{"id":"https://openalex.org/W3213769862","doi":"https://doi.org/10.1109/acii52823.2021.9597450","title":"Gesture based fear recognition using nonperformance dataset from VR horror games","display_name":"Gesture based fear recognition using nonperformance dataset from VR horror games","publication_year":2021,"publication_date":"2021-09-28","ids":{"openalex":"https://openalex.org/W3213769862","doi":"https://doi.org/10.1109/acii52823.2021.9597450","mag":"3213769862"},"language":"en","primary_location":{"id":"doi:10.1109/acii52823.2021.9597450","is_oa":false,"landing_page_url":"https://doi.org/10.1109/acii52823.2021.9597450","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 9th International Conference on Affective Computing and Intelligent Interaction (ACII)","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/A5008892243","display_name":"Xinyi Fu","orcid":"https://orcid.org/0000-0001-6927-0111"},"institutions":[{"id":"https://openalex.org/I4210119254","display_name":"Academy of Arts","ror":"https://ror.org/02fqn3k51","country_code":"DE","type":"archive","lineage":["https://openalex.org/I4210119254"]},{"id":"https://openalex.org/I99065089","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549","country_code":"CN","type":"education","lineage":["https://openalex.org/I99065089"]}],"countries":["CN","DE"],"is_corresponding":false,"raw_author_name":"Xinyi Fu","raw_affiliation_strings":["The Future Laboratory, Academy of Arts & Design, Tsinghua University,Beijng,China","The Future Laboratory, Academy of Arts & Design, Tsinghua University, Beijng, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"The Future Laboratory, Academy of Arts & Design, Tsinghua University,Beijng,China","institution_ids":["https://openalex.org/I4210119254"]},{"raw_affiliation_string":"The Future Laboratory, Academy of Arts & Design, Tsinghua University, Beijng, China","institution_ids":["https://openalex.org/I99065089"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5082078673","display_name":"Cheng Xue","orcid":"https://orcid.org/0000-0001-9667-623X"},"institutions":[{"id":"https://openalex.org/I99065089","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549","country_code":"CN","type":"education","lineage":["https://openalex.org/I99065089"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Cheng Xue","raw_affiliation_strings":["The Future Laboratory, Tsinghua University,Beijng,China","The Future Laboratory, Tsinghua University, Beijng, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"The Future Laboratory, Tsinghua University,Beijng,China","institution_ids":["https://openalex.org/I99065089"]},{"raw_affiliation_string":"The Future Laboratory, Tsinghua University, Beijng, China","institution_ids":["https://openalex.org/I99065089"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5020122684","display_name":"Qiuyi Yin","orcid":null},"institutions":[{"id":"https://openalex.org/I74973139","display_name":"Carnegie Mellon University","ror":"https://ror.org/05x2bcf33","country_code":"US","type":"education","lineage":["https://openalex.org/I74973139"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Qiuyi Yin","raw_affiliation_strings":["Dietrich College of Humanities and Social Sciences, Carnegie Mellon University,Pittsburgh,United States","Dietrich College of Humanities and Social Sciences, Carnegie Mellon University, Pittsburgh, United States"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Dietrich College of Humanities and Social Sciences, Carnegie Mellon University,Pittsburgh,United States","institution_ids":["https://openalex.org/I74973139"]},{"raw_affiliation_string":"Dietrich College of Humanities and Social Sciences, Carnegie Mellon University, Pittsburgh, United States","institution_ids":["https://openalex.org/I74973139"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5113969917","display_name":"Yu Jiang","orcid":null},"institutions":[{"id":"https://openalex.org/I74973139","display_name":"Carnegie Mellon University","ror":"https://ror.org/05x2bcf33","country_code":"US","type":"education","lineage":["https://openalex.org/I74973139"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Yu Jiang","raw_affiliation_strings":["Dietrich College of Humanities and Social Sciences, Carnegie Mellon University,Pittsburgh,United States","Dietrich College of Humanities and Social Sciences, Carnegie Mellon University, Pittsburgh, United States"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Dietrich College of Humanities and Social Sciences, Carnegie Mellon University,Pittsburgh,United States","institution_ids":["https://openalex.org/I74973139"]},{"raw_affiliation_string":"Dietrich College of Humanities and Social Sciences, Carnegie Mellon University, Pittsburgh, United States","institution_ids":["https://openalex.org/I74973139"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100339187","display_name":"Ye Li","orcid":"https://orcid.org/0000-0001-6543-2945"},"institutions":[{"id":"https://openalex.org/I193531525","display_name":"George Washington University","ror":"https://ror.org/00y4zzh67","country_code":"US","type":"education","lineage":["https://openalex.org/I193531525"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Ye Li","raw_affiliation_strings":["School of Engineering and Applied Science, George Washington University,Washington,United States","School of Engineering and Applied Science, George Washington University, Washington, United States"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Engineering and Applied Science, George Washington University,Washington,United States","institution_ids":["https://openalex.org/I193531525"]},{"raw_affiliation_string":"School of Engineering and Applied Science, George Washington University, Washington, United States","institution_ids":["https://openalex.org/I193531525"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101889418","display_name":"Yichen Cai","orcid":"https://orcid.org/0000-0003-0950-3504"},"institutions":[{"id":"https://openalex.org/I99065089","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549","country_code":"CN","type":"education","lineage":["https://openalex.org/I99065089"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yichen Cai","raw_affiliation_strings":["Tsinghua University,Department of Automation,Beijng,China","Department of Automation, Tsinghua University, Beijng, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Tsinghua University,Department of Automation,Beijng,China","institution_ids":["https://openalex.org/I99065089"]},{"raw_affiliation_string":"Department of Automation, Tsinghua University, Beijng, China","institution_ids":["https://openalex.org/I99065089"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5102115578","display_name":"Weilin Sun","orcid":null},"institutions":[{"id":"https://openalex.org/I31683504","display_name":"Beijing Forestry University","ror":"https://ror.org/04xv2pc41","country_code":"CN","type":"education","lineage":["https://openalex.org/I1327237609","https://openalex.org/I31683504","https://openalex.org/I4210127390"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Weilin Sun","raw_affiliation_strings":["Beijing Forestry University,Department of Materials Science and Technology,Beijng,China","Department of Materials Science and Technology, Beijing Forestry University, Beijng, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Beijing Forestry University,Department of Materials Science and Technology,Beijng,China","institution_ids":["https://openalex.org/I31683504"]},{"raw_affiliation_string":"Department of Materials Science and Technology, Beijing Forestry University, Beijng, China","institution_ids":["https://openalex.org/I31683504"]}]}],"institutions":[],"countries_distinct_count":3,"institutions_distinct_count":5,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":1.05,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":{"value":0.78872305,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":96},"biblio":{"volume":"31","issue":null,"first_page":"1","last_page":"8"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10667","display_name":"Emotion and Mood Recognition","score":0.9995999932289124,"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":0.9995999932289124,"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":0.9988999962806702,"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/T10709","display_name":"Social Robot Interaction and HRI","score":0.9912999868392944,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/gesture","display_name":"Gesture","score":0.7801823616027832},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6902094483375549},{"id":"https://openalex.org/keywords/modality","display_name":"Modality (human\u2013computer interaction)","score":0.6564731001853943},{"id":"https://openalex.org/keywords/emotion-recognition","display_name":"Emotion recognition","score":0.6296645402908325},{"id":"https://openalex.org/keywords/modalities","display_name":"Modalities","score":0.6283185482025146},{"id":"https://openalex.org/keywords/gesture-recognition","display_name":"Gesture recognition","score":0.6078168153762817},{"id":"https://openalex.org/keywords/construct","display_name":"Construct (python library)","score":0.4956134557723999},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.4318726658821106},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.40494054555892944}],"concepts":[{"id":"https://openalex.org/C207347870","wikidata":"https://www.wikidata.org/wiki/Q371174","display_name":"Gesture","level":2,"score":0.7801823616027832},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6902094483375549},{"id":"https://openalex.org/C2780226545","wikidata":"https://www.wikidata.org/wiki/Q6888030","display_name":"Modality (human\u2013computer interaction)","level":2,"score":0.6564731001853943},{"id":"https://openalex.org/C2777438025","wikidata":"https://www.wikidata.org/wiki/Q1339090","display_name":"Emotion recognition","level":2,"score":0.6296645402908325},{"id":"https://openalex.org/C2779903281","wikidata":"https://www.wikidata.org/wiki/Q6888026","display_name":"Modalities","level":2,"score":0.6283185482025146},{"id":"https://openalex.org/C159437735","wikidata":"https://www.wikidata.org/wiki/Q1519524","display_name":"Gesture recognition","level":3,"score":0.6078168153762817},{"id":"https://openalex.org/C2780801425","wikidata":"https://www.wikidata.org/wiki/Q5164392","display_name":"Construct (python library)","level":2,"score":0.4956134557723999},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.4318726658821106},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.40494054555892944},{"id":"https://openalex.org/C36289849","wikidata":"https://www.wikidata.org/wiki/Q34749","display_name":"Social science","level":1,"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/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/acii52823.2021.9597450","is_oa":false,"landing_page_url":"https://doi.org/10.1109/acii52823.2021.9597450","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 9th International Conference on Affective Computing and Intelligent Interaction (ACII)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.6100000143051147,"id":"https://metadata.un.org/sdg/5","display_name":"Gender equality"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":26,"referenced_works":["https://openalex.org/W1483803373","https://openalex.org/W1563099953","https://openalex.org/W1587447546","https://openalex.org/W1883922301","https://openalex.org/W1992448323","https://openalex.org/W2002055708","https://openalex.org/W2012758188","https://openalex.org/W2032254851","https://openalex.org/W2039262954","https://openalex.org/W2064422984","https://openalex.org/W2082735203","https://openalex.org/W2115716836","https://openalex.org/W2116376927","https://openalex.org/W2122427645","https://openalex.org/W2132555391","https://openalex.org/W2136391815","https://openalex.org/W2149628368","https://openalex.org/W2153822685","https://openalex.org/W2157796984","https://openalex.org/W2251262852","https://openalex.org/W2369642772","https://openalex.org/W2937228458","https://openalex.org/W2954818883","https://openalex.org/W2996586112","https://openalex.org/W3000708811","https://openalex.org/W6680285999"],"related_works":["https://openalex.org/W73545470","https://openalex.org/W4224266612","https://openalex.org/W2383394264","https://openalex.org/W4320153225","https://openalex.org/W4293261942","https://openalex.org/W3125968744","https://openalex.org/W2167701463","https://openalex.org/W2110287964","https://openalex.org/W4307407935","https://openalex.org/W2902873204"],"abstract_inverted_index":{"Emotion":[0],"recognition":[1,16,35,74],"is":[2,28],"a":[3,45,55],"rising":[4],"trend":[5],"in":[6,59,92],"related":[7],"fields.":[8],"Existing":[9],"research":[10,30],"mainly":[11],"aims":[12],"at":[13],"the":[14,81],"emotion":[15,34],"based":[17],"on":[18,23,32,77],"single":[19],"or":[20],"multi":[21],"modalities":[22],"performance":[24],"datasets.":[25,39],"However,":[26],"there":[27],"little":[29],"focusing":[31],"gesture-based":[33,72],"using":[36,51,75],"non-performance":[37,46],"emotional":[38,47],"In":[40],"this":[41,78],"article,":[42],"we":[43,66],"proposed":[44,67],"data":[48],"collection":[49],"scheme":[50],"VR":[52,102],"to":[53,85],"construct":[54],"high-quality":[56],"nonperformance":[57],"dataset":[58,79],"gesture":[60],"modality":[61],"with":[62,80],"fear":[63,73],"labels.":[64],"Then":[65],"an":[68],"optimized":[69],"algorithm":[70],"for":[71],"BLSTM":[76],"accuracy":[82],"of":[83],"up":[84],"71.43%.":[86],"Our":[87],"work":[88],"could":[89],"be":[90],"applied":[91],"many":[93],"domains":[94],"such":[95],"as":[96],"potentially":[97],"domestic":[98],"violence":[99],"detection":[100],"and":[101],"game":[103],"evaluation.":[104]},"counts_by_year":[{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":2}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}