{"id":"https://openalex.org/W7161242814","doi":"https://doi.org/10.48550/arxiv.2605.14772","title":"BioHuman: Learning Biomechanical Human Representations from Video","display_name":"BioHuman: Learning Biomechanical Human Representations from Video","publication_year":2026,"publication_date":"2026-05-14","ids":{"openalex":"https://openalex.org/W7161242814","doi":"https://doi.org/10.48550/arxiv.2605.14772"},"language":null,"primary_location":{"id":"doi:10.48550/arxiv.2605.14772","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2605.14772","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Preprint"},"type":"preprint","indexed_in":["datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://doi.org/10.48550/arxiv.2605.14772","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5136209238","display_name":"Yujun Huo","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Huo, Yujun","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5136206015","display_name":"He Zhang","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Zhang, He","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5018409792","display_name":"Chentao Song","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Song, Chentao","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5136266405","display_name":"Honglin Song","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Song, Honglin","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5136198500","display_name":"Zongyu Zuo","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Zuo, Zongyu","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5136208972","display_name":"Tao Yu","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Yu, Tao","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":0,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":null,"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":0.9103000164031982,"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":0.9103000164031982,"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":0.03240000084042549,"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/T10114","display_name":"Balance, Gait, and Falls Prevention","score":0.010999999940395355,"subfield":{"id":"https://openalex.org/subfields/3612","display_name":"Physical Therapy, Sports Therapy and Rehabilitation"},"field":{"id":"https://openalex.org/fields/36","display_name":"Health Professions"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/kinematics","display_name":"Kinematics","score":0.7524999976158142},{"id":"https://openalex.org/keywords/motion","display_name":"Motion (physics)","score":0.661899983882904},{"id":"https://openalex.org/keywords/motion-capture","display_name":"Motion capture","score":0.6377999782562256},{"id":"https://openalex.org/keywords/bridging","display_name":"Bridging (networking)","score":0.5888000130653381},{"id":"https://openalex.org/keywords/human-motion","display_name":"Human motion","score":0.5541999936103821},{"id":"https://openalex.org/keywords/monocular","display_name":"Monocular","score":0.4700999855995178},{"id":"https://openalex.org/keywords/biomechanics","display_name":"Biomechanics","score":0.445499986410141}],"concepts":[{"id":"https://openalex.org/C39920418","wikidata":"https://www.wikidata.org/wiki/Q11476","display_name":"Kinematics","level":2,"score":0.7524999976158142},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6958000063896179},{"id":"https://openalex.org/C104114177","wikidata":"https://www.wikidata.org/wiki/Q79782","display_name":"Motion (physics)","level":2,"score":0.661899983882904},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.6531000137329102},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6453999876976013},{"id":"https://openalex.org/C48007421","wikidata":"https://www.wikidata.org/wiki/Q676252","display_name":"Motion capture","level":3,"score":0.6377999782562256},{"id":"https://openalex.org/C174348530","wikidata":"https://www.wikidata.org/wiki/Q188635","display_name":"Bridging (networking)","level":2,"score":0.5888000130653381},{"id":"https://openalex.org/C2986578859","wikidata":"https://www.wikidata.org/wiki/Q657632","display_name":"Human motion","level":3,"score":0.5541999936103821},{"id":"https://openalex.org/C65909025","wikidata":"https://www.wikidata.org/wiki/Q1945033","display_name":"Monocular","level":2,"score":0.4700999855995178},{"id":"https://openalex.org/C170700871","wikidata":"https://www.wikidata.org/wiki/Q193378","display_name":"Biomechanics","level":2,"score":0.445499986410141},{"id":"https://openalex.org/C36503486","wikidata":"https://www.wikidata.org/wiki/Q11235244","display_name":"Domain (mathematical analysis)","level":2,"score":0.4214000105857849},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.3774999976158142},{"id":"https://openalex.org/C107457646","wikidata":"https://www.wikidata.org/wiki/Q207434","display_name":"Human\u2013computer interaction","level":1,"score":0.335999995470047},{"id":"https://openalex.org/C2777036941","wikidata":"https://www.wikidata.org/wiki/Q6917771","display_name":"Motion analysis","level":2,"score":0.31279999017715454},{"id":"https://openalex.org/C2987834672","wikidata":"https://www.wikidata.org/wiki/Q4677630","display_name":"Action recognition","level":3,"score":0.27219998836517334},{"id":"https://openalex.org/C20864712","wikidata":"https://www.wikidata.org/wiki/Q667800","display_name":"Biological motion","level":3,"score":0.25999999046325684},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.25780001282691956},{"id":"https://openalex.org/C36464697","wikidata":"https://www.wikidata.org/wiki/Q451553","display_name":"Visualization","level":2,"score":0.25619998574256897},{"id":"https://openalex.org/C97931131","wikidata":"https://www.wikidata.org/wiki/Q5282087","display_name":"Discriminative model","level":2,"score":0.2531999945640564}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.48550/arxiv.2605.14772","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2605.14772","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":null,"is_accepted":false,"is_published":null,"raw_source_name":null,"raw_type":"Preprint"}],"best_oa_location":{"id":"doi:10.48550/arxiv.2605.14772","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2605.14772","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Preprint"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"Understanding":[0],"human":[1,93,148],"motion":[2,9,60,94,117],"beyond":[3],"surface":[4],"kinematics":[5],"is":[6,21],"crucial":[7],"for":[8,54,136,145],"analysis,":[10],"rehabilitation,":[11],"and":[12,32,73,90,95,102,118,121,126,140],"injury":[13],"risk":[14],"assessment.":[15],"However,":[16],"progress":[17],"in":[18,64],"this":[19,47],"domain":[20],"limited":[22],"by":[23,33],"the":[24],"lack":[25],"of":[26,114],"large-scale":[27,67],"datasets":[28],"with":[29,69],"biomechanical":[30,41,104,138],"annotations,":[31],"existing":[34,59],"approaches":[35],"that":[36,84,109],"cannot":[37],"directly":[38],"infer":[39],"internal":[40,103],"states":[42],"from":[43,58],"visual":[44,100],"observations.":[45],"In":[46],"paper,":[48],"we":[49,78],"introduce":[50],"a":[51,66,133],"simulation-based":[52],"framework":[53],"estimating":[55],"muscle":[56,96,119],"activations":[57],"capture":[61],"datasets,":[62],"resulting":[63],"BioHuman10M,":[65,77],"dataset":[68],"synchronized":[70],"video,":[71],"motion,":[72],"activations.":[74],"Building":[75],"on":[76],"propose":[79],"BioHuman,":[80],"an":[81],"end-to-end":[82],"model":[83],"takes":[85],"monocular":[86],"video":[87],"as":[88],"input":[89],"jointly":[91],"predicts":[92],"activations,":[97],"effectively":[98],"bridging":[99],"observations":[101],"states.":[105],"Extensive":[106],"experiments":[107],"demonstrate":[108],"BioHuman":[110],"enables":[111],"accurate":[112],"reconstruction":[113],"both":[115],"kinematic":[116],"activity,":[120],"generalizes":[122],"across":[123],"diverse":[124],"subjects":[125],"motions.":[127],"We":[128],"believe":[129],"our":[130],"approach":[131],"establishes":[132],"new":[134,143],"benchmark":[135],"video-based":[137],"understanding":[139],"opens":[141],"up":[142],"possibilities":[144],"physically":[146],"grounded":[147],"modeling.":[149]},"counts_by_year":[],"updated_date":"2026-07-28T07:46:37.118299","created_date":"2026-05-16T00:00:00"}
