{"id":"https://openalex.org/W2589710685","doi":"https://doi.org/10.3233/ais-170424","title":"Computer vision analysis for children\u2019s social play classification in peer-play scenarios","display_name":"Computer vision analysis for children\u2019s social play classification in peer-play scenarios","publication_year":2017,"publication_date":"2017-02-21","ids":{"openalex":"https://openalex.org/W2589710685","doi":"https://doi.org/10.3233/ais-170424","mag":"2589710685"},"language":"en","primary_location":{"id":"doi:10.3233/ais-170424","is_oa":false,"landing_page_url":"https://doi.org/10.3233/ais-170424","pdf_url":null,"source":{"id":"https://openalex.org/S2492266406","display_name":"Journal of Ambient Intelligence and Smart Environments","issn_l":"1876-1364","issn":["1876-1364","1876-1372"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310318577","host_organization_name":"IOS Press","host_organization_lineage":["https://openalex.org/P4310318577"],"host_organization_lineage_names":["IOS Press"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Ambient Intelligence and Smart Environments","raw_type":"journal-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/A5074413520","display_name":"Dingrui Duan","orcid":null},"institutions":[{"id":"https://openalex.org/I20231570","display_name":"Peking University","ror":"https://ror.org/02v51f717","country_code":"CN","type":"education","lineage":["https://openalex.org/I20231570"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Dingrui Duan","raw_affiliation_strings":["Key Laboratory of Machine Perception, Peking University, China. E-mails:\u00a0ddr@pku.edu.cn,\u00a0cjs@cis.pku.edu.cn,\u00a0zha@cis.pku.edu.cn"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Key Laboratory of Machine Perception, Peking University, China. E-mails:\u00a0ddr@pku.edu.cn,\u00a0cjs@cis.pku.edu.cn,\u00a0zha@cis.pku.edu.cn","institution_ids":["https://openalex.org/I20231570"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5085612987","display_name":"Yingning Huang","orcid":null},"institutions":[{"id":"https://openalex.org/I20231570","display_name":"Peking University","ror":"https://ror.org/02v51f717","country_code":"CN","type":"education","lineage":["https://openalex.org/I20231570"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yingning Huang","raw_affiliation_strings":["Key Laboratory of Machine Perception, Peking University, China. E-mails:\u00a0ddr@pku.edu.cn,\u00a0cjs@cis.pku.edu.cn,\u00a0zha@cis.pku.edu.cn"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Key Laboratory of Machine Perception, Peking University, China. E-mails:\u00a0ddr@pku.edu.cn,\u00a0cjs@cis.pku.edu.cn,\u00a0zha@cis.pku.edu.cn","institution_ids":["https://openalex.org/I20231570"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5113432906","display_name":"Jinshi Cui","orcid":null},"institutions":[{"id":"https://openalex.org/I20231570","display_name":"Peking University","ror":"https://ror.org/02v51f717","country_code":"CN","type":"education","lineage":["https://openalex.org/I20231570"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Jinshi Cui","raw_affiliation_strings":["Key Laboratory of Machine Perception, Peking University, China. E-mails:\u00a0ddr@pku.edu.cn,\u00a0cjs@cis.pku.edu.cn,\u00a0zha@cis.pku.edu.cn"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Key Laboratory of Machine Perception, Peking University, China. E-mails:\u00a0ddr@pku.edu.cn,\u00a0cjs@cis.pku.edu.cn,\u00a0zha@cis.pku.edu.cn","institution_ids":["https://openalex.org/I20231570"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5108047221","display_name":"Li Wang","orcid":"https://orcid.org/0000-0002-5079-8992"},"institutions":[{"id":"https://openalex.org/I20231570","display_name":"Peking University","ror":"https://ror.org/02v51f717","country_code":"CN","type":"education","lineage":["https://openalex.org/I20231570"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Li Wang","raw_affiliation_strings":["Department of Psychology and Beijing Key Laboratory of Behavior and Mental Health, Peking University, China. E-mail:\u00a0liwang@pku.edu.cn"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Psychology and Beijing Key Laboratory of Behavior and Mental Health, Peking University, China. E-mail:\u00a0liwang@pku.edu.cn","institution_ids":["https://openalex.org/I20231570"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100328995","display_name":"Xuan Wang","orcid":"https://orcid.org/0000-0002-3512-0649"},"institutions":[{"id":"https://openalex.org/I20231570","display_name":"Peking University","ror":"https://ror.org/02v51f717","country_code":"CN","type":"education","lineage":["https://openalex.org/I20231570"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xuan Wang","raw_affiliation_strings":["Department of Psychology and Beijing Key Laboratory of Behavior and Mental Health, Peking University, China. E-mail:\u00a0liwang@pku.edu.cn"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Psychology and Beijing Key Laboratory of Behavior and Mental Health, Peking University, China. E-mail:\u00a0liwang@pku.edu.cn","institution_ids":["https://openalex.org/I20231570"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5017031914","display_name":"Hongbin Zha","orcid":"https://orcid.org/0000-0001-5860-4673"},"institutions":[{"id":"https://openalex.org/I20231570","display_name":"Peking University","ror":"https://ror.org/02v51f717","country_code":"CN","type":"education","lineage":["https://openalex.org/I20231570"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Hongbin Zha","raw_affiliation_strings":["Key Laboratory of Machine Perception, Peking University, China. E-mails:\u00a0ddr@pku.edu.cn,\u00a0cjs@cis.pku.edu.cn,\u00a0zha@cis.pku.edu.cn"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Key Laboratory of Machine Perception, Peking University, China. E-mails:\u00a0ddr@pku.edu.cn,\u00a0cjs@cis.pku.edu.cn,\u00a0zha@cis.pku.edu.cn","institution_ids":["https://openalex.org/I20231570"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5113432906"],"corresponding_institution_ids":["https://openalex.org/I20231570"],"apc_list":null,"apc_paid":null,"fwci":0.1067,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.47617292,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":94},"biblio":{"volume":"9","issue":"2","first_page":"225","last_page":"238"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10812","display_name":"Human Pose and Action Recognition","score":0.9990000128746033,"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/T10812","display_name":"Human Pose and Action Recognition","score":0.9990000128746033,"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/T10331","display_name":"Video Surveillance and Tracking Methods","score":0.9689000248908997,"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/T11714","display_name":"Multimodal Machine Learning Applications","score":0.9352999925613403,"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":0.7521487474441528},{"id":"https://openalex.org/keywords/pairwise-comparison","display_name":"Pairwise comparison","score":0.7045131921768188},{"id":"https://openalex.org/keywords/conditional-random-field","display_name":"Conditional random field","score":0.6976622343063354},{"id":"https://openalex.org/keywords/context","display_name":"Context (archaeology)","score":0.536994218826294},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5246686935424805},{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"Support vector machine","score":0.518900454044342},{"id":"https://openalex.org/keywords/field","display_name":"Field (mathematics)","score":0.5123196840286255},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.48877307772636414},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.4657835066318512},{"id":"https://openalex.org/keywords/unary-operation","display_name":"Unary operation","score":0.4247454106807709},{"id":"https://openalex.org/keywords/key","display_name":"Key (lock)","score":0.42460933327674866},{"id":"https://openalex.org/keywords/data-science","display_name":"Data science","score":0.32590633630752563},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.32499855756759644},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.0753202736377716}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7521487474441528},{"id":"https://openalex.org/C184898388","wikidata":"https://www.wikidata.org/wiki/Q1435712","display_name":"Pairwise comparison","level":2,"score":0.7045131921768188},{"id":"https://openalex.org/C152565575","wikidata":"https://www.wikidata.org/wiki/Q1124538","display_name":"Conditional random field","level":2,"score":0.6976622343063354},{"id":"https://openalex.org/C2779343474","wikidata":"https://www.wikidata.org/wiki/Q3109175","display_name":"Context (archaeology)","level":2,"score":0.536994218826294},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5246686935424805},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.518900454044342},{"id":"https://openalex.org/C9652623","wikidata":"https://www.wikidata.org/wiki/Q190109","display_name":"Field (mathematics)","level":2,"score":0.5123196840286255},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.48877307772636414},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4657835066318512},{"id":"https://openalex.org/C78023250","wikidata":"https://www.wikidata.org/wiki/Q657596","display_name":"Unary operation","level":2,"score":0.4247454106807709},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.42460933327674866},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.32590633630752563},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.32499855756759644},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.0753202736377716},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.0},{"id":"https://openalex.org/C151730666","wikidata":"https://www.wikidata.org/wiki/Q7205","display_name":"Paleontology","level":1,"score":0.0},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.0},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0},{"id":"https://openalex.org/C202444582","wikidata":"https://www.wikidata.org/wiki/Q837863","display_name":"Pure mathematics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.3233/ais-170424","is_oa":false,"landing_page_url":"https://doi.org/10.3233/ais-170424","pdf_url":null,"source":{"id":"https://openalex.org/S2492266406","display_name":"Journal of Ambient Intelligence and Smart Environments","issn_l":"1876-1364","issn":["1876-1364","1876-1372"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310318577","host_organization_name":"IOS Press","host_organization_lineage":["https://openalex.org/P4310318577"],"host_organization_lineage_names":["IOS Press"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Ambient Intelligence and Smart Environments","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Reduced inequalities","score":0.550000011920929,"id":"https://metadata.un.org/sdg/10"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":47,"referenced_works":["https://openalex.org/W133839609","https://openalex.org/W192074925","https://openalex.org/W1513297453","https://openalex.org/W1578643944","https://openalex.org/W1585512762","https://openalex.org/W1969117674","https://openalex.org/W1971029019","https://openalex.org/W1972696612","https://openalex.org/W1980307906","https://openalex.org/W1984912494","https://openalex.org/W1988072966","https://openalex.org/W1989004008","https://openalex.org/W1998684786","https://openalex.org/W2024274943","https://openalex.org/W2041577294","https://openalex.org/W2042177521","https://openalex.org/W2044052673","https://openalex.org/W2047499569","https://openalex.org/W2053842193","https://openalex.org/W2057067088","https://openalex.org/W2064171501","https://openalex.org/W2065588878","https://openalex.org/W2074840634","https://openalex.org/W2100691054","https://openalex.org/W2100916003","https://openalex.org/W2112601421","https://openalex.org/W2125095437","https://openalex.org/W2126400504","https://openalex.org/W2131276233","https://openalex.org/W2147377836","https://openalex.org/W2147806277","https://openalex.org/W2151454023","https://openalex.org/W2152309805","https://openalex.org/W2158168180","https://openalex.org/W2158169396","https://openalex.org/W2167462312","https://openalex.org/W2397983623","https://openalex.org/W2407966565","https://openalex.org/W2533503513","https://openalex.org/W2533739470","https://openalex.org/W2543747381","https://openalex.org/W2546731535","https://openalex.org/W2572996646","https://openalex.org/W4230991907","https://openalex.org/W4247400673","https://openalex.org/W6600538138","https://openalex.org/W6638553918"],"related_works":["https://openalex.org/W2888918612","https://openalex.org/W2166285859","https://openalex.org/W3148597776","https://openalex.org/W2060412688","https://openalex.org/W1538206641","https://openalex.org/W2025370853","https://openalex.org/W2592997798","https://openalex.org/W3151400124","https://openalex.org/W2805329439","https://openalex.org/W2963336968"],"abstract_inverted_index":{"Labeling":[0],"children\u2019s":[1,10,41,111,134],"social":[2,105],"play":[3,44,55],"behavior":[4,45,106],"is":[5,14,128],"an":[6],"important":[7],"process":[8],"in":[9,46,70,104,151],"peer-play":[11,47,135],"analysis":[12,107],"which":[13],"traditionally":[15],"done":[16],"by":[17,100,115,130,138],"experienced":[18],"coders.":[19],"With":[20],"the":[21,61,84,90,94,101,142,152],"growing":[22],"volume":[23],"of":[24,133],"data,":[25],"automatic":[26],"methods":[27],"for":[28],"labeling":[29],"are":[30,80,113],"increasingly":[31],"required.":[32],"This":[33,126],"paper":[34],"presents":[35],"a":[36,87,131,148],"novel":[37],"method":[38,127,146],"to":[39,82],"classify":[40],"s":[42],"ocial":[43],"scenarios":[48,136],"into":[49],"three":[50],"categories":[51],"(solitary":[52],"play,":[53],"parallel":[54],"and":[56,67,77,89,93,108,120,141],"group":[57],"play).":[58],"Based":[59],"on":[60],"two":[62,97],"key":[63],"cues":[64],"\u2013":[65],"attentiveness":[66],"proximity":[68],"proposed":[69],"\u201cThe":[71],"Play":[72],"Observation":[73],"Scale\u201d,":[74],"unary":[75],"features":[76,79],"pairwise":[78],"calculated":[81],"describe":[83],"relationships":[85],"between":[86,96],"child":[88],"whole":[91],"context,":[92],"interactions":[95],"children.":[98],"Inspired":[99],"recent":[102],"studies":[103],"interaction":[109],"recognition,":[110],"activities":[112],"classified":[114],"support":[116],"vector":[117],"machine":[118],"(SVM)":[119],"hidden":[121],"conditional":[122],"random":[123],"field":[124],"(HCRF).":[125],"evaluated":[129],"dataset":[132],"collected":[137],"psychology":[139],"researchers":[140],"results":[143],"show":[144],"this":[145],"has":[147],"good":[149],"performance":[150],"dataset.":[153]},"counts_by_year":[{"year":2017,"cited_by_count":1}],"updated_date":"2026-07-30T17:31:21.811387","created_date":"2025-10-10T00:00:00"}