asia Pacific Signal and Information Processing Association Annual Summit and Conference (APSIPA ASC)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320311649","display_name":"Ministry of Education","ror":"https://ror.org/036nq5137"},{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320329860","display_name":"National Science and Technology Major Project","ror":null}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":38,"referenced_works":["https://openalex.org/W1042754999","https://openalex.org/W1502020353","https://openalex.org/W1900884525","https://openalex.org/W1970727126","https://openalex.org/W1980331490","https://openalex.org/W1980447390","https://openalex.org/W1999331356","https://openalex.org/W2003458804","https://openalex.org/W2004417280","https://openalex.org/W2019608648","https://openalex.org/W2022174575","https://openalex.org/W2037903774","https://openalex.org/W2039125545","https://openalex.org/W2091406858","https://openalex.org/W2093440960","https://openalex.org/W2125387256","https://openalex.org/W2216946510","https://openalex.org/W2299981438","https://openalex.org/W2343274691","https://openalex.org/W2411315559","https://openalex.org/W2503558952","https://openalex.org/W2507306959","https://openalex.org/W2605376995","https://openalex.org/W2621004407","https://openalex.org/W2770357778","https://openalex.org/W2786768213","https://openalex.org/W2922138935","https://openalex.org/W2962642848","https://openalex.org/W2962826540","https://openalex.org/W2994831951","https://openalex.org/W3003466012","https://openalex.org/W3136821886","https://openalex.org/W3189300284","https://openalex.org/W3203469066","https://openalex.org/W4206213016","https://openalex.org/W4210883075","https://openalex.org/W4312120805","https://openalex.org/W6771432604"],"related_works":["https://openalex.org/W4297973239","https://openalex.org/W3012976800","https://openalex.org/W2005569032","https://openalex.org/W3149214146","https://openalex.org/W2071645312","https://openalex.org/W3129479059","https://openalex.org/W2019425375","https://openalex.org/W3017803079","https://openalex.org/W2543167752","https://openalex.org/W1501859017"],"abstract_inverted_index":{"Advanced":[0],"emotion":[1],"monitoring":[2],"and":[3,54,66,82,118],"intervention":[4],"systems":[5],"are":[6],"critical":[7],"for":[8],"human-machine":[9],"cooperation":[10],"to":[11,27],"finish":[12],"specific":[13],"tasks":[14],"in":[15,109],"which":[16,90],"recognizing":[17],"mixed":[18,33],"emotions":[19,34],"is":[20,24,99],"essential.":[21],"This":[22],"study":[23,69,105],"the":[25,63,110],"first":[26],"propose":[28],"intelligent":[29],"recognition":[30],"methods":[31],"of":[32,89,103,112],"based":[35],"on":[36],"EEG":[37],"signals,":[38],"thus":[39],"endowing":[40],"machines":[41],"with":[42],"higher":[43],"emotional":[44],"intelligence.":[45],"We":[46],"extracted":[47],"differential":[48,51],"entropy":[49],"(DE),":[50],"asymmetry":[52,56],"(DASM),":[53],"rational":[55],"(RASM)":[57],"as":[58],"features.":[59],"To":[60],"better":[61],"serve":[62],"system":[64],"application":[65],"promotion,":[67],"this":[68,104],"selected":[70],"three":[71],"lightweight":[72],"classifiers,":[73],"including":[74],"Random":[75],"Forest":[76],"(RF),":[77],"Probabilistic":[78],"Neural":[79,85],"Networks":[80,86],"(PNN),":[81],"Generalized":[83],"Regression":[84],"(GRNN),":[87],"all":[88],"achieved":[91],"good":[92],"classification":[93,97],"performance.":[94],"The":[95,101],"highest":[96],"accuracy":[98],"96.7%.":[100],"results":[102],"can":[106],"be":[107],"applied":[108],"fields":[111],"mental":[113],"state":[114],"assessment,":[115],"psychological":[116],"assistance,":[117],"clinical":[119],"psychotherapy.":[120]},"counts_by_year":[{"year":2025,"cited_by_count":2}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}