Ergonomic postural assessment using a new open-source human pose estimation technology (OpenPose)

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dc.contributor.authorKim, Woojooko
dc.contributor.authorSung, Jaehoko
dc.contributor.authorSaakes, Daniel Pieterko
dc.contributor.authorHuang, Chunxiko
dc.contributor.authorXiong, Shupingko
dc.date.accessioned2021-06-24T10:50:13Z-
dc.date.available2021-06-24T10:50:13Z-
dc.date.created2021-06-23-
dc.date.created2021-06-23-
dc.date.issued2021-07-
dc.identifier.citationINTERNATIONAL JOURNAL OF INDUSTRIAL ERGONOMICS, v.84, pp.103164-
dc.identifier.issn0169-8141-
dc.identifier.urihttp://hdl.handle.net/10203/286156-
dc.description.abstractObservational 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.languageEnglish-
dc.publisherELSEVIER-
dc.titleErgonomic postural assessment using a new open-source human pose estimation technology (OpenPose)-
dc.typeArticle-
dc.identifier.wosid000670535000004-
dc.identifier.scopusid2-s2.0-85108094387-
dc.type.rimsART-
dc.citation.volume84-
dc.citation.beginningpage103164-
dc.citation.publicationnameINTERNATIONAL JOURNAL OF INDUSTRIAL ERGONOMICS-
dc.identifier.doi10.1016/j.ergon.2021.103164-
dc.contributor.localauthorSaakes, Daniel Pieter-
dc.contributor.localauthorXiong, Shuping-
dc.contributor.nonIdAuthorHuang, Chunxi-
dc.description.isOpenAccessN-
dc.type.journalArticleArticle-
dc.subject.keywordAuthorErgonomic postural assessment-
dc.subject.keywordAuthorJoint angle-
dc.subject.keywordAuthorOpenPose-
dc.subject.keywordAuthorKinect-
dc.subject.keywordAuthorRULA-
dc.subject.keywordAuthorREBA-
dc.subject.keywordPlusMUSCULOSKELETAL DISORDERS-
dc.subject.keywordPlusMICROSOFT KINECT(TM)-
dc.subject.keywordPlusWORKING POSTURES-
dc.subject.keywordPlusSYSTEM-
dc.subject.keywordPlusRULA-
dc.subject.keywordPlusCONSTRUCTION-
dc.subject.keywordPlusVALIDATION-
dc.subject.keywordPlusTRACKING-
dc.subject.keywordPlusVALIDITY-
dc.subject.keywordPlusSENSOR-
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