{"id":"https://openalex.org/W4403488519","doi":"https://doi.org/10.3233/faia240534","title":"High-Quality Human Motion Prediction Using Size Invariant Motion Space","display_name":"High-Quality Human Motion Prediction Using Size Invariant Motion Space","publication_year":2024,"publication_date":"2024-10-16","ids":{"openalex":"https://openalex.org/W4403488519","doi":"https://doi.org/10.3233/faia240534"},"language":"en","primary_location":{"id":"doi:10.3233/faia240534","is_oa":true,"landing_page_url":"https://doi.org/10.3233/faia240534","pdf_url":"https://ebooks.iospress.nl/pdf/doi/10.3233/FAIA240534","source":{"id":"https://openalex.org/S4210201731","display_name":"Frontiers in artificial intelligence and applications","issn_l":"0922-6389","issn":["0922-6389","1879-8314"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":"cc-by-nc","license_id":"https://openalex.org/licenses/cc-by-nc","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Frontiers in Artificial Intelligence and Applications","raw_type":"book-chapter"},"type":"book-chapter","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"hybrid","oa_url":"https://ebooks.iospress.nl/pdf/doi/10.3233/FAIA240534","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5051055172","display_name":"Haichuan Zhao","orcid":"https://orcid.org/0000-0003-4967-7533"},"institutions":[{"id":"https://openalex.org/I25254941","display_name":"Beijing Normal University","ror":"https://ror.org/022k4wk35","country_code":"CN","type":"education","lineage":["https://openalex.org/I25254941"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Haichuan Zhao","raw_affiliation_strings":["School of Artificial Intelligence, Beijing Normal University"],"affiliations":[{"raw_affiliation_string":"School of Artificial Intelligence, Beijing Normal University","institution_ids":["https://openalex.org/I25254941"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5001355713","display_name":"Xudong Ru","orcid":"https://orcid.org/0000-0003-1502-1712"},"institutions":[{"id":"https://openalex.org/I25254941","display_name":"Beijing Normal University","ror":"https://ror.org/022k4wk35","country_code":"CN","type":"education","lineage":["https://openalex.org/I25254941"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xudong Ru","raw_affiliation_strings":["School of Artificial Intelligence, Beijing Normal University"],"affiliations":[{"raw_affiliation_string":"School of Artificial Intelligence, Beijing Normal University","institution_ids":["https://openalex.org/I25254941"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5079551847","display_name":"Peng Du","orcid":"https://orcid.org/0000-0002-6063-9725"},"institutions":[{"id":"https://openalex.org/I25254941","display_name":"Beijing Normal University","ror":"https://ror.org/022k4wk35","country_code":"CN","type":"education","lineage":["https://openalex.org/I25254941"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Peng Du","raw_affiliation_strings":["School of Artificial Intelligence, Beijing Normal University"],"affiliations":[{"raw_affiliation_string":"School of Artificial Intelligence, Beijing Normal University","institution_ids":["https://openalex.org/I25254941"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101608508","display_name":"Shaolong Liu","orcid":"https://orcid.org/0000-0002-9265-0777"},"institutions":[{"id":"https://openalex.org/I25254941","display_name":"Beijing Normal University","ror":"https://ror.org/022k4wk35","country_code":"CN","type":"education","lineage":["https://openalex.org/I25254941"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shaolong Liu","raw_affiliation_strings":["School of Arts and Communication, Beijing Normal University"],"affiliations":[{"raw_affiliation_string":"School of Arts and Communication, Beijing Normal University","institution_ids":["https://openalex.org/I25254941"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5115592761","display_name":"Na Liu","orcid":"https://orcid.org/0000-0003-0949-4046"},"institutions":[{"id":"https://openalex.org/I2800372957","display_name":"China Electronics Technology Group Corporation","ror":"https://ror.org/0098hst83","country_code":"CN","type":"company","lineage":["https://openalex.org/I2800372957"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Na Liu","raw_affiliation_strings":["Information Science Academy of China Electronics Technology Group Corporation"],"affiliations":[{"raw_affiliation_string":"Information Science Academy of China Electronics Technology Group Corporation","institution_ids":["https://openalex.org/I2800372957"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5024691662","display_name":"Xingce Wang","orcid":"https://orcid.org/0000-0002-3177-8902"},"institutions":[{"id":"https://openalex.org/I25254941","display_name":"Beijing Normal University","ror":"https://ror.org/022k4wk35","country_code":"CN","type":"education","lineage":["https://openalex.org/I25254941"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xingce Wang","raw_affiliation_strings":["School of Artificial Intelligence, Beijing Normal University"],"affiliations":[{"raw_affiliation_string":"School of Artificial Intelligence, Beijing Normal University","institution_ids":["https://openalex.org/I25254941"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5101833322","display_name":"Zhongke Wu","orcid":"https://orcid.org/0000-0003-3735-6476"},"institutions":[{"id":"https://openalex.org/I25254941","display_name":"Beijing Normal University","ror":"https://ror.org/022k4wk35","country_code":"CN","type":"education","lineage":["https://openalex.org/I25254941"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhongke Wu","raw_affiliation_strings":["School of Artificial Intelligence, Beijing Normal University"],"affiliations":[{"raw_affiliation_string":"School of Artificial Intelligence, Beijing Normal University","institution_ids":["https://openalex.org/I25254941"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":7,"corresponding_author_ids":["https://openalex.org/A5051055172"],"corresponding_institution_ids":["https://openalex.org/I25254941"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.39130435,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10812","display_name":"Human Pose and Action Recognition","score":0.9768999814987183,"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":0.9768999814987183,"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/T12740","display_name":"Gait Recognition and Analysis","score":0.958899974822998,"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"}},{"id":"https://openalex.org/T10331","display_name":"Video Surveillance and Tracking Methods","score":0.9336000084877014,"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/invariant","display_name":"Invariant (physics)","score":0.6271820068359375},{"id":"https://openalex.org/keywords/motion","display_name":"Motion (physics)","score":0.5161064863204956},{"id":"https://openalex.org/keywords/human-motion","display_name":"Human motion","score":0.47787848114967346},{"id":"https://openalex.org/keywords/quality","display_name":"Quality (philosophy)","score":0.43834373354911804},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.35134583711624146},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3410531282424927},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.338298499584198},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.3278118371963501},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.31369835138320923},{"id":"https://openalex.org/keywords/mathematical-physics","display_name":"Mathematical physics","score":0.07478407025337219}],"concepts":[{"id":"https://openalex.org/C190470478","wikidata":"https://www.wikidata.org/wiki/Q2370229","display_name":"Invariant (physics)","level":2,"score":0.6271820068359375},{"id":"https://openalex.org/C104114177","wikidata":"https://www.wikidata.org/wiki/Q79782","display_name":"Motion (physics)","level":2,"score":0.5161064863204956},{"id":"https://openalex.org/C2986578859","wikidata":"https://www.wikidata.org/wiki/Q657632","display_name":"Human motion","level":3,"score":0.47787848114967346},{"id":"https://openalex.org/C2779530757","wikidata":"https://www.wikidata.org/wiki/Q1207505","display_name":"Quality (philosophy)","level":2,"score":0.43834373354911804},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.35134583711624146},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3410531282424927},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.338298499584198},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.3278118371963501},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.31369835138320923},{"id":"https://openalex.org/C37914503","wikidata":"https://www.wikidata.org/wiki/Q156495","display_name":"Mathematical physics","level":1,"score":0.07478407025337219},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.3233/faia240534","is_oa":true,"landing_page_url":"https://doi.org/10.3233/faia240534","pdf_url":"https://ebooks.iospress.nl/pdf/doi/10.3233/FAIA240534","source":{"id":"https://openalex.org/S4210201731","display_name":"Frontiers in artificial intelligence and applications","issn_l":"0922-6389","issn":["0922-6389","1879-8314"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":"cc-by-nc","license_id":"https://openalex.org/licenses/cc-by-nc","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Frontiers in Artificial Intelligence and Applications","raw_type":"book-chapter"}],"best_oa_location":{"id":"doi:10.3233/faia240534","is_oa":true,"landing_page_url":"https://doi.org/10.3233/faia240534","pdf_url":"https://ebooks.iospress.nl/pdf/doi/10.3233/FAIA240534","source":{"id":"https://openalex.org/S4210201731","display_name":"Frontiers in artificial intelligence and applications","issn_l":"0922-6389","issn":["0922-6389","1879-8314"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":"cc-by-nc","license_id":"https://openalex.org/licenses/cc-by-nc","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Frontiers in Artificial Intelligence and Applications","raw_type":"book-chapter"},"sustainable_development_goals":[{"display_name":"Sustainable cities and communities","score":0.46000000834465027,"id":"https://metadata.un.org/sdg/11"}],"awards":[],"funders":[],"has_content":{"pdf":true,"grobid_xml":false},"content_urls":{"pdf":"https://content.openalex.org/works/W4403488519.pdf"},"referenced_works_count":0,"referenced_works":[],"related_works":["https://openalex.org/W2035558540","https://openalex.org/W2529580585","https://openalex.org/W2804584315","https://openalex.org/W2004712313","https://openalex.org/W2167757589","https://openalex.org/W2332110715","https://openalex.org/W2988011613","https://openalex.org/W2806036343","https://openalex.org/W2079653927","https://openalex.org/W142482926"],"abstract_inverted_index":{"3D":[0],"human":[1,127],"motion":[2,55,94,109,140],"prediction":[3,20,95],"is":[4],"a":[5,45,80,108,143],"challenging":[6],"task":[7],"due":[8],"to":[9,29,44,89,138,185],"the":[10,23,58,69,72,101,132,149,154,162,171],"highly":[11],"non-linear":[12],"nature":[13],"of":[14,25,60,71,103],"movements.":[15],"Existing":[16],"deep":[17],"learning-based":[18],"action":[19],"methods":[21],"emphasize":[22],"design":[24],"sophisticated":[26],"network":[27],"architectures":[28],"achieve":[30,90],"state-of-the-art":[31],"performance":[32,177],"on":[33,161],"datasets.":[34],"However,":[35],"in":[36,40,47,63,120,157,187],"real-life":[37],"scenarios,":[38],"changes":[39,119,186],"skeletal":[41,121,188],"size":[42,122],"lead":[43],"shift":[46],"data":[48],"distribution,":[49],"which":[50,115],"presents":[51],"challenges":[52],"for":[53],"accurate":[54],"prediction.":[56],"Additionally,":[57],"presence":[59],"stretching":[61,97,180],"artifacts":[62,181],"predicted":[64],"bone":[65,104],"sequences":[66,141],"significantly":[67],"impacts":[68],"quality":[70],"predictions.":[73],"To":[74],"address":[75],"these":[76],"issues,":[77],"we":[78,130],"propose":[79,131],"framework":[81],"that":[82,170],"combines":[83],"geometric":[84],"encoding":[85],"with":[86],"neural":[87],"networks":[88],"size-invariant":[91],"and":[92,106,123,152,165,182],"high-quality":[93],"without":[96,178],"artifacts.":[98],"We":[99],"consider":[100],"constraint":[102],"length":[105],"construct":[107],"space":[110],"using":[111],"Riemannian":[112],"manifold":[113],"theory,":[114],"remains":[116],"unaffected":[117],"by":[118],"can":[124],"fully":[125],"represent":[126],"motion.":[128],"Furthermore,":[129],"trajectory":[133],"transport":[134],"square-root":[135],"velocity":[136],"function":[137],"encode":[139],"into":[142],"flattened":[144],"space.":[145,159],"This":[146],"transformation":[147],"simplifies":[148],"distance":[150],"calculation":[151],"linearizes":[153],"optimization":[155],"problem":[156],"non-flattened":[158],"Experiments":[160],"Human":[163],"3.6M":[164],"CMU":[166],"MoCap":[167],"datasets":[168],"demonstrated":[169],"proposed":[172],"method":[173],"has":[174],"achieved":[175],"competitive":[176],"any":[179],"exhibits":[183],"robustness":[184],"size.":[189]},"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
