{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,6,28]],"date-time":"2026-06-28T23:14:08Z","timestamp":1782688448070,"version":"3.54.5"},"reference-count":53,"publisher":"MDPI AG","issue":"16","license":[{"start":{"date-parts":[[2020,8,7]],"date-time":"2020-08-07T00:00:00Z","timestamp":1596758400000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"DOI":"10.13039\/501100005015","name":"South China University of Technology","doi-asserted-by":"publisher","award":["D6192270"],"award-info":[{"award-number":["D6192270"]}],"id":[{"id":"10.13039\/501100005015","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100002412","name":"Xi\u2019an Jiaotong University","doi-asserted-by":"publisher","award":["7121192301"],"award-info":[{"award-number":["7121192301"]}],"id":[{"id":"10.13039\/501100002412","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Sensors"],"abstract":"<jats:p>Determining the potential risks of musculoskeletal disorders through working postures in a workplace is expensive and time-consuming. A novel intelligent rapid entire body assessment (REBA) system based on convolutional pose machines (CPM), entitled the Quick Capture system, was applied to determine the risk levels. The aim of the study was to validate the feasibility and reliability of the CPM-based REBA system through a simulation experiment. The reliability was calculated from the differences of motion angles between the CPM-based REBA and a motion capture system. Results show the data collected by the Quick Capture system were consistent with those of the motion capture system; the average of root mean squared error (RMSE) was 4.77 and the average of Spearman\u2019s rho (\u03c1) correlation coefficient in the different 12 postures was 0.915. For feasibility evaluation, the linear weighted Cohen\u2019s kappa between the REBA score obtained by the Quick Capture system and those from the three experts were used. The result shows good agreement, with an average proportion agreement index (P0) of 0.952 and kappa of 0.738. The Quick Capture system does not only accurately analyze working posture, but also accurately determines risk level of musculoskeletal disorders. This study suggested that the Quick Capture system could be applied for a rapid and real-time on-site assessment.<\/jats:p>","DOI":"10.3390\/s20164414","type":"journal-article","created":{"date-parts":[[2020,8,7]],"date-time":"2020-08-07T09:30:54Z","timestamp":1596792654000},"page":"4414","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":44,"title":["An Evaluation of Posture Recognition Based on Intelligent Rapid Entire Body Assessment System for Determining Musculoskeletal Disorders"],"prefix":"10.3390","volume":"20","author":[{"ORCID":"https:\/\/orcid.org\/0000-0003-2654-2900","authenticated-orcid":false,"given":"Ze","family":"Li","sequence":"first","affiliation":[{"name":"School of Design, South China University of Technology, Guangzhou 510641, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Ruiqiu","family":"Zhang","sequence":"additional","affiliation":[{"name":"School of Design, South China University of Technology, Guangzhou 510641, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-4093-556X","authenticated-orcid":false,"given":"Ching-Hung","family":"Lee","sequence":"additional","affiliation":[{"name":"School of Public Policy and Administration, Xi\u2019an Jiaotong University, Xi\u2019an 710000, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-5689-8441","authenticated-orcid":false,"given":"Yu-Chi","family":"Lee","sequence":"additional","affiliation":[{"name":"School of Design, South China University of Technology, Guangzhou 510641, China"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"1968","published-online":{"date-parts":[[2020,8,7]]},"reference":[{"key":"ref_1","doi-asserted-by":"crossref","first-page":"15","DOI":"10.1016\/j.apergo.2008.01.018","article-title":"National occupational research agenda (NORA) future directions in occupational musculoskeletal disorder health research","volume":"40","author":"Marras","year":"2009","journal-title":"Appl. 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