{"id":"https://openalex.org/W4400315004","doi":"https://doi.org/10.1109/isivc61350.2024.10577819","title":"A Deep-Learning Approach for Task Recognition of Industrial Workers and RULA Score Calculation","display_name":"A Deep-Learning Approach for Task Recognition of Industrial Workers and RULA Score Calculation","publication_year":2024,"publication_date":"2024-05-21","ids":{"openalex":"https://openalex.org/W4400315004","doi":"https://doi.org/10.1109/isivc61350.2024.10577819"},"language":"en","primary_location":{"id":"doi:10.1109/isivc61350.2024.10577819","is_oa":false,"landing_page_url":"https://doi.org/10.1109/isivc61350.2024.10577819","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 IEEE 12th International Symposium on Signal, Image, Video and Communications (ISIVC)","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5062831830","display_name":"Boubakeur Boufama","orcid":"https://orcid.org/0000-0003-0117-5614"},"institutions":[{"id":"https://openalex.org/I74413500","display_name":"University of Windsor","ror":"https://ror.org/01gw3d370","country_code":"CA","type":"education","lineage":["https://openalex.org/I74413500"]}],"countries":["CA"],"is_corresponding":true,"raw_author_name":"Boubakeur Boufama","raw_affiliation_strings":["University of Windsor,School of Computer Science,Windsor,Canada"],"affiliations":[{"raw_affiliation_string":"University of Windsor,School of Computer Science,Windsor,Canada","institution_ids":["https://openalex.org/I74413500"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5108846934","display_name":"Safa Q. Hussein","orcid":null},"institutions":[{"id":"https://openalex.org/I74413500","display_name":"University of Windsor","ror":"https://ror.org/01gw3d370","country_code":"CA","type":"education","lineage":["https://openalex.org/I74413500"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Sonaila Hussein","raw_affiliation_strings":["University of Windsor,School of Computer Science,Windsor,Canada"],"affiliations":[{"raw_affiliation_string":"University of Windsor,School of Computer Science,Windsor,Canada","institution_ids":["https://openalex.org/I74413500"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5016974970","display_name":"Eun\u2010Sik Kim","orcid":"https://orcid.org/0000-0002-5925-4668"},"institutions":[{"id":"https://openalex.org/I74413500","display_name":"University of Windsor","ror":"https://ror.org/01gw3d370","country_code":"CA","type":"education","lineage":["https://openalex.org/I74413500"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Eunsik Kim","raw_affiliation_strings":["University of Windsor,Dept. of Indutrial Engineering,Windsor,Canada"],"affiliations":[{"raw_affiliation_string":"University of Windsor,Dept. of Indutrial Engineering,Windsor,Canada","institution_ids":["https://openalex.org/I74413500"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5017364044","display_name":"Imran Shafiq Ahmad","orcid":null},"institutions":[{"id":"https://openalex.org/I74413500","display_name":"University of Windsor","ror":"https://ror.org/01gw3d370","country_code":"CA","type":"education","lineage":["https://openalex.org/I74413500"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Imran Ahmad","raw_affiliation_strings":["University of Windsor,School of Computer Science,Windsor,Canada"],"affiliations":[{"raw_affiliation_string":"University of Windsor,School of Computer Science,Windsor,Canada","institution_ids":["https://openalex.org/I74413500"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5062831830"],"corresponding_institution_ids":["https://openalex.org/I74413500"],"apc_list":null,"apc_paid":null,"fwci":0.7403,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.73362069,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":95,"max":96},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"6"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10763","display_name":"Digital Transformation in Industry","score":0.23109999299049377,"subfield":{"id":"https://openalex.org/subfields/2209","display_name":"Industrial and Manufacturing 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/T10763","display_name":"Digital Transformation in Industry","score":0.23109999299049377,"subfield":{"id":"https://openalex.org/subfields/2209","display_name":"Industrial and Manufacturing 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/T14011","display_name":"Elevator Systems and Control","score":0.2069000005722046,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.6979960203170776},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5975287556648254},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5857108235359192},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.43062523007392883},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.35101318359375},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.32689332962036133},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.21474513411521912}],"concepts":[{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.6979960203170776},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5975287556648254},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5857108235359192},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.43062523007392883},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.35101318359375},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.32689332962036133},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.21474513411521912},{"id":"https://openalex.org/C201995342","wikidata":"https://www.wikidata.org/wiki/Q682496","display_name":"Systems engineering","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/isivc61350.2024.10577819","is_oa":false,"landing_page_url":"https://doi.org/10.1109/isivc61350.2024.10577819","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 IEEE 12th International Symposium on Signal, Image, Video and Communications (ISIVC)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.7300000190734863,"id":"https://metadata.un.org/sdg/8","display_name":"Decent work and economic growth"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":8,"referenced_works":["https://openalex.org/W1976523049","https://openalex.org/W2149552744","https://openalex.org/W3023399063","https://openalex.org/W3048165892","https://openalex.org/W3177425773","https://openalex.org/W4210838959","https://openalex.org/W4288327876","https://openalex.org/W6764045775"],"related_works":["https://openalex.org/W2731899572","https://openalex.org/W2961085424","https://openalex.org/W3215138031","https://openalex.org/W4306674287","https://openalex.org/W3009238340","https://openalex.org/W4321369474","https://openalex.org/W4360585206","https://openalex.org/W4285208911","https://openalex.org/W3046775127","https://openalex.org/W3082895349"],"abstract_inverted_index":{"Human":[0],"activity":[1,145],"has":[2],"been":[3],"closely":[4],"related":[5],"to":[6,56,98,113],"the":[7,35,47,60,90,115,152,162],"development":[8],"of":[9,49,89,131,154],"musculoskeletal":[10],"disorders.":[11],"Workers":[12],"in":[13,23,161],"industries":[14],"such":[15,28,43],"as":[16,29],"manufacturing,":[17],"assembly,":[18],"and":[19,25,79,106,124,147],"construction":[20],"often":[21],"engage":[22],"repetitive":[24],"various":[26,50],"motions,":[27],"lifting":[30],"heavy":[31],"objects":[32],"or":[33],"performing":[34,64],"same":[36],"task":[37,77],"for":[38,76,118,144,157],"a":[39,72,86,109,129],"long":[40],"period.":[41],"Because":[42],"activities":[44,101],"can":[45],"increase":[46],"risk":[48],"muscular":[51],"disorders,":[52],"it":[53],"is":[54],"important":[55],"help":[57],"workers":[58],"choose":[59],"best":[61],"postures":[62],"when":[63],"their":[65],"activities.":[66,134],"In":[67],"this":[68],"study,":[69],"we":[70],"propose":[71],"deep":[73,155],"learning":[74,156],"approach":[75,84,127,140],"recognition":[78,146],"RULA":[80,116,148],"score":[81,117,149],"calculation.":[82],"Our":[83,135],"uses":[85],"revised":[87],"version":[88],"Long":[91],"Term":[92],"Recurrent":[93],"Convolutional":[94],"Neural":[95],"network-based":[96],"model":[97],"classify":[99],"work":[100,133],"based":[102],"on":[103],"video":[104],"input":[105,120],"then":[107],"applies":[108],"separate":[110],"neural":[111],"network":[112],"estimate":[114],"each":[119],"activity.":[121],"We":[122],"trained":[123],"evaluated":[125],"our":[126,139],"using":[128],"dataset":[130],"annotated":[132],"results":[136],"show":[137],"that":[138],"achieves":[141],"competitive":[142],"accuracy":[143],"estimation,":[150],"demonstrating":[151],"potential":[153],"improving":[158],"ergonomic":[159],"assessments":[160],"workplace.":[163]},"counts_by_year":[{"year":2025,"cited_by_count":2}],"updated_date":"2025-12-19T19:40:27.379048","created_date":"2025-10-10T00:00:00"}
