{"id":"https://openalex.org/W4308574848","doi":"https://doi.org/10.23919/wac55640.2022.9934159","title":"Posture Recognition for Human-robot Interaction Based on High Speed Camera","display_name":"Posture Recognition for Human-robot Interaction Based on High Speed Camera","publication_year":2022,"publication_date":"2022-10-11","ids":{"openalex":"https://openalex.org/W4308574848","doi":"https://doi.org/10.23919/wac55640.2022.9934159"},"language":"en","primary_location":{"id":"doi:10.23919/wac55640.2022.9934159","is_oa":false,"landing_page_url":"https://doi.org/10.23919/wac55640.2022.9934159","pdf_url":null,"source":{"id":"https://openalex.org/S4363606418","display_name":"2022 World Automation Congress (WAC)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2022 World Automation Congress (WAC)","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/A5100552889","display_name":"Qingwei Song","orcid":"https://orcid.org/0009-0006-6302-7456"},"institutions":[{"id":"https://openalex.org/I69740276","display_name":"Tokyo Metropolitan University","ror":"https://ror.org/00ws30h19","country_code":"JP","type":"education","lineage":["https://openalex.org/I69740276"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Qingwei Song","raw_affiliation_strings":["Tokyo Metropolitan University Hino,Department of System Design,Tokyo,Japan","Department of System Design, Tokyo Metropolitan University Hino, Tokyo, Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Tokyo Metropolitan University Hino,Department of System Design,Tokyo,Japan","institution_ids":["https://openalex.org/I69740276"]},{"raw_affiliation_string":"Department of System Design, Tokyo Metropolitan University Hino, Tokyo, Japan","institution_ids":["https://openalex.org/I69740276"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5074076109","display_name":"Naoyuki Kubota","orcid":"https://orcid.org/0000-0001-8829-037X"},"institutions":[{"id":"https://openalex.org/I69740276","display_name":"Tokyo Metropolitan University","ror":"https://ror.org/00ws30h19","country_code":"JP","type":"education","lineage":["https://openalex.org/I69740276"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Naoyuki Kubota","raw_affiliation_strings":["Tokyo Metropolitan University Hino,Department of System Design,Tokyo,Japan","Department of System Design, Tokyo Metropolitan University Hino, Tokyo, Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Tokyo Metropolitan University Hino,Department of System Design,Tokyo,Japan","institution_ids":["https://openalex.org/I69740276"]},{"raw_affiliation_string":"Department of System Design, Tokyo Metropolitan University Hino, Tokyo, Japan","institution_ids":["https://openalex.org/I69740276"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100340299","display_name":"Yuqi Zhang","orcid":"https://orcid.org/0000-0001-7094-3838"},"institutions":[{"id":"https://openalex.org/I69740276","display_name":"Tokyo Metropolitan University","ror":"https://ror.org/00ws30h19","country_code":"JP","type":"education","lineage":["https://openalex.org/I69740276"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Yuqi Zhang","raw_affiliation_strings":["Tokyo Metropolitan University Hino,Department of System Design,Tokyo,Japan","Department of System Design, Tokyo Metropolitan University Hino, Tokyo, Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Tokyo Metropolitan University Hino,Department of System Design,Tokyo,Japan","institution_ids":["https://openalex.org/I69740276"]},{"raw_affiliation_string":"Department of System Design, Tokyo Metropolitan University Hino, Tokyo, Japan","institution_ids":["https://openalex.org/I69740276"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I69740276"],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"419","last_page":"423"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11398","display_name":"Hand Gesture Recognition Systems","score":0.9991999864578247,"subfield":{"id":"https://openalex.org/subfields/1709","display_name":"Human-Computer Interaction"},"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/T11398","display_name":"Hand Gesture Recognition Systems","score":0.9991999864578247,"subfield":{"id":"https://openalex.org/subfields/1709","display_name":"Human-Computer Interaction"},"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":0.9973000288009644,"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/T10812","display_name":"Human Pose and Action Recognition","score":0.996399998664856,"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/artificial-intelligence","display_name":"Artificial intelligence","score":0.6838158965110779},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.6836016178131104},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6750527024269104},{"id":"https://openalex.org/keywords/robot","display_name":"Robot","score":0.5833479762077332},{"id":"https://openalex.org/keywords/movement","display_name":"Movement (music)","score":0.5042487382888794},{"id":"https://openalex.org/keywords/video-camera","display_name":"Video camera","score":0.5018482208251953},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.4649929106235504},{"id":"https://openalex.org/keywords/motion","display_name":"Motion (physics)","score":0.4382873773574829},{"id":"https://openalex.org/keywords/high-speed-camera","display_name":"High-speed camera","score":0.4120534360408783},{"id":"https://openalex.org/keywords/simulation","display_name":"Simulation","score":0.33048322796821594},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.11100155115127563},{"id":"https://openalex.org/keywords/acoustics","display_name":"Acoustics","score":0.07623270153999329}],"concepts":[{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6838158965110779},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.6836016178131104},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6750527024269104},{"id":"https://openalex.org/C90509273","wikidata":"https://www.wikidata.org/wiki/Q11012","display_name":"Robot","level":2,"score":0.5833479762077332},{"id":"https://openalex.org/C2780226923","wikidata":"https://www.wikidata.org/wiki/Q929848","display_name":"Movement (music)","level":2,"score":0.5042487382888794},{"id":"https://openalex.org/C2778852477","wikidata":"https://www.wikidata.org/wiki/Q313614","display_name":"Video camera","level":2,"score":0.5018482208251953},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.4649929106235504},{"id":"https://openalex.org/C104114177","wikidata":"https://www.wikidata.org/wiki/Q79782","display_name":"Motion (physics)","level":2,"score":0.4382873773574829},{"id":"https://openalex.org/C2777679450","wikidata":"https://www.wikidata.org/wiki/Q1621848","display_name":"High-speed camera","level":2,"score":0.4120534360408783},{"id":"https://openalex.org/C44154836","wikidata":"https://www.wikidata.org/wiki/Q45045","display_name":"Simulation","level":1,"score":0.33048322796821594},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.11100155115127563},{"id":"https://openalex.org/C24890656","wikidata":"https://www.wikidata.org/wiki/Q82811","display_name":"Acoustics","level":1,"score":0.07623270153999329},{"id":"https://openalex.org/C201995342","wikidata":"https://www.wikidata.org/wiki/Q682496","display_name":"Systems engineering","level":1,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.23919/wac55640.2022.9934159","is_oa":false,"landing_page_url":"https://doi.org/10.23919/wac55640.2022.9934159","pdf_url":null,"source":{"id":"https://openalex.org/S4363606418","display_name":"2022 World Automation Congress (WAC)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2022 World Automation Congress (WAC)","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":16,"referenced_works":["https://openalex.org/W1640878532","https://openalex.org/W2019070751","https://openalex.org/W2038166626","https://openalex.org/W2046576003","https://openalex.org/W2102605133","https://openalex.org/W2538953432","https://openalex.org/W2581563969","https://openalex.org/W2944114271","https://openalex.org/W2953106684","https://openalex.org/W2963037989","https://openalex.org/W3044285175","https://openalex.org/W3117080414","https://openalex.org/W6620707391","https://openalex.org/W6628973269","https://openalex.org/W6631782140","https://openalex.org/W6637022928"],"related_works":["https://openalex.org/W2277511171","https://openalex.org/W2943810505","https://openalex.org/W2330759776","https://openalex.org/W2351365395","https://openalex.org/W2643635245","https://openalex.org/W613920105","https://openalex.org/W2606251421","https://openalex.org/W2079589970","https://openalex.org/W2074685806","https://openalex.org/W2621192319"],"abstract_inverted_index":{"Physical":[0],"movements":[1,12],"are":[2,19,46,144],"an":[3,65],"important":[4],"part":[5,28],"of":[6,13,29,107,131,139,162,195,203],"people\u2019s":[7],"activities":[8],"and":[9,16,22,36,104,119,149,171],"communication.":[10],"The":[11,114],"the":[14,23,26,30,37,51,57,61,71,78,84,105,120,128,137,158,172,185,189],"hands":[15],"upper":[17],"limbs":[18],"relatively":[20],"fast,":[21],"postures":[24,91,143,164],"in":[25,60,95,100,109,188],"lower":[27],"ordinary":[31,135,153,180],"camera":[32],"will":[33,39],"produce":[34],"smears,":[35],"images":[38],"be":[40,75,93,112],"clearly":[41],"obtained":[42],"only":[43],"when":[44,77],"they":[45],"stopped,":[47],"which":[48],"seriously":[49],"affects":[50],"recognition":[52],"speed.":[53],"This":[54],"article":[55],"takes":[56],"hands-guessing":[58,85],"game":[59],"communication":[62,110],"robot":[63],"as":[64],"example.":[66],"Using":[67],"a":[68,96,134,192,198],"high-speed":[69,156,199],"camera,":[70,136,200],"corresponding":[72,115],"posture":[73,79,102],"can":[74,92,111],"recognized":[76,94],"is":[80,88,117,122,146,165,174,205],"not":[81],"completed":[82],"during":[83],"game.":[86],"It":[87],"expected":[89],"that":[90,141],"more":[97],"timely":[98],"manner":[99],"human":[101],"recognition,":[103],"sense":[106,194],"delay":[108,204],"reduced.":[113],"data":[116],"collected":[118],"model":[121],"generated":[123],"after":[124],"deep":[125],"learning.":[126],"In":[127,176],"fast-moving":[129],"stage":[130],"postures,":[132,184],"using":[133,155,179],"percentage":[138,161],"time":[140,160],"different":[142,163],"unrecognizable":[145,159],"between":[147],"50%":[148],"60%.":[150],"Compared":[151],"with":[152],"cameras,":[154,157],"reduced":[166],"from":[167],"50%-60%":[168],"to":[169,182],"0%,":[170],"effect":[173],"obvious.":[175],"human-computer":[177],"interaction,":[178],"cameras":[181],"infer":[183],"people":[186],"participating":[187],"test":[190],"have":[191],"significant":[193],"delay.":[196],"With":[197],"this":[201],"feeling":[202],"barely":[206],"noticeable.":[207]},"counts_by_year":[{"year":2024,"cited_by_count":3}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}
