{"id":"https://openalex.org/W2109624827","doi":"https://doi.org/10.1145/2388676.2388782","title":"A multimodal fuzzy inference system using a continuous facial expression representation for emotion detection","display_name":"A multimodal fuzzy inference system using a continuous facial expression representation for emotion detection","publication_year":2012,"publication_date":"2012-10-22","ids":{"openalex":"https://openalex.org/W2109624827","doi":"https://doi.org/10.1145/2388676.2388782","mag":"2109624827"},"language":"en","primary_location":{"id":"doi:10.1145/2388676.2388782","is_oa":false,"landing_page_url":"https://doi.org/10.1145/2388676.2388782","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 14th ACM international conference on Multimodal interaction","raw_type":"proceedings-article"},"type":"preprint","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/A5027774712","display_name":"Catherine Soladi\u00e9","orcid":"https://orcid.org/0000-0002-1694-4706"},"institutions":[{"id":"https://openalex.org/I102475099","display_name":"Sup\u00e9lec","ror":"https://ror.org/00n7gwn90","country_code":"FR","type":"education","lineage":["https://openalex.org/I102475099"]},{"id":"https://openalex.org/I4210100151","display_name":"Institut d'\u00c9lectronique et des Technologies du num\u00e9Rique","ror":"https://ror.org/013q33h79","country_code":"FR","type":"facility","lineage":["https://openalex.org/I1294671590","https://openalex.org/I1294671590","https://openalex.org/I28221208","https://openalex.org/I4210095849","https://openalex.org/I4210100151","https://openalex.org/I56067802","https://openalex.org/I97188460"]}],"countries":["FR"],"is_corresponding":true,"raw_author_name":"Catherine Soladi\u00e9","raw_affiliation_strings":["SUPELEC/IETR, Cesson Sevigne, France"],"affiliations":[{"raw_affiliation_string":"SUPELEC/IETR, Cesson Sevigne, France","institution_ids":["https://openalex.org/I102475099","https://openalex.org/I4210100151"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5047633471","display_name":"Hanan Salam","orcid":"https://orcid.org/0000-0001-6971-5264"},"institutions":[{"id":"https://openalex.org/I102475099","display_name":"Sup\u00e9lec","ror":"https://ror.org/00n7gwn90","country_code":"FR","type":"education","lineage":["https://openalex.org/I102475099"]},{"id":"https://openalex.org/I4210100151","display_name":"Institut d'\u00c9lectronique et des Technologies du num\u00e9Rique","ror":"https://ror.org/013q33h79","country_code":"FR","type":"facility","lineage":["https://openalex.org/I1294671590","https://openalex.org/I1294671590","https://openalex.org/I28221208","https://openalex.org/I4210095849","https://openalex.org/I4210100151","https://openalex.org/I56067802","https://openalex.org/I97188460"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Hanan Salam","raw_affiliation_strings":["SUPELEC/IETR, Cesson Sevigne, France"],"affiliations":[{"raw_affiliation_string":"SUPELEC/IETR, Cesson Sevigne, France","institution_ids":["https://openalex.org/I102475099","https://openalex.org/I4210100151"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5079026902","display_name":"Catherine P\u00e9lachaud","orcid":"https://orcid.org/0000-0003-1008-0799"},"institutions":[{"id":"https://openalex.org/I1294671590","display_name":"Centre National de la Recherche Scientifique","ror":"https://ror.org/02feahw73","country_code":"FR","type":"government","lineage":["https://openalex.org/I1294671590"]},{"id":"https://openalex.org/I12356871","display_name":"T\u00e9l\u00e9com Paris","ror":"https://ror.org/01naq7912","country_code":"FR","type":"education","lineage":["https://openalex.org/I12356871","https://openalex.org/I205703379","https://openalex.org/I4210145102"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Catherine Pelachaud","raw_affiliation_strings":["CNRS - Telecom ParisTech, Paris, France","CNRS - TELECOM ParisTech, Paris, France#TAB#"],"affiliations":[{"raw_affiliation_string":"CNRS - Telecom ParisTech, Paris, France","institution_ids":["https://openalex.org/I12356871","https://openalex.org/I1294671590"]},{"raw_affiliation_string":"CNRS - TELECOM ParisTech, Paris, France#TAB#","institution_ids":["https://openalex.org/I1294671590","https://openalex.org/I12356871"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5080932250","display_name":"Nicolas Stoiber","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Nicolas Stoiber","raw_affiliation_strings":["Dynamixyz, Rennes, France"],"affiliations":[{"raw_affiliation_string":"Dynamixyz, Rennes, France","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5040347439","display_name":"Renaud S\u00e9guier","orcid":"https://orcid.org/0000-0001-7199-7563"},"institutions":[{"id":"https://openalex.org/I102475099","display_name":"Sup\u00e9lec","ror":"https://ror.org/00n7gwn90","country_code":"FR","type":"education","lineage":["https://openalex.org/I102475099"]},{"id":"https://openalex.org/I4210100151","display_name":"Institut d'\u00c9lectronique et des Technologies du num\u00e9Rique","ror":"https://ror.org/013q33h79","country_code":"FR","type":"facility","lineage":["https://openalex.org/I1294671590","https://openalex.org/I1294671590","https://openalex.org/I28221208","https://openalex.org/I4210095849","https://openalex.org/I4210100151","https://openalex.org/I56067802","https://openalex.org/I97188460"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Renaud S\u00e9guier","raw_affiliation_strings":["SUPELEC/IETR, Cesson Sevigne, France"],"affiliations":[{"raw_affiliation_string":"SUPELEC/IETR, Cesson Sevigne, France","institution_ids":["https://openalex.org/I102475099","https://openalex.org/I4210100151"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5027774712"],"corresponding_institution_ids":["https://openalex.org/I102475099","https://openalex.org/I4210100151"],"apc_list":null,"apc_paid":null,"fwci":4.5915,"has_fulltext":false,"cited_by_count":34,"citation_normalized_percentile":{"value":0.94317109,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"493","last_page":"500"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10667","display_name":"Emotion and Mood Recognition","score":0.9998999834060669,"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":0.9998999834060669,"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/T10057","display_name":"Face and Expression Recognition","score":0.998199999332428,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"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/T11707","display_name":"Gaze Tracking and Assistive Technology","score":0.9926000237464905,"subfield":{"id":"https://openalex.org/subfields/1709","display_name":"Human-Computer Interaction"},"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/facial-expression","display_name":"Facial expression","score":0.8179138898849487},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6505461931228638},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6281661987304688},{"id":"https://openalex.org/keywords/inference","display_name":"Inference","score":0.4822552800178528},{"id":"https://openalex.org/keywords/face-detection","display_name":"Face detection","score":0.4815250039100647},{"id":"https://openalex.org/keywords/arousal","display_name":"Arousal","score":0.4546830654144287},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.44035103917121887},{"id":"https://openalex.org/keywords/facial-action-coding-system","display_name":"Facial Action Coding System","score":0.4327073097229004},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4223136305809021},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.3806312382221222},{"id":"https://openalex.org/keywords/facial-recognition-system","display_name":"Facial recognition system","score":0.3111414611339569},{"id":"https://openalex.org/keywords/psychology","display_name":"Psychology","score":0.1813233494758606}],"concepts":[{"id":"https://openalex.org/C195704467","wikidata":"https://www.wikidata.org/wiki/Q327968","display_name":"Facial expression","level":2,"score":0.8179138898849487},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6505461931228638},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6281661987304688},{"id":"https://openalex.org/C2776214188","wikidata":"https://www.wikidata.org/wiki/Q408386","display_name":"Inference","level":2,"score":0.4822552800178528},{"id":"https://openalex.org/C4641261","wikidata":"https://www.wikidata.org/wiki/Q11681085","display_name":"Face detection","level":4,"score":0.4815250039100647},{"id":"https://openalex.org/C36951298","wikidata":"https://www.wikidata.org/wiki/Q379784","display_name":"Arousal","level":2,"score":0.4546830654144287},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.44035103917121887},{"id":"https://openalex.org/C40346341","wikidata":"https://www.wikidata.org/wiki/Q1391629","display_name":"Facial Action Coding System","level":3,"score":0.4327073097229004},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4223136305809021},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.3806312382221222},{"id":"https://openalex.org/C31510193","wikidata":"https://www.wikidata.org/wiki/Q1192553","display_name":"Facial recognition system","level":3,"score":0.3111414611339569},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.1813233494758606},{"id":"https://openalex.org/C169760540","wikidata":"https://www.wikidata.org/wiki/Q207011","display_name":"Neuroscience","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1145/2388676.2388782","is_oa":false,"landing_page_url":"https://doi.org/10.1145/2388676.2388782","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 14th ACM international conference on Multimodal interaction","raw_type":"proceedings-article"},{"id":"pmh:oai:HAL:hal-00771404v1","is_oa":false,"landing_page_url":"https://centralesupelec.hal.science/hal-00771404","pdf_url":null,"source":{"id":"https://openalex.org/S4306402512","display_name":"HAL (Le Centre pour la Communication Scientifique Directe)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1294671590","host_organization_name":"Centre National de la Recherche Scientifique","host_organization_lineage":["https://openalex.org/I1294671590"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"ICMI '12, Oct 2012, Santa-Monica, United States. pp.493-500, &#x27E8;10.1145/2388676.2388782&#x27E9;","raw_type":"Conference papers"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320320883","display_name":"Agence Nationale de la Recherche","ror":"https://ror.org/00rbzpz17"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":39,"referenced_works":["https://openalex.org/W1261896931","https://openalex.org/W1554981240","https://openalex.org/W1582066090","https://openalex.org/W1987030537","https://openalex.org/W1992176519","https://openalex.org/W1992280180","https://openalex.org/W2031436223","https://openalex.org/W2032254851","https://openalex.org/W2033773055","https://openalex.org/W2048747516","https://openalex.org/W2080830759","https://openalex.org/W2090495691","https://openalex.org/W2092206588","https://openalex.org/W2094654793","https://openalex.org/W2095578028","https://openalex.org/W2102985871","https://openalex.org/W2110673279","https://openalex.org/W2115135068","https://openalex.org/W2123569028","https://openalex.org/W2125127226","https://openalex.org/W2129106196","https://openalex.org/W2130162821","https://openalex.org/W2135776491","https://openalex.org/W2142653084","https://openalex.org/W2143350951","https://openalex.org/W2148071321","https://openalex.org/W2152826865","https://openalex.org/W2156503193","https://openalex.org/W2156516654","https://openalex.org/W2156848952","https://openalex.org/W2163685610","https://openalex.org/W2402955625","https://openalex.org/W2995034616","https://openalex.org/W4237495030","https://openalex.org/W4285719527","https://openalex.org/W6633342549","https://openalex.org/W6658763656","https://openalex.org/W6807922269","https://openalex.org/W7037509055"],"related_works":["https://openalex.org/W2012415311","https://openalex.org/W1998708415","https://openalex.org/W3169168314","https://openalex.org/W2627086084","https://openalex.org/W2130087906","https://openalex.org/W2023657742","https://openalex.org/W2953116087","https://openalex.org/W3153565281","https://openalex.org/W2049699482","https://openalex.org/W2081749143"],"abstract_inverted_index":{"This":[0],"paper":[1],"presents":[2],"a":[3,58,64,103,143,152],"multimodal":[4],"fuzzy":[5],"inference":[6],"system":[7,12,47],"for":[8,121,185],"emotion":[9,41,157],"detection.":[10,42,197],"The":[11,22,156,169,198],"extracts":[13],"and":[14,18,74,131,167,189,203],"merges":[15],"visual,":[16],"acoustic":[17],"context":[19,208],"relevant":[20],"features.":[21],"experiments":[23],"have":[24],"been":[25],"performed":[26,147],"as":[27],"part":[28],"of":[29,71,82,92,94,102,137,175],"the":[30,69,72,95,134,138,161,173],"AVEC":[31],"2012":[32],"challenge.":[33],"Facial":[34],"expressions":[35,52,91,118],"play":[36],"an":[37,45,79,180],"important":[38],"role":[39],"in":[40,142,148,160,201],"However,":[43],"having":[44],"automatic":[46],"to":[48,68,112,194],"detect":[49],"facial":[50,83],"emotional":[51],"on":[53,78,88,128,133],"unknown":[54],"subjects":[55,130],"is":[56,76,106,146,158,179,183],"still":[57],"challenging":[59],"problem.":[60],"Here,":[61],"we":[62],"propose":[63],"method":[65,86],"that":[66,75,172,182],"adapts":[67],"morphology":[70],"subject":[73,123],"based":[77],"invariant":[80],"representation":[81],"expressions.":[84,115],"Our":[85],"relies":[87],"8":[89,114,117],"key":[90],"emotions":[93],"subject.":[96,139],"In":[97],"our":[98],"system,":[99],"each":[100,122],"image":[101],"video":[104,144],"sequence":[105,145],"defined":[107],"by":[108,207],"its":[109],"relative":[110],"position":[111],"these":[113],"These":[116],"are":[119,205],"synthesized":[120],"from":[124],"plausible":[125],"distortions":[126],"learnt":[127],"other":[129],"transferred":[132],"neutral":[135],"face":[136],"Expression":[140],"recognition":[141],"this":[149],"space":[150],"with":[151],"basic":[153],"intensity-area":[154],"detector.":[155],"described":[159],"4":[162],"dimensions:":[163],"valence,":[164],"arousal,":[165],"power":[166,202],"expectancy.":[168],"results":[170],"show":[171],"duration":[174],"high":[176],"intensity":[177],"smile":[178],"expression":[181],"meaningful":[184],"continuous":[186],"valence":[187],"detection":[188],"can":[190],"also":[191],"be":[192],"used":[193],"improve":[195],"arousal":[196],"main":[199],"variations":[200],"expectancy":[204],"given":[206],"data.":[209]},"counts_by_year":[{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":3},{"year":2022,"cited_by_count":1},{"year":2020,"cited_by_count":1},{"year":2019,"cited_by_count":3},{"year":2017,"cited_by_count":5},{"year":2016,"cited_by_count":3},{"year":2015,"cited_by_count":5},{"year":2014,"cited_by_count":6},{"year":2013,"cited_by_count":5}],"updated_date":"2026-03-10T16:38:18.471706","created_date":"2025-10-10T00:00:00"}
