{"id":"https://openalex.org/W3204446819","doi":"https://doi.org/10.1145/3479985","title":"Global Position Prediction for Interactive Motion Capture","display_name":"Global Position Prediction for Interactive Motion Capture","publication_year":2021,"publication_date":"2021-09-22","ids":{"openalex":"https://openalex.org/W3204446819","doi":"https://doi.org/10.1145/3479985","mag":"3204446819"},"language":"en","primary_location":{"id":"doi:10.1145/3479985","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3479985","pdf_url":null,"source":{"id":"https://openalex.org/S4210220973","display_name":"Proceedings of the ACM on Computer Graphics and Interactive Techniques","issn_l":"2577-6193","issn":["2577-6193"],"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":"Proceedings of the ACM on Computer Graphics and Interactive Techniques","raw_type":"journal-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://curis.ku.dk/ws/files/285525806/Global_Position_Prediction_for_Interactive_Motion_Capture.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5056373888","display_name":"Paul Schreiner","orcid":"https://orcid.org/0000-0002-4928-7714"},"institutions":[{"id":"https://openalex.org/I124055696","display_name":"University of Copenhagen","ror":"https://ror.org/035b05819","country_code":"DK","type":"education","lineage":["https://openalex.org/I124055696"]}],"countries":["DK"],"is_corresponding":true,"raw_author_name":"Paul Schreiner","raw_affiliation_strings":["University of Copenhagen, Denmark, Rokoko Electronics, Denmark"],"affiliations":[{"raw_affiliation_string":"University of Copenhagen, Denmark, Rokoko Electronics, Denmark","institution_ids":["https://openalex.org/I124055696"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5014667125","display_name":"Maksym Perepichka","orcid":null},"institutions":[{"id":"https://openalex.org/I60158472","display_name":"Concordia University","ror":"https://ror.org/0420zvk78","country_code":"CA","type":"education","lineage":["https://openalex.org/I60158472"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Maksym Perepichka","raw_affiliation_strings":["Concordia University, Canada"],"affiliations":[{"raw_affiliation_string":"Concordia University, Canada","institution_ids":["https://openalex.org/I60158472"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5103676950","display_name":"Hayden Lewis","orcid":null},"institutions":[{"id":"https://openalex.org/I8078737","display_name":"Clemson University","ror":"https://ror.org/037s24f05","country_code":"US","type":"education","lineage":["https://openalex.org/I8078737"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Hayden Lewis","raw_affiliation_strings":["Clemson University, USA"],"affiliations":[{"raw_affiliation_string":"Clemson University, USA","institution_ids":["https://openalex.org/I8078737"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5087093410","display_name":"Sune Darkner","orcid":"https://orcid.org/0000-0001-6114-7100"},"institutions":[{"id":"https://openalex.org/I124055696","display_name":"University of Copenhagen","ror":"https://ror.org/035b05819","country_code":"DK","type":"education","lineage":["https://openalex.org/I124055696"]}],"countries":["DK"],"is_corresponding":false,"raw_author_name":"Sune Darkner","raw_affiliation_strings":["University of Copenhagen, Denmark"],"affiliations":[{"raw_affiliation_string":"University of Copenhagen, Denmark","institution_ids":["https://openalex.org/I124055696"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5060542558","display_name":"Paul G. Kry","orcid":"https://orcid.org/0000-0003-4176-6857"},"institutions":[{"id":"https://openalex.org/I5023651","display_name":"McGill University","ror":"https://ror.org/01pxwe438","country_code":"CA","type":"education","lineage":["https://openalex.org/I5023651"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Paul G. Kry","raw_affiliation_strings":["McGill University, Canada"],"affiliations":[{"raw_affiliation_string":"McGill University, Canada","institution_ids":["https://openalex.org/I5023651"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5039465110","display_name":"Kenny Erleben","orcid":"https://orcid.org/0000-0001-6808-4747"},"institutions":[{"id":"https://openalex.org/I124055696","display_name":"University of Copenhagen","ror":"https://ror.org/035b05819","country_code":"DK","type":"education","lineage":["https://openalex.org/I124055696"]}],"countries":["DK"],"is_corresponding":false,"raw_author_name":"Kenny Erleben","raw_affiliation_strings":["University of Copenhagen, Denmark"],"affiliations":[{"raw_affiliation_string":"University of Copenhagen, Denmark","institution_ids":["https://openalex.org/I124055696"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5000237739","display_name":"Victor Zordan","orcid":"https://orcid.org/0000-0002-7309-7013"},"institutions":[{"id":"https://openalex.org/I8078737","display_name":"Clemson University","ror":"https://ror.org/037s24f05","country_code":"US","type":"education","lineage":["https://openalex.org/I8078737"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Victor B. Zordan","raw_affiliation_strings":["Clemson University, USA"],"affiliations":[{"raw_affiliation_string":"Clemson University, USA","institution_ids":["https://openalex.org/I8078737"]}]}],"institutions":[],"countries_distinct_count":3,"institutions_distinct_count":7,"corresponding_author_ids":["https://openalex.org/A5056373888"],"corresponding_institution_ids":["https://openalex.org/I124055696"],"apc_list":null,"apc_paid":null,"fwci":1.2444,"has_fulltext":true,"cited_by_count":9,"citation_normalized_percentile":{"value":0.79575689,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":97},"biblio":{"volume":"4","issue":"3","first_page":"1","last_page":"16"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"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"}},"topics":[{"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/T10812","display_name":"Human Pose and Action Recognition","score":0.9988999962806702,"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/T10531","display_name":"Advanced Vision and Imaging","score":0.9740999937057495,"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":0.7884362936019897},{"id":"https://openalex.org/keywords/motion-capture","display_name":"Motion capture","score":0.7155618071556091},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6893511414527893},{"id":"https://openalex.org/keywords/orientation","display_name":"Orientation (vector space)","score":0.6237616539001465},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.5908308029174805},{"id":"https://openalex.org/keywords/position","display_name":"Position (finance)","score":0.5856783986091614},{"id":"https://openalex.org/keywords/motion","display_name":"Motion (physics)","score":0.5808666348457336},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.5048606991767883},{"id":"https://openalex.org/keywords/representation","display_name":"Representation (politics)","score":0.45032986998558044},{"id":"https://openalex.org/keywords/displacement","display_name":"Displacement (psychology)","score":0.4408712387084961},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.42707186937332153},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.07835128903388977}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7884362936019897},{"id":"https://openalex.org/C48007421","wikidata":"https://www.wikidata.org/wiki/Q676252","display_name":"Motion capture","level":3,"score":0.7155618071556091},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6893511414527893},{"id":"https://openalex.org/C16345878","wikidata":"https://www.wikidata.org/wiki/Q107472979","display_name":"Orientation (vector space)","level":2,"score":0.6237616539001465},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.5908308029174805},{"id":"https://openalex.org/C198082294","wikidata":"https://www.wikidata.org/wiki/Q3399648","display_name":"Position (finance)","level":2,"score":0.5856783986091614},{"id":"https://openalex.org/C104114177","wikidata":"https://www.wikidata.org/wiki/Q79782","display_name":"Motion (physics)","level":2,"score":0.5808666348457336},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.5048606991767883},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.45032986998558044},{"id":"https://openalex.org/C107551265","wikidata":"https://www.wikidata.org/wiki/Q1458245","display_name":"Displacement (psychology)","level":2,"score":0.4408712387084961},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.42707186937332153},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.07835128903388977},{"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/C542102704","wikidata":"https://www.wikidata.org/wiki/Q183257","display_name":"Psychotherapist","level":1,"score":0.0},{"id":"https://openalex.org/C94625758","wikidata":"https://www.wikidata.org/wiki/Q7163","display_name":"Politics","level":2,"score":0.0},{"id":"https://openalex.org/C10138342","wikidata":"https://www.wikidata.org/wiki/Q43015","display_name":"Finance","level":1,"score":0.0},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","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/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1145/3479985","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3479985","pdf_url":null,"source":{"id":"https://openalex.org/S4210220973","display_name":"Proceedings of the ACM on Computer Graphics and Interactive Techniques","issn_l":"2577-6193","issn":["2577-6193"],"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":"Proceedings of the ACM on Computer Graphics and Interactive Techniques","raw_type":"journal-article"},{"id":"pmh:oai:pure.atira.dk:openaire_cris_publications/8c5cca5d-fe62-4f21-9fc4-cb1a36d222a0","is_oa":true,"landing_page_url":"https://researchprofiles.ku.dk/da/publications/8c5cca5d-fe62-4f21-9fc4-cb1a36d222a0","pdf_url":"https://curis.ku.dk/ws/files/285525806/Global_Position_Prediction_for_Interactive_Motion_Capture.pdf","source":{"id":"https://openalex.org/S4306401983","display_name":"Research at the University of Copenhagen (University of Copenhagen)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I124055696","host_organization_name":"University of Copenhagen","host_organization_lineage":["https://openalex.org/I124055696"],"host_organization_lineage_names":[],"type":"repository"},"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Schreiner , P , Perepichka , M , Lewis , H , Darkner , S , Kry , P G , Erleben , K & Zordan , V B 2021 , ' Global Position Prediction for Interactive Motion Capture ' , Proceedings of the ACM on Computer Graphics and Interactive Techniques , vol. 4 , no. 3 , 3479985 , pp. 1-16 . https://doi.org/10.1145/3479985","raw_type":"article"}],"best_oa_location":{"id":"pmh:oai:pure.atira.dk:openaire_cris_publications/8c5cca5d-fe62-4f21-9fc4-cb1a36d222a0","is_oa":true,"landing_page_url":"https://researchprofiles.ku.dk/da/publications/8c5cca5d-fe62-4f21-9fc4-cb1a36d222a0","pdf_url":"https://curis.ku.dk/ws/files/285525806/Global_Position_Prediction_for_Interactive_Motion_Capture.pdf","source":{"id":"https://openalex.org/S4306401983","display_name":"Research at the University of Copenhagen (University of Copenhagen)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I124055696","host_organization_name":"University of Copenhagen","host_organization_lineage":["https://openalex.org/I124055696"],"host_organization_lineage_names":[],"type":"repository"},"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Schreiner , P , Perepichka , M , Lewis , H , Darkner , S , Kry , P G , Erleben , K & Zordan , V B 2021 , ' Global Position Prediction for Interactive Motion Capture ' , Proceedings of the ACM on Computer Graphics and Interactive Techniques , vol. 4 , no. 3 , 3479985 , pp. 1-16 . https://doi.org/10.1145/3479985","raw_type":"article"},"sustainable_development_goals":[{"display_name":"No poverty","score":0.6800000071525574,"id":"https://metadata.un.org/sdg/1"}],"awards":[{"id":"https://openalex.org/G3894788010","display_name":null,"funder_award_id":"9065-00085B","funder_id":"https://openalex.org/F4320313796","funder_display_name":"Innovationsfonden"}],"funders":[{"id":"https://openalex.org/F4320313796","display_name":"Innovationsfonden","ror":"https://ror.org/00daj4111"},{"id":"https://openalex.org/F4320334593","display_name":"Natural Sciences and Engineering Research Council of Canada","ror":"https://ror.org/01h531d29"}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W3204446819.pdf","grobid_xml":"https://content.openalex.org/works/W3204446819.grobid-xml"},"referenced_works_count":40,"referenced_works":["https://openalex.org/W1901129140","https://openalex.org/W1964130324","https://openalex.org/W1971173149","https://openalex.org/W1982096616","https://openalex.org/W2005708641","https://openalex.org/W2031569927","https://openalex.org/W2056427752","https://openalex.org/W2072563079","https://openalex.org/W2105247495","https://openalex.org/W2112636079","https://openalex.org/W2119447302","https://openalex.org/W2120411157","https://openalex.org/W2158749607","https://openalex.org/W2171033594","https://openalex.org/W2249800031","https://openalex.org/W2296629652","https://openalex.org/W2368532690","https://openalex.org/W2469134594","https://openalex.org/W2573854917","https://openalex.org/W2580084284","https://openalex.org/W2606517404","https://openalex.org/W2611706523","https://openalex.org/W2642822413","https://openalex.org/W2773055000","https://openalex.org/W2783643898","https://openalex.org/W2797184202","https://openalex.org/W2801567109","https://openalex.org/W2902318149","https://openalex.org/W2962896489","https://openalex.org/W2963625095","https://openalex.org/W2964203186","https://openalex.org/W2978828745","https://openalex.org/W3025978279","https://openalex.org/W3047651558","https://openalex.org/W3048539707","https://openalex.org/W3104978629","https://openalex.org/W3106857494","https://openalex.org/W3139397654","https://openalex.org/W4205409207","https://openalex.org/W4214728215"],"related_works":["https://openalex.org/W1827696521","https://openalex.org/W2173450654","https://openalex.org/W2039848376","https://openalex.org/W2621720158","https://openalex.org/W2091722187","https://openalex.org/W2130272765","https://openalex.org/W4401486264","https://openalex.org/W2006196742","https://openalex.org/W2055991023","https://openalex.org/W2682927604"],"abstract_inverted_index":{"We":[0,45,106,135,145],"present":[1],"a":[2,33,47,51,64,87,97,113,118,165],"method":[3,139],"for":[4,129,140,150],"reconstructing":[5],"the":[6,58,130],"global":[7,43,79],"position":[8,13],"of":[9,32,67,90,143],"motion":[10,151],"capture":[11,34,84],"where":[12],"sensing":[14],"is":[15],"poor":[16],"or":[17],"unavailable.":[18],"Capture":[19],"systems,":[20],"such":[21],"as":[22],"IMU":[23],"suits,":[24],"can":[25],"provide":[26],"excellent":[27],"pose":[28,68],"and":[29,60,69,103,117],"orientation":[30,70],"data":[31,77],"subject,":[35],"but":[36],"otherwise":[37],"need":[38],"post":[39],"processing":[40],"to":[41,54,94,99],"estimate":[42,100],"position.":[44],"propose":[46],"solution":[48],"that":[49],"trains":[50],"neural":[52,121],"network":[53,98,111,115,122],"predict,":[55],"in":[56,92,132,156,164],"real-time,":[57],"height":[59],"body":[61],"displacement":[62],"given":[63],"short":[65],"window":[66],"data.":[71],"Our":[72],"training":[73,108,176],"dataset":[74,169],"contains":[75],"pre-recorded":[76],"with":[78,153],"positions":[80],"from":[81,175],"many":[82],"different":[83,141],"subjects,":[85],"performing":[86],"wide":[88],"variety":[89],"activities":[91],"order":[93],"broadly":[95,167],"train":[96],"on":[101,109],"like":[102],"unseen":[104],"activities.":[105],"compare":[107],"two":[110],"architectures,":[112],"universal":[114],"(u-net)":[116],"traditional":[119],"convolutional":[120],"(CNN)":[123],"-":[124],"observing":[125],"better":[126,163],"error":[127],"properties":[128],"u-net":[131],"our":[133,138],"results.":[134],"also":[136],"evaluate":[137],"classes":[142],"motion.":[144],"observe":[146],"high":[147],"quality":[148],"results":[149],"examples":[152],"good":[154],"representation":[155],"specialized":[157],"datasets,":[158],"while":[159],"general":[160],"performance":[161],"appears":[162],"more":[166],"sampled":[168],"when":[170],"input":[171],"motions":[172],"are":[173],"far":[174],"examples.":[177]},"counts_by_year":[{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":4},{"year":2022,"cited_by_count":2},{"year":2021,"cited_by_count":1}],"updated_date":"2026-03-20T23:20:44.827607","created_date":"2025-10-10T00:00:00"}