DC Field | Value | Language |
---|---|---|
dc.contributor.author | Kim, Woojoo | ko |
dc.contributor.author | Sung, Jaeho | ko |
dc.contributor.author | Saakes, Daniel Pieter | ko |
dc.contributor.author | Huang, Chunxi | ko |
dc.contributor.author | Xiong, Shuping | ko |
dc.date.accessioned | 2021-06-24T10:50:13Z | - |
dc.date.available | 2021-06-24T10:50:13Z | - |
dc.date.created | 2021-06-23 | - |
dc.date.created | 2021-06-23 | - |
dc.date.issued | 2021-07 | - |
dc.identifier.citation | INTERNATIONAL JOURNAL OF INDUSTRIAL ERGONOMICS, v.84, pp.103164 | - |
dc.identifier.issn | 0169-8141 | - |
dc.identifier.uri | http://hdl.handle.net/10203/286156 | - |
dc.description.abstract | Observational ergonomic postural assessment methods have been commonly used to evaluate the risks of musculoskeletal disorders. Researchers have proposed semi-automatic methods using Kinect, known for limitations with body occlusions and non-frontal tracking. Meanwhile, new human pose estimation methods have been actively developed, and a popular open-source technology is OpenPose. This study aims to propose the OpenPose-based system for computing joint angles and RULA/REBA scores and validate against the reference motion capture system, and compare its performance to the Kinect-based system. Recordings of 10 participants performing 12 experimental tasks under different conditions: with/without body occlusions and tracked from frontal/non-frontal views were analyzed. OpenPose showed good performance under all task conditions, whereas Kinect performed significantly worse than OpenPose especially at cases with body occlusions or non-frontal tracking. The findings suggested that OpenPose could be a promising technology to measure joint angles and conduct semi-automatic ergonomic postural assessments in the real workspace where the conditions are often non-ideal. | - |
dc.language | English | - |
dc.publisher | ELSEVIER | - |
dc.title | Ergonomic postural assessment using a new open-source human pose estimation technology (OpenPose) | - |
dc.type | Article | - |
dc.identifier.wosid | 000670535000004 | - |
dc.identifier.scopusid | 2-s2.0-85108094387 | - |
dc.type.rims | ART | - |
dc.citation.volume | 84 | - |
dc.citation.beginningpage | 103164 | - |
dc.citation.publicationname | INTERNATIONAL JOURNAL OF INDUSTRIAL ERGONOMICS | - |
dc.identifier.doi | 10.1016/j.ergon.2021.103164 | - |
dc.contributor.localauthor | Saakes, Daniel Pieter | - |
dc.contributor.localauthor | Xiong, Shuping | - |
dc.contributor.nonIdAuthor | Huang, Chunxi | - |
dc.description.isOpenAccess | N | - |
dc.type.journalArticle | Article | - |
dc.subject.keywordAuthor | Ergonomic postural assessment | - |
dc.subject.keywordAuthor | Joint angle | - |
dc.subject.keywordAuthor | OpenPose | - |
dc.subject.keywordAuthor | Kinect | - |
dc.subject.keywordAuthor | RULA | - |
dc.subject.keywordAuthor | REBA | - |
dc.subject.keywordPlus | MUSCULOSKELETAL DISORDERS | - |
dc.subject.keywordPlus | MICROSOFT KINECT(TM) | - |
dc.subject.keywordPlus | WORKING POSTURES | - |
dc.subject.keywordPlus | SYSTEM | - |
dc.subject.keywordPlus | RULA | - |
dc.subject.keywordPlus | CONSTRUCTION | - |
dc.subject.keywordPlus | VALIDATION | - |
dc.subject.keywordPlus | TRACKING | - |
dc.subject.keywordPlus | VALIDITY | - |
dc.subject.keywordPlus | SENSOR | - |
Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.