{"id":"https://openalex.org/W7225593131","doi":"https://doi.org/10.1186/s42492-026-00237-x","title":"Spatiotemporal graph convolutional network for robust three-dimensional worker pose estimation from single-camera video with application to real-time ergonomic risk assessment","display_name":"Spatiotemporal graph convolutional network for robust three-dimensional worker pose estimation from single-camera video with application to real-time ergonomic risk assessment","publication_year":2026,"publication_date":"2026-11-09","ids":{"openalex":"https://openalex.org/W7225593131","doi":"https://doi.org/10.1186/s42492-026-00237-x","pmid":"https://pubmed.ncbi.nlm.nih.gov/43000589"},"language":"en","primary_location":{"id":"doi:10.1186/s42492-026-00237-x","doi":"https://doi.org/10.1186/s42492-026-00237-x","is_oa":true,"landing_page_url":"https://doi.org/10.1186/s42492-026-00237-x","pdf_url":"https://link.springer.com/content/pdf/10.1186/s42492-026-00237-x.pdf","source":{"id":"https://openalex.org/S3035464634","display_name":"Visual Computing for Industry Biomedicine and Art","issn_l":"2096-496X","issn":["2096-496X","2524-4442"],"is_oa":true,"is_in_doaj":true,"is_core":true,"listed_in":["cwts-core","doaj","dongbi-c","jufo-1","ki-jl-1","oarl","poland-20","russia-white-list-1"],"host_organization":"https://openalex.org/P4310319965","host_organization_name":"Springer Nature","host_organization_lineage":["https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Visual Computing for Industry, Biomedicine, and Art","raw_type":"journal-article"},"volume":null,"type":"article","is_traditional":true,"indexed_in":["crossref","doaj","pubmed"],"open_access":{"is_oa":true,"oa_status":"diamond","oa_url":"https://link.springer.com/content/pdf/10.1186/s42492-026-00237-x.pdf","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5087041922","display_name":"Mahdi Bonyani","orcid":"https://orcid.org/0000-0003-0922-9656","observed_orcids":["https://orcid.org/0000-0003-0922-9656"]},"institutions":[{"id":"https://openalex.org/I121820613","display_name":"Louisiana State University","ror":"https://ror.org/05ect4e57","country_code":"US","type":"education","lineage":["https://openalex.org/I121820613"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Mahdi Bonyani","raw_affiliation_strings":["Bert S. Turner Department of Construction Management, Louisiana State University, Baton Rouge, LA 70803, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Bert S. Turner Department of Construction Management, Louisiana State University, Baton Rouge, LA 70803, USA","institution_ids":["https://openalex.org/I121820613"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5029008607","display_name":"Maryam Soleymani","orcid":"https://orcid.org/0000-0003-3796-3137","observed_orcids":["https://orcid.org/0000-0003-3796-3137"]},"institutions":[{"id":"https://openalex.org/I121820613","display_name":"Louisiana State University","ror":"https://ror.org/05ect4e57","country_code":"US","type":"education","lineage":["https://openalex.org/I121820613"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Maryam Soleymani","raw_affiliation_strings":["Bert S. Turner Department of Construction Management, Louisiana State University, Baton Rouge, LA 70803, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Bert S. Turner Department of Construction Management, Louisiana State University, Baton Rouge, LA 70803, USA","institution_ids":["https://openalex.org/I121820613"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5161297931","display_name":"Chao Wang","orcid":null,"observed_orcids":[]},"institutions":[{"id":"https://openalex.org/I121820613","display_name":"Louisiana State University","ror":"https://ror.org/05ect4e57","country_code":"US","type":"education","lineage":["https://openalex.org/I121820613"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Chao Wang","raw_affiliation_strings":["Bert S. Turner Department of Construction Management, Louisiana State University, Baton Rouge, LA 70803, USA. chaowang@lsu.edu"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Bert S. Turner Department of Construction Management, Louisiana State University, Baton Rouge, LA 70803, USA. chaowang@lsu.edu","institution_ids":["https://openalex.org/I121820613"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5138498090","display_name":"Nina Jiang","orcid":"https://orcid.org/0009-0003-6389-0194","observed_orcids":["https://orcid.org/0009-0003-6389-0194"]},"institutions":[{"id":"https://openalex.org/I121820613","display_name":"Louisiana State University","ror":"https://ror.org/05ect4e57","country_code":"US","type":"education","lineage":["https://openalex.org/I121820613"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Nina Jiang","raw_affiliation_strings":["Department of Mechanical & Industrial Engineering, Louisiana State University, Baton Rouge, LA 70803, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Mechanical & Industrial Engineering, Louisiana State University, Baton Rouge, LA 70803, USA","institution_ids":["https://openalex.org/I121820613"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5161297931"],"corresponding_institution_ids":["https://openalex.org/I121820613"],"apc_list":{"value":0,"currency":"USD","value_usd":0},"apc_paid":null,"fwci":0.0,"has_fulltext":true,"cited_by_count":0,"citation_normalized_percentile":{"value":0.0,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"9","issue":"1","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":1.0,"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":1.0,"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/T12006","display_name":"Ergonomics and Musculoskeletal Disorders","score":0.0,"subfield":{"id":"https://openalex.org/subfields/3307","display_name":"Human Factors and Ergonomics"},"field":{"id":"https://openalex.org/fields/33","display_name":"Social Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T11448","display_name":"Face recognition and analysis","score":0.0,"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/3d-human-pose-estimation","display_name":"3D human pose estimation","score":0.984000027179718},{"id":"https://openalex.org/keywords/single-camera-video","display_name":"single-camera video","score":0.8270000219345093},{"id":"https://openalex.org/keywords/spatiotemporal-graph-convolutional-network","display_name":"spatio-temporal graph convolutional network","score":0.9919999837875366},{"id":"https://openalex.org/keywords/industrial-workers","display_name":"industrial workers","score":0.6060000061988831},{"id":"https://openalex.org/keywords/ergonomic-risk-assessment","display_name":"ergonomic risk assessment","score":0.9490000009536743},{"id":"https://openalex.org/keywords/occlusion-robustness","display_name":"occlusion robustness","score":0.8529999852180481},{"id":"https://openalex.org/keywords/gated-recurrent-unit","display_name":"gated recurrent unit","score":0.925000011920929},{"id":"https://openalex.org/keywords/attention-mechanism","display_name":"attention mechanism","score":0.8679999709129333},{"id":"https://openalex.org/keywords/real-time-pose-estimation","display_name":"real-time pose estimation","score":0.843999981880188},{"id":"https://openalex.org/keywords/low-computational-cost","display_name":"low computational cost","score":0.6200000047683716}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7835000157356262},{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.7088000178337097},{"id":"https://openalex.org/C52102323","wikidata":"https://www.wikidata.org/wiki/Q1671968","display_name":"Pose","level":2,"score":0.680899977684021},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6766999959945679},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.5267999768257141},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.5012000203132629},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.48339998722076416},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.4480000138282776},{"id":"https://openalex.org/C105339364","wikidata":"https://www.wikidata.org/wiki/Q2297740","display_name":"Software deployment","level":2,"score":0.4431000053882599},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4120999872684479},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.328900009393692},{"id":"https://openalex.org/C77660652","wikidata":"https://www.wikidata.org/wiki/Q150971","display_name":"Computer graphics","level":2,"score":0.32109999656677246},{"id":"https://openalex.org/C155846161","wikidata":"https://www.wikidata.org/wiki/Q1143367","display_name":"Graphical model","level":2,"score":0.2930999994277954},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.2824999988079071},{"id":"https://openalex.org/C175154964","wikidata":"https://www.wikidata.org/wiki/Q380077","display_name":"Task analysis","level":3,"score":0.2791999876499176},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.27730000019073486},{"id":"https://openalex.org/C48007421","wikidata":"https://www.wikidata.org/wiki/Q676252","display_name":"Motion capture","level":3,"score":0.2759000062942505},{"id":"https://openalex.org/C179799912","wikidata":"https://www.wikidata.org/wiki/Q205084","display_name":"Computational complexity theory","level":2,"score":0.26809999346733093},{"id":"https://openalex.org/C36464697","wikidata":"https://www.wikidata.org/wiki/Q451553","display_name":"Visualization","level":2,"score":0.25940001010894775}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1186/s42492-026-00237-x","doi":"https://doi.org/10.1186/s42492-026-00237-x","is_oa":true,"landing_page_url":"https://doi.org/10.1186/s42492-026-00237-x","pdf_url":"https://link.springer.com/content/pdf/10.1186/s42492-026-00237-x.pdf","source":{"id":"https://openalex.org/S3035464634","display_name":"Visual Computing for Industry Biomedicine and Art","issn_l":"2096-496X","issn":["2096-496X","2524-4442"],"is_oa":true,"is_in_doaj":true,"is_core":true,"listed_in":["cwts-core","doaj","dongbi-c","jufo-1","ki-jl-1","oarl","poland-20","russia-white-list-1"],"host_organization":"https://openalex.org/P4310319965","host_organization_name":"Springer Nature","host_organization_lineage":["https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Visual Computing for Industry, Biomedicine, and Art","raw_type":"journal-article"},{"id":"pmid:43000589","doi":null,"is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/43000589","pdf_url":null,"source":{"id":"https://openalex.org/S4306525036","display_name":"PubMed","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Visual computing for industry, biomedicine, and art","raw_type":"Journal Article"}],"best_oa_location":{"id":"doi:10.1186/s42492-026-00237-x","doi":"https://doi.org/10.1186/s42492-026-00237-x","is_oa":true,"landing_page_url":"https://doi.org/10.1186/s42492-026-00237-x","pdf_url":"https://link.springer.com/content/pdf/10.1186/s42492-026-00237-x.pdf","source":{"id":"https://openalex.org/S3035464634","display_name":"Visual Computing for Industry Biomedicine and Art","issn_l":"2096-496X","issn":["2096-496X","2524-4442"],"is_oa":true,"is_in_doaj":true,"is_core":true,"listed_in":["cwts-core","doaj","dongbi-c","jufo-1","ki-jl-1","oarl","poland-20","russia-white-list-1"],"host_organization":"https://openalex.org/P4310319965","host_organization_name":"Springer Nature","host_organization_lineage":["https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Visual Computing for Industry, Biomedicine, and Art","raw_type":"journal-article"},"sustainable_development_goals":[],"study_designs":[],"awards":[{"id":"https://openalex.org/G758173901","display_name":"Collaborative Research: FW-HTF-R: Wearable Safety Sensing and Assistive Robot-Worker Collaboration for an Augmented Workforce in Construction","funder_award_id":"2222881","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"}],"funders":[{"id":"https://openalex.org/F4320306076","display_name":"National Science Foundation","ror":"https://ror.org/021nxhr62"},{"id":"https://openalex.org/F4320306084","display_name":"U.S. Department of Energy","ror":"https://ror.org/01bj3aw27"}],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W7225593131.pdf","grobid_xml":"https://content.openalex.org/works/W7225593131.grobid-xml"},"referenced_works_count":68,"referenced_works":["https://openalex.org/W639708223","https://openalex.org/W1605181360","https://openalex.org/W1861492603","https://openalex.org/W1959608418","https://openalex.org/W1966941463","https://openalex.org/W1974562827","https://openalex.org/W2000437662","https://openalex.org/W2024097232","https://openalex.org/W2026693952","https://openalex.org/W2031996657","https://openalex.org/W2033663068","https://openalex.org/W2053163794","https://openalex.org/W2065026126","https://openalex.org/W2068897309","https://openalex.org/W2080873731","https://openalex.org/W2082219790","https://openalex.org/W2101032778","https://openalex.org/W2162951521","https://openalex.org/W2307770531","https://openalex.org/W2328991057","https://openalex.org/W2471989303","https://openalex.org/W2573098616","https://openalex.org/W2588955080","https://openalex.org/W2593148160","https://openalex.org/W2604375920","https://openalex.org/W2651944537","https://openalex.org/W2767322120","https://openalex.org/W2770013142","https://openalex.org/W2791957585","https://openalex.org/W2806998878","https://openalex.org/W2807524661","https://openalex.org/W2909580866","https://openalex.org/W2914455489","https://openalex.org/W2918629098","https://openalex.org/W2921144593","https://openalex.org/W2939665722","https://openalex.org/W2963402313","https://openalex.org/W2963485691","https://openalex.org/W2963598138","https://openalex.org/W2964121744","https://openalex.org/W2964784655","https://openalex.org/W2966644954","https://openalex.org/W2982627166","https://openalex.org/W2987699057","https://openalex.org/W2989465897","https://openalex.org/W2993224035","https://openalex.org/W2994736397","https://openalex.org/W3036422827","https://openalex.org/W3110299991","https://openalex.org/W3121322113","https://openalex.org/W3123891196","https://openalex.org/W3154710845","https://openalex.org/W3159260561","https://openalex.org/W3160257192","https://openalex.org/W3174822420","https://openalex.org/W3184095310","https://openalex.org/W3192094570","https://openalex.org/W3201215588","https://openalex.org/W4205469917","https://openalex.org/W4311532909","https://openalex.org/W4322767025","https://openalex.org/W4328092711","https://openalex.org/W4386860430","https://openalex.org/W4389913867","https://openalex.org/W4392469136","https://openalex.org/W4393299482","https://openalex.org/W4399478371","https://openalex.org/W4399766718"],"related_works":["https://openalex.org/W3205717647","https://openalex.org/W4411173545","https://openalex.org/W4281645636","https://openalex.org/W4407362001","https://openalex.org/W3177383258","https://openalex.org/W4405824666","https://openalex.org/W2972662547","https://openalex.org/W4383502761","https://openalex.org/W4408064820","https://openalex.org/W4312122433"],"abstract_inverted_index":{"Accurate":[0],"three-dimensional":[1],"(3D)":[2],"human":[3],"pose":[4,89],"estimation":[5,90],"from":[6,51],"single-camera":[7],"two-dimensional":[8],"(2D)":[9],"videos":[10],"remains":[11],"a":[12,34,57,63,126],"fundamental":[13],"challenge":[14],"in":[15,19,144,160],"visual":[16,127],"computing,":[17],"particularly":[18],"industrial":[20,100,161],"environments":[21],"where":[22],"occlusions,":[23],"motion":[24,172],"blur,":[25],"and":[26,48,62,98,121,151,170],"varying":[27],"illumination":[28],"are":[29,77],"common.":[30],"This":[31],"paper":[32],"presents":[33],"spatiotemporal":[35],"graph":[36],"convolutional":[37],"network":[38],"(SGCN)":[39],"that":[40],"addresses":[41],"these":[42],"challenges":[43],"by":[44],"jointly":[45],"learning":[46],"spatial":[47],"temporal":[49],"dependencies":[50],"2D":[52],"keypoint":[53,75],"sequences.":[54],"SGCN":[55,103,156],"integrates":[56],"Gaussian-based":[58],"gated":[59],"recurrent":[60],"unit":[61],"variance-based":[64],"attention":[65],"mechanism":[66],"to":[67,149,166],"robustly":[68],"estimate":[69],"3D":[70,137],"joint":[71],"positions":[72],"even":[73],"when":[74],"data":[76],"noisy":[78],"or":[79],"partially":[80],"missing.":[81],"The":[82,147],"authors":[83],"evaluate":[84],"the":[85,135],"method":[86],"on":[87,112],"standard":[88],"benchmark":[91],"datasets":[92],"(MPII,":[93],"COCO,":[94],"UP-3D,":[95],"Human3.6":[96],"M)":[97],"real-world":[99],"worker":[101],"dataset.":[102],"achieves":[104],"state-of-the-art":[105],"mean":[106],"per-joint":[107],"position":[108],"error":[109],"(43.7":[110],"mm":[111],"fused":[113],"data)":[114],"while":[115],"requiring":[116],"only":[117],"4.2":[118],"Giga":[119],"floating-points":[120],"15.8":[122],"M":[123],"parameters.":[124],"As":[125],"computing":[128],"application":[129],"for":[130,158],"industry,":[131],"we":[132],"demonstrate":[133],"how":[134],"estimated":[136],"poses":[138],"enable":[139],"automated":[140],"ergonomic":[141],"risk":[142],"assessment":[143],"real":[145],"time.":[146],"robustness":[148],"occlusion":[150],"low":[152],"computational":[153],"cost":[154],"make":[155],"suitable":[157],"deployment":[159],"settings,":[162],"with":[163],"potential":[164],"extensions":[165],"biomedical":[167],"gait":[168],"analysis":[169],"artistic":[171],"capture.":[173]},"counts_by_year":[],"updated_date":"2026-11-11T12:16:26.678958","created_date":"2026-11-09T00:00:00"}
