{"id":"https://openalex.org/W3089682350","doi":"https://doi.org/10.1109/icarm49381.2020.9195342","title":"Human Motion Capture Based on Kinect and IMUs and Its Application to Human-Robot Collaboration","display_name":"Human Motion Capture Based on Kinect and IMUs and Its Application to Human-Robot Collaboration","publication_year":2020,"publication_date":"2020-09-14","ids":{"openalex":"https://openalex.org/W3089682350","doi":"https://doi.org/10.1109/icarm49381.2020.9195342","mag":"3089682350"},"language":"en","primary_location":{"id":"doi:10.1109/icarm49381.2020.9195342","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icarm49381.2020.9195342","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 5th International Conference on Advanced Robotics and Mechatronics (ICARM)","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/A5100664138","display_name":"Junhao Zhang","orcid":"https://orcid.org/0000-0002-2382-6097"},"institutions":[{"id":"https://openalex.org/I55712492","display_name":"Zhejiang University of Technology","ror":"https://ror.org/02djqfd08","country_code":"CN","type":"education","lineage":["https://openalex.org/I55712492"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Junhao Zhang","raw_affiliation_strings":["Department of Automation, Zhejiang University of Technology, Hangzhou, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Automation, Zhejiang University of Technology, Hangzhou, China","institution_ids":["https://openalex.org/I55712492"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100432725","display_name":"Peng Li","orcid":"https://orcid.org/0000-0002-7138-430X"},"institutions":[{"id":"https://openalex.org/I55712492","display_name":"Zhejiang University of Technology","ror":"https://ror.org/02djqfd08","country_code":"CN","type":"education","lineage":["https://openalex.org/I55712492"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Peng Li","raw_affiliation_strings":["Department of Automation, Zhejiang University of Technology, Hangzhou, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Automation, Zhejiang University of Technology, Hangzhou, China","institution_ids":["https://openalex.org/I55712492"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5055246459","display_name":"Tenghui Zhu","orcid":null},"institutions":[{"id":"https://openalex.org/I55712492","display_name":"Zhejiang University of Technology","ror":"https://ror.org/02djqfd08","country_code":"CN","type":"education","lineage":["https://openalex.org/I55712492"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Tenghui Zhu","raw_affiliation_strings":["Department of Automation, Zhejiang University of Technology, Hangzhou, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Automation, Zhejiang University of Technology, Hangzhou, China","institution_ids":["https://openalex.org/I55712492"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5019060617","display_name":"Wen\u2010An Zhang","orcid":"https://orcid.org/0000-0002-4355-2783"},"institutions":[{"id":"https://openalex.org/I55712492","display_name":"Zhejiang University of Technology","ror":"https://ror.org/02djqfd08","country_code":"CN","type":"education","lineage":["https://openalex.org/I55712492"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wen-An Zhang","raw_affiliation_strings":["Department of Automation, Zhejiang University of Technology, Hangzhou, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Automation, Zhejiang University of Technology, Hangzhou, China","institution_ids":["https://openalex.org/I55712492"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5010945720","display_name":"Steven Liu","orcid":"https://orcid.org/0000-0002-3407-2745"},"institutions":[{"id":"https://openalex.org/I153267046","display_name":"University of Kaiserslautern","ror":"https://ror.org/04zrf7b53","country_code":"DE","type":"education","lineage":["https://openalex.org/I153267046"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Steven Liu","raw_affiliation_strings":["Department of Electrical and Computer Engineering, TU Kaiserslautern, Kaiserslautern, Germany"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Electrical and Computer Engineering, TU Kaiserslautern, Kaiserslautern, Germany","institution_ids":["https://openalex.org/I153267046"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":25,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"392","last_page":"397"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10812","display_name":"Human Pose and Action Recognition","score":0.9908000230789185,"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":0.9908000230789185,"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/T11398","display_name":"Hand Gesture Recognition Systems","score":0.9768999814987183,"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/T12290","display_name":"Human Motion and Animation","score":0.9736999869346619,"subfield":{"id":"https://openalex.org/subfields/2207","display_name":"Control and Systems Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/motion-capture","display_name":"Motion capture","score":0.8226650357246399},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.7078925967216492},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7069187164306641},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6724932193756104},{"id":"https://openalex.org/keywords/inertial-measurement-unit","display_name":"Inertial measurement unit","score":0.6428093910217285},{"id":"https://openalex.org/keywords/solver","display_name":"Solver","score":0.5698456168174744},{"id":"https://openalex.org/keywords/orientation","display_name":"Orientation (vector space)","score":0.5139014720916748},{"id":"https://openalex.org/keywords/position","display_name":"Position (finance)","score":0.5099464654922485},{"id":"https://openalex.org/keywords/human\u2013robot-interaction","display_name":"Human\u2013robot interaction","score":0.49616608023643494},{"id":"https://openalex.org/keywords/motion","display_name":"Motion (physics)","score":0.48979663848876953},{"id":"https://openalex.org/keywords/acceleration","display_name":"Acceleration","score":0.4513482451438904},{"id":"https://openalex.org/keywords/human-motion","display_name":"Human motion","score":0.43489977717399597},{"id":"https://openalex.org/keywords/field","display_name":"Field (mathematics)","score":0.4322808086872101},{"id":"https://openalex.org/keywords/robot","display_name":"Robot","score":0.40763089060783386},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.08954781293869019}],"concepts":[{"id":"https://openalex.org/C48007421","wikidata":"https://www.wikidata.org/wiki/Q676252","display_name":"Motion capture","level":3,"score":0.8226650357246399},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.7078925967216492},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7069187164306641},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6724932193756104},{"id":"https://openalex.org/C79061980","wikidata":"https://www.wikidata.org/wiki/Q941680","display_name":"Inertial measurement unit","level":2,"score":0.6428093910217285},{"id":"https://openalex.org/C2778770139","wikidata":"https://www.wikidata.org/wiki/Q1966904","display_name":"Solver","level":2,"score":0.5698456168174744},{"id":"https://openalex.org/C16345878","wikidata":"https://www.wikidata.org/wiki/Q107472979","display_name":"Orientation (vector space)","level":2,"score":0.5139014720916748},{"id":"https://openalex.org/C198082294","wikidata":"https://www.wikidata.org/wiki/Q3399648","display_name":"Position (finance)","level":2,"score":0.5099464654922485},{"id":"https://openalex.org/C145460709","wikidata":"https://www.wikidata.org/wiki/Q859951","display_name":"Human\u2013robot interaction","level":3,"score":0.49616608023643494},{"id":"https://openalex.org/C104114177","wikidata":"https://www.wikidata.org/wiki/Q79782","display_name":"Motion (physics)","level":2,"score":0.48979663848876953},{"id":"https://openalex.org/C117896860","wikidata":"https://www.wikidata.org/wiki/Q11376","display_name":"Acceleration","level":2,"score":0.4513482451438904},{"id":"https://openalex.org/C2986578859","wikidata":"https://www.wikidata.org/wiki/Q657632","display_name":"Human motion","level":3,"score":0.43489977717399597},{"id":"https://openalex.org/C9652623","wikidata":"https://www.wikidata.org/wiki/Q190109","display_name":"Field (mathematics)","level":2,"score":0.4322808086872101},{"id":"https://openalex.org/C90509273","wikidata":"https://www.wikidata.org/wiki/Q11012","display_name":"Robot","level":2,"score":0.40763089060783386},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.08954781293869019},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0},{"id":"https://openalex.org/C10138342","wikidata":"https://www.wikidata.org/wiki/Q43015","display_name":"Finance","level":1,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","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},{"id":"https://openalex.org/C202444582","wikidata":"https://www.wikidata.org/wiki/Q837863","display_name":"Pure mathematics","level":1,"score":0.0},{"id":"https://openalex.org/C74650414","wikidata":"https://www.wikidata.org/wiki/Q11397","display_name":"Classical mechanics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icarm49381.2020.9195342","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icarm49381.2020.9195342","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 5th International Conference on Advanced Robotics and Mechatronics (ICARM)","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":19,"referenced_works":["https://openalex.org/W573760902","https://openalex.org/W1215311137","https://openalex.org/W1502027824","https://openalex.org/W2017249118","https://openalex.org/W2152047877","https://openalex.org/W2170093473","https://openalex.org/W2605243700","https://openalex.org/W2754534665","https://openalex.org/W2784646928","https://openalex.org/W2795105096","https://openalex.org/W2891718801","https://openalex.org/W2894678789","https://openalex.org/W2914029293","https://openalex.org/W2963515833","https://openalex.org/W2969346182","https://openalex.org/W2969513800","https://openalex.org/W2970872060","https://openalex.org/W2982586672","https://openalex.org/W6747911505"],"related_works":["https://openalex.org/W4386436071","https://openalex.org/W1865242774","https://openalex.org/W2624451073","https://openalex.org/W2029249305","https://openalex.org/W2144792299","https://openalex.org/W2159704977","https://openalex.org/W3089173771","https://openalex.org/W2997897143","https://openalex.org/W2333544554","https://openalex.org/W2568395347"],"abstract_inverted_index":{"In":[0,101],"this":[1,67,115],"paper,":[2,116],"a":[3,59,128],"nonlinear":[4],"optimization":[5,61],"solver":[6],"is":[7,119,134,137],"proposed":[8,65,113,151],"to":[9,103,122],"establish":[10],"the":[11,19,26,30,40,70,88,105,108,117,150,165],"human":[12,53,91,109,124,152,159],"upper":[13],"body":[14],"motion":[15,110,125,153,160],"capture":[16,93,111,154],"system,":[17],"including":[18],"orientation":[20],"of":[21,29,46,72,90,107,167],"each":[22],"bone":[23],"joint":[24],"and":[25,35,43,52,78,98],"global":[27],"position":[28,50],"hip":[31],"bone.":[32],"5":[33],"IMUs":[34],"one":[36],"Kinect":[37,48,73],"are":[38,56],"used,":[39],"rotation":[41],"data":[42,45,51,74,80],"acceleration":[44],"IMUs,":[47],"skeleton":[49],"pose":[54,92],"prior":[55],"fused":[57],"in":[58,66,94,114,140],"non-linear":[60],"way.":[62],"The":[63,145],"method":[64],"paper":[68],"combines":[69],"characteristics":[71],"with":[75,81],"high":[76],"accuracy":[77,89],"IMU":[79],"stability,":[82],"which":[83,136,162],"can":[84,156,163],"make":[85],"up":[86],"for":[87],"dynamic,":[95],"magnetically":[96],"disturbed":[97],"occlusion":[99],"conditions.":[100],"order":[102],"verify":[104],"practicability":[106],"system":[112,118,155],"firstly":[120],"applied":[121],"real-time":[123],"capture,":[126],"then":[127],"simple":[129],"human-robot":[130],"collaboration":[131],"(HRC)":[132],"case":[133],"implemented,":[135],"very":[138],"common":[139],"modern":[141],"collaborative":[142],"medical":[143],"field.":[144],"experimental":[146],"results":[147],"show":[148],"that":[149],"achieve":[157],"stable":[158],"measurement,":[161],"meet":[164],"needs":[166],"HRC":[168],"scenarios.":[169]},"counts_by_year":[{"year":2026,"cited_by_count":3},{"year":2025,"cited_by_count":3},{"year":2024,"cited_by_count":5},{"year":2023,"cited_by_count":6},{"year":2022,"cited_by_count":4},{"year":2021,"cited_by_count":4}],"updated_date":"2026-07-17T09:13:05.818461","created_date":"2025-10-10T00:00:00"}
