{"id":"https://openalex.org/W2165468121","doi":"https://doi.org/10.1109/icsmc.2004.1398373","title":"Audiovisual emotion recognition","display_name":"Audiovisual emotion recognition","publication_year":2005,"publication_date":"2005-04-06","ids":{"openalex":"https://openalex.org/W2165468121","doi":"https://doi.org/10.1109/icsmc.2004.1398373","mag":"2165468121"},"language":"en","primary_location":{"id":"doi:10.1109/icsmc.2004.1398373","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icsmc.2004.1398373","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2004 IEEE International Conference on Systems, Man and Cybernetics (IEEE Cat. No.04CH37583)","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/A5027634608","display_name":"Liyanage C. De Silva","orcid":"https://orcid.org/0000-0001-7128-5945"},"institutions":[{"id":"https://openalex.org/I51158804","display_name":"Massey University","ror":"https://ror.org/052czxv31","country_code":"NZ","type":"education","lineage":["https://openalex.org/I51158804"]}],"countries":["NZ"],"is_corresponding":true,"raw_author_name":"L.C. De Silva","raw_affiliation_strings":["Institute of Information Sciences and Technology, Massey University, Palmerston North, New Zealand"],"affiliations":[{"raw_affiliation_string":"Institute of Information Sciences and Technology, Massey University, Palmerston North, New Zealand","institution_ids":["https://openalex.org/I51158804"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5027634608"],"corresponding_institution_ids":["https://openalex.org/I51158804"],"apc_list":null,"apc_paid":null,"fwci":1.1219,"has_fulltext":false,"cited_by_count":19,"citation_normalized_percentile":{"value":0.82161067,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":97},"biblio":{"volume":"1","issue":null,"first_page":"649","last_page":"654"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"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"}},"topics":[{"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/T10860","display_name":"Speech and Audio Processing","score":0.9975000023841858,"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"}},{"id":"https://openalex.org/T11309","display_name":"Music and Audio Processing","score":0.995199978351593,"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/sadness","display_name":"Sadness","score":0.9068770408630371},{"id":"https://openalex.org/keywords/surprise","display_name":"Surprise","score":0.8140650987625122},{"id":"https://openalex.org/keywords/anger","display_name":"Anger","score":0.7098990082740784},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.698060929775238},{"id":"https://openalex.org/keywords/emotion-recognition","display_name":"Emotion recognition","score":0.6969103217124939},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.678878128528595},{"id":"https://openalex.org/keywords/modalities","display_name":"Modalities","score":0.5483437776565552},{"id":"https://openalex.org/keywords/emotion-classification","display_name":"Emotion classification","score":0.5041025876998901},{"id":"https://openalex.org/keywords/facial-recognition-system","display_name":"Facial recognition system","score":0.4817783534526825},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4149476885795593},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.3251194953918457},{"id":"https://openalex.org/keywords/psychology","display_name":"Psychology","score":0.18088436126708984},{"id":"https://openalex.org/keywords/communication","display_name":"Communication","score":0.08565384149551392}],"concepts":[{"id":"https://openalex.org/C2779812673","wikidata":"https://www.wikidata.org/wiki/Q169251","display_name":"Sadness","level":3,"score":0.9068770408630371},{"id":"https://openalex.org/C2780343955","wikidata":"https://www.wikidata.org/wiki/Q333173","display_name":"Surprise","level":2,"score":0.8140650987625122},{"id":"https://openalex.org/C2779302386","wikidata":"https://www.wikidata.org/wiki/Q79871","display_name":"Anger","level":2,"score":0.7098990082740784},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.698060929775238},{"id":"https://openalex.org/C2777438025","wikidata":"https://www.wikidata.org/wiki/Q1339090","display_name":"Emotion recognition","level":2,"score":0.6969103217124939},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.678878128528595},{"id":"https://openalex.org/C2779903281","wikidata":"https://www.wikidata.org/wiki/Q6888026","display_name":"Modalities","level":2,"score":0.5483437776565552},{"id":"https://openalex.org/C206310091","wikidata":"https://www.wikidata.org/wiki/Q750859","display_name":"Emotion classification","level":2,"score":0.5041025876998901},{"id":"https://openalex.org/C31510193","wikidata":"https://www.wikidata.org/wiki/Q1192553","display_name":"Facial recognition system","level":3,"score":0.4817783534526825},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4149476885795593},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.3251194953918457},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.18088436126708984},{"id":"https://openalex.org/C46312422","wikidata":"https://www.wikidata.org/wiki/Q11024","display_name":"Communication","level":1,"score":0.08565384149551392},{"id":"https://openalex.org/C118552586","wikidata":"https://www.wikidata.org/wiki/Q7867","display_name":"Psychiatry","level":1,"score":0.0},{"id":"https://openalex.org/C144024400","wikidata":"https://www.wikidata.org/wiki/Q21201","display_name":"Sociology","level":0,"score":0.0},{"id":"https://openalex.org/C36289849","wikidata":"https://www.wikidata.org/wiki/Q34749","display_name":"Social science","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icsmc.2004.1398373","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icsmc.2004.1398373","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2004 IEEE International Conference on Systems, Man and Cybernetics (IEEE Cat. No.04CH37583)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":37,"referenced_works":["https://openalex.org/W362357514","https://openalex.org/W588460899","https://openalex.org/W1540664512","https://openalex.org/W1594278800","https://openalex.org/W1845099828","https://openalex.org/W1973378890","https://openalex.org/W2007962718","https://openalex.org/W2008065461","https://openalex.org/W2009375902","https://openalex.org/W2025175857","https://openalex.org/W2027545148","https://openalex.org/W2032254851","https://openalex.org/W2033147189","https://openalex.org/W2064414559","https://openalex.org/W2079498761","https://openalex.org/W2085861831","https://openalex.org/W2090282145","https://openalex.org/W2099365033","https://openalex.org/W2109644977","https://openalex.org/W2109774206","https://openalex.org/W2111926505","https://openalex.org/W2115289180","https://openalex.org/W2133180260","https://openalex.org/W2143203836","https://openalex.org/W2154739180","https://openalex.org/W2159017231","https://openalex.org/W2167483727","https://openalex.org/W2171939880","https://openalex.org/W2314276368","https://openalex.org/W2394979853","https://openalex.org/W2400519654","https://openalex.org/W2615173510","https://openalex.org/W4237095565","https://openalex.org/W4251867726","https://openalex.org/W4390964961","https://openalex.org/W6699182406","https://openalex.org/W6737981366"],"related_works":["https://openalex.org/W4365519294","https://openalex.org/W3031187173","https://openalex.org/W3135436127","https://openalex.org/W2805647211","https://openalex.org/W2100930849","https://openalex.org/W2557139663","https://openalex.org/W2073249509","https://openalex.org/W2481378124","https://openalex.org/W1980267738","https://openalex.org/W3179181153"],"abstract_inverted_index":{"It":[0],"is":[1,107],"a":[2,62],"fact":[3],"that":[4,21,72,117],"human":[5],"emotions":[6,74,134],"are":[7],"expressed":[8],"in":[9],"the":[10,16,28,38,55,101,111,118,127],"voice":[11],"as":[12,14,47,49,76],"well":[13,48],"on":[15],"face.":[17],"Early":[18],"studies":[19],"showed":[20,71],"combining":[22],"these":[23],"two":[24],"modalities":[25],"could":[26,80],"improve":[27],"recognition":[29,45,68,95,102,128],"accuracy.":[30],"In":[31],"this":[32],"paper":[33],"we":[34],"have":[35,115],"extensively":[36],"researched":[37],"available":[39],"audio":[40,56,92],"and":[41,52,58,78,105],"video":[42,59],"based":[43],"emotion":[44,123],"techniques":[46,51],"bimodal":[50],"then":[53],"combined":[54,121],"features":[57,60],"using":[61,91],"rule-based":[63,120],"technique":[64,125],"to":[65,97],"get":[66],"improved":[67],"results.":[69],"Experiments":[70],"negative":[73],"such":[75],"anger":[77],"sadness":[79],"be":[81],"recognized":[82],"from":[83],"each":[84],"other":[85],"with":[86,110],"almost":[87],"100%":[88],"accuracy":[89,99,129],"by":[90],"features.":[93],"Audio-based":[94],"dropped":[96],"93.6%":[98],"if":[100,136],"of":[103,130],"joy":[104],"surprise":[106],"included":[108],"along":[109],"angry":[112],"emotion.":[113],"We":[114],"observed":[116],"proposed":[119],"audiovisual":[122],"detection":[124],"improves":[126],"all":[131],"six":[132],"universal":[133],"even":[135],"considered":[137],"them":[138],"together":[139]},"counts_by_year":[{"year":2023,"cited_by_count":1},{"year":2021,"cited_by_count":2},{"year":2020,"cited_by_count":1},{"year":2018,"cited_by_count":1},{"year":2016,"cited_by_count":3},{"year":2015,"cited_by_count":2},{"year":2012,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}