{"id":"https://openalex.org/W2767587627","doi":"https://doi.org/10.1145/3136755.3136770","title":"Multimodal gender detection","display_name":"Multimodal gender detection","publication_year":2017,"publication_date":"2017-11-03","ids":{"openalex":"https://openalex.org/W2767587627","doi":"https://doi.org/10.1145/3136755.3136770","mag":"2767587627"},"language":"en","primary_location":{"id":"doi:10.1145/3136755.3136770","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3136755.3136770","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 19th ACM International Conference on Multimodal Interaction","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/A5020093775","display_name":"Mohamed Abouelenien","orcid":"https://orcid.org/0000-0001-5351-5778"},"institutions":[{"id":"https://openalex.org/I27837315","display_name":"University of Michigan\u2013Ann Arbor","ror":"https://ror.org/00jmfr291","country_code":"US","type":"education","lineage":["https://openalex.org/I27837315"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Mohamed Abouelenien","raw_affiliation_strings":["University of Michigan, USA"],"affiliations":[{"raw_affiliation_string":"University of Michigan, USA","institution_ids":["https://openalex.org/I27837315"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5007955173","display_name":"Ver\u00f3nica P\u00e9rez\u2010Rosas","orcid":"https://orcid.org/0000-0003-0581-2334"},"institutions":[{"id":"https://openalex.org/I27837315","display_name":"University of Michigan\u2013Ann Arbor","ror":"https://ror.org/00jmfr291","country_code":"US","type":"education","lineage":["https://openalex.org/I27837315"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Ver\u00f3nica P\u00e9rez-Rosas","raw_affiliation_strings":["University of Michigan, USA"],"affiliations":[{"raw_affiliation_string":"University of Michigan, USA","institution_ids":["https://openalex.org/I27837315"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5082450455","display_name":"Rada Mihalcea","orcid":"https://orcid.org/0000-0002-0767-6703"},"institutions":[{"id":"https://openalex.org/I27837315","display_name":"University of Michigan\u2013Ann Arbor","ror":"https://ror.org/00jmfr291","country_code":"US","type":"education","lineage":["https://openalex.org/I27837315"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Rada Mihalcea","raw_affiliation_strings":["University of Michigan, USA"],"affiliations":[{"raw_affiliation_string":"University of Michigan, USA","institution_ids":["https://openalex.org/I27837315"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5070726773","display_name":"Mihai Burzo","orcid":"https://orcid.org/0000-0002-3968-7343"},"institutions":[{"id":"https://openalex.org/I27837315","display_name":"University of Michigan\u2013Ann Arbor","ror":"https://ror.org/00jmfr291","country_code":"US","type":"education","lineage":["https://openalex.org/I27837315"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Mihai Burzo","raw_affiliation_strings":["University of Michigan, USA"],"affiliations":[{"raw_affiliation_string":"University of Michigan, USA","institution_ids":["https://openalex.org/I27837315"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5020093775"],"corresponding_institution_ids":["https://openalex.org/I27837315"],"apc_list":null,"apc_paid":null,"fwci":3.0467,"has_fulltext":false,"cited_by_count":23,"citation_normalized_percentile":{"value":0.91376086,"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":"302","last_page":"311"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10667","display_name":"Emotion and Mood Recognition","score":0.982699990272522,"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":0.982699990272522,"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/T11309","display_name":"Music and Audio Processing","score":0.954800009727478,"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/T11800","display_name":"User Authentication and Security Systems","score":0.9538000226020813,"subfield":{"id":"https://openalex.org/subfields/1710","display_name":"Information Systems"},"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/modalities","display_name":"Modalities","score":0.8085601329803467},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6824181079864502},{"id":"https://openalex.org/keywords/thermography","display_name":"Thermography","score":0.5760629773139954},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.5322990417480469},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.4781038165092468},{"id":"https://openalex.org/keywords/modality","display_name":"Modality (human\u2013computer interaction)","score":0.4563409090042114},{"id":"https://openalex.org/keywords/multimodality","display_name":"Multimodality","score":0.43634408712387085},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.42333534359931946},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.4132160544395447},{"id":"https://openalex.org/keywords/human\u2013computer-interaction","display_name":"Human\u2013computer interaction","score":0.35340815782546997},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.08145216107368469}],"concepts":[{"id":"https://openalex.org/C2779903281","wikidata":"https://www.wikidata.org/wiki/Q6888026","display_name":"Modalities","level":2,"score":0.8085601329803467},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6824181079864502},{"id":"https://openalex.org/C2779222261","wikidata":"https://www.wikidata.org/wiki/Q624587","display_name":"Thermography","level":3,"score":0.5760629773139954},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.5322990417480469},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.4781038165092468},{"id":"https://openalex.org/C2780226545","wikidata":"https://www.wikidata.org/wiki/Q6888030","display_name":"Modality (human\u2013computer interaction)","level":2,"score":0.4563409090042114},{"id":"https://openalex.org/C2780910867","wikidata":"https://www.wikidata.org/wiki/Q1952416","display_name":"Multimodality","level":2,"score":0.43634408712387085},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.42333534359931946},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.4132160544395447},{"id":"https://openalex.org/C107457646","wikidata":"https://www.wikidata.org/wiki/Q207434","display_name":"Human\u2013computer interaction","level":1,"score":0.35340815782546997},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.08145216107368469},{"id":"https://openalex.org/C120665830","wikidata":"https://www.wikidata.org/wiki/Q14620","display_name":"Optics","level":1,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","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},{"id":"https://openalex.org/C144024400","wikidata":"https://www.wikidata.org/wiki/Q21201","display_name":"Sociology","level":0,"score":0.0},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.0},{"id":"https://openalex.org/C158355884","wikidata":"https://www.wikidata.org/wiki/Q11388","display_name":"Infrared","level":2,"score":0.0},{"id":"https://openalex.org/C201995342","wikidata":"https://www.wikidata.org/wiki/Q682496","display_name":"Systems engineering","level":1,"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:10.1145/3136755.3136770","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3136755.3136770","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 19th ACM International Conference on Multimodal Interaction","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Quality Education","id":"https://metadata.un.org/sdg/4","score":0.6100000143051147}],"awards":[],"funders":[{"id":"https://openalex.org/F4320306076","display_name":"National Science Foundation","ror":"https://ror.org/021nxhr62"},{"id":"https://openalex.org/F4320332180","display_name":"Defense Advanced Research Projects Agency","ror":"https://ror.org/02caytj08"},{"id":"https://openalex.org/F4320333858","display_name":"Michigan Institute for Data Science, University of Michigan","ror":null}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":48,"referenced_works":["https://openalex.org/W9292421","https://openalex.org/W172168340","https://openalex.org/W176729393","https://openalex.org/W1589339348","https://openalex.org/W1759745650","https://openalex.org/W1782590233","https://openalex.org/W1867186289","https://openalex.org/W1905153633","https://openalex.org/W1906370142","https://openalex.org/W1917369833","https://openalex.org/W1971020201","https://openalex.org/W1997011019","https://openalex.org/W2013645463","https://openalex.org/W2032793012","https://openalex.org/W2033819227","https://openalex.org/W2034821857","https://openalex.org/W2035366352","https://openalex.org/W2040174334","https://openalex.org/W2042485636","https://openalex.org/W2049380974","https://openalex.org/W2060972220","https://openalex.org/W2061444805","https://openalex.org/W2087097103","https://openalex.org/W2125615169","https://openalex.org/W2128292157","https://openalex.org/W2134803540","https://openalex.org/W2135417054","https://openalex.org/W2139621418","https://openalex.org/W2139875525","https://openalex.org/W2149389315","https://openalex.org/W2149494055","https://openalex.org/W2156908162","https://openalex.org/W2158617780","https://openalex.org/W2163688055","https://openalex.org/W2167342253","https://openalex.org/W2167854178","https://openalex.org/W2170637665","https://openalex.org/W2237515533","https://openalex.org/W2259894667","https://openalex.org/W2489406233","https://openalex.org/W2492342376","https://openalex.org/W2508110112","https://openalex.org/W2564068158","https://openalex.org/W2942992487","https://openalex.org/W3097096317","https://openalex.org/W4212801514","https://openalex.org/W4234333737","https://openalex.org/W4248267358"],"related_works":["https://openalex.org/W2248852396","https://openalex.org/W73545470","https://openalex.org/W199123384","https://openalex.org/W4239305747","https://openalex.org/W4224266612","https://openalex.org/W2383394264","https://openalex.org/W4320153225","https://openalex.org/W4293261942","https://openalex.org/W3125968744","https://openalex.org/W203959209"],"abstract_inverted_index":{"Automatic":[0],"gender":[1,25,95,116,129],"classification":[2,26],"is":[3,173],"receiving":[4],"increasing":[5],"attention":[6],"in":[7],"the":[8,13,39,94,125,136],"computer":[9],"interaction":[10],"community":[11],"as":[12,143],"need":[14],"for":[15,163],"personalized,":[16],"reliable,":[17],"and":[18,33,51,63,68,82,100,108],"ethical":[19,190],"systems":[20,27,44,149],"arises.":[21],"To":[22],"date,":[23],"most":[24],"have":[28],"been":[29],"evaluated":[30],"on":[31,153],"textual":[32],"audiovisual":[34,177],"sources.":[35],"This":[36,158],"work":[37],"explores":[38],"possibility":[40],"of":[41,60,66,89,127,138],"enhancing":[42],"such":[43,142],"with":[45],"physiological":[46,52,64,107,140],"cues":[47],"obtained":[48],"from":[49,73],"thermography":[50,144],"sensor":[53],"readings.":[54],"Using":[55],"a":[56,87],"multimodal":[57],"dataset":[58],"consisting":[59],"audiovisual,":[61],"thermal,":[62,81],"recordings":[65],"males":[67],"females,":[69],"we":[70,92,133],"extract":[71],"features":[72],"five":[74],"different":[75],"modalities,":[76],"namely":[77],"acoustic,":[78],"linguistic,":[79],"visual,":[80],"physiological.":[83],"We":[84],"then":[85],"conduct":[86],"set":[88],"experiments":[90],"where":[91,165],"explore":[93],"prediction":[96,130],"task":[97],"using":[98],"single":[99],"combined":[101],"modalities.":[102],"Experimental":[103],"results":[104],"suggest":[105],"that":[106,135,150],"thermal":[109],"information":[110],"can":[111,146,159],"be":[112,160],"used":[113],"to":[114,124,189],"recognize":[115],"at":[117],"reasonable":[118],"accuracy":[119,126],"levels,":[120],"which":[121],"are":[122,151,168,185],"comparable":[123],"current":[128,148],"systems.":[131],"Furthermore,":[132],"show":[134],"use":[137],"non-contact":[139,166],"measurements,":[141],"readings,":[145],"enhance":[147],"based":[152],"audio":[154],"or":[155,179,182],"visual":[156],"input.":[157],"particularly":[161],"useful":[162],"scenarios":[164],"approaches":[167],"preferred,":[169],"i.e.,":[170],"when":[171,180],"data":[172,184],"captured":[174],"under":[175],"noisy":[176],"conditions":[178],"video":[181],"speech":[183],"not":[186],"available":[187],"due":[188],"considerations.":[191]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":3},{"year":2021,"cited_by_count":3},{"year":2020,"cited_by_count":8},{"year":2019,"cited_by_count":4},{"year":2018,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}