{"id":"https://openalex.org/W4313562886","doi":"https://doi.org/10.1109/humanoids53995.2022.10000195","title":"Inverse Kinematics of Hybrid Multi-link System and its Application to Motion Capture for Athlete Wearing Sports Prosthesis","display_name":"Inverse Kinematics of Hybrid Multi-link System and its Application to Motion Capture for Athlete Wearing Sports Prosthesis","publication_year":2022,"publication_date":"2022-11-28","ids":{"openalex":"https://openalex.org/W4313562886","doi":"https://doi.org/10.1109/humanoids53995.2022.10000195"},"language":"en","primary_location":{"id":"doi:10.1109/humanoids53995.2022.10000195","is_oa":false,"landing_page_url":"https://doi.org/10.1109/humanoids53995.2022.10000195","pdf_url":null,"source":{"id":"https://openalex.org/S4363608580","display_name":"2022 IEEE-RAS 21st International Conference on Humanoid Robots (Humanoids)","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 IEEE-RAS 21st International Conference on Humanoid Robots (Humanoids)","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/A5100654454","display_name":"Sung-Hee Kim","orcid":"https://orcid.org/0000-0002-9716-8349"},"institutions":[{"id":"https://openalex.org/I74801974","display_name":"The University of Tokyo","ror":"https://ror.org/057zh3y96","country_code":"JP","type":"education","lineage":["https://openalex.org/I74801974"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Sunghee Kim","raw_affiliation_strings":["Univ. of Tokyo,Department of Mechano-informatics,Tokyo,Japan,113-8656"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Univ. of Tokyo,Department of Mechano-informatics,Tokyo,Japan,113-8656","institution_ids":["https://openalex.org/I74801974"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5003940459","display_name":"Taiki Ishigaki","orcid":"https://orcid.org/0000-0002-9122-8187"},"institutions":[{"id":"https://openalex.org/I74801974","display_name":"The University of Tokyo","ror":"https://ror.org/057zh3y96","country_code":"JP","type":"education","lineage":["https://openalex.org/I74801974"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Taiki Ishigaki","raw_affiliation_strings":["Univ. of Tokyo,Department of Mechano-informatics,Tokyo,Japan,113-8656"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Univ. of Tokyo,Department of Mechano-informatics,Tokyo,Japan,113-8656","institution_ids":["https://openalex.org/I74801974"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5005111171","display_name":"Yuta Shimane","orcid":"https://orcid.org/0009-0009-1609-9811"},"institutions":[{"id":"https://openalex.org/I74801974","display_name":"The University of Tokyo","ror":"https://ror.org/057zh3y96","country_code":"JP","type":"education","lineage":["https://openalex.org/I74801974"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Yuta Shimane","raw_affiliation_strings":["Univ. of Tokyo,Department of Mechano-informatics,Tokyo,Japan,113-8656"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Univ. of Tokyo,Department of Mechano-informatics,Tokyo,Japan,113-8656","institution_ids":["https://openalex.org/I74801974"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5105505750","display_name":"Yosuke Ikegami","orcid":null},"institutions":[{"id":"https://openalex.org/I74801974","display_name":"The University of Tokyo","ror":"https://ror.org/057zh3y96","country_code":"JP","type":"education","lineage":["https://openalex.org/I74801974"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Yosuke Ikegami","raw_affiliation_strings":["Univ. of Tokyo,Department of Mechano-informatics,Tokyo,Japan,113-8656"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Univ. of Tokyo,Department of Mechano-informatics,Tokyo,Japan,113-8656","institution_ids":["https://openalex.org/I74801974"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5035701118","display_name":"Ko Yamamoto","orcid":"https://orcid.org/0000-0002-9558-3880"},"institutions":[{"id":"https://openalex.org/I74801974","display_name":"The University of Tokyo","ror":"https://ror.org/057zh3y96","country_code":"JP","type":"education","lineage":["https://openalex.org/I74801974"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Ko Yamamoto","raw_affiliation_strings":["Univ. of Tokyo,Department of Mechano-informatics,Tokyo,Japan,113-8656"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Univ. of Tokyo,Department of Mechano-informatics,Tokyo,Japan,113-8656","institution_ids":["https://openalex.org/I74801974"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":1.2776,"has_fulltext":false,"cited_by_count":5,"citation_normalized_percentile":{"value":0.81145943,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":98},"biblio":{"volume":null,"issue":null,"first_page":"837","last_page":"842"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10784","display_name":"Muscle activation and electromyography studies","score":0.9994000196456909,"subfield":{"id":"https://openalex.org/subfields/2204","display_name":"Biomedical Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T10784","display_name":"Muscle activation and electromyography studies","score":0.9994000196456909,"subfield":{"id":"https://openalex.org/subfields/2204","display_name":"Biomedical Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11023","display_name":"Prosthetics and Rehabilitation Robotics","score":0.9994000196456909,"subfield":{"id":"https://openalex.org/subfields/2204","display_name":"Biomedical Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10868","display_name":"Soft Robotics and Applications","score":0.9962999820709229,"subfield":{"id":"https://openalex.org/subfields/2204","display_name":"Biomedical 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/kinematics","display_name":"Kinematics","score":0.7322909235954285},{"id":"https://openalex.org/keywords/motion-capture","display_name":"Motion capture","score":0.7202339172363281},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6859537363052368},{"id":"https://openalex.org/keywords/inverse-kinematics","display_name":"Inverse kinematics","score":0.6850639581680298},{"id":"https://openalex.org/keywords/motion","display_name":"Motion (physics)","score":0.6423040628433228},{"id":"https://openalex.org/keywords/motion-analysis","display_name":"Motion analysis","score":0.5100978016853333},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.41215604543685913},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.40944698452949524},{"id":"https://openalex.org/keywords/simulation","display_name":"Simulation","score":0.3741433322429657},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.12471514940261841},{"id":"https://openalex.org/keywords/robot","display_name":"Robot","score":0.08618578314781189}],"concepts":[{"id":"https://openalex.org/C39920418","wikidata":"https://www.wikidata.org/wiki/Q11476","display_name":"Kinematics","level":2,"score":0.7322909235954285},{"id":"https://openalex.org/C48007421","wikidata":"https://www.wikidata.org/wiki/Q676252","display_name":"Motion capture","level":3,"score":0.7202339172363281},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6859537363052368},{"id":"https://openalex.org/C17816587","wikidata":"https://www.wikidata.org/wiki/Q1501872","display_name":"Inverse kinematics","level":3,"score":0.6850639581680298},{"id":"https://openalex.org/C104114177","wikidata":"https://www.wikidata.org/wiki/Q79782","display_name":"Motion (physics)","level":2,"score":0.6423040628433228},{"id":"https://openalex.org/C2777036941","wikidata":"https://www.wikidata.org/wiki/Q6917771","display_name":"Motion analysis","level":2,"score":0.5100978016853333},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.41215604543685913},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.40944698452949524},{"id":"https://openalex.org/C44154836","wikidata":"https://www.wikidata.org/wiki/Q45045","display_name":"Simulation","level":1,"score":0.3741433322429657},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.12471514940261841},{"id":"https://openalex.org/C90509273","wikidata":"https://www.wikidata.org/wiki/Q11012","display_name":"Robot","level":2,"score":0.08618578314781189},{"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/humanoids53995.2022.10000195","is_oa":false,"landing_page_url":"https://doi.org/10.1109/humanoids53995.2022.10000195","pdf_url":null,"source":{"id":"https://openalex.org/S4363608580","display_name":"2022 IEEE-RAS 21st International Conference on Humanoid Robots (Humanoids)","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 IEEE-RAS 21st International Conference on Humanoid Robots (Humanoids)","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":14,"referenced_works":["https://openalex.org/W1508861003","https://openalex.org/W1605573896","https://openalex.org/W1976730947","https://openalex.org/W2097770951","https://openalex.org/W2101667962","https://openalex.org/W2111921539","https://openalex.org/W2130281033","https://openalex.org/W2138233825","https://openalex.org/W2515099720","https://openalex.org/W2804390724","https://openalex.org/W2890561284","https://openalex.org/W2897331346","https://openalex.org/W2897782084","https://openalex.org/W4312257766"],"related_works":["https://openalex.org/W2084494155","https://openalex.org/W2119963650","https://openalex.org/W2972304526","https://openalex.org/W2380210784","https://openalex.org/W2770397302","https://openalex.org/W998473388","https://openalex.org/W2375415610","https://openalex.org/W1996912299","https://openalex.org/W2055991023","https://openalex.org/W2130272765"],"abstract_inverted_index":{"This":[0,86],"paper":[1],"presents":[2],"the":[3,17,40,43,47,51,56,66,93,107,115,124,142,149],"kinematics":[4,109],"of":[5,22,50,95,114,132],"soft-rigid":[6],"hybrid":[7,87,144],"multi-link":[8],"system":[9,79,89],"and":[10,46,72,139],"its":[11],"application":[12],"to":[13,38,118],"motion":[14,18,27,94,122,125],"analysis":[15],"by":[16],"capture":[19,126],"measurement.":[20,127],"Analysis":[21],"a":[23,29,60,76,82,99,120,133,136],"gait":[24],"or":[25],"sprint":[26],"including":[28],"sports":[30,137],"prosthetic":[31],"leg":[32],"is":[33,112],"challenging":[34],"because":[35],"we":[36,64,104],"need":[37],"consider":[39],"interaction":[41],"between":[42],"human":[44,83,121],"body":[45],"flexible":[48,57],"deformation":[49,58],"prosthesis.":[52,100],"To":[53],"precisely":[54],"calculate":[55],"with":[59,75],"low":[61],"computational":[62],"cost,":[63],"employ":[65],"piece-wise":[67],"constant":[68],"strain":[69],"(PCS)":[70],"model,":[71],"integrate":[73],"it":[74],"rigid-body":[77],"link":[78,88,145],"that":[80,111,141],"represents":[81],"skeleton":[84],"motion.":[85,151],"can":[90,147],"appropriately":[91],"represent":[92],"an":[96,130],"athlete":[97],"wearing":[98,135],"In":[101],"this":[102],"paper,":[103],"focus":[105],"on":[106],"inverse":[108],"(IK)":[110],"one":[113],"fundamental":[116],"calculations":[117],"analyze":[119],"from":[123],"We":[128],"report":[129],"experiment":[131],"subject":[134],"prosthesis":[138],"validate":[140],"proposed":[143],"IK":[146],"reconstruct":[148],"measured":[150]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":2},{"year":2022,"cited_by_count":1}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}