{"id":"https://openalex.org/W3201245428","doi":"https://doi.org/10.1109/ijcnn52387.2021.9533310","title":"EEG emotion Enhancement using Task-specific Domain Adversarial Neural Network","display_name":"EEG emotion Enhancement using Task-specific Domain Adversarial Neural Network","publication_year":2021,"publication_date":"2021-07-18","ids":{"openalex":"https://openalex.org/W3201245428","doi":"https://doi.org/10.1109/ijcnn52387.2021.9533310","mag":"3201245428"},"language":"en","primary_location":{"id":"doi:10.1109/ijcnn52387.2021.9533310","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ijcnn52387.2021.9533310","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 International Joint Conference on Neural Networks (IJCNN)","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/A5012716671","display_name":"Ke-Ming Ding","orcid":null},"institutions":[{"id":"https://openalex.org/I98285908","display_name":"The University of Osaka","ror":"https://ror.org/035t8zc32","country_code":"JP","type":"education","lineage":["https://openalex.org/I98285908"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Ke-Ming Ding","raw_affiliation_strings":["The Institute of Scientific and Industrial Research (ISIR), Osaka University Graduate School of Information Science and Technology (IST), Osaka University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"The Institute of Scientific and Industrial Research (ISIR), Osaka University Graduate School of Information Science and Technology (IST), Osaka University","institution_ids":["https://openalex.org/I98285908"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5031412686","display_name":"Tsukasa Kimura","orcid":"https://orcid.org/0000-0002-9618-1701"},"institutions":[{"id":"https://openalex.org/I98285908","display_name":"The University of Osaka","ror":"https://ror.org/035t8zc32","country_code":"JP","type":"education","lineage":["https://openalex.org/I98285908"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Tsukasa Kimura","raw_affiliation_strings":["The Institute of Scientific and Industrial Research (ISIR), Osaka University Graduate School of Information Science and Technology (IST), Osaka University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"The Institute of Scientific and Industrial Research (ISIR), Osaka University Graduate School of Information Science and Technology (IST), Osaka University","institution_ids":["https://openalex.org/I98285908"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5075653507","display_name":"Ken\u2013ichi Fukui","orcid":"https://orcid.org/0000-0002-2451-1919"},"institutions":[{"id":"https://openalex.org/I98285908","display_name":"The University of Osaka","ror":"https://ror.org/035t8zc32","country_code":"JP","type":"education","lineage":["https://openalex.org/I98285908"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Ken-ichi Fukui","raw_affiliation_strings":["The Institute of Scientific and Industrial Research (ISIR), Osaka University Graduate School of Information Science and Technology (IST), Osaka University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"The Institute of Scientific and Industrial Research (ISIR), Osaka University Graduate School of Information Science and Technology (IST), Osaka University","institution_ids":["https://openalex.org/I98285908"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5002214819","display_name":"Masayuki Numao","orcid":"https://orcid.org/0000-0002-4890-1970"},"institutions":[{"id":"https://openalex.org/I98285908","display_name":"The University of Osaka","ror":"https://ror.org/035t8zc32","country_code":"JP","type":"education","lineage":["https://openalex.org/I98285908"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Masayuki Numao","raw_affiliation_strings":["The Institute of Scientific and Industrial Research (ISIR), Osaka University Graduate School of Information Science and Technology (IST), Osaka University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"The Institute of Scientific and Industrial Research (ISIR), Osaka University Graduate School of Information Science and Technology (IST), Osaka University","institution_ids":["https://openalex.org/I98285908"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I98285908"],"apc_list":null,"apc_paid":null,"fwci":3.4285,"has_fulltext":false,"cited_by_count":12,"citation_normalized_percentile":{"value":0.9392682,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":91,"max":98},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"8"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10429","display_name":"EEG and Brain-Computer Interfaces","score":0.9998999834060669,"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":0.9998999834060669,"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":0.996999979019165,"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":0.9937000274658203,"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":0.7530080676078796},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6457811594009399},{"id":"https://openalex.org/keywords/adversarial-system","display_name":"Adversarial system","score":0.6388942003250122},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.6159353256225586},{"id":"https://openalex.org/keywords/generalization","display_name":"Generalization","score":0.5368263125419617},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.5352827310562134},{"id":"https://openalex.org/keywords/benchmark","display_name":"Benchmark (surveying)","score":0.5341849327087402},{"id":"https://openalex.org/keywords/subject","display_name":"Subject (documents)","score":0.5009243488311768},{"id":"https://openalex.org/keywords/domain-adaptation","display_name":"Domain adaptation","score":0.497365266084671},{"id":"https://openalex.org/keywords/adaptation","display_name":"Adaptation (eye)","score":0.49054282903671265},{"id":"https://openalex.org/keywords/domain","display_name":"Domain (mathematical analysis)","score":0.4815371632575989},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.48052486777305603},{"id":"https://openalex.org/keywords/task-analysis","display_name":"Task analysis","score":0.4607331454753876},{"id":"https://openalex.org/keywords/electroencephalography","display_name":"Electroencephalography","score":0.45800045132637024},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.45095694065093994},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.34284865856170654},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.14760422706604004},{"id":"https://openalex.org/keywords/psychology","display_name":"Psychology","score":0.1438831388950348}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7530080676078796},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6457811594009399},{"id":"https://openalex.org/C37736160","wikidata":"https://www.wikidata.org/wiki/Q1801315","display_name":"Adversarial system","level":2,"score":0.6388942003250122},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.6159353256225586},{"id":"https://openalex.org/C177148314","wikidata":"https://www.wikidata.org/wiki/Q170084","display_name":"Generalization","level":2,"score":0.5368263125419617},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.5352827310562134},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.5341849327087402},{"id":"https://openalex.org/C2777855551","wikidata":"https://www.wikidata.org/wiki/Q12310021","display_name":"Subject (documents)","level":2,"score":0.5009243488311768},{"id":"https://openalex.org/C2776434776","wikidata":"https://www.wikidata.org/wiki/Q19246213","display_name":"Domain adaptation","level":3,"score":0.497365266084671},{"id":"https://openalex.org/C139807058","wikidata":"https://www.wikidata.org/wiki/Q352374","display_name":"Adaptation (eye)","level":2,"score":0.49054282903671265},{"id":"https://openalex.org/C36503486","wikidata":"https://www.wikidata.org/wiki/Q11235244","display_name":"Domain (mathematical analysis)","level":2,"score":0.4815371632575989},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.48052486777305603},{"id":"https://openalex.org/C175154964","wikidata":"https://www.wikidata.org/wiki/Q380077","display_name":"Task analysis","level":3,"score":0.4607331454753876},{"id":"https://openalex.org/C522805319","wikidata":"https://www.wikidata.org/wiki/Q179965","display_name":"Electroencephalography","level":2,"score":0.45800045132637024},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.45095694065093994},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.34284865856170654},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.14760422706604004},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.1438831388950348},{"id":"https://openalex.org/C161191863","wikidata":"https://www.wikidata.org/wiki/Q199655","display_name":"Library science","level":1,"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/C169760540","wikidata":"https://www.wikidata.org/wiki/Q207011","display_name":"Neuroscience","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/C118552586","wikidata":"https://www.wikidata.org/wiki/Q7867","display_name":"Psychiatry","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/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"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/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/ijcnn52387.2021.9533310","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ijcnn52387.2021.9533310","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 International Joint Conference on Neural Networks (IJCNN)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/4","display_name":"Quality Education","score":0.4099999964237213}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":35,"referenced_works":["https://openalex.org/W1565327149","https://openalex.org/W1731081199","https://openalex.org/W1779010541","https://openalex.org/W1798694710","https://openalex.org/W1947251450","https://openalex.org/W1970727126","https://openalex.org/W2002055708","https://openalex.org/W2003823024","https://openalex.org/W2033688243","https://openalex.org/W2075647286","https://openalex.org/W2099471712","https://openalex.org/W2105732805","https://openalex.org/W2115403315","https://openalex.org/W2142114717","https://openalex.org/W2187089797","https://openalex.org/W2494133495","https://openalex.org/W2611647730","https://openalex.org/W2744915377","https://openalex.org/W2786808285","https://openalex.org/W2790814155","https://openalex.org/W2900802277","https://openalex.org/W2962687275","https://openalex.org/W2962905870","https://openalex.org/W2964896424","https://openalex.org/W2974065644","https://openalex.org/W2982126608","https://openalex.org/W3090425814","https://openalex.org/W3104433444","https://openalex.org/W3116546446","https://openalex.org/W4320013936","https://openalex.org/W6633949838","https://openalex.org/W6637618735","https://openalex.org/W6676014314","https://openalex.org/W6681325634","https://openalex.org/W6690073643"],"related_works":["https://openalex.org/W2502115930","https://openalex.org/W4246396837","https://openalex.org/W2482350142","https://openalex.org/W3176240006","https://openalex.org/W3126451824","https://openalex.org/W1561927205","https://openalex.org/W3191453585","https://openalex.org/W4297672492","https://openalex.org/W4288019534","https://openalex.org/W4310988119"],"abstract_inverted_index":{"Electroencephalogram":[0],"(EEG)":[1],"signal":[2],"has":[3,155],"been":[4],"widely":[5],"applied":[6],"in":[7,16,45,165,189,220],"detecting":[8],"human":[9],"emotion.":[10],"Individual":[11],"differences":[12],"limit":[13],"the":[14,20,32,78,108,131,152,161,204,214],"generalization":[15],"cross-subject":[17,190],"classification":[18,138],"since":[19],"release":[21],"of":[22,163,216],"emotion":[23,34,164,174],"will":[24],"be":[25],"definitely":[26],"different":[27,147],"across":[28],"persons":[29],"even":[30],"with":[31,144],"same":[33,109,153],"stimuli.":[35],"Previous":[36],"research":[37],"utilizes":[38],"domain":[39,75],"adaptation":[40,76],"to":[41,92,102],"solve":[42],"this":[43],"problem":[44],"a":[46,61,72],"leave-one-subject-out":[47],"training":[48,127],"that":[49,181,199],"is":[50,113,124],"learning":[51],"common":[52],"emotion-related":[53],"features":[54],"from":[55,88,99,146,151],"many":[56],"subjects":[57],"and":[58,116,136],"testing":[59],"on":[60,94,104,172],"new":[62,166],"subject,":[63],"which":[64,85,129],"requires":[65,117],"abundant":[66],"labeled":[67,211],"data.":[68],"This":[69],"paper":[70],"proposed":[71,183,218],"novel":[73],"one-to-one":[74],"method,":[77],"Task-specific":[79],"Domain":[80],"Adversarial":[81],"Neural":[82],"Network":[83],"(T-DANN)":[84],"transfers":[86],"knowledge":[87,98],"either":[89],"one":[90,100],"subject":[91,96,154],"predict":[93,103],"another":[95,105],"or":[97],"phase":[101,106,149],"within":[107],"subject.":[110],"Therefore,":[111],"T-DANN":[112,123],"more":[114],"flexible":[115],"much":[118,156],"less":[119],"data":[120,145,150],"during":[121],"training.":[122],"an":[125],"adversarial":[126],"method":[128,171,184,196,206,219],"adapts":[130,137],"conditional":[132],"distribution":[133],"between":[134,140],"domains":[135],"boundaries":[139],"classes":[141],"simultaneously.":[142],"Compared":[143],"subjects,":[148],"deeper":[157],"correlation":[158],"thus":[159],"enhances":[160],"prediction":[162],"phase.":[167],"We":[168],"evaluated":[169],"our":[170,182,195,217],"EEG":[173],"benchmark":[175],"dataset":[176],"SEED.":[177],"The":[178],"experiments":[179],"showed":[180],"outperformed":[185],"other":[186],"baseline":[187],"methods":[188],"adaptation.":[191],"By":[192],"cross-phase":[193],"adaptation,":[194],"achieved":[197],"accuracy":[198],"approximately":[200],"3%":[201],"lower":[202],"than":[203],"state-of-the-art":[205],"but":[207],"only":[208],"used":[209],"1/14":[210],"data,":[212],"indicating":[213],"priority":[215],"real-time":[221],"application.":[222]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":6},{"year":2023,"cited_by_count":3},{"year":2022,"cited_by_count":2}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}