{"id":"https://openalex.org/W7160281347","doi":"https://doi.org/10.1109/wacv61042.2026.00324","title":"SimForce: Force and Surface Electromyography from Full Body Video with Graph Neural Nets","display_name":"SimForce: Force and Surface Electromyography from Full Body Video with Graph Neural Nets","publication_year":2026,"publication_date":"2026-03-06","ids":{"openalex":"https://openalex.org/W7160281347","doi":"https://doi.org/10.1109/wacv61042.2026.00324"},"language":"en","primary_location":{"id":"doi:10.1109/wacv61042.2026.00324","is_oa":false,"landing_page_url":"https://doi.org/10.1109/wacv61042.2026.00324","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2026 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV)","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://pure-oai.bham.ac.uk/ws/files/303215922/WACV2026_SimForce.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5135368135","display_name":"Esha Dasgupta","orcid":null},"institutions":[{"id":"https://openalex.org/I79619799","display_name":"University of Birmingham","ror":"https://ror.org/03angcq70","country_code":"GB","type":"education","lineage":["https://openalex.org/I79619799"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Esha Dasgupta","raw_affiliation_strings":["University of Birmingham"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Birmingham","institution_ids":["https://openalex.org/I79619799"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101531468","display_name":"Boeun Kim","orcid":"https://orcid.org/0000-0003-3374-4033"},"institutions":[{"id":"https://openalex.org/I89015989","display_name":"Dankook University","ror":"https://ror.org/058pdbn81","country_code":"KR","type":"education","lineage":["https://openalex.org/I89015989"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Boeun Kim","raw_affiliation_strings":["Dankook University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Dankook University","institution_ids":["https://openalex.org/I89015989"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5113658275","display_name":"Sang Hoon Yeo","orcid":null},"institutions":[{"id":"https://openalex.org/I79619799","display_name":"University of Birmingham","ror":"https://ror.org/03angcq70","country_code":"GB","type":"education","lineage":["https://openalex.org/I79619799"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Sang Hoon Yeo","raw_affiliation_strings":["University of Birmingham"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Birmingham","institution_ids":["https://openalex.org/I79619799"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5004895698","display_name":"Hyung Jin Chang","orcid":"https://orcid.org/0000-0001-7495-9677"},"institutions":[{"id":"https://openalex.org/I79619799","display_name":"University of Birmingham","ror":"https://ror.org/03angcq70","country_code":"GB","type":"education","lineage":["https://openalex.org/I79619799"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Hyung Jin Chang","raw_affiliation_strings":["University of Birmingham"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Birmingham","institution_ids":["https://openalex.org/I79619799"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":4,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":true,"cited_by_count":0,"citation_normalized_percentile":{"value":0.64863036,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"3320","last_page":"3329"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10784","display_name":"Muscle activation and electromyography studies","score":0.7978000044822693,"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"}},"topics":[{"id":"https://openalex.org/T10784","display_name":"Muscle activation and electromyography studies","score":0.7978000044822693,"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/T10338","display_name":"Advanced Sensor and Energy Harvesting Materials","score":0.058400001376867294,"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/T10667","display_name":"Emotion and Mood Recognition","score":0.014700000174343586,"subfield":{"id":"https://openalex.org/subfields/3205","display_name":"Experimental and Cognitive Psychology"},"field":{"id":"https://openalex.org/fields/32","display_name":"Psychology"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/electromyography","display_name":"Electromyography","score":0.5031999945640564},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.41670000553131104},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.4081999957561493},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.4050000011920929},{"id":"https://openalex.org/keywords/surface","display_name":"Surface (topology)","score":0.373199999332428}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5759999752044678},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5293999910354614},{"id":"https://openalex.org/C2777515770","wikidata":"https://www.wikidata.org/wiki/Q507369","display_name":"Electromyography","level":2,"score":0.5031999945640564},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.4381999969482422},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.41670000553131104},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.4081999957561493},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.4050000011920929},{"id":"https://openalex.org/C2776799497","wikidata":"https://www.wikidata.org/wiki/Q484298","display_name":"Surface (topology)","level":2,"score":0.373199999332428},{"id":"https://openalex.org/C104267543","wikidata":"https://www.wikidata.org/wiki/Q208163","display_name":"Signal processing","level":3,"score":0.2800000011920929},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.24529999494552612}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/wacv61042.2026.00324","is_oa":false,"landing_page_url":"https://doi.org/10.1109/wacv61042.2026.00324","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2026 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV)","raw_type":"proceedings-article"},{"id":"pmh:oai:pure.atira.dk:openaire_cris_publications/89e9c9ff-a1ee-446f-887a-756af114f239","is_oa":true,"landing_page_url":"https://research.birmingham.ac.uk/en/publications/89e9c9ff-a1ee-446f-887a-756af114f239","pdf_url":"https://pure-oai.bham.ac.uk/ws/files/303215922/WACV2026_SimForce.pdf","source":{"id":"https://openalex.org/S4306402634","display_name":"University of Birmingham Research Portal (University of Birmingham)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I79619799","host_organization_name":"University of Birmingham","host_organization_lineage":["https://openalex.org/I79619799"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Dasgupta, E, Kim, B, Yeo, S H & Chang, H J 2026, SimForce : Force and Surface Electromyography from Full Body Video with Graph Neural Nets. in 2026 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV). IEEE Workshop on Applications of Computer Vision (WACV), IEEE, 2026 IEEE/CVF Winter Conference on Applications of Computer Vision, Tucson, Arizona, United States, 6/03/26. https://doi.org/10.1109/WACV61042.2026.00324","raw_type":"contributionToPeriodical"}],"best_oa_location":{"id":"pmh:oai:pure.atira.dk:openaire_cris_publications/89e9c9ff-a1ee-446f-887a-756af114f239","is_oa":true,"landing_page_url":"https://research.birmingham.ac.uk/en/publications/89e9c9ff-a1ee-446f-887a-756af114f239","pdf_url":"https://pure-oai.bham.ac.uk/ws/files/303215922/WACV2026_SimForce.pdf","source":{"id":"https://openalex.org/S4306402634","display_name":"University of Birmingham Research Portal (University of Birmingham)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I79619799","host_organization_name":"University of Birmingham","host_organization_lineage":["https://openalex.org/I79619799"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Dasgupta, E, Kim, B, Yeo, S H & Chang, H J 2026, SimForce : Force and Surface Electromyography from Full Body Video with Graph Neural Nets. in 2026 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV). IEEE Workshop on Applications of Computer Vision (WACV), IEEE, 2026 IEEE/CVF Winter Conference on Applications of Computer Vision, Tucson, Arizona, United States, 6/03/26. https://doi.org/10.1109/WACV61042.2026.00324","raw_type":"contributionToPeriodical"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W7160281347.pdf","grobid_xml":"https://content.openalex.org/works/W7160281347.grobid-xml"},"referenced_works_count":19,"referenced_works":["https://openalex.org/W2130281033","https://openalex.org/W2135931857","https://openalex.org/W2576289912","https://openalex.org/W2592232824","https://openalex.org/W2907951742","https://openalex.org/W2912006444","https://openalex.org/W2914062174","https://openalex.org/W2921366310","https://openalex.org/W2927558373","https://openalex.org/W3035062249","https://openalex.org/W3044670941","https://openalex.org/W3094521362","https://openalex.org/W4296835510","https://openalex.org/W4309792618","https://openalex.org/W4312187945","https://openalex.org/W4389335241","https://openalex.org/W4389539695","https://openalex.org/W4390872165","https://openalex.org/W4406094261"],"related_works":[],"abstract_inverted_index":{"We":[0],"propose":[1],"a":[2,34,69,117],"novel":[3],"framework,":[4],"named":[5],"SimForce,":[6],"for":[7],"simultaneously":[8],"estimating":[9,60],"skeletal":[10],"pose,":[11],"ground":[12,45],"reaction":[13,46],"force":[14,47],"and":[15,31,43,64,100,112,121,135],"surface":[16],"electromyography":[17],"from":[18],"an":[19],"input":[20,52],"video.":[21],"Simforce":[22],"predicts":[23],"the":[24,76,81,92,97,128,132,139,144,150],"more":[25],"biomechanically":[26],"accurate":[27],"3D":[28],"human":[29,98],"pose":[30],"shape":[32],"of":[33,91,96,141],"given":[35],"subject,":[36],"along":[37],"with":[38],"their":[39,51],"proposed":[40],"muscle":[41],"activations":[42],"resultant":[44],"which":[48],"leads":[49],"to":[50,88,104],"motion.":[53],"Previous":[54],"research":[55],"has":[56],"either":[57],"focused":[58],"on":[59,143],"these":[61,106],"attributes":[62,107],"singly":[63],"not":[65],"treated":[66],"them":[67],"as":[68],"related":[70],"task":[71],"by":[72],"taking":[73],"into":[74],"account":[75],"inherent":[77],"shared":[78,93],"motion":[79],"between":[80,131],"three.":[82],"In":[83],"contrast,":[84],"SimForce":[85,115],"is":[86],"designed":[87],"take":[89],"advantage":[90],"biological":[94],"structure":[95],"body":[99,133],"its":[101],"intrinsic":[102],"connections":[103],"infer":[105],"jointly":[108],"using":[109],"past,":[110],"current,":[111],"future":[113],"frames.":[114],"features":[116],"newly":[118],"introduced":[119],"temporal":[120],"attention":[122],"aware":[123],"GCN-based":[124],"architecture.":[125],"To":[126],"learn":[127],"subtle":[129],"links":[130],"parts":[134],"how":[136],"it":[137],"affects":[138],"distribution":[140],"weight":[142],"muscles":[145],"over":[146],"time,":[147],"we":[148],"introduce":[149],"Spatially":[151],"Aware":[152],"Attention":[153],"Module.":[154]},"counts_by_year":[],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2026-05-06T00:00:00"}
