{"id":"https://openalex.org/W2167516569","doi":"https://doi.org/10.1145/1877826.1877835","title":"Synthesizing expressions using facial feature point tracking","display_name":"Synthesizing expressions using facial feature point tracking","publication_year":2010,"publication_date":"2010-10-29","ids":{"openalex":"https://openalex.org/W2167516569","doi":"https://doi.org/10.1145/1877826.1877835","mag":"2167516569"},"language":"en","primary_location":{"id":"doi:10.1145/1877826.1877835","is_oa":false,"landing_page_url":"https://doi.org/10.1145/1877826.1877835","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 3rd international workshop on Affective interaction in natural environments","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/A5058610902","display_name":"Tadas Baltru\u0161aitis","orcid":"https://orcid.org/0000-0001-7923-8780"},"institutions":[{"id":"https://openalex.org/I241749","display_name":"University of Cambridge","ror":"https://ror.org/013meh722","country_code":"GB","type":"education","lineage":["https://openalex.org/I241749"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Tadas Baltru\u0161aitis","raw_affiliation_strings":["University of Cambridge, Cambridge, United Kingdom"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Cambridge, Cambridge, United Kingdom","institution_ids":["https://openalex.org/I241749"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5081177736","display_name":"Laurel D. Riek","orcid":"https://orcid.org/0000-0001-7906-6691"},"institutions":[{"id":"https://openalex.org/I241749","display_name":"University of Cambridge","ror":"https://ror.org/013meh722","country_code":"GB","type":"education","lineage":["https://openalex.org/I241749"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Laurel D. Riek","raw_affiliation_strings":["University of Cambridge, Cambridge, United Kingdom"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Cambridge, Cambridge, United Kingdom","institution_ids":["https://openalex.org/I241749"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5103077811","display_name":"Peter Robinson","orcid":"https://orcid.org/0000-0003-0347-3789"},"institutions":[{"id":"https://openalex.org/I241749","display_name":"University of Cambridge","ror":"https://ror.org/013meh722","country_code":"GB","type":"education","lineage":["https://openalex.org/I241749"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Peter Robinson","raw_affiliation_strings":["University of Cambridge, Cambridge, United Kingdom"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Cambridge, Cambridge, United Kingdom","institution_ids":["https://openalex.org/I241749"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I241749"],"apc_list":null,"apc_paid":null,"fwci":0.5439,"has_fulltext":false,"cited_by_count":10,"citation_normalized_percentile":{"value":0.66350483,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":null,"issue":null,"first_page":"27","last_page":"32"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11448","display_name":"Face recognition and analysis","score":0.9995999932289124,"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"}},"topics":[{"id":"https://openalex.org/T11448","display_name":"Face recognition and analysis","score":0.9995999932289124,"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/T11094","display_name":"Face Recognition and Perception","score":0.9980000257492065,"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/T10057","display_name":"Face and Expression Recognition","score":0.9793999791145325,"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/facial-expression","display_name":"Facial expression","score":0.7397478818893433},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7390819787979126},{"id":"https://openalex.org/keywords/avatar","display_name":"Avatar","score":0.6680566072463989},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6472707986831665},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.5722891092300415},{"id":"https://openalex.org/keywords/landmark","display_name":"Landmark","score":0.565329909324646},{"id":"https://openalex.org/keywords/surprise","display_name":"Surprise","score":0.525033712387085},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.5004501342773438},{"id":"https://openalex.org/keywords/perception","display_name":"Perception","score":0.4514429569244385},{"id":"https://openalex.org/keywords/human\u2013computer-interaction","display_name":"Human\u2013computer interaction","score":0.23277410864830017},{"id":"https://openalex.org/keywords/psychology","display_name":"Psychology","score":0.09378668665885925},{"id":"https://openalex.org/keywords/communication","display_name":"Communication","score":0.07385671138763428}],"concepts":[{"id":"https://openalex.org/C195704467","wikidata":"https://www.wikidata.org/wiki/Q327968","display_name":"Facial expression","level":2,"score":0.7397478818893433},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7390819787979126},{"id":"https://openalex.org/C2777365542","wikidata":"https://www.wikidata.org/wiki/Q83090","display_name":"Avatar","level":2,"score":0.6680566072463989},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6472707986831665},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5722891092300415},{"id":"https://openalex.org/C2780297707","wikidata":"https://www.wikidata.org/wiki/Q4895393","display_name":"Landmark","level":2,"score":0.565329909324646},{"id":"https://openalex.org/C2780343955","wikidata":"https://www.wikidata.org/wiki/Q333173","display_name":"Surprise","level":2,"score":0.525033712387085},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.5004501342773438},{"id":"https://openalex.org/C26760741","wikidata":"https://www.wikidata.org/wiki/Q160402","display_name":"Perception","level":2,"score":0.4514429569244385},{"id":"https://openalex.org/C107457646","wikidata":"https://www.wikidata.org/wiki/Q207434","display_name":"Human\u2013computer interaction","level":1,"score":0.23277410864830017},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.09378668665885925},{"id":"https://openalex.org/C46312422","wikidata":"https://www.wikidata.org/wiki/Q11024","display_name":"Communication","level":1,"score":0.07385671138763428},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"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/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/1877826.1877835","is_oa":false,"landing_page_url":"https://doi.org/10.1145/1877826.1877835","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 3rd international workshop on Affective interaction in natural environments","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":34,"referenced_works":["https://openalex.org/W246076786","https://openalex.org/W1482945316","https://openalex.org/W1507127279","https://openalex.org/W1532599774","https://openalex.org/W1565009026","https://openalex.org/W1852611076","https://openalex.org/W1995771686","https://openalex.org/W1997396624","https://openalex.org/W2003653478","https://openalex.org/W2009375902","https://openalex.org/W2045613534","https://openalex.org/W2053907973","https://openalex.org/W2101909076","https://openalex.org/W2104912728","https://openalex.org/W2105198535","https://openalex.org/W2114231266","https://openalex.org/W2124052984","https://openalex.org/W2133001582","https://openalex.org/W2134676432","https://openalex.org/W2140351517","https://openalex.org/W2156516654","https://openalex.org/W2156531583","https://openalex.org/W2159668072","https://openalex.org/W2166417141","https://openalex.org/W2170129887","https://openalex.org/W2173219554","https://openalex.org/W4246674497","https://openalex.org/W4253024038","https://openalex.org/W4285719527","https://openalex.org/W6628988950","https://openalex.org/W6642004351","https://openalex.org/W6684459434","https://openalex.org/W7011692138","https://openalex.org/W7037509055"],"related_works":["https://openalex.org/W2056853153","https://openalex.org/W2057559274","https://openalex.org/W2005087563","https://openalex.org/W2378111931","https://openalex.org/W2052388267","https://openalex.org/W4399125999","https://openalex.org/W1872262506","https://openalex.org/W2503799762","https://openalex.org/W2945121592","https://openalex.org/W2169060180"],"abstract_inverted_index":{"Many":[0],"approaches":[1],"to":[2,34,161],"the":[3,44,96,103,110,113,124,135],"analysis":[4],"and":[5,75,83],"synthesis":[6,162],"of":[7,26,28,47,67,72,112],"facial":[8,90,106,144],"expressions":[9,93,145],"rely":[10],"on":[11,16,109],"automatically":[12,50,100],"tracking":[13,29],"landmark":[14],"points":[15,53,108],"human":[17,73,114,137],"faces.":[18],"However,":[19],"this":[20],"approach":[21,160],"is":[22],"usually":[23],"chosen":[24],"because":[25],"ease":[27],"rather":[30],"than":[31,134,152,171],"its":[32],"ability":[33],"convey":[35],"affect.":[36],"We":[37],"have":[38],"conducted":[39],"an":[40],"experiment":[41,61],"that":[42,140,157],"evaluated":[43],"perceptual":[45],"importance":[46],"22":[48,104],"such":[49],"tracked":[51,105],"feature":[52,107],"in":[54,121],"a":[55,158],"mental":[56,63,154,169],"state":[57,64],"recognition":[58,65],"task.":[59],"The":[60],"compared":[62],"rates":[66],"participants":[68],"who":[69],"viewed":[70],"videos":[71,111,139],"actors":[74],"synthetic":[76,97,126],"characters":[77,98],"(physical":[78],"android":[79],"robot,":[80],"virtual":[81,84],"avatar,":[82],"stick":[85],"figure":[86],"drawings)":[87],"enacting":[88],"various":[89],"expressions.":[91],"All":[92],"made":[94],"by":[95],"were":[99,131,148],"generated":[101,141],"using":[102],"actors.":[115],"Our":[116],"results":[117],"show":[118],"no":[119],"difference":[120],"accuracy":[122],"across":[123],"three":[125,130],"representations,":[127],"however,":[128],"all":[129],"less":[132],"accurate":[133],"original":[136],"actor":[138],"them.":[142],"Overall,":[143],"showing":[146],"surprise":[147],"more":[149],"easily":[150],"identifiable":[151],"other":[153],"states,":[155],"suggesting":[156],"geometric":[159],"may":[163],"be":[164],"better":[165],"suited":[166],"toward":[167],"some":[168],"states":[170],"others.":[172]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":1},{"year":2018,"cited_by_count":1},{"year":2017,"cited_by_count":1},{"year":2016,"cited_by_count":1},{"year":2014,"cited_by_count":2}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}