{"id":"https://openalex.org/W2554986796","doi":"https://doi.org/10.1145/2998559.2998564","title":"Real-time Physics-based Motion Capture with Sparse Sensors","display_name":"Real-time Physics-based Motion Capture with Sparse Sensors","publication_year":2016,"publication_date":"2016-11-14","ids":{"openalex":"https://openalex.org/W2554986796","doi":"https://doi.org/10.1145/2998559.2998564","mag":"2554986796"},"language":"en","primary_location":{"id":"doi:10.1145/2998559.2998564","is_oa":false,"landing_page_url":"https://doi.org/10.1145/2998559.2998564","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 13th European Conference on Visual Media Production (CVMP 2016)","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/A5020591092","display_name":"Sheldon Andrews","orcid":"https://orcid.org/0000-0001-9776-117X"},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Sheldon Andrews","raw_affiliation_strings":["Disney Research, Edinburgh, UK"],"affiliations":[{"raw_affiliation_string":"Disney Research, Edinburgh, UK","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5065839334","display_name":"Iv\u00e1n Huerta","orcid":"https://orcid.org/0000-0002-4189-4034"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Ivan Huerta","raw_affiliation_strings":["Disney Research, Edinburgh, UK"],"affiliations":[{"raw_affiliation_string":"Disney Research, Edinburgh, UK","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5014324841","display_name":"Taku Komura","orcid":"https://orcid.org/0000-0002-2729-5860"},"institutions":[{"id":"https://openalex.org/I98677209","display_name":"University of Edinburgh","ror":"https://ror.org/01nrxwf90","country_code":"GB","type":"education","lineage":["https://openalex.org/I98677209"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Taku Komura","raw_affiliation_strings":["University of Edinburgh, Edinburgh, UK"],"affiliations":[{"raw_affiliation_string":"University of Edinburgh, Edinburgh, UK","institution_ids":["https://openalex.org/I98677209"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5053011888","display_name":"Leonid Sigal","orcid":"https://orcid.org/0000-0002-3942-2804"},"institutions":[{"id":"https://openalex.org/I4210142140","display_name":"Walt Disney (United States)","ror":"https://ror.org/04eg47h42","country_code":"US","type":"company","lineage":["https://openalex.org/I4210142140"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Leonid Sigal","raw_affiliation_strings":["Disney Research, Pittsburgh, USA"],"affiliations":[{"raw_affiliation_string":"Disney Research, Pittsburgh, USA","institution_ids":["https://openalex.org/I4210142140"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5025634364","display_name":"Kenny Mitchell","orcid":"https://orcid.org/0000-0003-2420-7447"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Kenny Mitchell","raw_affiliation_strings":["Disney Research, Edinburgh, UK"],"affiliations":[{"raw_affiliation_string":"Disney Research, Edinburgh, UK","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5020591092"],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":2.8781,"has_fulltext":false,"cited_by_count":58,"citation_normalized_percentile":{"value":0.94206186,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":97,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"10"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10812","display_name":"Human Pose and Action Recognition","score":0.9998000264167786,"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":0.9998000264167786,"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":0.9998000264167786,"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":0.9966999888420105,"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/motion-capture","display_name":"Motion capture","score":0.7482096552848816},{"id":"https://openalex.org/keywords/inverse-dynamics","display_name":"Inverse dynamics","score":0.676240861415863},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.5842899084091187},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5751793384552002},{"id":"https://openalex.org/keywords/solver","display_name":"Solver","score":0.5254294872283936},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5191004276275635},{"id":"https://openalex.org/keywords/match-moving","display_name":"Match moving","score":0.49401670694351196},{"id":"https://openalex.org/keywords/motion","display_name":"Motion (physics)","score":0.4638277292251587},{"id":"https://openalex.org/keywords/inertial-measurement-unit","display_name":"Inertial measurement unit","score":0.44975724816322327},{"id":"https://openalex.org/keywords/tracking","display_name":"Tracking (education)","score":0.4472096562385559},{"id":"https://openalex.org/keywords/humanoid-robot","display_name":"Humanoid robot","score":0.43435609340667725},{"id":"https://openalex.org/keywords/inertial-frame-of-reference","display_name":"Inertial frame of reference","score":0.43405386805534363},{"id":"https://openalex.org/keywords/torque","display_name":"Torque","score":0.4322555363178253},{"id":"https://openalex.org/keywords/robot","display_name":"Robot","score":0.3018942177295685},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.29769980907440186},{"id":"https://openalex.org/keywords/kinematics","display_name":"Kinematics","score":0.2328242063522339},{"id":"https://openalex.org/keywords/classical-mechanics","display_name":"Classical mechanics","score":0.1392635703086853}],"concepts":[{"id":"https://openalex.org/C48007421","wikidata":"https://www.wikidata.org/wiki/Q676252","display_name":"Motion capture","level":3,"score":0.7482096552848816},{"id":"https://openalex.org/C187523126","wikidata":"https://www.wikidata.org/wiki/Q17098330","display_name":"Inverse dynamics","level":3,"score":0.676240861415863},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5842899084091187},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5751793384552002},{"id":"https://openalex.org/C2778770139","wikidata":"https://www.wikidata.org/wiki/Q1966904","display_name":"Solver","level":2,"score":0.5254294872283936},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5191004276275635},{"id":"https://openalex.org/C95020103","wikidata":"https://www.wikidata.org/wiki/Q1813492","display_name":"Match moving","level":3,"score":0.49401670694351196},{"id":"https://openalex.org/C104114177","wikidata":"https://www.wikidata.org/wiki/Q79782","display_name":"Motion (physics)","level":2,"score":0.4638277292251587},{"id":"https://openalex.org/C79061980","wikidata":"https://www.wikidata.org/wiki/Q941680","display_name":"Inertial measurement unit","level":2,"score":0.44975724816322327},{"id":"https://openalex.org/C2775936607","wikidata":"https://www.wikidata.org/wiki/Q466845","display_name":"Tracking (education)","level":2,"score":0.4472096562385559},{"id":"https://openalex.org/C60692881","wikidata":"https://www.wikidata.org/wiki/Q584529","display_name":"Humanoid robot","level":3,"score":0.43435609340667725},{"id":"https://openalex.org/C173386949","wikidata":"https://www.wikidata.org/wiki/Q192735","display_name":"Inertial frame of reference","level":2,"score":0.43405386805534363},{"id":"https://openalex.org/C144171764","wikidata":"https://www.wikidata.org/wiki/Q48103","display_name":"Torque","level":2,"score":0.4322555363178253},{"id":"https://openalex.org/C90509273","wikidata":"https://www.wikidata.org/wiki/Q11012","display_name":"Robot","level":2,"score":0.3018942177295685},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.29769980907440186},{"id":"https://openalex.org/C39920418","wikidata":"https://www.wikidata.org/wiki/Q11476","display_name":"Kinematics","level":2,"score":0.2328242063522339},{"id":"https://openalex.org/C74650414","wikidata":"https://www.wikidata.org/wiki/Q11397","display_name":"Classical mechanics","level":1,"score":0.1392635703086853},{"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/C19417346","wikidata":"https://www.wikidata.org/wiki/Q7922","display_name":"Pedagogy","level":1,"score":0.0},{"id":"https://openalex.org/C97355855","wikidata":"https://www.wikidata.org/wiki/Q11473","display_name":"Thermodynamics","level":1,"score":0.0},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1145/2998559.2998564","is_oa":false,"landing_page_url":"https://doi.org/10.1145/2998559.2998564","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 13th European Conference on Visual Media Production (CVMP 2016)","raw_type":"proceedings-article"},{"id":"pmh:oai:napier-surface.worktribe.com:951430","is_oa":false,"landing_page_url":"http://researchrepository.napier.ac.uk/Output/951430","pdf_url":null,"source":{"id":"https://openalex.org/S4306400544","display_name":"Research Output (Edinburgh Napier University)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I251738","host_organization_name":"Edinburgh Napier University","host_organization_lineage":["https://openalex.org/I251738"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"Conference Proceeding"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/11","display_name":"Sustainable cities and communities","score":0.41999998688697815}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":27,"referenced_works":["https://openalex.org/W80316205","https://openalex.org/W1531326366","https://openalex.org/W1964130324","https://openalex.org/W1975956786","https://openalex.org/W1976879866","https://openalex.org/W1982785943","https://openalex.org/W1982905909","https://openalex.org/W1988608780","https://openalex.org/W1989191365","https://openalex.org/W1990932462","https://openalex.org/W2027389517","https://openalex.org/W2033777009","https://openalex.org/W2051549110","https://openalex.org/W2056023335","https://openalex.org/W2072118986","https://openalex.org/W2099563900","https://openalex.org/W2110331760","https://openalex.org/W2126022292","https://openalex.org/W2131389448","https://openalex.org/W2210064930","https://openalex.org/W2274304047","https://openalex.org/W2333544554","https://openalex.org/W2461005315","https://openalex.org/W2490500941","https://openalex.org/W2535579907","https://openalex.org/W3139397654","https://openalex.org/W4236611057"],"related_works":["https://openalex.org/W2997729061","https://openalex.org/W2541098390","https://openalex.org/W3135709989","https://openalex.org/W3196329781","https://openalex.org/W2618272117","https://openalex.org/W4387399000","https://openalex.org/W4207023496","https://openalex.org/W4295036543","https://openalex.org/W585325435","https://openalex.org/W4317826877"],"abstract_inverted_index":{"We":[0,90],"propose":[1],"a":[2,99],"framework":[3],"for":[4,143],"real-time":[5],"tracking":[6],"of":[7,27,38,72,74,79,102],"humans":[8],"using":[9,84],"sparse":[10],"multi-modal":[11],"sensor":[12],"sets,":[13],"including":[14,105],"data":[15],"obtained":[16,135],"from":[17],"optical":[18],"markers":[19],"and":[20,45,58,97,113,124,132],"inertial":[21],"measurement":[22],"units.":[23],"A":[24,61],"small":[25],"number":[26],"sensors":[28],"leaves":[29],"the":[30,39,116,129],"performer":[31],"unencumbered":[32],"by":[33,54],"not":[34],"requiring":[35],"dense":[36],"coverage":[37],"body.":[40],"An":[41],"inverse":[42],"dynamics":[43],"solver":[44],"physics-based":[46],"body":[47],"model":[48,63],"are":[49,134],"used,":[50],"ensuring":[51],"physical":[52],"plausibility":[53],"computing":[55],"joint":[56],"torques":[57],"contact":[59],"forces.":[60],"prior":[62],"is":[64,82,140],"also":[65,141],"used":[66],"to":[67],"give":[68],"an":[69],"improved":[70],"estimate":[71],"motion":[73,88,120],"internal":[75,130],"joints.":[76],"The":[77,118],"behaviour":[78],"our":[80,93],"tracker":[81],"evaluated":[83],"several":[85],"black":[86],"box":[87],"priors.":[89],"show":[91],"that":[92],"system":[94],"can":[95],"track":[96],"simulate":[98],"wide":[100],"range":[101],"dynamic":[103],"movements":[104,109],"bipedal":[106],"gait,":[107],"ballistic":[108],"such":[110],"as":[111],"jumping,":[112],"interaction":[114],"with":[115,136],"environment.":[117],"reconstructed":[119],"has":[121],"low":[122],"error":[123],"appears":[125],"natural.":[126],"As":[127],"both":[128],"forces":[131],"contacts":[133],"high":[137],"credibility,":[138],"it":[139],"useful":[142],"human":[144],"movement":[145],"analysis.":[146]},"counts_by_year":[{"year":2025,"cited_by_count":4},{"year":2024,"cited_by_count":5},{"year":2023,"cited_by_count":7},{"year":2022,"cited_by_count":7},{"year":2021,"cited_by_count":14},{"year":2020,"cited_by_count":4},{"year":2019,"cited_by_count":4},{"year":2018,"cited_by_count":8},{"year":2017,"cited_by_count":5}],"updated_date":"2026-03-10T16:38:18.471706","created_date":"2025-10-10T00:00:00"}