{"id":"https://openalex.org/W2772884113","doi":"https://doi.org/10.1109/smc.2017.8123065","title":"RGB-D human posture analysis for ergonomie studies using deep convolutional neural network","display_name":"RGB-D human posture analysis for ergonomie studies using deep convolutional neural network","publication_year":2017,"publication_date":"2017-10-01","ids":{"openalex":"https://openalex.org/W2772884113","doi":"https://doi.org/10.1109/smc.2017.8123065","mag":"2772884113"},"language":"en","primary_location":{"id":"doi:10.1109/smc.2017.8123065","is_oa":false,"landing_page_url":"https://doi.org/10.1109/smc.2017.8123065","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 IEEE International Conference on Systems, Man, and Cybernetics (SMC)","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/A5088397310","display_name":"Ahmed Abobakr","orcid":"https://orcid.org/0000-0002-6664-2335"},"institutions":[{"id":"https://openalex.org/I149704539","display_name":"Deakin University","ror":"https://ror.org/02czsnj07","country_code":"AU","type":"education","lineage":["https://openalex.org/I149704539"]},{"id":"https://openalex.org/I4210105785","display_name":"Intelligent Systems Research (United States)","ror":"https://ror.org/01reevc91","country_code":"US","type":"company","lineage":["https://openalex.org/I4210105785"]}],"countries":["AU","US"],"is_corresponding":true,"raw_author_name":"Ahmed Abobakr","raw_affiliation_strings":["Institute for Intelligent Systems Research and Innovation (IISRI), Deakin University"],"affiliations":[{"raw_affiliation_string":"Institute for Intelligent Systems Research and Innovation (IISRI), Deakin University","institution_ids":["https://openalex.org/I4210105785","https://openalex.org/I149704539"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5008390039","display_name":"Darius Nahavandi","orcid":"https://orcid.org/0000-0002-5007-9584"},"institutions":[{"id":"https://openalex.org/I4210105785","display_name":"Intelligent Systems Research (United States)","ror":"https://ror.org/01reevc91","country_code":"US","type":"company","lineage":["https://openalex.org/I4210105785"]},{"id":"https://openalex.org/I149704539","display_name":"Deakin University","ror":"https://ror.org/02czsnj07","country_code":"AU","type":"education","lineage":["https://openalex.org/I149704539"]}],"countries":["AU","US"],"is_corresponding":false,"raw_author_name":"Darius Nahavandi","raw_affiliation_strings":["Institute for Intelligent Systems Research and Innovation (IISRI), Deakin University"],"affiliations":[{"raw_affiliation_string":"Institute for Intelligent Systems Research and Innovation (IISRI), Deakin University","institution_ids":["https://openalex.org/I4210105785","https://openalex.org/I149704539"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5080894673","display_name":"Julie Iskander","orcid":"https://orcid.org/0000-0002-3426-4376"},"institutions":[{"id":"https://openalex.org/I4210105785","display_name":"Intelligent Systems Research (United States)","ror":"https://ror.org/01reevc91","country_code":"US","type":"company","lineage":["https://openalex.org/I4210105785"]},{"id":"https://openalex.org/I149704539","display_name":"Deakin University","ror":"https://ror.org/02czsnj07","country_code":"AU","type":"education","lineage":["https://openalex.org/I149704539"]}],"countries":["AU","US"],"is_corresponding":false,"raw_author_name":"Julie Iskander","raw_affiliation_strings":["Institute for Intelligent Systems Research and Innovation (IISRI), Deakin University"],"affiliations":[{"raw_affiliation_string":"Institute for Intelligent Systems Research and Innovation (IISRI), Deakin University","institution_ids":["https://openalex.org/I4210105785","https://openalex.org/I149704539"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5018882728","display_name":"Mohammed Hossny","orcid":"https://orcid.org/0000-0002-1593-6296"},"institutions":[{"id":"https://openalex.org/I149704539","display_name":"Deakin University","ror":"https://ror.org/02czsnj07","country_code":"AU","type":"education","lineage":["https://openalex.org/I149704539"]},{"id":"https://openalex.org/I4210105785","display_name":"Intelligent Systems Research (United States)","ror":"https://ror.org/01reevc91","country_code":"US","type":"company","lineage":["https://openalex.org/I4210105785"]}],"countries":["AU","US"],"is_corresponding":false,"raw_author_name":"Mohammed Hossny","raw_affiliation_strings":["Institute for Intelligent Systems Research and Innovation (IISRI), Deakin University"],"affiliations":[{"raw_affiliation_string":"Institute for Intelligent Systems Research and Innovation (IISRI), Deakin University","institution_ids":["https://openalex.org/I4210105785","https://openalex.org/I149704539"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5015293969","display_name":"Saeid Nahavandi","orcid":"https://orcid.org/0000-0002-0360-5270"},"institutions":[{"id":"https://openalex.org/I4210105785","display_name":"Intelligent Systems Research (United States)","ror":"https://ror.org/01reevc91","country_code":"US","type":"company","lineage":["https://openalex.org/I4210105785"]},{"id":"https://openalex.org/I149704539","display_name":"Deakin University","ror":"https://ror.org/02czsnj07","country_code":"AU","type":"education","lineage":["https://openalex.org/I149704539"]}],"countries":["AU","US"],"is_corresponding":false,"raw_author_name":"Saeid Nahavandi","raw_affiliation_strings":["Institute for Intelligent Systems Research and Innovation (IISRI), Deakin University"],"affiliations":[{"raw_affiliation_string":"Institute for Intelligent Systems Research and Innovation (IISRI), Deakin University","institution_ids":["https://openalex.org/I4210105785","https://openalex.org/I149704539"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5017069439","display_name":"Marty Smets","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Marty Smets","raw_affiliation_strings":["Ford Motor Company"],"affiliations":[{"raw_affiliation_string":"Ford Motor Company","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5088397310"],"corresponding_institution_ids":["https://openalex.org/I149704539","https://openalex.org/I4210105785"],"apc_list":null,"apc_paid":null,"fwci":4.1033,"has_fulltext":false,"cited_by_count":26,"citation_normalized_percentile":{"value":0.93783565,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":94,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"2885","last_page":"2890"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12006","display_name":"Ergonomics and Musculoskeletal Disorders","score":0.9987999796867371,"subfield":{"id":"https://openalex.org/subfields/3207","display_name":"Social Psychology"},"field":{"id":"https://openalex.org/fields/32","display_name":"Psychology"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},"topics":[{"id":"https://openalex.org/T12006","display_name":"Ergonomics and Musculoskeletal Disorders","score":0.9987999796867371,"subfield":{"id":"https://openalex.org/subfields/3207","display_name":"Social Psychology"},"field":{"id":"https://openalex.org/fields/32","display_name":"Psychology"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T11398","display_name":"Hand Gesture Recognition Systems","score":0.995199978351593,"subfield":{"id":"https://openalex.org/subfields/1709","display_name":"Human-Computer Interaction"},"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/T10084","display_name":"Musculoskeletal pain and rehabilitation","score":0.9868000149726868,"subfield":{"id":"https://openalex.org/subfields/2736","display_name":"Pharmacology"},"field":{"id":"https://openalex.org/fields/27","display_name":"Medicine"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.7481552362442017},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7355808019638062},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6787839531898499},{"id":"https://openalex.org/keywords/joint","display_name":"Joint (building)","score":0.6510260105133057},{"id":"https://openalex.org/keywords/kinematics","display_name":"Kinematics","score":0.556280255317688},{"id":"https://openalex.org/keywords/rgb-color-model","display_name":"RGB color model","score":0.5352383852005005},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.525935709476471},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.4932336211204529},{"id":"https://openalex.org/keywords/ground-truth","display_name":"Ground truth","score":0.4856887757778168},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4449300467967987},{"id":"https://openalex.org/keywords/identification","display_name":"Identification (biology)","score":0.42135441303253174},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.39998602867126465},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3535304069519043},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.1199299693107605}],"concepts":[{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.7481552362442017},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7355808019638062},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6787839531898499},{"id":"https://openalex.org/C18555067","wikidata":"https://www.wikidata.org/wiki/Q8375051","display_name":"Joint (building)","level":2,"score":0.6510260105133057},{"id":"https://openalex.org/C39920418","wikidata":"https://www.wikidata.org/wiki/Q11476","display_name":"Kinematics","level":2,"score":0.556280255317688},{"id":"https://openalex.org/C82990744","wikidata":"https://www.wikidata.org/wiki/Q166194","display_name":"RGB color model","level":2,"score":0.5352383852005005},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.525935709476471},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.4932336211204529},{"id":"https://openalex.org/C146849305","wikidata":"https://www.wikidata.org/wiki/Q370766","display_name":"Ground truth","level":2,"score":0.4856887757778168},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4449300467967987},{"id":"https://openalex.org/C116834253","wikidata":"https://www.wikidata.org/wiki/Q2039217","display_name":"Identification (biology)","level":2,"score":0.42135441303253174},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.39998602867126465},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3535304069519043},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.1199299693107605},{"id":"https://openalex.org/C74650414","wikidata":"https://www.wikidata.org/wiki/Q11397","display_name":"Classical mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C59822182","wikidata":"https://www.wikidata.org/wiki/Q441","display_name":"Botany","level":1,"score":0.0},{"id":"https://openalex.org/C170154142","wikidata":"https://www.wikidata.org/wiki/Q150737","display_name":"Architectural engineering","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/smc.2017.8123065","is_oa":false,"landing_page_url":"https://doi.org/10.1109/smc.2017.8123065","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 IEEE International Conference on Systems, Man, and Cybernetics (SMC)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.5099999904632568,"id":"https://metadata.un.org/sdg/9","display_name":"Industry, innovation and infrastructure"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":39,"referenced_works":["https://openalex.org/W1565402342","https://openalex.org/W1697927410","https://openalex.org/W1972861396","https://openalex.org/W1999523238","https://openalex.org/W2007603174","https://openalex.org/W2013445840","https://openalex.org/W2022508996","https://openalex.org/W2024097232","https://openalex.org/W2030712947","https://openalex.org/W2031996657","https://openalex.org/W2036196300","https://openalex.org/W2051168768","https://openalex.org/W2066562487","https://openalex.org/W2068897309","https://openalex.org/W2084035873","https://openalex.org/W2095705004","https://openalex.org/W2113325037","https://openalex.org/W2130281033","https://openalex.org/W2131918863","https://openalex.org/W2149552744","https://openalex.org/W2163605009","https://openalex.org/W2194775991","https://openalex.org/W2244090116","https://openalex.org/W2547005885","https://openalex.org/W2559085405","https://openalex.org/W2561860086","https://openalex.org/W2586778102","https://openalex.org/W2586907735","https://openalex.org/W2587590113","https://openalex.org/W2613718673","https://openalex.org/W2919115771","https://openalex.org/W2953106684","https://openalex.org/W2963038646","https://openalex.org/W2963956866","https://openalex.org/W6620707391","https://openalex.org/W6633727509","https://openalex.org/W6674330103","https://openalex.org/W6684191040","https://openalex.org/W6729909415"],"related_works":["https://openalex.org/W4226493464","https://openalex.org/W4312417841","https://openalex.org/W3193565141","https://openalex.org/W3133861977","https://openalex.org/W2951211570","https://openalex.org/W3167935049","https://openalex.org/W3103566983","https://openalex.org/W3029198973","https://openalex.org/W3102673927","https://openalex.org/W2327954668"],"abstract_inverted_index":{"Human":[0],"posture":[1,53],"analysis":[2,54],"is":[3,21],"a":[4,51,79,109,124],"task":[5],"of":[6,33,143,148],"utmost":[7],"importance":[8],"for":[9,75,85],"several":[10,101],"disciplines.":[11],"For":[12],"ergonomists,":[13],"extracting":[14],"postural":[15],"information":[16],"such":[17],"as":[18],"joint":[19,59,86,118,134],"angles":[20,60,87,119],"necessary":[22],"to":[23,98],"evaluating":[24],"ergonomie":[25],"assessment":[26],"metrics.":[27],"This":[28],"allows":[29],"the":[30,70],"early":[31],"identification":[32],"potential":[34],"work-related":[35],"musculoskeletal":[36],"disorders":[37],"in":[38],"manufacturing":[39],"industries,":[40],"and":[41,78,107,146],"thus":[42],"providing":[43],"adequate":[44],"interventions.":[45],"In":[46],"this":[47],"paper,":[48],"we":[49,90],"present":[50],"holistic":[52],"system":[55],"that":[56],"estimates":[57],"body":[58],"from":[61,94],"an":[62,140],"input":[63],"depth":[64],"image.":[65],"The":[66,114,129],"proposed":[67,130],"method":[68,131],"utilizes":[69],"low":[71],"cost":[72],"Kinect":[73],"sensor":[74],"data":[76],"acquisition":[77],"deep":[80],"convolutional":[81],"neural":[82],"network":[83],"model":[84],"regression.":[88],"Further,":[89],"rely":[91],"on":[92],"learning":[93,112],"synthetic":[95],"training":[96],"images":[97],"allow":[99],"simulating":[100],"physical":[102],"tasks":[103],"by":[104,138],"different":[105],"workers":[106],"obtain":[108],"highly":[110],"generalizable":[111],"model.":[113],"corresponding":[115],"ground":[116],"truth":[117],"have":[120],"been":[121],"generated":[122],"using":[123],"novel":[125],"inverse":[126],"kinematic":[127],"stage.":[128],"achieves":[132],"high":[133],"angels":[135],"prediction":[136],"rate":[137],"recording":[139],"average":[141],"MAE":[142],"4.67":[144],"deg":[145],"RMSE":[147],"6.64":[149],"deg.":[150]},"counts_by_year":[{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":3},{"year":2022,"cited_by_count":3},{"year":2021,"cited_by_count":4},{"year":2020,"cited_by_count":2},{"year":2019,"cited_by_count":5},{"year":2018,"cited_by_count":7}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}