{"id":"https://openalex.org/W2607028351","doi":"https://doi.org/10.1109/bhi.2017.7897205","title":"A multi-label learning method for efficient affective detection","display_name":"A multi-label learning method for efficient affective detection","publication_year":2017,"publication_date":"2017-01-01","ids":{"openalex":"https://openalex.org/W2607028351","doi":"https://doi.org/10.1109/bhi.2017.7897205","mag":"2607028351"},"language":"en","primary_location":{"id":"doi:10.1109/bhi.2017.7897205","is_oa":false,"landing_page_url":"https://doi.org/10.1109/bhi.2017.7897205","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 IEEE EMBS International Conference on Biomedical & Health Informatics (BHI)","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/A5100631530","display_name":"Yutong Wang","orcid":"https://orcid.org/0000-0003-2981-7471"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Yutong Wang","raw_affiliation_strings":["Department of Electronic & Information Engineering, Shenzhen Graduate School, Shenzhen, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Electronic & Information Engineering, Shenzhen Graduate School, Shenzhen, China","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100450979","display_name":"Tong Wang","orcid":"https://orcid.org/0000-0002-1062-8630"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Tong Wang","raw_affiliation_strings":["Department of Electronic & Information Engineering, Shenzhen Graduate School, Shenzhen, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Electronic & Information Engineering, Shenzhen Graduate School, Shenzhen, China","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5019029265","display_name":"Ping Gong","orcid":"https://orcid.org/0000-0001-9910-7948"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Ping Gong","raw_affiliation_strings":["Department of Electronic & Information Engineering, Shenzhen Graduate School, Shenzhen, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Electronic & Information Engineering, Shenzhen Graduate School, Shenzhen, China","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5058435416","display_name":"Ying Wu","orcid":"https://orcid.org/0000-0002-7919-1107"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Ying Wu","raw_affiliation_strings":["Department of Electronic & Information Engineering, Shenzhen Graduate School, Shenzhen, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Electronic & Information Engineering, Shenzhen Graduate School, Shenzhen, China","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5021063919","display_name":"Chenfei Ye","orcid":"https://orcid.org/0000-0001-5265-3546"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Chenfei Ye","raw_affiliation_strings":["Department of Electronic & Information Engineering, Shenzhen Graduate School, Shenzhen, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Electronic & Information Engineering, Shenzhen Graduate School, Shenzhen, China","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5028530320","display_name":"Jie Li","orcid":"https://orcid.org/0000-0002-7075-4145"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Jie Li","raw_affiliation_strings":["Department of Electronic & Information Engineering, Shenzhen Graduate School, Shenzhen, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Electronic & Information Engineering, Shenzhen Graduate School, Shenzhen, China","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5063352703","display_name":"Ting Ma","orcid":"https://orcid.org/0000-0001-8819-6228"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Ting Ma","raw_affiliation_strings":["Department of Electronic & Information Engineering, Shenzhen Graduate School, Shenzhen, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Electronic & Information Engineering, Shenzhen Graduate School, Shenzhen, China","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":0,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":5,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"61","last_page":"64"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10667","display_name":"Emotion and Mood Recognition","score":0.9994000196456909,"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":0.9994000196456909,"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":0.9765999913215637,"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/T12496","display_name":"Color perception and design","score":0.9672999978065491,"subfield":{"id":"https://openalex.org/subfields/3207","display_name":"Social Psychology"},"field":{"id":"https://openalex.org/fields/32","display_name":"Psychology"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7161592841148376},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.644356906414032},{"id":"https://openalex.org/keywords/affective-computing","display_name":"Affective computing","score":0.5941298007965088},{"id":"https://openalex.org/keywords/valence","display_name":"Valence (chemistry)","score":0.5656068921089172},{"id":"https://openalex.org/keywords/arousal","display_name":"Arousal","score":0.5463600158691406},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.5307906270027161},{"id":"https://openalex.org/keywords/emotion-recognition","display_name":"Emotion recognition","score":0.5062543749809265},{"id":"https://openalex.org/keywords/emotion-detection","display_name":"Emotion detection","score":0.49315375089645386},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.4687158167362213},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.44486692547798157},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.3283994197845459},{"id":"https://openalex.org/keywords/psychology","display_name":"Psychology","score":0.12623968720436096}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7161592841148376},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.644356906414032},{"id":"https://openalex.org/C6438553","wikidata":"https://www.wikidata.org/wiki/Q1185804","display_name":"Affective computing","level":2,"score":0.5941298007965088},{"id":"https://openalex.org/C168900304","wikidata":"https://www.wikidata.org/wiki/Q171407","display_name":"Valence (chemistry)","level":2,"score":0.5656068921089172},{"id":"https://openalex.org/C36951298","wikidata":"https://www.wikidata.org/wiki/Q379784","display_name":"Arousal","level":2,"score":0.5463600158691406},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.5307906270027161},{"id":"https://openalex.org/C2777438025","wikidata":"https://www.wikidata.org/wiki/Q1339090","display_name":"Emotion recognition","level":2,"score":0.5062543749809265},{"id":"https://openalex.org/C2988148770","wikidata":"https://www.wikidata.org/wiki/Q1339090","display_name":"Emotion detection","level":3,"score":0.49315375089645386},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.4687158167362213},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.44486692547798157},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.3283994197845459},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.12623968720436096},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"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/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/bhi.2017.7897205","is_oa":false,"landing_page_url":"https://doi.org/10.1109/bhi.2017.7897205","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 IEEE EMBS International Conference on Biomedical & Health Informatics (BHI)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":15,"referenced_works":["https://openalex.org/W1608342097","https://openalex.org/W1963753144","https://openalex.org/W2002055708","https://openalex.org/W2003653478","https://openalex.org/W2023912726","https://openalex.org/W2024115798","https://openalex.org/W2035316745","https://openalex.org/W2052684427","https://openalex.org/W2087173541","https://openalex.org/W2113555622","https://openalex.org/W2117062476","https://openalex.org/W2122098299","https://openalex.org/W2160429488","https://openalex.org/W2164368909","https://openalex.org/W2515133172"],"related_works":["https://openalex.org/W2029072726","https://openalex.org/W91913183","https://openalex.org/W2936882366","https://openalex.org/W1987182177","https://openalex.org/W2736893848","https://openalex.org/W1544055438","https://openalex.org/W3003450285","https://openalex.org/W4310841718","https://openalex.org/W1970739466","https://openalex.org/W2141866768"],"abstract_inverted_index":{"Biosignals-based":[0],"affective":[1,56,141,161],"computing":[2],"plays":[3],"an":[4,55,88],"important":[5],"role":[6],"in":[7,58,66,108,160],"human-computing":[8],"interaction.":[9],"In":[10,40,111],"recent":[11],"years,":[12],"a":[13,45,67],"lot":[14],"of":[15,29,38,113,158],"works":[16],"have":[17],"been":[18],"successfully":[19],"implemented":[20],"for":[21,90,125],"emotion":[22,100],"recognition":[23],"with":[24],"biological":[25,52],"signals.":[26],"However":[27],"most":[28],"them":[30],"are":[31],"computationally":[32],"expensive":[33],"due":[34],"to":[35,50,54,86,98,132],"the":[36,78,109,129,134,146,156],"complexity":[37],"models.":[39],"this":[41],"paper,":[42],"we":[43,143],"present":[44],"multi-label":[46],"learning":[47,62],"(MLL)":[48],"method":[49,131,148],"map":[51],"signals":[53,122],"model":[57,91],"real":[59],"time.":[60],"Multi-label":[61],"combines":[63],"multiple":[64],"classifiers":[65],"same":[68],"training":[69],"process":[70],"by":[71,102],"evaluating":[72],"correlations":[73],"between":[74,136],"labels.":[75],"To":[76],"evaluate":[77],"proposed":[79,147],"model,":[80],"25":[81],"male":[82],"subjects":[83],"were":[84,95,123],"recruited":[85],"anticipate":[87],"experiment":[89],"evaluation.":[92],"Dynamic":[93],"images":[94],"specifically":[96],"chosen":[97],"elicit":[99],"described":[101],"different":[103],"arousal":[104],"and":[105,118,140],"valence":[106],"levels":[107],"experiment.":[110],"terms":[112],"physiological":[114,137],"signals,":[115],"electrocardiogram":[116],"(ECG)":[117],"skin":[119],"conductivity":[120],"(SC)":[121],"collected":[124],"classification.":[126],"By":[127],"applying":[128],"MLL":[130,159],"analyze":[133],"relationships":[135],"signal":[138],"features":[139],"labels,":[142],"observed":[144],"that":[145],"performed":[149],"better":[150],"than":[151],"traditional":[152],"method,":[153],"which":[154],"showing":[155],"potential":[157],"detection.":[162]},"counts_by_year":[{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":2},{"year":2019,"cited_by_count":1}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}