{"id":"https://openalex.org/W4390483116","doi":"https://doi.org/10.1109/ssci52147.2023.10372040","title":"Convolving Emotions: A Compact CNN for EEG-Based Emotion Recognition","display_name":"Convolving Emotions: A Compact CNN for EEG-Based Emotion Recognition","publication_year":2023,"publication_date":"2023-12-05","ids":{"openalex":"https://openalex.org/W4390483116","doi":"https://doi.org/10.1109/ssci52147.2023.10372040"},"language":"en","primary_location":{"id":"doi:10.1109/ssci52147.2023.10372040","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ssci52147.2023.10372040","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 IEEE Symposium Series on Computational Intelligence (SSCI)","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/A5093223189","display_name":"Marco A. Cardoso-Moreno","orcid":"https://orcid.org/0009-0001-1072-2985"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Marco A. Cardoso-Moreno","raw_affiliation_strings":["CIC Instituto Polit&#x00E9;cnico Nacional Mexico City,Computational Cognitive Sciences Laboratory,Mexico"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"CIC Instituto Polit&#x00E9;cnico Nacional Mexico City,Computational Cognitive Sciences Laboratory,Mexico","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5017690817","display_name":"Cesar Macias","orcid":"https://orcid.org/0009-0005-1708-5359"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Cesar Macias","raw_affiliation_strings":["CIC Instituto Polit&#x00E9;cnico Nacional Mexico City,Computational Cognitive Sciences Laboratory,Mexico"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"CIC Instituto Polit&#x00E9;cnico Nacional Mexico City,Computational Cognitive Sciences Laboratory,Mexico","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5007358169","display_name":"Tania Alc\u00e1ntara","orcid":"https://orcid.org/0009-0001-4391-6225"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Tania Alcantara","raw_affiliation_strings":["CIC Instituto Polit&#x00E9;cnico Nacional Mexico City,Computational Cognitive Sciences Laboratory,Mexico"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"CIC Instituto Polit&#x00E9;cnico Nacional Mexico City,Computational Cognitive Sciences Laboratory,Mexico","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5061320760","display_name":"Miguel Soto","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Miguel Soto","raw_affiliation_strings":["CIC Instituto Polit&#x00E9;cnico Nacional Mexico City,Computational Cognitive Sciences Laboratory,Mexico"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"CIC Instituto Polit&#x00E9;cnico Nacional Mexico City,Computational Cognitive Sciences Laboratory,Mexico","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5055414768","display_name":"Hiram Calvo","orcid":"https://orcid.org/0000-0003-2836-2102"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Hiram Calvo","raw_affiliation_strings":["CIC Instituto Polit&#x00E9;cnico Nacional Mexico City,Computational Cognitive Sciences Laboratory,Mexico"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"CIC Instituto Polit&#x00E9;cnico Nacional Mexico City,Computational Cognitive Sciences Laboratory,Mexico","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5030200514","display_name":"Cornelio Y\u00e1\u00f1ez-M\u00e1rqu\u00e9z","orcid":"https://orcid.org/0000-0002-6250-4728"},"institutions":[{"id":"https://openalex.org/I59361560","display_name":"Instituto Polit\u00e9cnico Nacional","ror":"https://ror.org/059sp8j34","country_code":"MX","type":"education","lineage":["https://openalex.org/I59361560"]}],"countries":["MX"],"is_corresponding":false,"raw_author_name":"Cornelio Ya\u00f1ez-Marquez","raw_affiliation_strings":["CIC Instituto Polit&#x00E9;cnico Nacional Mexico City,Intelligent Computing Laboratory,Mexico"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"CIC Instituto Polit&#x00E9;cnico Nacional Mexico City,Intelligent Computing Laboratory,Mexico","institution_ids":["https://openalex.org/I59361560"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":6,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.1643,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.52246377,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":95},"biblio":{"volume":null,"issue":null,"first_page":"1472","last_page":"1476"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10429","display_name":"EEG and Brain-Computer Interfaces","score":0.9998000264167786,"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":0.9998000264167786,"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":0.9994999766349792,"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/T11447","display_name":"Blind Source Separation Techniques","score":0.9901999831199646,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7775740623474121},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.6483945846557617},{"id":"https://openalex.org/keywords/electroencephalography","display_name":"Electroencephalography","score":0.6480107307434082},{"id":"https://openalex.org/keywords/preprocessor","display_name":"Preprocessor","score":0.6259000301361084},{"id":"https://openalex.org/keywords/benchmark","display_name":"Benchmark (surveying)","score":0.5978403687477112},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5571872591972351},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.5519176125526428},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.550067126750946},{"id":"https://openalex.org/keywords/pipeline","display_name":"Pipeline (software)","score":0.5316346883773804},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.4751027822494507},{"id":"https://openalex.org/keywords/emotion-classification","display_name":"Emotion classification","score":0.4711921215057373},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.4678552746772766},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.449320912361145},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.43151167035102844},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3405359387397766},{"id":"https://openalex.org/keywords/psychology","display_name":"Psychology","score":0.15671315789222717}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7775740623474121},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.6483945846557617},{"id":"https://openalex.org/C522805319","wikidata":"https://www.wikidata.org/wiki/Q179965","display_name":"Electroencephalography","level":2,"score":0.6480107307434082},{"id":"https://openalex.org/C34736171","wikidata":"https://www.wikidata.org/wiki/Q918333","display_name":"Preprocessor","level":2,"score":0.6259000301361084},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.5978403687477112},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5571872591972351},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.5519176125526428},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.550067126750946},{"id":"https://openalex.org/C43521106","wikidata":"https://www.wikidata.org/wiki/Q2165493","display_name":"Pipeline (software)","level":2,"score":0.5316346883773804},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.4751027822494507},{"id":"https://openalex.org/C206310091","wikidata":"https://www.wikidata.org/wiki/Q750859","display_name":"Emotion classification","level":2,"score":0.4711921215057373},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.4678552746772766},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.449320912361145},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.43151167035102844},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3405359387397766},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.15671315789222717},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.0},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","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/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0},{"id":"https://openalex.org/C187736073","wikidata":"https://www.wikidata.org/wiki/Q2920921","display_name":"Management","level":1,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C13280743","wikidata":"https://www.wikidata.org/wiki/Q131089","display_name":"Geodesy","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/ssci52147.2023.10372040","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ssci52147.2023.10372040","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 IEEE Symposium Series on Computational Intelligence (SSCI)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.6299999952316284,"display_name":"Quality Education","id":"https://metadata.un.org/sdg/4"}],"awards":[],"funders":[{"id":"https://openalex.org/F4320321694","display_name":"Instituto Polit\u00e9cnico Nacional","ror":"https://ror.org/059sp8j34"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":25,"referenced_works":["https://openalex.org/W2002055708","https://openalex.org/W2100564287","https://openalex.org/W2146010402","https://openalex.org/W2197575150","https://openalex.org/W2593892313","https://openalex.org/W2913095566","https://openalex.org/W2944205279","https://openalex.org/W2969889150","https://openalex.org/W2971555734","https://openalex.org/W3083218890","https://openalex.org/W3119135172","https://openalex.org/W3203381531","https://openalex.org/W4205256556","https://openalex.org/W4206786523","https://openalex.org/W4210266523","https://openalex.org/W4229024336","https://openalex.org/W4248595459","https://openalex.org/W4289110083","https://openalex.org/W4308455107","https://openalex.org/W4312984402","https://openalex.org/W4366290672","https://openalex.org/W4366751844","https://openalex.org/W4385304038","https://openalex.org/W4385737717","https://openalex.org/W6734361500"],"related_works":["https://openalex.org/W2922348724","https://openalex.org/W200322357","https://openalex.org/W2130428257","https://openalex.org/W4308951944","https://openalex.org/W2057366091","https://openalex.org/W4312960290","https://openalex.org/W2977327189","https://openalex.org/W2032664813","https://openalex.org/W2095030957","https://openalex.org/W2066827917"],"abstract_inverted_index":{"Emotion":[0],"Recognition":[1],"is":[2,72,82,103,149,153],"a":[3,9,104,163],"research":[4],"area":[5],"that":[6],"has":[7],"had":[8],"surge":[10],"in":[11,79,87],"interest,":[12],"since":[13],"areas":[14],"such":[15],"as":[16,96,124],"mental":[17],"health,":[18],"psychological":[19],"diagnosis,":[20],"e-Learning":[21],"and":[22,61,126,145],"assistance":[23],"for":[24,55],"people":[25],"who":[26],"are":[27,49],"not":[28],"capable":[29],"of":[30,41,74,121,143,158],"communicating":[31],"their":[32],"feelings,":[33],"depend":[34],"on":[35,38,117,155],"certain":[36,119],"level,":[37],"the":[39,75,92,113,122,156,159],"capacities":[40],"computer":[42],"systems":[43],"to":[44,52,81,98],"reliably":[45],"identify":[46],"emotions.":[47],"There":[48],"several":[50,132],"approaches":[51],"this":[53,88],"task,":[54],"instance,":[56],"analyzing":[57],"facial":[58],"expressions,":[59],"speech,":[60],"physiological":[62],"signals":[63,125],"(electrocardiogram,":[64],"galvanic":[65],"skin":[66],"response,":[67],"electroencephalogram,":[68],"among":[69],"others).":[70],"Electroencephalogram":[71],"one":[73,107],"preferred":[76],"methods":[77],"due,":[78],"part,":[80],"great":[83],"temporal":[84],"resolution.":[85],"Therefore,":[86],"paper":[89],"we":[90],"used":[91],"EEG":[93],"Brainwave":[94],"Dataset":[95],"benchmark":[97],"test":[99],"our":[100,138],"model,":[101],"which":[102,148],"four":[105],"layer,":[106],"dimensional":[108],"convolutional":[109],"neural":[110],"network.":[111],"After":[112],"preprocessing":[114],"pipeline,":[115],"consisting":[116],"considering":[118],"features":[120],"dataset":[123],"processing":[127],"them":[128],"accordingly,":[129],"by":[130,134],"creating":[131],"channels":[133],"two":[135],"decomposition":[136],"methods,":[137],"model":[139],"achieved":[140],"accuracy":[141],"values":[142],"98.36%":[144],"95.31":[146],"%,":[147],"competitive":[150],"with":[151],"what":[152],"found":[154],"state":[157],"art,":[160],"while":[161],"being":[162],"significantly":[164],"less":[165],"complex":[166],"model.":[167]},"counts_by_year":[{"year":2025,"cited_by_count":1}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}
