{"id":"https://openalex.org/W2887539890","doi":"https://doi.org/10.1145/3212721.3212813","title":"Ranking-Based Affect Estimation of Motion Capture Data in the Valence-Arousal Space","display_name":"Ranking-Based Affect Estimation of Motion Capture Data in the Valence-Arousal Space","publication_year":2018,"publication_date":"2018-06-28","ids":{"openalex":"https://openalex.org/W2887539890","doi":"https://doi.org/10.1145/3212721.3212813","mag":"2887539890"},"language":"en","primary_location":{"id":"doi:10.1145/3212721.3212813","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3212721.3212813","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 5th International Conference on Movement and Computing","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/A5072161328","display_name":"William Li","orcid":"https://orcid.org/0000-0002-2562-769X"},"institutions":[{"id":"https://openalex.org/I18014758","display_name":"Simon Fraser University","ror":"https://ror.org/0213rcc28","country_code":"CA","type":"education","lineage":["https://openalex.org/I18014758"]}],"countries":["CA"],"is_corresponding":true,"raw_author_name":"William Li","raw_affiliation_strings":["Simon Fraser University"],"affiliations":[{"raw_affiliation_string":"Simon Fraser University","institution_ids":["https://openalex.org/I18014758"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5043604020","display_name":"Omid Alemi","orcid":null},"institutions":[{"id":"https://openalex.org/I18014758","display_name":"Simon Fraser University","ror":"https://ror.org/0213rcc28","country_code":"CA","type":"education","lineage":["https://openalex.org/I18014758"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Omid Alemi","raw_affiliation_strings":["Simon Fraser University"],"affiliations":[{"raw_affiliation_string":"Simon Fraser University","institution_ids":["https://openalex.org/I18014758"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5033210778","display_name":"Jianyu Fan","orcid":null},"institutions":[{"id":"https://openalex.org/I18014758","display_name":"Simon Fraser University","ror":"https://ror.org/0213rcc28","country_code":"CA","type":"education","lineage":["https://openalex.org/I18014758"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Jianyu Fan","raw_affiliation_strings":["Simon Fraser University"],"affiliations":[{"raw_affiliation_string":"Simon Fraser University","institution_ids":["https://openalex.org/I18014758"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5022966906","display_name":"Philippe Pasquier","orcid":"https://orcid.org/0000-0001-8675-3561"},"institutions":[{"id":"https://openalex.org/I18014758","display_name":"Simon Fraser University","ror":"https://ror.org/0213rcc28","country_code":"CA","type":"education","lineage":["https://openalex.org/I18014758"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Philippe Pasquier","raw_affiliation_strings":["Simon Fraser University"],"affiliations":[{"raw_affiliation_string":"Simon Fraser University","institution_ids":["https://openalex.org/I18014758"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5072161328"],"corresponding_institution_ids":["https://openalex.org/I18014758"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.1107504,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":94},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"8"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12496","display_name":"Color perception and design","score":0.9876999855041504,"subfield":{"id":"https://openalex.org/subfields/3207","display_name":"Social 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/T12496","display_name":"Color perception and design","score":0.9876999855041504,"subfield":{"id":"https://openalex.org/subfields/3207","display_name":"Social 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/T12114","display_name":"Sensory Analysis and Statistical Methods","score":0.9746000170707703,"subfield":{"id":"https://openalex.org/subfields/1106","display_name":"Food Science"},"field":{"id":"https://openalex.org/fields/11","display_name":"Agricultural and Biological Sciences"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}},{"id":"https://openalex.org/T10667","display_name":"Emotion and Mood Recognition","score":0.9703999757766724,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/valence","display_name":"Valence (chemistry)","score":0.7734251022338867},{"id":"https://openalex.org/keywords/motion-capture","display_name":"Motion capture","score":0.754734456539154},{"id":"https://openalex.org/keywords/arousal","display_name":"Arousal","score":0.7434751391410828},{"id":"https://openalex.org/keywords/affect","display_name":"Affect (linguistics)","score":0.720733642578125},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5525656342506409},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5483610033988953},{"id":"https://openalex.org/keywords/motion","display_name":"Motion (physics)","score":0.5010416507720947},{"id":"https://openalex.org/keywords/crowdsourcing","display_name":"Crowdsourcing","score":0.48743966221809387},{"id":"https://openalex.org/keywords/ranking","display_name":"Ranking (information retrieval)","score":0.48699885606765747},{"id":"https://openalex.org/keywords/pairwise-comparison","display_name":"Pairwise comparison","score":0.4795084297657013},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.36742234230041504},{"id":"https://openalex.org/keywords/psychology","display_name":"Psychology","score":0.26744890213012695},{"id":"https://openalex.org/keywords/social-psychology","display_name":"Social psychology","score":0.15732058882713318},{"id":"https://openalex.org/keywords/communication","display_name":"Communication","score":0.11038485169410706},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.10056763887405396}],"concepts":[{"id":"https://openalex.org/C168900304","wikidata":"https://www.wikidata.org/wiki/Q171407","display_name":"Valence (chemistry)","level":2,"score":0.7734251022338867},{"id":"https://openalex.org/C48007421","wikidata":"https://www.wikidata.org/wiki/Q676252","display_name":"Motion capture","level":3,"score":0.754734456539154},{"id":"https://openalex.org/C36951298","wikidata":"https://www.wikidata.org/wiki/Q379784","display_name":"Arousal","level":2,"score":0.7434751391410828},{"id":"https://openalex.org/C2776035688","wikidata":"https://www.wikidata.org/wiki/Q1606558","display_name":"Affect (linguistics)","level":2,"score":0.720733642578125},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5525656342506409},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5483610033988953},{"id":"https://openalex.org/C104114177","wikidata":"https://www.wikidata.org/wiki/Q79782","display_name":"Motion (physics)","level":2,"score":0.5010416507720947},{"id":"https://openalex.org/C62230096","wikidata":"https://www.wikidata.org/wiki/Q275969","display_name":"Crowdsourcing","level":2,"score":0.48743966221809387},{"id":"https://openalex.org/C189430467","wikidata":"https://www.wikidata.org/wiki/Q7293293","display_name":"Ranking (information retrieval)","level":2,"score":0.48699885606765747},{"id":"https://openalex.org/C184898388","wikidata":"https://www.wikidata.org/wiki/Q1435712","display_name":"Pairwise comparison","level":2,"score":0.4795084297657013},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.36742234230041504},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.26744890213012695},{"id":"https://openalex.org/C77805123","wikidata":"https://www.wikidata.org/wiki/Q161272","display_name":"Social psychology","level":1,"score":0.15732058882713318},{"id":"https://openalex.org/C46312422","wikidata":"https://www.wikidata.org/wiki/Q11024","display_name":"Communication","level":1,"score":0.11038485169410706},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.10056763887405396},{"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/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3212721.3212813","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3212721.3212813","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 5th International Conference on Movement and Computing","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":42,"referenced_works":["https://openalex.org/W102973337","https://openalex.org/W112197792","https://openalex.org/W1527117961","https://openalex.org/W1552767446","https://openalex.org/W1689644917","https://openalex.org/W1777859530","https://openalex.org/W1972221662","https://openalex.org/W1973435495","https://openalex.org/W1977259876","https://openalex.org/W1985765492","https://openalex.org/W1988184510","https://openalex.org/W1990120076","https://openalex.org/W2012758188","https://openalex.org/W2023397245","https://openalex.org/W2024221294","https://openalex.org/W2025820736","https://openalex.org/W2033773055","https://openalex.org/W2040467972","https://openalex.org/W2043181832","https://openalex.org/W2044807399","https://openalex.org/W2058518679","https://openalex.org/W2073859568","https://openalex.org/W2080830759","https://openalex.org/W2082735203","https://openalex.org/W2117273438","https://openalex.org/W2121407761","https://openalex.org/W2131123711","https://openalex.org/W2143331230","https://openalex.org/W2149427297","https://openalex.org/W2149628368","https://openalex.org/W2152887989","https://openalex.org/W2156848952","https://openalex.org/W2163329495","https://openalex.org/W2164186291","https://openalex.org/W2167557160","https://openalex.org/W2184380209","https://openalex.org/W2561675875","https://openalex.org/W2772145723","https://openalex.org/W2988119488","https://openalex.org/W4210426277","https://openalex.org/W4253285916","https://openalex.org/W4293257135"],"related_works":["https://openalex.org/W2029072726","https://openalex.org/W91913183","https://openalex.org/W2936882366","https://openalex.org/W2736893848","https://openalex.org/W2128698257","https://openalex.org/W1544055438","https://openalex.org/W3003450285","https://openalex.org/W2013608943","https://openalex.org/W4399628019","https://openalex.org/W2085024878"],"abstract_inverted_index":{"Affect":[0],"estimation":[1],"consists":[2],"of":[3,8,29,49,74,98,119],"building":[4],"a":[5,55,58,91,107],"predictive":[6],"model":[7,94],"the":[9,21,40,66,69,82,111,115,120,129,137,142],"perceived":[10,22],"affect":[11,23],"given":[12],"stimuli.":[13],"In":[14,39,81],"this":[15,37],"study,":[16],"we":[17,43,85],"are":[18,33],"looking":[19],"at":[20],"in":[24,110,136],"full-body":[25],"motion":[26,50,76,99,130],"capture":[27,51,77,100,131],"data":[28,101],"various":[30],"movements.":[31],"There":[32],"two":[34],"parts":[35],"to":[36,79,127,141],"study.":[38],"first":[41],"part,":[42,84],"conduct":[44],"groundtruthing":[45],"on":[46,57],"affective":[47],"labels":[48],"sequences":[52,78],"by":[53],"hosting":[54],"survey":[56],"crowdsourcing":[59],"platform":[60],"where":[61],"participants":[62],"from":[63],"all":[64],"over":[65],"world":[67],"ranked":[68],"relative":[70],"valence":[71,143],"and":[72],"arousal":[73,138],"one":[75],"another.":[80],"second":[83],"present":[86],"our":[87],"experiments":[88],"with":[89,133],"training":[90],"machine":[92],"learning":[93],"for":[95],"pairwise":[96],"ranking":[97],"using":[102],"RankNet.":[103],"Our":[104],"analysis":[105],"shows":[106],"reasonable":[108],"strength":[109],"inter-rater":[112],"agreement":[113],"between":[114],"participants.":[116],"The":[117],"evaluation":[118],"RankNet":[121],"demonstrates":[122],"that":[123],"it":[124],"can":[125],"learn":[126],"rank":[128],"data,":[132],"higher":[134],"confidence":[135],"dimension":[139],"compared":[140],"dimension.":[144]},"counts_by_year":[{"year":2024,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}