{"id":"https://openalex.org/W2128129460","doi":"https://doi.org/10.1109/iros.2009.5353982","title":"Comparative study of representations for segmentation of whole body human motion data","display_name":"Comparative study of representations for segmentation of whole body human motion data","publication_year":2009,"publication_date":"2009-10-01","ids":{"openalex":"https://openalex.org/W2128129460","doi":"https://doi.org/10.1109/iros.2009.5353982","mag":"2128129460"},"language":"en","primary_location":{"id":"doi:10.1109/iros.2009.5353982","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iros.2009.5353982","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2009 IEEE/RSJ International Conference on Intelligent Robots and Systems","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/A5072377971","display_name":"Dana Kuli\u0107","orcid":"https://orcid.org/0000-0002-4169-2141"},"institutions":[{"id":"https://openalex.org/I151746483","display_name":"University of Waterloo","ror":"https://ror.org/01aff2v68","country_code":"CA","type":"education","lineage":["https://openalex.org/I151746483"]},{"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":["CA","JP"],"is_corresponding":false,"raw_author_name":"Dana Kulic","raw_affiliation_strings":["Department of Electrical and Computer Engineering, University of Waterloo, Waterloo, ONT, Canada","Department of Mechano Informatics, University of Tokyo, Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Electrical and Computer Engineering, University of Waterloo, Waterloo, ONT, Canada","institution_ids":["https://openalex.org/I151746483"]},{"raw_affiliation_string":"Department of Mechano Informatics, University of Tokyo, Japan","institution_ids":["https://openalex.org/I74801974"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5040633710","display_name":"Yoshihiko Nakamura","orcid":"https://orcid.org/0000-0001-7162-5102"},"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":"Yoshihiko Nakamura","raw_affiliation_strings":["Department of Mechano Informatics, University of Tokyo, Bunkyo, Tokyo, Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Mechano Informatics, University of Tokyo, Bunkyo, Tokyo, Japan","institution_ids":["https://openalex.org/I74801974"]}]}],"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":9,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":"5","issue":null,"first_page":"4300","last_page":"4305"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10812","display_name":"Human Pose and Action Recognition","score":0.9995999932289124,"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":0.9995999932289124,"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/T12290","display_name":"Human Motion and Animation","score":0.9958999752998352,"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"}},{"id":"https://openalex.org/T12740","display_name":"Gait Recognition and Analysis","score":0.9941999912261963,"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":0.8375022411346436},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.7107553482055664},{"id":"https://openalex.org/keywords/cartesian-coordinate-system","display_name":"Cartesian coordinate system","score":0.6888765096664429},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6566438674926758},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6532984375953674},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.6213908195495605},{"id":"https://openalex.org/keywords/motion","display_name":"Motion (physics)","score":0.5995064377784729},{"id":"https://openalex.org/keywords/motion-capture","display_name":"Motion capture","score":0.5909053087234497},{"id":"https://openalex.org/keywords/representation","display_name":"Representation (politics)","score":0.5609393119812012},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.22350084781646729},{"id":"https://openalex.org/keywords/geometry","display_name":"Geometry","score":0.15709251165390015},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.07655826210975647}],"concepts":[{"id":"https://openalex.org/C39920418","wikidata":"https://www.wikidata.org/wiki/Q11476","display_name":"Kinematics","level":2,"score":0.8375022411346436},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.7107553482055664},{"id":"https://openalex.org/C16038011","wikidata":"https://www.wikidata.org/wiki/Q62912","display_name":"Cartesian coordinate system","level":2,"score":0.6888765096664429},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6566438674926758},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6532984375953674},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.6213908195495605},{"id":"https://openalex.org/C104114177","wikidata":"https://www.wikidata.org/wiki/Q79782","display_name":"Motion (physics)","level":2,"score":0.5995064377784729},{"id":"https://openalex.org/C48007421","wikidata":"https://www.wikidata.org/wiki/Q676252","display_name":"Motion capture","level":3,"score":0.5909053087234497},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.5609393119812012},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.22350084781646729},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.15709251165390015},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.07655826210975647},{"id":"https://openalex.org/C94625758","wikidata":"https://www.wikidata.org/wiki/Q7163","display_name":"Politics","level":2,"score":0.0},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.0},{"id":"https://openalex.org/C74650414","wikidata":"https://www.wikidata.org/wiki/Q11397","display_name":"Classical mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/iros.2009.5353982","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iros.2009.5353982","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2009 IEEE/RSJ International Conference on Intelligent Robots and Systems","raw_type":"proceedings-article"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.379.7020","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.379.7020","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"https://ece.uwaterloo.ca/~dkulic/pubs/KulicNakamuraIROS2009.pdf","raw_type":"text"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320334764","display_name":"Japan Society for the Promotion of Science","ror":"https://ror.org/00hhkn466"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":32,"referenced_works":["https://openalex.org/W1491100250","https://openalex.org/W1696716473","https://openalex.org/W1885639605","https://openalex.org/W1934413089","https://openalex.org/W1997650413","https://openalex.org/W2017510758","https://openalex.org/W2043152589","https://openalex.org/W2102873422","https://openalex.org/W2104206102","https://openalex.org/W2105433999","https://openalex.org/W2113135938","https://openalex.org/W2115279061","https://openalex.org/W2125838338","https://openalex.org/W2128103053","https://openalex.org/W2130726249","https://openalex.org/W2135858662","https://openalex.org/W2144908914","https://openalex.org/W2154124367","https://openalex.org/W2157513581","https://openalex.org/W2159137406","https://openalex.org/W2161491846","https://openalex.org/W2162103415","https://openalex.org/W2162625901","https://openalex.org/W2169253318","https://openalex.org/W2253907359","https://openalex.org/W2543386152","https://openalex.org/W2546143719","https://openalex.org/W4205362845","https://openalex.org/W6639495472","https://openalex.org/W6676093512","https://openalex.org/W6680176085","https://openalex.org/W6683788672"],"related_works":["https://openalex.org/W2391000165","https://openalex.org/W2003570019","https://openalex.org/W2801692647","https://openalex.org/W1827696521","https://openalex.org/W2039848376","https://openalex.org/W2173450654","https://openalex.org/W2621720158","https://openalex.org/W2130272765","https://openalex.org/W2091722187","https://openalex.org/W2006196742"],"abstract_inverted_index":{"In":[0,37],"previous":[1],"work,":[2],"the":[3,34,42,74,86,125,135,138],"authors":[4],"have":[5],"been":[6],"developing":[7],"a":[8,29,55,109,146],"stochastic":[9],"model":[10,32],"based":[11],"approach":[12,44,98,140],"for":[13,141],"on-line":[14],"segmentation":[15,77,87,139],"of":[16,33,58,128,137,148],"whole":[17,102],"body":[18,103],"human":[19,23,35,59,104,126,149],"motion":[20,24,81,105],"patterns":[21],"during":[22],"observation":[25],"and":[26,84,145],"learning,":[27],"using":[28],"simplified":[30],"kinematic":[31,49,111,143],"body.":[36],"this":[38],"paper,":[39],"we":[40],"extend":[41],"proposed":[43],"to":[45,69,80,120,124],"larger,":[46],"more":[47],"realistic":[48],"models,":[50],"which":[51],"can":[52],"better":[53],"represent":[54],"larger":[56,62],"variety":[57,147],"motions.":[60,150],"These":[61],"models":[63,144],"may":[64],"include":[65],"spherical":[66],"in":[67],"addition":[68],"revolute":[70],"joints.":[71],"We":[72],"examine":[73],"effects":[75],"on":[76,101],"performance":[78],"due":[79],"representation":[82],"choice,":[83],"compare":[85],"efficacy":[88,136],"when":[89],"Cartesian":[90,117],"or":[91],"joint":[92],"angle":[93],"data":[94,106,118],"is":[95,99],"used.":[96],"The":[97,113,131],"tested":[100],"modeled":[107],"with":[108],"42DoF":[110],"model.":[112],"results":[114],"indicate":[115],"that":[116],"seems":[119],"correspond":[121],"most":[122],"closely":[123],"evaluation":[127],"segment":[129],"points.":[130],"experiments":[132],"also":[133],"demonstrate":[134],"large":[142]},"counts_by_year":[{"year":2016,"cited_by_count":1},{"year":2015,"cited_by_count":2},{"year":2014,"cited_by_count":1},{"year":2012,"cited_by_count":1}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}