{"id":"https://openalex.org/W4399620002","doi":"https://doi.org/10.1109/tce.2024.3414154","title":"Data Generation for Enhancing EEG-Based Emotion Recognition: Extracting Time-Invariant and Subject-Invariant Components With Contrastive Learning","display_name":"Data Generation for Enhancing EEG-Based Emotion Recognition: Extracting Time-Invariant and Subject-Invariant Components With Contrastive Learning","publication_year":2024,"publication_date":"2024-06-13","ids":{"openalex":"https://openalex.org/W4399620002","doi":"https://doi.org/10.1109/tce.2024.3414154"},"language":"en","primary_location":{"id":"doi:10.1109/tce.2024.3414154","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tce.2024.3414154","pdf_url":null,"source":{"id":"https://openalex.org/S126824455","display_name":"IEEE Transactions on Consumer Electronics","issn_l":"0098-3063","issn":["0098-3063","1558-4127"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Consumer Electronics","raw_type":"journal-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/A5101634419","display_name":"Zhijiang Wan","orcid":"https://orcid.org/0000-0003-2918-052X"},"institutions":[{"id":"https://openalex.org/I141649914","display_name":"Nanchang University","ror":"https://ror.org/042v6xz23","country_code":"CN","type":"education","lineage":["https://openalex.org/I141649914"]},{"id":"https://openalex.org/I4210120015","display_name":"Nanchang Institute of Science & Technology","ror":"https://ror.org/02q5y6156","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210120015"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Zhijiang Wan","raw_affiliation_strings":["School of Information Engineering and the Industrial Institute of Artificial Intelligence, Nanchang University, Nanchang, Jiangxi, China","School of Information Engineering, Nanchang University, Jiangxi, China"],"affiliations":[{"raw_affiliation_string":"School of Information Engineering and the Industrial Institute of Artificial Intelligence, Nanchang University, Nanchang, Jiangxi, China","institution_ids":["https://openalex.org/I4210120015","https://openalex.org/I141649914"]},{"raw_affiliation_string":"School of Information Engineering, Nanchang University, Jiangxi, China","institution_ids":["https://openalex.org/I141649914"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Qianhao Yu","orcid":"https://orcid.org/0000-0001-8660-8903"},"institutions":[{"id":"https://openalex.org/I141649914","display_name":"Nanchang University","ror":"https://ror.org/042v6xz23","country_code":"CN","type":"education","lineage":["https://openalex.org/I141649914"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Qianhao Yu","raw_affiliation_strings":["School of Information Engineering, Nanchang University, Nanchang, Jiangxi, China","School of Information Engineering, Nanchang University, Jiangxi, China"],"affiliations":[{"raw_affiliation_string":"School of Information Engineering, Nanchang University, Nanchang, Jiangxi, China","institution_ids":["https://openalex.org/I141649914"]},{"raw_affiliation_string":"School of Information Engineering, Nanchang University, Jiangxi, China","institution_ids":["https://openalex.org/I141649914"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100596120","display_name":"Wujie Dai","orcid":null},"institutions":[{"id":"https://openalex.org/I141649914","display_name":"Nanchang University","ror":"https://ror.org/042v6xz23","country_code":"CN","type":"education","lineage":["https://openalex.org/I141649914"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wujie Dai","raw_affiliation_strings":["School of Information Engineering, Nanchang University, Nanchang, Jiangxi, China","School of Information Engineering, Nanchang University, Jiangxi, China"],"affiliations":[{"raw_affiliation_string":"School of Information Engineering, Nanchang University, Nanchang, Jiangxi, China","institution_ids":["https://openalex.org/I141649914"]},{"raw_affiliation_string":"School of Information Engineering, Nanchang University, Jiangxi, China","institution_ids":["https://openalex.org/I141649914"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101735868","display_name":"Siyue Li","orcid":"https://orcid.org/0000-0001-8791-5841"},"institutions":[{"id":"https://openalex.org/I161318765","display_name":"University of California, Los Angeles","ror":"https://ror.org/046rm7j60","country_code":"US","type":"education","lineage":["https://openalex.org/I161318765"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Siyue Li","raw_affiliation_strings":["Department of Radiological Sciences, University of California at Los Angeles, Los Angeles, CA, USA","Department of Radiological Sciences, University of California Los Angeles, Los Angeles, CA, United States"],"affiliations":[{"raw_affiliation_string":"Department of Radiological Sciences, University of California at Los Angeles, Los Angeles, CA, USA","institution_ids":["https://openalex.org/I161318765"]},{"raw_affiliation_string":"Department of Radiological Sciences, University of California Los Angeles, Los Angeles, CA, United States","institution_ids":["https://openalex.org/I161318765"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100781459","display_name":"Jin Hong","orcid":"https://orcid.org/0000-0002-8757-2700"},"institutions":[{"id":"https://openalex.org/I141649914","display_name":"Nanchang University","ror":"https://ror.org/042v6xz23","country_code":"CN","type":"education","lineage":["https://openalex.org/I141649914"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jin Hong","raw_affiliation_strings":["School of Information Engineering, Nanchang University, Nanchang, Jiangxi, China","School of Information Engineering, Nanchang University, Jiangxi, China"],"affiliations":[{"raw_affiliation_string":"School of Information Engineering, Nanchang University, Nanchang, Jiangxi, China","institution_ids":["https://openalex.org/I141649914"]},{"raw_affiliation_string":"School of Information Engineering, Nanchang University, Jiangxi, China","institution_ids":["https://openalex.org/I141649914"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5101634419"],"corresponding_institution_ids":["https://openalex.org/I141649914","https://openalex.org/I4210120015"],"apc_list":null,"apc_paid":null,"fwci":8.9118,"has_fulltext":false,"cited_by_count":18,"citation_normalized_percentile":{"value":0.98154539,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":98,"max":100},"biblio":{"volume":"71","issue":"1","first_page":"1371","last_page":"1384"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10667","display_name":"Emotion and Mood Recognition","score":0.9240000247955322,"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":0.9240000247955322,"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":0.9186999797821045,"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/invariant","display_name":"Invariant (physics)","score":0.6849424839019775},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5651487112045288},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5646340250968933},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.5635311603546143},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5562974214553833},{"id":"https://openalex.org/keywords/electroencephalography","display_name":"Electroencephalography","score":0.5493648648262024},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.46939367055892944},{"id":"https://openalex.org/keywords/lti-system-theory","display_name":"LTI system theory","score":0.4626532196998596},{"id":"https://openalex.org/keywords/psychology","display_name":"Psychology","score":0.2930358946323395},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.26686280965805054},{"id":"https://openalex.org/keywords/linear-system","display_name":"Linear system","score":0.0979529321193695}],"concepts":[{"id":"https://openalex.org/C190470478","wikidata":"https://www.wikidata.org/wiki/Q2370229","display_name":"Invariant (physics)","level":2,"score":0.6849424839019775},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5651487112045288},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5646340250968933},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.5635311603546143},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5562974214553833},{"id":"https://openalex.org/C522805319","wikidata":"https://www.wikidata.org/wiki/Q179965","display_name":"Electroencephalography","level":2,"score":0.5493648648262024},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.46939367055892944},{"id":"https://openalex.org/C87698059","wikidata":"https://www.wikidata.org/wiki/Q1808960","display_name":"LTI system theory","level":3,"score":0.4626532196998596},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.2930358946323395},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.26686280965805054},{"id":"https://openalex.org/C6802819","wikidata":"https://www.wikidata.org/wiki/Q1072174","display_name":"Linear system","level":2,"score":0.0979529321193695},{"id":"https://openalex.org/C118552586","wikidata":"https://www.wikidata.org/wiki/Q7867","display_name":"Psychiatry","level":1,"score":0.0},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0},{"id":"https://openalex.org/C37914503","wikidata":"https://www.wikidata.org/wiki/Q156495","display_name":"Mathematical physics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tce.2024.3414154","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tce.2024.3414154","pdf_url":null,"source":{"id":"https://openalex.org/S126824455","display_name":"IEEE Transactions on Consumer Electronics","issn_l":"0098-3063","issn":["0098-3063","1558-4127"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Consumer Electronics","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":51,"referenced_works":["https://openalex.org/W1947251450","https://openalex.org/W1970727126","https://openalex.org/W2002055708","https://openalex.org/W2046419882","https://openalex.org/W2559463885","https://openalex.org/W2741907166","https://openalex.org/W2786768213","https://openalex.org/W2898242330","https://openalex.org/W2900992113","https://openalex.org/W2922915988","https://openalex.org/W3005886022","https://openalex.org/W3007069363","https://openalex.org/W3008290004","https://openalex.org/W3008377582","https://openalex.org/W3044636944","https://openalex.org/W3045676091","https://openalex.org/W3047405387","https://openalex.org/W3082441598","https://openalex.org/W3128631722","https://openalex.org/W3162943204","https://openalex.org/W3165205802","https://openalex.org/W3170049569","https://openalex.org/W3197438232","https://openalex.org/W3199638068","https://openalex.org/W3204453541","https://openalex.org/W4206136329","https://openalex.org/W4225284605","https://openalex.org/W4226323522","https://openalex.org/W4229024336","https://openalex.org/W4312114404","https://openalex.org/W4312597583","https://openalex.org/W4312721942","https://openalex.org/W4313531231","https://openalex.org/W4317743637","https://openalex.org/W4321484266","https://openalex.org/W4363679399","https://openalex.org/W4379163937","https://openalex.org/W4381785857","https://openalex.org/W4386212336","https://openalex.org/W4386280880","https://openalex.org/W4387267398","https://openalex.org/W4388286188","https://openalex.org/W4388469625","https://openalex.org/W4388989639","https://openalex.org/W4389917421","https://openalex.org/W4390738767","https://openalex.org/W4392024763","https://openalex.org/W4392173776","https://openalex.org/W6776700526","https://openalex.org/W6789805323","https://openalex.org/W6850357939"],"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/W2049513647","https://openalex.org/W2988848585","https://openalex.org/W4233722919","https://openalex.org/W2032664813","https://openalex.org/W3169827016"],"abstract_inverted_index":{"The":[0,171],"utilization":[1],"of":[2,35,51,63,146,190],"Artificial":[3],"Intelligence":[4],"for":[5,17,40,59,109,176],"Generative":[6],"Content":[7],"(AIGC)":[8],"has":[9],"emerged":[10],"as":[11,174],"an":[12],"effective":[13],"and":[14,31,48,111],"sophisticated":[15],"approach":[16,24],"generating":[18],"synthetic":[19],"Electroencephalography":[20],"(EEG)":[21],"signals.":[22],"This":[23,82,117],"proves":[25],"beneficial":[26],"in":[27],"augmenting":[28],"EEG":[29,52,96,114],"data":[30,75,115,121,140],"enhancing":[32],"the":[33,44,60,69,131,138,144,158,180,187],"performance":[34,167],"deep":[36],"learning":[37],"(DL)":[38],"methods":[39],"emotion":[41,65,177,192],"recognition.":[42,66],"However,":[43],"temporal":[45],"non-stationary":[46],"nature":[47],"inter-subject":[49,120],"variability":[50],"signals":[53],"still":[54],"pose":[55],"a":[56,73,85,101,123],"great":[57],"challenge":[58],"practical":[61],"applications":[62],"EEG-based":[64],"To":[67],"address":[68],"challenges,":[70],"we":[71,99],"propose":[72],"novel":[74,154],"generation":[76],"workflow":[77,83],"that":[78,137],"combines":[79],"multi-task":[80],"learning.":[81],"incorporates":[84],"generative":[86],"pre-trained":[87],"Transformer":[88],"(EEGPT)":[89],"to":[90,130,153,164],"generate":[91],"time-invariant":[92],"components":[93],"from":[94],"raw":[95],"data.":[97,133],"Additionally,":[98],"introduce":[100],"model":[102,182],"training":[103],"strategy":[104,118,160],"called":[105],"Contrastive":[106],"Learning":[107],"method":[108],"Time-invariant":[110],"Subject-invariant":[112],"(CLTISI)":[113],"generation.":[116],"aligns":[119],"into":[122,186],"shared":[124],"high-dimensional":[125],"space,":[126],"imparting":[127],"subject-invariant":[128],"characteristics":[129],"generated":[132,139],"Experimental":[134],"results":[135],"demonstrate":[136],"not":[141],"only":[142],"improves":[143],"generalization":[145],"DL":[147,162],"models":[148,163],"but":[149],"also":[150],"adapts":[151],"effectively":[152],"emotional":[155],"stimuli.":[156],"Furthermore,":[157],"CLTISI":[159],"enables":[161],"maintain":[165],"stable":[166],"across":[168],"diverse":[169],"datasets.":[170],"regions":[172],"identified":[173],"crucial":[175],"recognition":[178],"by":[179],"EEGPT":[181],"offer":[183],"valuable":[184],"insights":[185],"neural":[188],"mechanisms":[189],"human":[191],"processing.":[193]},"counts_by_year":[{"year":2026,"cited_by_count":4},{"year":2025,"cited_by_count":9},{"year":2024,"cited_by_count":5}],"updated_date":"2026-04-11T08:14:18.477133","created_date":"2025-10-10T00:00:00"}