{"id":"https://openalex.org/W4385299358","doi":"https://doi.org/10.1109/access.2023.3299323","title":"Geometry-Incorporated Posing of a Full-Body Avatar From Sparse Trackers","display_name":"Geometry-Incorporated Posing of a Full-Body Avatar From Sparse Trackers","publication_year":2023,"publication_date":"2023-01-01","ids":{"openalex":"https://openalex.org/W4385299358","doi":"https://doi.org/10.1109/access.2023.3299323"},"language":"en","primary_location":{"id":"doi:10.1109/access.2023.3299323","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2023.3299323","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/6514899/10196323.pdf","source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://ieeexplore.ieee.org/ielx7/6287639/6514899/10196323.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5082399297","display_name":"Taravat Anvari","orcid":"https://orcid.org/0000-0002-8845-6322"},"institutions":[{"id":"https://openalex.org/I67900169","display_name":"Chung-Ang University","ror":"https://ror.org/01r024a98","country_code":"KR","type":"education","lineage":["https://openalex.org/I67900169"]}],"countries":["KR"],"is_corresponding":true,"raw_author_name":"Taravat Anvari","raw_affiliation_strings":["School of Computer Science and Engineering, Chung-Ang University, Seoul, South Korea"],"raw_orcid":"https://orcid.org/0000-0002-8845-6322","affiliations":[{"raw_affiliation_string":"School of Computer Science and Engineering, Chung-Ang University, Seoul, South Korea","institution_ids":["https://openalex.org/I67900169"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5006156730","display_name":"Kyoungju Park","orcid":"https://orcid.org/0000-0003-0198-4729"},"institutions":[{"id":"https://openalex.org/I67900169","display_name":"Chung-Ang University","ror":"https://ror.org/01r024a98","country_code":"KR","type":"education","lineage":["https://openalex.org/I67900169"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Kyoungju Park","raw_affiliation_strings":["School of Computer Science and Engineering, Chung-Ang University, Seoul, South Korea"],"raw_orcid":"https://orcid.org/0000-0003-0198-4729","affiliations":[{"raw_affiliation_string":"School of Computer Science and Engineering, Chung-Ang University, Seoul, South Korea","institution_ids":["https://openalex.org/I67900169"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5082399297"],"corresponding_institution_ids":["https://openalex.org/I67900169"],"apc_list":{"value":1850,"currency":"USD","value_usd":1850},"apc_paid":{"value":1850,"currency":"USD","value_usd":1850},"fwci":0.346,"has_fulltext":true,"cited_by_count":3,"citation_normalized_percentile":{"value":0.58387215,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":95,"max":98},"biblio":{"volume":"11","issue":null,"first_page":"78858","last_page":"78866"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10812","display_name":"Human Pose and Action Recognition","score":0.9997000098228455,"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":0.9997000098228455,"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":0.9997000098228455,"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/T10719","display_name":"3D Shape Modeling and Analysis","score":0.9980000257492065,"subfield":{"id":"https://openalex.org/subfields/2206","display_name":"Computational Mechanics"},"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/computer-science","display_name":"Computer science","score":0.7658978700637817},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.6939811706542969},{"id":"https://openalex.org/keywords/kinematics","display_name":"Kinematics","score":0.6624528169631958},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6272357106208801},{"id":"https://openalex.org/keywords/robustness","display_name":"Robustness (evolution)","score":0.5871376991271973},{"id":"https://openalex.org/keywords/bittorrent-tracker","display_name":"BitTorrent tracker","score":0.5557472109794617},{"id":"https://openalex.org/keywords/avatar","display_name":"Avatar","score":0.5191768407821655},{"id":"https://openalex.org/keywords/frame","display_name":"Frame (networking)","score":0.494048148393631},{"id":"https://openalex.org/keywords/motion-capture","display_name":"Motion capture","score":0.46117058396339417},{"id":"https://openalex.org/keywords/motion","display_name":"Motion (physics)","score":0.17934688925743103},{"id":"https://openalex.org/keywords/eye-tracking","display_name":"Eye tracking","score":0.14097100496292114},{"id":"https://openalex.org/keywords/human\u2013computer-interaction","display_name":"Human\u2013computer interaction","score":0.11865010857582092}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7658978700637817},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.6939811706542969},{"id":"https://openalex.org/C39920418","wikidata":"https://www.wikidata.org/wiki/Q11476","display_name":"Kinematics","level":2,"score":0.6624528169631958},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6272357106208801},{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.5871376991271973},{"id":"https://openalex.org/C57501372","wikidata":"https://www.wikidata.org/wiki/Q2021268","display_name":"BitTorrent tracker","level":3,"score":0.5557472109794617},{"id":"https://openalex.org/C2777365542","wikidata":"https://www.wikidata.org/wiki/Q83090","display_name":"Avatar","level":2,"score":0.5191768407821655},{"id":"https://openalex.org/C126042441","wikidata":"https://www.wikidata.org/wiki/Q1324888","display_name":"Frame (networking)","level":2,"score":0.494048148393631},{"id":"https://openalex.org/C48007421","wikidata":"https://www.wikidata.org/wiki/Q676252","display_name":"Motion capture","level":3,"score":0.46117058396339417},{"id":"https://openalex.org/C104114177","wikidata":"https://www.wikidata.org/wiki/Q79782","display_name":"Motion (physics)","level":2,"score":0.17934688925743103},{"id":"https://openalex.org/C56461940","wikidata":"https://www.wikidata.org/wiki/Q970687","display_name":"Eye tracking","level":2,"score":0.14097100496292114},{"id":"https://openalex.org/C107457646","wikidata":"https://www.wikidata.org/wiki/Q207434","display_name":"Human\u2013computer interaction","level":1,"score":0.11865010857582092},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.0},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","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},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.0},{"id":"https://openalex.org/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","level":1,"score":0.0},{"id":"https://openalex.org/C74650414","wikidata":"https://www.wikidata.org/wiki/Q11397","display_name":"Classical mechanics","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/access.2023.3299323","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2023.3299323","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/6514899/10196323.pdf","source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:31da4fcea381475abc893fb01506f593","is_oa":true,"landing_page_url":"https://doaj.org/article/31da4fcea381475abc893fb01506f593","pdf_url":null,"source":{"id":"https://openalex.org/S4306401280","display_name":"DOAJ (DOAJ: Directory of Open Access Journals)","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":"repository"},"license":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"IEEE Access, Vol 11, Pp 78858-78866 (2023)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1109/access.2023.3299323","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2023.3299323","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/6514899/10196323.pdf","source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G5852912185","display_name":null,"funder_award_id":"NRF-2021R1A2C1014210","funder_id":"https://openalex.org/F4320322349","funder_display_name":"Ministry of Education, Science and Technology"}],"funders":[{"id":"https://openalex.org/F4320322349","display_name":"Ministry of Education, Science and Technology","ror":"https://ror.org/01p262204"}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4385299358.pdf","grobid_xml":"https://content.openalex.org/works/W4385299358.grobid-xml"},"referenced_works_count":33,"referenced_works":["https://openalex.org/W1522301498","https://openalex.org/W1924770834","https://openalex.org/W1967554269","https://openalex.org/W2025831945","https://openalex.org/W2027389517","https://openalex.org/W2064675550","https://openalex.org/W2144499799","https://openalex.org/W2495189854","https://openalex.org/W2605243700","https://openalex.org/W2895689136","https://openalex.org/W2898073175","https://openalex.org/W2903294927","https://openalex.org/W2949924544","https://openalex.org/W2970359710","https://openalex.org/W2978956737","https://openalex.org/W2989506443","https://openalex.org/W3036644940","https://openalex.org/W3113591947","https://openalex.org/W3135142441","https://openalex.org/W3171175619","https://openalex.org/W3175228822","https://openalex.org/W3180730526","https://openalex.org/W4296606964","https://openalex.org/W4328028337","https://openalex.org/W4385245566","https://openalex.org/W6631190155","https://openalex.org/W6640212811","https://openalex.org/W6756792369","https://openalex.org/W6801699072","https://openalex.org/W6801788298","https://openalex.org/W6810142584","https://openalex.org/W6810447614","https://openalex.org/W6840744626"],"related_works":["https://openalex.org/W3138471234","https://openalex.org/W4247958311","https://openalex.org/W4396832849","https://openalex.org/W1584662471","https://openalex.org/W2785089443","https://openalex.org/W2265117524","https://openalex.org/W1467576422","https://openalex.org/W4220730560","https://openalex.org/W2969390373","https://openalex.org/W72160640"],"abstract_inverted_index":{"For":[0],"embodied":[1],"mixed":[2],"reality(MR)":[3],"experiences,":[4],"it":[5],"is":[6,238],"crucial":[7],"to":[8,41,90,130,189,195,241],"accurately":[9],"render":[10],"the":[11,16,38,43,47,69,72,85,92,100,104,117,158,176,191,196,210,222,235],"user\u2019s":[12],"full":[13],"body":[14],"in":[15,54,152],"virtual":[17],"environment.":[18],"Conventional":[19],"MR":[20,58,229,242],"systems":[21],"provide":[22],"sparse":[23,48],"trackers":[24,49],"such":[25],"as":[26,145],"a":[27,110,121,125,131,143,153,166],"headset":[28],"and":[29,50,94,106,124,148,179,207,221],"two":[30],"hand-held":[31],"controllers.":[32],"Recent":[33],"studies":[34,62],"have":[35,63],"intensively":[36],"investigated":[37],"learning":[39,88,163],"methods":[40],"regress":[42],"untracked":[44],"joints":[45,185],"from":[46,103,227],"produced":[51],"plausible":[52],"poses":[53],"real":[55],"time":[56,181],"for":[57,109],"applications.":[59],"However,":[60],"most":[61],"assumed":[64],"that":[65,234],"they":[66],"either":[67],"know":[68],"position":[70,93],"of":[71,96,113,175,213],"root":[73,101],"joint":[74,150],"or":[75],"constrain":[76],"it,":[77],"yielding":[78],"stiff":[79],"pelvis":[80],"motions.":[81,114],"This":[82],"paper":[83],"presents":[84],"first":[86],"geometry-incorporated":[87],"method":[89,136,203,237],"generate":[91],"rotation":[95],"all":[97],"joints,":[98],"including":[99],"joint,":[102],"head":[105],"hands":[107],"information":[108],"wide":[111],"range":[112],"We":[115],"split":[116],"problem":[118],"into":[119,157],"finding":[120],"reference":[122,133],"frame":[123,140],"pose":[126],"inference":[127],"with":[128,193,209],"respect":[129,194],"new":[132],"frame.":[134,198],"Our":[135,162,231],"defines":[137],"an":[138,146],"avatar":[139,159],"by":[141],"setting":[142],"non-joint":[144],"origin":[147],"transforms":[149],"data":[151,225],"world":[154,197],"coordinate":[155,160],"system":[156],"system.":[161],"builds":[164],"on":[165,217],"propagating":[167],"long":[168],"short-term":[169],"memory":[170],"network":[171],"exploiting":[172],"prior":[173],"knowledge":[174],"kinematic":[177],"chains":[178],"previous":[180],"domain.":[182],"The":[183],"learned":[184],"are":[186],"transformed":[187],"back":[188],"obtain":[190],"positions":[192],"In":[199],"our":[200,202],"experiments,":[201],"achieves":[204],"competitive":[205],"accuracy":[206],"robustness":[208],"state-of-the-art":[211],"speed":[212],"about":[214],"130":[215],"fps":[216],"motion":[218],"capture":[219],"datasets":[220],"wild":[223],"tracking":[224],"obtained":[226],"commercial":[228],"devices.":[230],"experiments":[232],"confirm":[233],"proposed":[236],"practically":[239],"applicable":[240],"systems.":[243]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":2}],"updated_date":"2026-05-07T13:39:58.223016","created_date":"2025-10-10T00:00:00"}
