{"id":"https://openalex.org/W4388928872","doi":"https://doi.org/10.3390/s23239350","title":"Multi-Stream Fusion Network for Skeleton-Based Construction Worker Action Recognition","display_name":"Multi-Stream Fusion Network for Skeleton-Based Construction Worker Action Recognition","publication_year":2023,"publication_date":"2023-11-23","ids":{"openalex":"https://openalex.org/W4388928872","doi":"https://doi.org/10.3390/s23239350","pmid":"https://pubmed.ncbi.nlm.nih.gov/38067723"},"language":"en","primary_location":{"id":"doi:10.3390/s23239350","is_oa":true,"landing_page_url":"https://doi.org/10.3390/s23239350","pdf_url":"https://www.mdpi.com/1424-8220/23/23/9350/pdf?version=1700725306","source":{"id":"https://openalex.org/S101949793","display_name":"Sensors","issn_l":"1424-8220","issn":["1424-8220"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Sensors","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj","pubmed"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://www.mdpi.com/1424-8220/23/23/9350/pdf?version=1700725306","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5100387921","display_name":"Yuanyuan Tian","orcid":"https://orcid.org/0000-0003-3197-5460"},"institutions":[{"id":"https://openalex.org/I168719708","display_name":"City University of Hong Kong","ror":"https://ror.org/03q8dnn23","country_code":"HK","type":"education","lineage":["https://openalex.org/I168719708"]}],"countries":["HK"],"is_corresponding":false,"raw_author_name":"Yuanyuan Tian","raw_affiliation_strings":["Department of Architecture and Civil Engineering, City University of Hong Kong, Hong Kong 999077, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Architecture and Civil Engineering, City University of Hong Kong, Hong Kong 999077, China","institution_ids":["https://openalex.org/I168719708"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101721116","display_name":"Yan Liang","orcid":"https://orcid.org/0000-0003-4596-587X"},"institutions":[{"id":"https://openalex.org/I180726961","display_name":"Shenzhen University","ror":"https://ror.org/01vy4gh70","country_code":"CN","type":"education","lineage":["https://openalex.org/I180726961"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yan Liang","raw_affiliation_strings":["Key Laboratory for Resilient Infrastructures of Coastal Cities (MOE), College of Civil and Transportation Engineering, Shenzhen University, Shenzhen 518060, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Key Laboratory for Resilient Infrastructures of Coastal Cities (MOE), College of Civil and Transportation Engineering, Shenzhen University, Shenzhen 518060, China","institution_ids":["https://openalex.org/I180726961"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5039985101","display_name":"Haibin Yang","orcid":"https://orcid.org/0000-0002-6717-9733"},"institutions":[{"id":"https://openalex.org/I180726961","display_name":"Shenzhen University","ror":"https://ror.org/01vy4gh70","country_code":"CN","type":"education","lineage":["https://openalex.org/I180726961"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Haibin Yang","raw_affiliation_strings":["Key Laboratory for Resilient Infrastructures of Coastal Cities (MOE), College of Civil and Transportation Engineering, Shenzhen University, Shenzhen 518060, China"],"raw_orcid":"https://orcid.org/0000-0002-6717-9733","affiliations":[{"raw_affiliation_string":"Key Laboratory for Resilient Infrastructures of Coastal Cities (MOE), College of Civil and Transportation Engineering, Shenzhen University, Shenzhen 518060, China","institution_ids":["https://openalex.org/I180726961"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100380042","display_name":"Jiayu Chen","orcid":"https://orcid.org/0000-0001-9396-0059"},"institutions":[{"id":"https://openalex.org/I99065089","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549","country_code":"CN","type":"education","lineage":["https://openalex.org/I99065089"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Jiayu Chen","raw_affiliation_strings":["School of Civil Engineering, Tsinghua University, Beijing 100084, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Civil Engineering, Tsinghua University, Beijing 100084, China","institution_ids":["https://openalex.org/I99065089"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5100380042"],"corresponding_institution_ids":["https://openalex.org/I99065089"],"apc_list":{"value":2400,"currency":"CHF","value_usd":2598},"apc_paid":{"value":2400,"currency":"CHF","value_usd":2598},"fwci":0.6391,"has_fulltext":true,"cited_by_count":3,"citation_normalized_percentile":{"value":0.69323518,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":96},"biblio":{"volume":"23","issue":"23","first_page":"9350","last_page":"9350"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10809","display_name":"Occupational Health and Safety Research","score":0.9955000281333923,"subfield":{"id":"https://openalex.org/subfields/3614","display_name":"Radiological and Ultrasound Technology"},"field":{"id":"https://openalex.org/fields/36","display_name":"Health Professions"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}},"topics":[{"id":"https://openalex.org/T10809","display_name":"Occupational Health and Safety Research","score":0.9955000281333923,"subfield":{"id":"https://openalex.org/subfields/3614","display_name":"Radiological and Ultrasound Technology"},"field":{"id":"https://openalex.org/fields/36","display_name":"Health Professions"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}},{"id":"https://openalex.org/T11512","display_name":"Anomaly Detection Techniques and Applications","score":0.9908000230789185,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"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/T10812","display_name":"Human Pose and Action Recognition","score":0.9878000020980835,"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/bottleneck","display_name":"Bottleneck","score":0.802781343460083},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7005085945129395},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4868180453777313},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.4669440984725952},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.458479642868042},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.4409445822238922},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.4142216145992279},{"id":"https://openalex.org/keywords/block","display_name":"Block (permutation group theory)","score":0.41221633553504944},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.40533244609832764},{"id":"https://openalex.org/keywords/distributed-computing","display_name":"Distributed computing","score":0.3877652883529663},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.18179169297218323}],"concepts":[{"id":"https://openalex.org/C2780513914","wikidata":"https://www.wikidata.org/wiki/Q18210350","display_name":"Bottleneck","level":2,"score":0.802781343460083},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7005085945129395},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4868180453777313},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.4669440984725952},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.458479642868042},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.4409445822238922},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.4142216145992279},{"id":"https://openalex.org/C2777210771","wikidata":"https://www.wikidata.org/wiki/Q4927124","display_name":"Block (permutation group theory)","level":2,"score":0.41221633553504944},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.40533244609832764},{"id":"https://openalex.org/C120314980","wikidata":"https://www.wikidata.org/wiki/Q180634","display_name":"Distributed computing","level":1,"score":0.3877652883529663},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.18179169297218323},{"id":"https://openalex.org/C149635348","wikidata":"https://www.wikidata.org/wiki/Q193040","display_name":"Embedded system","level":1,"score":0.0},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","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},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0}],"mesh":[{"descriptor_ui":"D005528","descriptor_name":"Foot","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D005528","descriptor_name":"Foot","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D005528","descriptor_name":"Foot","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D005528","descriptor_name":"Foot","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D005528","descriptor_name":"Foot","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D006801","descriptor_name":"Humans","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D006801","descriptor_name":"Humans","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D006801","descriptor_name":"Humans","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D006801","descriptor_name":"Humans","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D006801","descriptor_name":"Humans","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D009141","descriptor_name":"Musculoskeletal System","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D009141","descriptor_name":"Musculoskeletal System","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D009141","descriptor_name":"Musculoskeletal System","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D009141","descriptor_name":"Musculoskeletal System","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D009141","descriptor_name":"Musculoskeletal System","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D012863","descriptor_name":"Skeleton","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D012863","descriptor_name":"Skeleton","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D012863","descriptor_name":"Skeleton","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D012863","descriptor_name":"Skeleton","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D012863","descriptor_name":"Skeleton","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D035002","descriptor_name":"Lower Extremity","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D035002","descriptor_name":"Lower Extremity","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D035002","descriptor_name":"Lower Extremity","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D035002","descriptor_name":"Lower Extremity","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D035002","descriptor_name":"Lower Extremity","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D060389","descriptor_name":"Construction Industry","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D060389","descriptor_name":"Construction Industry","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D060389","descriptor_name":"Construction Industry","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D060389","descriptor_name":"Construction Industry","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D060389","descriptor_name":"Construction Industry","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true}],"locations_count":6,"locations":[{"id":"doi:10.3390/s23239350","is_oa":true,"landing_page_url":"https://doi.org/10.3390/s23239350","pdf_url":"https://www.mdpi.com/1424-8220/23/23/9350/pdf?version=1700725306","source":{"id":"https://openalex.org/S101949793","display_name":"Sensors","issn_l":"1424-8220","issn":["1424-8220"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Sensors","raw_type":"journal-article"},{"id":"pmid:38067723","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/38067723","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,"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":"Sensors (Basel, Switzerland)","raw_type":null},{"id":"pmh:oai:pubmedcentral.nih.gov:10708836","is_oa":true,"landing_page_url":"https://www.ncbi.nlm.nih.gov/pmc/articles/10708836","pdf_url":"https://pmc.ncbi.nlm.nih.gov/articles/PMC10708836/pdf/sensors-23-09350.pdf","source":{"id":"https://openalex.org/S2764455111","display_name":"PubMed Central","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Sensors (Basel)","raw_type":"Text"},{"id":"pmh:oai:doaj.org/article:b0d4b84db15d42919c31f8395b02be53","is_oa":true,"landing_page_url":"https://doaj.org/article/b0d4b84db15d42919c31f8395b02be53","pdf_url":null,"source":{"id":"https://openalex.org/S4306401280","display_name":"DOAJ (DOAJ: Directory of Open Access Journals)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Sensors, Vol 23, Iss 23, p 9350 (2023)","raw_type":"article"},{"id":"pmh:oai:mdpi.com:/1424-8220/23/23/9350/","is_oa":true,"landing_page_url":"https://dx.doi.org/10.3390/s23239350","pdf_url":null,"source":{"id":"https://openalex.org/S4306400947","display_name":"MDPI (MDPI AG)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I4210097602","host_organization_name":"Multidisciplinary Digital Publishing Institute (Switzerland)","host_organization_lineage":["https://openalex.org/I4210097602"],"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":"Sensors","raw_type":"Text"},{"id":"pmh:oai:pure.atira.dk:publications/73bf459b-86a8-41eb-a03e-dda44862e8e7","is_oa":true,"landing_page_url":"https://hdl.handle.net/2031/73bf459b-86a8-41eb-a03e-dda44862e8e7","pdf_url":null,"source":{"id":"https://openalex.org/S7407055387","display_name":"CityU Scholars","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"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":"Tian, Y, Liang, Y, Yang, H & Chen, J 2023, 'Multi-Stream Fusion Network for Skeleton-Based Construction Worker Action Recognition', Sensors, vol. 23, no. 23, 9350. https://doi.org/10.3390/s23239350","raw_type":"info:eu-repo/semantics/article"}],"best_oa_location":{"id":"doi:10.3390/s23239350","is_oa":true,"landing_page_url":"https://doi.org/10.3390/s23239350","pdf_url":"https://www.mdpi.com/1424-8220/23/23/9350/pdf?version=1700725306","source":{"id":"https://openalex.org/S101949793","display_name":"Sensors","issn_l":"1424-8220","issn":["1424-8220"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Sensors","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G1257044448","display_name":null,"funder_award_id":"52208275","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"}],"has_content":{"pdf":true,"grobid_xml":false},"content_urls":{"pdf":"https://content.openalex.org/works/W4388928872.pdf"},"referenced_works_count":44,"referenced_works":["https://openalex.org/W1744759976","https://openalex.org/W1836465849","https://openalex.org/W1950788856","https://openalex.org/W2064675550","https://openalex.org/W2065961009","https://openalex.org/W2067755649","https://openalex.org/W2089351682","https://openalex.org/W2116341502","https://openalex.org/W2125539594","https://openalex.org/W2173027866","https://openalex.org/W2194775991","https://openalex.org/W2284126738","https://openalex.org/W2381252496","https://openalex.org/W2506886870","https://openalex.org/W2550143307","https://openalex.org/W2593146028","https://openalex.org/W2606294640","https://openalex.org/W2624431344","https://openalex.org/W2624614404","https://openalex.org/W2776687321","https://openalex.org/W2868755588","https://openalex.org/W2890616297","https://openalex.org/W2940457086","https://openalex.org/W2948058585","https://openalex.org/W2950568498","https://openalex.org/W2963076818","https://openalex.org/W2965909452","https://openalex.org/W2979059511","https://openalex.org/W2991376513","https://openalex.org/W2996249958","https://openalex.org/W3015616869","https://openalex.org/W3016719260","https://openalex.org/W3017147371","https://openalex.org/W3034810086","https://openalex.org/W3092336341","https://openalex.org/W3092754310","https://openalex.org/W3106350522","https://openalex.org/W3152893301","https://openalex.org/W3177890934","https://openalex.org/W4214624668","https://openalex.org/W4250304978","https://openalex.org/W4256315934","https://openalex.org/W4310011254","https://openalex.org/W4391324012"],"related_works":["https://openalex.org/W2595172197","https://openalex.org/W2084856301","https://openalex.org/W2127970246","https://openalex.org/W2885125400","https://openalex.org/W1989889224","https://openalex.org/W4382618745","https://openalex.org/W1973775000","https://openalex.org/W2748922771","https://openalex.org/W3013299381","https://openalex.org/W4293305277"],"abstract_inverted_index":{"The":[0,168],"global":[1,65],"concern":[2],"regarding":[3],"the":[4,40,46,83,94,115,142,176,180,187],"monitoring":[5,16],"of":[6,14,42,67,117,170,179,192],"construction":[7,22,181],"workers'":[8],"activities":[9],"necessitates":[10],"an":[11],"efficient":[12],"means":[13],"continuous":[15],"for":[17],"timely":[18],"action":[19],"recognition":[20],"at":[21],"sites.":[23],"This":[24,70],"paper":[25,172],"introduces":[26],"a":[27,150,154],"novel":[28],"approach-the":[29],"multi-scale":[30],"graph":[31],"strategy-to":[32],"enhance":[33,138,186],"feature":[34,166],"extraction":[35,116],"in":[36,56,114,174],"complex":[37],"networks.":[38],"At":[39],"core":[41],"this":[43,171],"strategy":[44],"lies":[45,173],"multi-feature":[47],"fusion":[48],"network":[49,58,105],"(MF-Net),":[50],"which":[51],"employs":[52],"multiple":[53],"scale":[54,101],"graphs":[55,102],"distinct":[57,104],"streams":[59],"to":[60,76,137,160,185],"capture":[61],"both":[62],"local":[63,74,119],"and":[64,85,96,127,141,153,189],"features":[66,136],"crucial":[68],"joints.":[69],"approach":[71],"extends":[72],"beyond":[73],"relationships":[75],"encompass":[77],"broader":[78],"connections,":[79],"including":[80],"those":[81,92],"between":[82],"head":[84,95],"foot,":[86],"as":[87,89,129,149],"well":[88],"interactions":[90],"like":[91],"involving":[93],"neck.":[97],"By":[98],"integrating":[99],"diverse":[100],"into":[103],"streams,":[106],"we":[107,124],"effectively":[108],"incorporate":[109],"physically":[110],"unrelated":[111],"information,":[112],"aiding":[113],"vital":[118],"joint":[120],"contour":[121],"features.":[122],"Furthermore,":[123],"introduce":[125],"velocity":[126],"acceleration":[128],"temporal":[130],"features,":[131],"fusing":[132],"them":[133],"with":[134],"spatial":[135],"informational":[139],"efficacy":[140],"model's":[143],"performance.":[144],"Finally,":[145],"efficiency-enhancing":[146],"measures,":[147],"such":[148],"bottleneck":[151],"structure":[152],"branch-wise":[155],"attention":[156],"block,":[157],"are":[158],"implemented":[159],"optimize":[161],"computational":[162],"resources":[163],"while":[164],"enhancing":[165],"discriminability.":[167],"significance":[169],"improving":[175],"management":[177],"model":[178],"industry,":[182],"ultimately":[183],"aiming":[184],"health":[188],"work":[190],"efficiency":[191],"workers.":[193]},"counts_by_year":[{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":1}],"updated_date":"2026-05-21T06:26:12.895304","created_date":"2025-10-10T00:00:00"}