{"id":"https://openalex.org/W2301789900","doi":"https://doi.org/10.1109/tmm.2016.2523421","title":"Learning Personalized Models for Facial Expression Analysis and Gesture Recognition","display_name":"Learning Personalized Models for Facial Expression Analysis and Gesture Recognition","publication_year":2016,"publication_date":"2016-01-28","ids":{"openalex":"https://openalex.org/W2301789900","doi":"https://doi.org/10.1109/tmm.2016.2523421","mag":"2301789900"},"language":"en","primary_location":{"id":"doi:10.1109/tmm.2016.2523421","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tmm.2016.2523421","pdf_url":null,"source":{"id":"https://openalex.org/S137030581","display_name":"IEEE Transactions on Multimedia","issn_l":"1520-9210","issn":["1520-9210","1941-0077"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Multimedia","raw_type":"journal-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://iris.unitn.it/bitstream/11572/148075/6/Learning%20Personalized%20Models-TMM2016-1.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5000640231","display_name":"Gloria Zen","orcid":"https://orcid.org/0000-0001-6271-5915"},"institutions":[{"id":"https://openalex.org/I193223587","display_name":"University of Trento","ror":"https://ror.org/05trd4x28","country_code":"IT","type":"education","lineage":["https://openalex.org/I193223587"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Gloria Zen","raw_affiliation_strings":["Department of Information Engineering and Computer Science, University of Trento, Trento, Italy"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Information Engineering and Computer Science, University of Trento, Trento, Italy","institution_ids":["https://openalex.org/I193223587"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5082732256","display_name":"Lorenzo Porzi","orcid":"https://orcid.org/0000-0001-9331-2908"},"institutions":[{"id":"https://openalex.org/I2277624104","display_name":"Fondazione Bruno Kessler","ror":"https://ror.org/01j33xk10","country_code":"IT","type":"facility","lineage":["https://openalex.org/I2277624104"]},{"id":"https://openalex.org/I27483092","display_name":"University of Perugia","ror":"https://ror.org/00x27da85","country_code":"IT","type":"education","lineage":["https://openalex.org/I27483092"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Lorenzo Porzi","raw_affiliation_strings":["Department of Engineering, University of Perugia, Perugia, Italy","TeV, Fondazione Bruno Kessler, Trento, Italy"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Engineering, University of Perugia, Perugia, Italy","institution_ids":["https://openalex.org/I27483092"]},{"raw_affiliation_string":"TeV, Fondazione Bruno Kessler, Trento, Italy","institution_ids":["https://openalex.org/I2277624104"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5024183744","display_name":"Enver Sangineto","orcid":"https://orcid.org/0000-0002-5187-4133"},"institutions":[{"id":"https://openalex.org/I193223587","display_name":"University of Trento","ror":"https://ror.org/05trd4x28","country_code":"IT","type":"education","lineage":["https://openalex.org/I193223587"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Enver Sangineto","raw_affiliation_strings":["Department of Information Engineering and Computer Science, University of Trento, Trento, Italy"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Information Engineering and Computer Science, University of Trento, Trento, Italy","institution_ids":["https://openalex.org/I193223587"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5065059558","display_name":"Elisa Ricci","orcid":"https://orcid.org/0000-0002-0228-1147"},"institutions":[{"id":"https://openalex.org/I2277624104","display_name":"Fondazione Bruno Kessler","ror":"https://ror.org/01j33xk10","country_code":"IT","type":"facility","lineage":["https://openalex.org/I2277624104"]},{"id":"https://openalex.org/I27483092","display_name":"University of Perugia","ror":"https://ror.org/00x27da85","country_code":"IT","type":"education","lineage":["https://openalex.org/I27483092"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Elisa Ricci","raw_affiliation_strings":["Department of Engineering, University of Perugia, Perugia, Italy","TeV, Fondazione Bruno Kessler, Trento, Italy"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Engineering, University of Perugia, Perugia, Italy","institution_ids":["https://openalex.org/I27483092"]},{"raw_affiliation_string":"TeV, Fondazione Bruno Kessler, Trento, Italy","institution_ids":["https://openalex.org/I2277624104"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5027171279","display_name":"Nicu Sebe","orcid":"https://orcid.org/0000-0002-6597-7248"},"institutions":[{"id":"https://openalex.org/I193223587","display_name":"University of Trento","ror":"https://ror.org/05trd4x28","country_code":"IT","type":"education","lineage":["https://openalex.org/I193223587"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Nicu Sebe","raw_affiliation_strings":["Department of Information Engineering and Computer Science, University of Trento, Trento, Italy"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Information Engineering and Computer Science, University of Trento, Trento, Italy","institution_ids":["https://openalex.org/I193223587"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":14.5293,"has_fulltext":true,"cited_by_count":89,"citation_normalized_percentile":{"value":0.99126942,"is_in_top_1_percent":true,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":94,"max":100},"biblio":{"volume":"18","issue":"4","first_page":"775","last_page":"788"},"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/T10812","display_name":"Human Pose and Action Recognition","score":0.9979000091552734,"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/T10057","display_name":"Face and Expression Recognition","score":0.9970999956130981,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8393494486808777},{"id":"https://openalex.org/keywords/gesture","display_name":"Gesture","score":0.6467702984809875},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6114592552185059},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.6092730760574341},{"id":"https://openalex.org/keywords/facial-expression","display_name":"Facial expression","score":0.5967797040939331},{"id":"https://openalex.org/keywords/gesture-recognition","display_name":"Gesture recognition","score":0.5382214784622192},{"id":"https://openalex.org/keywords/generality","display_name":"Generality","score":0.5285995006561279},{"id":"https://openalex.org/keywords/personalization","display_name":"Personalization","score":0.47296494245529175},{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"Support vector machine","score":0.46198850870132446},{"id":"https://openalex.org/keywords/expression","display_name":"Expression (computer science)","score":0.4183717668056488},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3473675847053528}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8393494486808777},{"id":"https://openalex.org/C207347870","wikidata":"https://www.wikidata.org/wiki/Q371174","display_name":"Gesture","level":2,"score":0.6467702984809875},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6114592552185059},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.6092730760574341},{"id":"https://openalex.org/C195704467","wikidata":"https://www.wikidata.org/wiki/Q327968","display_name":"Facial expression","level":2,"score":0.5967797040939331},{"id":"https://openalex.org/C159437735","wikidata":"https://www.wikidata.org/wiki/Q1519524","display_name":"Gesture recognition","level":3,"score":0.5382214784622192},{"id":"https://openalex.org/C2780767217","wikidata":"https://www.wikidata.org/wiki/Q5532421","display_name":"Generality","level":2,"score":0.5285995006561279},{"id":"https://openalex.org/C183003079","wikidata":"https://www.wikidata.org/wiki/Q1000371","display_name":"Personalization","level":2,"score":0.47296494245529175},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.46198850870132446},{"id":"https://openalex.org/C90559484","wikidata":"https://www.wikidata.org/wiki/Q778379","display_name":"Expression (computer science)","level":2,"score":0.4183717668056488},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3473675847053528},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.0},{"id":"https://openalex.org/C542102704","wikidata":"https://www.wikidata.org/wiki/Q183257","display_name":"Psychotherapist","level":1,"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/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0}],"mesh":[],"locations_count":4,"locations":[{"id":"doi:10.1109/tmm.2016.2523421","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tmm.2016.2523421","pdf_url":null,"source":{"id":"https://openalex.org/S137030581","display_name":"IEEE Transactions on Multimedia","issn_l":"1520-9210","issn":["1520-9210","1941-0077"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Multimedia","raw_type":"journal-article"},{"id":"pmh:oai:iris.unitn.it:11572/148075","is_oa":true,"landing_page_url":"http://hdl.handle.net/11572/148075","pdf_url":"https://iris.unitn.it/bitstream/11572/148075/6/Learning%20Personalized%20Models-TMM2016-1.pdf","source":{"id":"https://openalex.org/S4377196320","display_name":"Iris (University of Trento)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I193223587","host_organization_name":"University of Trento","host_organization_lineage":["https://openalex.org/I193223587"],"host_organization_lineage_names":[],"type":"repository"},"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"info:eu-repo/semantics/article"},{"id":"pmh:oai:iris.unimore.it:11380/1264557","is_oa":true,"landing_page_url":"http://hdl.handle.net/11380/1264557","pdf_url":null,"source":{"id":"https://openalex.org/S4306400718","display_name":"IRIS UNIMORE (University of Modena and Reggio Emilia)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I122346577","host_organization_name":"University of Modena and Reggio Emilia","host_organization_lineage":["https://openalex.org/I122346577"],"host_organization_lineage_names":[],"type":"repository"},"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"info:eu-repo/semantics/article"},{"id":"pmh:oai:zenodo.org:3499136","is_oa":true,"landing_page_url":"https://zenodo.org/record/3499136","pdf_url":null,"source":{"id":"https://openalex.org/S4306400562","display_name":"Zenodo (CERN European Organization for Nuclear Research)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I67311998","host_organization_name":"European Organization for Nuclear Research","host_organization_lineage":["https://openalex.org/I67311998"],"host_organization_lineage_names":[],"type":"repository"},"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"info:eu-repo/semantics/article"}],"best_oa_location":{"id":"pmh:oai:iris.unitn.it:11572/148075","is_oa":true,"landing_page_url":"http://hdl.handle.net/11572/148075","pdf_url":"https://iris.unitn.it/bitstream/11572/148075/6/Learning%20Personalized%20Models-TMM2016-1.pdf","source":{"id":"https://openalex.org/S4377196320","display_name":"Iris (University of Trento)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I193223587","host_organization_name":"University of Trento","host_organization_lineage":["https://openalex.org/I193223587"],"host_organization_lineage_names":[],"type":"repository"},"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"info:eu-repo/semantics/article"},"sustainable_development_goals":[{"display_name":"Gender equality","id":"https://metadata.un.org/sdg/5","score":0.5299999713897705}],"awards":[],"funders":[],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2301789900.pdf","grobid_xml":"https://content.openalex.org/works/W2301789900.grobid-xml"},"referenced_works_count":58,"referenced_works":["https://openalex.org/W123476658","https://openalex.org/W1552665206","https://openalex.org/W1898424075","https://openalex.org/W1905307128","https://openalex.org/W1996337501","https://openalex.org/W2000613743","https://openalex.org/W2003823024","https://openalex.org/W2005821740","https://openalex.org/W2008635359","https://openalex.org/W2014208121","https://openalex.org/W2014987111","https://openalex.org/W2026654389","https://openalex.org/W2027631712","https://openalex.org/W2029847666","https://openalex.org/W2061887386","https://openalex.org/W2067964575","https://openalex.org/W2074652467","https://openalex.org/W2076195881","https://openalex.org/W2090213288","https://openalex.org/W2094077339","https://openalex.org/W2103943262","https://openalex.org/W2106043670","https://openalex.org/W2107008379","https://openalex.org/W2112628161","https://openalex.org/W2117154949","https://openalex.org/W2120354757","https://openalex.org/W2121571281","https://openalex.org/W2122361883","https://openalex.org/W2126151240","https://openalex.org/W2129106196","https://openalex.org/W2131462465","https://openalex.org/W2137226992","https://openalex.org/W2143668817","https://openalex.org/W2147238549","https://openalex.org/W2148071321","https://openalex.org/W2156503193","https://openalex.org/W2157032359","https://openalex.org/W2159570078","https://openalex.org/W2162421262","https://openalex.org/W2163708240","https://openalex.org/W2163808566","https://openalex.org/W2165698076","https://openalex.org/W2166473218","https://openalex.org/W2170607218","https://openalex.org/W2396440399","https://openalex.org/W3143107425","https://openalex.org/W4255601674","https://openalex.org/W6604957493","https://openalex.org/W6633181914","https://openalex.org/W6639352576","https://openalex.org/W6639835855","https://openalex.org/W6676132248","https://openalex.org/W6677328822","https://openalex.org/W6677906469","https://openalex.org/W6678977525","https://openalex.org/W6680532697","https://openalex.org/W6684116732","https://openalex.org/W6712257745"],"related_works":["https://openalex.org/W4206297952","https://openalex.org/W2902873204","https://openalex.org/W2185750513","https://openalex.org/W4312416068","https://openalex.org/W3147379364","https://openalex.org/W2010878661","https://openalex.org/W2026258298","https://openalex.org/W3204639664","https://openalex.org/W2970836791","https://openalex.org/W2805039731"],"abstract_inverted_index":{"Facial":[0],"expression":[1],"and":[2,26,60,63,84,103,154,195,202,221,236,245],"gesture":[3],"recognition":[4,194],"algorithms":[5],"are":[6,43],"key":[7],"enabling":[8],"technologies":[9],"for":[10,20,45,93,113],"human-computer":[11],"interaction":[12],"(HCI)":[13],"systems.":[14],"State":[15],"of":[16,23,40,90,156,211,229,234],"the":[17,46,50,148,157,167,175,181,187,209,227],"art":[18],"approaches":[19,244],"automatic":[21],"detection":[22,198],"body":[24],"movements":[25],"analyzing":[27],"emotions":[28],"from":[29],"facial":[30],"features":[31],"heavily":[32],"rely":[33],"on":[34],"advanced":[35],"machine":[36],"learning":[37,81,132],"algorithms.":[38],"Most":[39],"these":[41],"methods":[42],"designed":[44],"average":[47],"user,":[48,166],"but":[49],"assumption":[51],"\u201cone-size-fits-all\u201d":[52],"ignores":[53],"diversity":[54],"in":[55,67,106,190,232],"cultural":[56],"background,":[57],"gender,":[58],"ethnicity,":[59],"personal":[61],"behavior,":[62],"limits":[64],"their":[65],"applicability":[66],"real-world":[68],"scenarios.":[69],"A":[70],"possible":[71],"solution":[72],"is":[73,100,125,170],"to":[74,146,216,242,246],"build":[75],"personalized":[76],"interfaces,":[77],"which":[78,117,140],"practically":[79],"implies":[80],"person-specific":[82,151],"classifiers":[83],"usually":[85],"collecting":[86],"a":[87,101,111,129,137,163],"significant":[88],"amount":[89],"labeled":[91,121],"samples":[92],"each":[94],"novel":[95,130],"user.":[96],"As":[97],"data":[98,145,201,219],"annotation":[99],"tedious":[102],"time-consuming":[104],"process,":[105],"this":[107],"paper":[108],"we":[109,135],"present":[110],"framework":[112,139],"personalizing":[114],"classification":[115,168,204],"models":[116],"does":[118],"not":[119],"require":[120],"target":[122,165],"data.":[123],"Personalization":[124],"achieved":[126],"by":[127,172],"devising":[128],"transfer":[131],"approach.":[133],"Specifically,":[134],"propose":[136],"regression":[138,183],"exploits":[141],"auxiliary":[142],"(source)":[143],"annotated":[144],"learn":[147],"relation":[149],"between":[150],"sample":[152,178],"distributions":[153],"parameters":[155],"corresponding":[158],"classifiers.":[159,223],"Then,":[160],"when":[161],"considering":[162],"new":[164],"model":[169],"computed":[171],"simply":[173],"feeding":[174],"associated":[176],"(unlabeled)":[177],"distribution":[179],"into":[180],"learned":[182],"function.":[184],"We":[185,224],"evaluate":[186],"proposed":[188],"approach":[189,231],"different":[191,217],"applications:":[192],"pain":[193],"action":[196],"unit":[197],"using":[199,205],"visual":[200],"gestures":[203],"inertial":[206],"measurements,":[207],"demonstrating":[208],"generality":[210],"our":[212,230],"method":[213],"with":[214,240],"respect":[215,241],"input":[218],"types":[220],"basic":[222],"also":[225],"show":[226],"advantages":[228],"terms":[233],"accuracy":[235],"computational":[237],"time":[238],"both":[239],"user-independent":[243],"previous":[247],"personalization":[248],"techniques.":[249]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":4},{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":7},{"year":2022,"cited_by_count":8},{"year":2021,"cited_by_count":5},{"year":2020,"cited_by_count":17},{"year":2019,"cited_by_count":9},{"year":2018,"cited_by_count":22},{"year":2017,"cited_by_count":12},{"year":2016,"cited_by_count":2}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}