{"id":"https://openalex.org/W2944987208","doi":"https://doi.org/10.1145/3306131.3317027","title":"Adaptive gaussian mixture trajectory model for physical model control using motion capture data","display_name":"Adaptive gaussian mixture trajectory model for physical model control using motion capture data","publication_year":2019,"publication_date":"2019-05-20","ids":{"openalex":"https://openalex.org/W2944987208","doi":"https://doi.org/10.1145/3306131.3317027","mag":"2944987208"},"language":"en","primary_location":{"id":"doi:10.1145/3306131.3317027","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3306131.3317027","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the ACM SIGGRAPH Symposium on Interactive 3D Graphics and Games","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/A5102982817","display_name":"Erik Herrmann","orcid":"https://orcid.org/0000-0003-1052-9883"},"institutions":[{"id":"https://openalex.org/I91712215","display_name":"Saarland University","ror":"https://ror.org/01jdpyv68","country_code":"DE","type":"education","lineage":["https://openalex.org/I91712215"]}],"countries":["DE"],"is_corresponding":true,"raw_author_name":"Erik Herrmann","raw_affiliation_strings":["Saarland University, Saarbr\u00fccken, Germany"],"affiliations":[{"raw_affiliation_string":"Saarland University, Saarbr\u00fccken, Germany","institution_ids":["https://openalex.org/I91712215"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5066934151","display_name":"Han Du","orcid":"https://orcid.org/0000-0003-2248-3990"},"institutions":[{"id":"https://openalex.org/I91712215","display_name":"Saarland University","ror":"https://ror.org/01jdpyv68","country_code":"DE","type":"education","lineage":["https://openalex.org/I91712215"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Han Du","raw_affiliation_strings":["Saarland University, Saarbr\u00fccken, Germany"],"affiliations":[{"raw_affiliation_string":"Saarland University, Saarbr\u00fccken, Germany","institution_ids":["https://openalex.org/I91712215"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5065633044","display_name":"Noshaba Cheema","orcid":"https://orcid.org/0000-0003-1275-4080"},"institutions":[{"id":"https://openalex.org/I91712215","display_name":"Saarland University","ror":"https://ror.org/01jdpyv68","country_code":"DE","type":"education","lineage":["https://openalex.org/I91712215"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Noshaba Cheema","raw_affiliation_strings":["Saarland University, Saarbr\u00fccken, Germany"],"affiliations":[{"raw_affiliation_string":"Saarland University, Saarbr\u00fccken, Germany","institution_ids":["https://openalex.org/I91712215"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5072014783","display_name":"Janis Sprenger","orcid":null},"institutions":[{"id":"https://openalex.org/I91712215","display_name":"Saarland University","ror":"https://ror.org/01jdpyv68","country_code":"DE","type":"education","lineage":["https://openalex.org/I91712215"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Janis Sprenger","raw_affiliation_strings":["Saarland University, Saarbr\u00fccken, Germany"],"affiliations":[{"raw_affiliation_string":"Saarland University, Saarbr\u00fccken, Germany","institution_ids":["https://openalex.org/I91712215"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102987749","display_name":"Somayeh Hosseini","orcid":"https://orcid.org/0000-0003-1313-000X"},"institutions":[{"id":"https://openalex.org/I91712215","display_name":"Saarland University","ror":"https://ror.org/01jdpyv68","country_code":"DE","type":"education","lineage":["https://openalex.org/I91712215"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Somayeh Hosseini","raw_affiliation_strings":["Saarland University, Saarbr\u00fccken, Germany"],"affiliations":[{"raw_affiliation_string":"Saarland University, Saarbr\u00fccken, Germany","institution_ids":["https://openalex.org/I91712215"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5109909335","display_name":"Klaus Fischer","orcid":null},"institutions":[{"id":"https://openalex.org/I91712215","display_name":"Saarland University","ror":"https://ror.org/01jdpyv68","country_code":"DE","type":"education","lineage":["https://openalex.org/I91712215"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Klaus Fischer","raw_affiliation_strings":["Saarland University, Saarbr\u00fccken, Germany"],"affiliations":[{"raw_affiliation_string":"Saarland University, Saarbr\u00fccken, Germany","institution_ids":["https://openalex.org/I91712215"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5026514026","display_name":"Philipp Slusallek","orcid":null},"institutions":[{"id":"https://openalex.org/I91712215","display_name":"Saarland University","ror":"https://ror.org/01jdpyv68","country_code":"DE","type":"education","lineage":["https://openalex.org/I91712215"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Philipp Slusallek","raw_affiliation_strings":["Saarland University, Saarbr\u00fccken, Germany"],"affiliations":[{"raw_affiliation_string":"Saarland University, Saarbr\u00fccken, Germany","institution_ids":["https://openalex.org/I91712215"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":7,"corresponding_author_ids":["https://openalex.org/A5102982817"],"corresponding_institution_ids":["https://openalex.org/I91712215"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.03879204,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"8"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12290","display_name":"Human Motion and Animation","score":0.9998999834060669,"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"}},"topics":[{"id":"https://openalex.org/T12290","display_name":"Human Motion and Animation","score":0.9998999834060669,"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/T10812","display_name":"Human Pose and Action Recognition","score":0.9972000122070312,"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/T11439","display_name":"Video Analysis and Summarization","score":0.9955000281333923,"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/computer-science","display_name":"Computer science","score":0.7003270387649536},{"id":"https://openalex.org/keywords/motion-capture","display_name":"Motion capture","score":0.6760754585266113},{"id":"https://openalex.org/keywords/trajectory","display_name":"Trajectory","score":0.6280251741409302},{"id":"https://openalex.org/keywords/sampling","display_name":"Sampling (signal processing)","score":0.5249925851821899},{"id":"https://openalex.org/keywords/character","display_name":"Character (mathematics)","score":0.4730890393257141},{"id":"https://openalex.org/keywords/gaussian-process","display_name":"Gaussian process","score":0.46989867091178894},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.46849164366722107},{"id":"https://openalex.org/keywords/tracking","display_name":"Tracking (education)","score":0.4630902111530304},{"id":"https://openalex.org/keywords/gaussian","display_name":"Gaussian","score":0.45493775606155396},{"id":"https://openalex.org/keywords/adaptive-sampling","display_name":"Adaptive sampling","score":0.4496477544307709},{"id":"https://openalex.org/keywords/covariance-matrix","display_name":"Covariance matrix","score":0.4402337670326233},{"id":"https://openalex.org/keywords/mixture-model","display_name":"Mixture model","score":0.42072534561157227},{"id":"https://openalex.org/keywords/motion","display_name":"Motion (physics)","score":0.40940549969673157},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.40718698501586914},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.3802843987941742},{"id":"https://openalex.org/keywords/monte-carlo-method","display_name":"Monte Carlo method","score":0.17406409978866577},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.16779011487960815}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7003270387649536},{"id":"https://openalex.org/C48007421","wikidata":"https://www.wikidata.org/wiki/Q676252","display_name":"Motion capture","level":3,"score":0.6760754585266113},{"id":"https://openalex.org/C13662910","wikidata":"https://www.wikidata.org/wiki/Q193139","display_name":"Trajectory","level":2,"score":0.6280251741409302},{"id":"https://openalex.org/C140779682","wikidata":"https://www.wikidata.org/wiki/Q210868","display_name":"Sampling (signal processing)","level":3,"score":0.5249925851821899},{"id":"https://openalex.org/C2780861071","wikidata":"https://www.wikidata.org/wiki/Q1062934","display_name":"Character (mathematics)","level":2,"score":0.4730890393257141},{"id":"https://openalex.org/C61326573","wikidata":"https://www.wikidata.org/wiki/Q1496376","display_name":"Gaussian process","level":3,"score":0.46989867091178894},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.46849164366722107},{"id":"https://openalex.org/C2775936607","wikidata":"https://www.wikidata.org/wiki/Q466845","display_name":"Tracking (education)","level":2,"score":0.4630902111530304},{"id":"https://openalex.org/C163716315","wikidata":"https://www.wikidata.org/wiki/Q901177","display_name":"Gaussian","level":2,"score":0.45493775606155396},{"id":"https://openalex.org/C2781395549","wikidata":"https://www.wikidata.org/wiki/Q4680762","display_name":"Adaptive sampling","level":3,"score":0.4496477544307709},{"id":"https://openalex.org/C185142706","wikidata":"https://www.wikidata.org/wiki/Q1134404","display_name":"Covariance matrix","level":2,"score":0.4402337670326233},{"id":"https://openalex.org/C61224824","wikidata":"https://www.wikidata.org/wiki/Q2260434","display_name":"Mixture model","level":2,"score":0.42072534561157227},{"id":"https://openalex.org/C104114177","wikidata":"https://www.wikidata.org/wiki/Q79782","display_name":"Motion (physics)","level":2,"score":0.40940549969673157},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.40718698501586914},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.3802843987941742},{"id":"https://openalex.org/C19499675","wikidata":"https://www.wikidata.org/wiki/Q232207","display_name":"Monte Carlo method","level":2,"score":0.17406409978866577},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.16779011487960815},{"id":"https://openalex.org/C106131492","wikidata":"https://www.wikidata.org/wiki/Q3072260","display_name":"Filter (signal processing)","level":2,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C1276947","wikidata":"https://www.wikidata.org/wiki/Q333","display_name":"Astronomy","level":1,"score":0.0},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","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/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"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:10.1145/3306131.3317027","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3306131.3317027","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the ACM SIGGRAPH Symposium on Interactive 3D Graphics and Games","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G7060801398","display_name":null,"funder_award_id":"01IS18060C","funder_id":"https://openalex.org/F4320325600","funder_display_name":"ITEA3"}],"funders":[{"id":"https://openalex.org/F4320321114","display_name":"Bundesministerium f\u00fcr Bildung und Forschung","ror":"https://ror.org/04pz7b180"},{"id":"https://openalex.org/F4320325600","display_name":"ITEA3","ror":null}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":32,"referenced_works":["https://openalex.org/W102487131","https://openalex.org/W1585610988","https://openalex.org/W1964965610","https://openalex.org/W1990932462","https://openalex.org/W1996626756","https://openalex.org/W2001165022","https://openalex.org/W2018571963","https://openalex.org/W2033655806","https://openalex.org/W2053621240","https://openalex.org/W2067595006","https://openalex.org/W2070736631","https://openalex.org/W2072118986","https://openalex.org/W2120003827","https://openalex.org/W2125298102","https://openalex.org/W2135174216","https://openalex.org/W2135482027","https://openalex.org/W2143978329","https://openalex.org/W2168933799","https://openalex.org/W2403968758","https://openalex.org/W2434014514","https://openalex.org/W2536057734","https://openalex.org/W2639698109","https://openalex.org/W2736601468","https://openalex.org/W2739232183","https://openalex.org/W2739330054","https://openalex.org/W2796290181","https://openalex.org/W2811063752","https://openalex.org/W2894766094","https://openalex.org/W3104515094","https://openalex.org/W4205985701","https://openalex.org/W4241522606","https://openalex.org/W4241614188"],"related_works":["https://openalex.org/W1975321310","https://openalex.org/W1952261593","https://openalex.org/W2014494654","https://openalex.org/W2990323019","https://openalex.org/W3130349901","https://openalex.org/W1579833936","https://openalex.org/W1992295166","https://openalex.org/W2143508933","https://openalex.org/W4226172753","https://openalex.org/W4386363027"],"abstract_inverted_index":{"To":[0],"enable":[1],"the":[2,7,16,25,38,66,97,121,125,128,138,145,148],"physically":[3],"correct":[4],"simulation":[5],"of":[6,9,20,24,68,84,117,133,140,150],"interaction":[8],"a":[10,21,42,61,72,93,109,113],"3D":[11,161],"character":[12,26,162],"with":[13,112],"its":[14],"environment":[15],"internal":[17],"joint":[18],"forces":[19],"physical":[22],"model":[23,75,111],"need":[27],"to":[28],"be":[29],"estimated.":[30],"Recently,":[31],"derivative-free":[32],"sampling-based":[33,63],"optimization":[34,129],"methods,":[35],"which":[36,136],"treat":[37],"objective":[39],"function":[40],"as":[41,108],"black":[43],"box,":[44],"have":[45],"shown":[46],"great":[47],"results":[48],"for":[49,53,65,71,147],"finding":[50],"control":[51,69,90],"signals":[52,70],"articulated":[54],"figures":[55,155],"in":[56,124],"physics":[57],"simulations.":[58],"We":[59,143],"present":[60],"novel":[62],"approach":[64],"reconstruction":[67],"rigid":[73],"body":[74],"based":[76,119],"on":[77,120],"motion":[78,151],"capture":[79,152],"data":[80],"that":[81,156],"combines":[82],"ideas":[83],"previous":[85],"approaches.":[86],"The":[87,103],"algorithm":[88,146],"optimizes":[89],"trajectories":[91],"along":[92],"sliding":[94],"window":[95],"using":[96,154],"Covariance":[98],"Matrix":[99],"Adaption":[100],"Evolution":[101],"Strategy.":[102],"sampling":[104],"distribution":[105],"is":[106],"represented":[107],"mixture":[110],"dynamically":[114],"selected":[115],"number":[116],"clusters":[118],"variation":[122],"detected":[123],"samples.":[126],"During":[127],"we":[130],"keep":[131],"track":[132],"multiple":[134,141],"states":[135],"enables":[137],"exploration":[139],"paths.":[142],"evaluate":[144],"task":[149],"following":[153],"were":[157],"automatically":[158],"generated":[159],"from":[160],"models.":[163]},"counts_by_year":[{"year":2023,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}