{"id":"https://openalex.org/W2014664434","doi":"https://doi.org/10.1145/1966394.1966398","title":"Physically valid statistical models for human motion generation","display_name":"Physically valid statistical models for human motion generation","publication_year":2011,"publication_date":"2011-05-01","ids":{"openalex":"https://openalex.org/W2014664434","doi":"https://doi.org/10.1145/1966394.1966398","mag":"2014664434"},"language":"en","primary_location":{"id":"doi:10.1145/1966394.1966398","is_oa":false,"landing_page_url":"https://doi.org/10.1145/1966394.1966398","pdf_url":null,"source":{"id":"https://openalex.org/S185367456","display_name":"ACM Transactions on Graphics","issn_l":"0730-0301","issn":["0730-0301","1557-7368"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319798","host_organization_name":"Association for Computing Machinery","host_organization_lineage":["https://openalex.org/P4310319798"],"host_organization_lineage_names":["Association for Computing Machinery"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ACM Transactions on Graphics","raw_type":"journal-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/A5009222019","display_name":"Xiaolin Wei","orcid":"https://orcid.org/0000-0002-3983-047X"},"institutions":[{"id":"https://openalex.org/I91045830","display_name":"Texas A&M University","ror":"https://ror.org/01f5ytq51","country_code":"US","type":"education","lineage":["https://openalex.org/I91045830"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Xiaolin Wei","raw_affiliation_strings":["Texas A&M University, College Station, TX","Texas A&M University, College Station. TX#TAB#"],"affiliations":[{"raw_affiliation_string":"Texas A&M University, College Station, TX","institution_ids":["https://openalex.org/I91045830"]},{"raw_affiliation_string":"Texas A&M University, College Station. TX#TAB#","institution_ids":["https://openalex.org/I91045830"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5029417447","display_name":"Jianyuan Min","orcid":null},"institutions":[{"id":"https://openalex.org/I91045830","display_name":"Texas A&M University","ror":"https://ror.org/01f5ytq51","country_code":"US","type":"education","lineage":["https://openalex.org/I91045830"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Jianyuan Min","raw_affiliation_strings":["Texas A&M University, College Station, TX","Texas A&M University, College Station. TX#TAB#"],"affiliations":[{"raw_affiliation_string":"Texas A&M University, College Station, TX","institution_ids":["https://openalex.org/I91045830"]},{"raw_affiliation_string":"Texas A&M University, College Station. TX#TAB#","institution_ids":["https://openalex.org/I91045830"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5102307359","display_name":"Jinxiang Chai","orcid":null},"institutions":[{"id":"https://openalex.org/I91045830","display_name":"Texas A&M University","ror":"https://ror.org/01f5ytq51","country_code":"US","type":"education","lineage":["https://openalex.org/I91045830"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Jinxiang Chai","raw_affiliation_strings":["Texas A&M University, College Station, TX","Texas A&M University, College Station. TX#TAB#"],"affiliations":[{"raw_affiliation_string":"Texas A&M University, College Station, TX","institution_ids":["https://openalex.org/I91045830"]},{"raw_affiliation_string":"Texas A&M University, College Station. TX#TAB#","institution_ids":["https://openalex.org/I91045830"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5009222019"],"corresponding_institution_ids":["https://openalex.org/I91045830"],"apc_list":null,"apc_paid":null,"fwci":12.4819,"has_fulltext":false,"cited_by_count":56,"citation_normalized_percentile":{"value":0.98507893,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":99},"biblio":{"volume":"30","issue":"3","first_page":"1","last_page":"10"},"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":0.9994999766349792,"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":0.9851999878883362,"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":0.7531302571296692},{"id":"https://openalex.org/keywords/probabilistic-logic","display_name":"Probabilistic logic","score":0.6906954050064087},{"id":"https://openalex.org/keywords/motion","display_name":"Motion (physics)","score":0.6546493768692017},{"id":"https://openalex.org/keywords/statistical-model","display_name":"Statistical model","score":0.6134957075119019},{"id":"https://openalex.org/keywords/prior-probability","display_name":"Prior probability","score":0.5546266436576843},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4955350160598755},{"id":"https://openalex.org/keywords/range","display_name":"Range (aeronautics)","score":0.49271395802497864},{"id":"https://openalex.org/keywords/field","display_name":"Field (mathematics)","score":0.4842486083507538},{"id":"https://openalex.org/keywords/motion-capture","display_name":"Motion capture","score":0.4684581756591797},{"id":"https://openalex.org/keywords/nonlinear-system","display_name":"Nonlinear system","score":0.4531460404396057},{"id":"https://openalex.org/keywords/gaussian","display_name":"Gaussian","score":0.44642260670661926},{"id":"https://openalex.org/keywords/function","display_name":"Function (biology)","score":0.41549697518348694},{"id":"https://openalex.org/keywords/gaussian-process","display_name":"Gaussian process","score":0.41066235303878784},{"id":"https://openalex.org/keywords/bayesian-probability","display_name":"Bayesian probability","score":0.19816887378692627},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.1654081642627716}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7531302571296692},{"id":"https://openalex.org/C49937458","wikidata":"https://www.wikidata.org/wiki/Q2599292","display_name":"Probabilistic logic","level":2,"score":0.6906954050064087},{"id":"https://openalex.org/C104114177","wikidata":"https://www.wikidata.org/wiki/Q79782","display_name":"Motion (physics)","level":2,"score":0.6546493768692017},{"id":"https://openalex.org/C114289077","wikidata":"https://www.wikidata.org/wiki/Q3284399","display_name":"Statistical model","level":2,"score":0.6134957075119019},{"id":"https://openalex.org/C177769412","wikidata":"https://www.wikidata.org/wiki/Q278090","display_name":"Prior probability","level":3,"score":0.5546266436576843},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4955350160598755},{"id":"https://openalex.org/C204323151","wikidata":"https://www.wikidata.org/wiki/Q905424","display_name":"Range (aeronautics)","level":2,"score":0.49271395802497864},{"id":"https://openalex.org/C9652623","wikidata":"https://www.wikidata.org/wiki/Q190109","display_name":"Field (mathematics)","level":2,"score":0.4842486083507538},{"id":"https://openalex.org/C48007421","wikidata":"https://www.wikidata.org/wiki/Q676252","display_name":"Motion capture","level":3,"score":0.4684581756591797},{"id":"https://openalex.org/C158622935","wikidata":"https://www.wikidata.org/wiki/Q660848","display_name":"Nonlinear system","level":2,"score":0.4531460404396057},{"id":"https://openalex.org/C163716315","wikidata":"https://www.wikidata.org/wiki/Q901177","display_name":"Gaussian","level":2,"score":0.44642260670661926},{"id":"https://openalex.org/C14036430","wikidata":"https://www.wikidata.org/wiki/Q3736076","display_name":"Function (biology)","level":2,"score":0.41549697518348694},{"id":"https://openalex.org/C61326573","wikidata":"https://www.wikidata.org/wiki/Q1496376","display_name":"Gaussian process","level":3,"score":0.41066235303878784},{"id":"https://openalex.org/C107673813","wikidata":"https://www.wikidata.org/wiki/Q812534","display_name":"Bayesian probability","level":2,"score":0.19816887378692627},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.1654081642627716},{"id":"https://openalex.org/C192562407","wikidata":"https://www.wikidata.org/wiki/Q228736","display_name":"Materials science","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/C159985019","wikidata":"https://www.wikidata.org/wiki/Q181790","display_name":"Composite material","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/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C78458016","wikidata":"https://www.wikidata.org/wiki/Q840400","display_name":"Evolutionary biology","level":1,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1145/1966394.1966398","is_oa":false,"landing_page_url":"https://doi.org/10.1145/1966394.1966398","pdf_url":null,"source":{"id":"https://openalex.org/S185367456","display_name":"ACM Transactions on Graphics","issn_l":"0730-0301","issn":["0730-0301","1557-7368"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319798","host_organization_name":"Association for Computing Machinery","host_organization_lineage":["https://openalex.org/P4310319798"],"host_organization_lineage_names":["Association for Computing Machinery"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ACM Transactions on Graphics","raw_type":"journal-article"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.297.3549","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.297.3549","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://faculty.cs.tamu.edu/jchai/projects/TOG-data-physics-2011/physics-data-final.pdf","raw_type":"text"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/14","display_name":"Life below water","score":0.5699999928474426}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":41,"referenced_works":["https://openalex.org/W1571870753","https://openalex.org/W1601055277","https://openalex.org/W1977871568","https://openalex.org/W1982905909","https://openalex.org/W1986720487","https://openalex.org/W1987706689","https://openalex.org/W2001165022","https://openalex.org/W2004987096","https://openalex.org/W2017026595","https://openalex.org/W2025653905","https://openalex.org/W2032893275","https://openalex.org/W2037277559","https://openalex.org/W2043216674","https://openalex.org/W2051567001","https://openalex.org/W2067502459","https://openalex.org/W2073531546","https://openalex.org/W2080592425","https://openalex.org/W2083334152","https://openalex.org/W2086637623","https://openalex.org/W2089528820","https://openalex.org/W2094697451","https://openalex.org/W2097944344","https://openalex.org/W2112802476","https://openalex.org/W2120003827","https://openalex.org/W2120894402","https://openalex.org/W2123236823","https://openalex.org/W2123266123","https://openalex.org/W2125298102","https://openalex.org/W2126034153","https://openalex.org/W2139093517","https://openalex.org/W2150884987","https://openalex.org/W2248685949","https://openalex.org/W2293545866","https://openalex.org/W2293741035","https://openalex.org/W2787523326","https://openalex.org/W4205985701","https://openalex.org/W4233639411","https://openalex.org/W4242577313","https://openalex.org/W4242737140","https://openalex.org/W4246555273","https://openalex.org/W4252718184"],"related_works":["https://openalex.org/W2580650124","https://openalex.org/W4386190339","https://openalex.org/W2968424575","https://openalex.org/W3142333283","https://openalex.org/W3122088529","https://openalex.org/W2111669074","https://openalex.org/W2100805585","https://openalex.org/W2162874930","https://openalex.org/W2169866437","https://openalex.org/W1964286703"],"abstract_inverted_index":{"This":[0],"article":[1],"shows":[2],"how":[3,56],"statistical":[4,80],"motion":[5,16,37,81,118],"priors":[6],"can":[7,85],"be":[8],"combined":[9],"seamlessly":[10],"with":[11,39,45],"physical":[12,46,98],"constraints":[13,47],"for":[14],"human":[15,101],"modeling":[17],"and":[18,42,103,120],"generation.":[19],"The":[20],"key":[21],"idea":[22],"of":[23,68,100,111],"the":[24,60,73,109],"approach":[25],"is":[26],"to":[27,57,63,92],"learn":[28],"a":[29,49,65],"nonlinear":[30],"probabilistic":[31,50],"force":[32],"field":[33],"function":[34],"from":[35],"prerecorded":[36],"data":[38,119],"Gaussian":[40],"processes":[41],"combine":[43],"it":[44],"in":[48,97],"framework.":[51],"In":[52],"addition,":[53],"we":[54],"show":[55],"effectively":[58],"utilize":[59],"new":[61],"model":[62,84],"generate":[64,86],"wide":[66],"range":[67],"natural-looking":[69],"motions":[70],"that":[71,90],"achieve":[72],"goals":[74],"specified":[75],"by":[76,114],"users.":[77],"Unlike":[78],"previous":[79],"models,":[82],"our":[83,112],"physically":[87],"realistic":[88],"animations":[89],"react":[91],"external":[93],"forces":[94],"or":[95],"changes":[96],"quantities":[99],"bodies":[102],"interaction":[104],"environments.":[105],"We":[106],"have":[107],"evaluated":[108],"performance":[110],"system":[113],"comparing":[115],"against":[116],"ground-truth":[117],"alternative":[121],"methods.":[122]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":3},{"year":2022,"cited_by_count":5},{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":3},{"year":2019,"cited_by_count":3},{"year":2018,"cited_by_count":6},{"year":2017,"cited_by_count":2},{"year":2016,"cited_by_count":4},{"year":2015,"cited_by_count":6},{"year":2014,"cited_by_count":7},{"year":2013,"cited_by_count":4},{"year":2012,"cited_by_count":7}],"updated_date":"2026-04-05T17:49:38.594831","created_date":"2025-10-10T00:00:00"}