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Implementation of Kinetic and Kinematic Variables in Ergonomic Risk Assessment Using Motion Capture Simulation: A Review
Work-related musculoskeletal disorders (WMSDs) are among the most common disorders in any work sector and industry. Ergonomic risk assessment can reduce the risk of WMSDs. Motion capture that can provide accurate and real-time quantitative data has been widely used as a tool for ergonomic risk asses...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8394735/ https://www.ncbi.nlm.nih.gov/pubmed/34444087 http://dx.doi.org/10.3390/ijerph18168342 |
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author | Yunus, Muhamad Nurul Hisyam Jaafar, Mohd Hafiidz Mohamed, Ahmad Sufril Azlan Azraai, Nur Zaidi Hossain, Md. Sohrab |
author_facet | Yunus, Muhamad Nurul Hisyam Jaafar, Mohd Hafiidz Mohamed, Ahmad Sufril Azlan Azraai, Nur Zaidi Hossain, Md. Sohrab |
author_sort | Yunus, Muhamad Nurul Hisyam |
collection | PubMed |
description | Work-related musculoskeletal disorders (WMSDs) are among the most common disorders in any work sector and industry. Ergonomic risk assessment can reduce the risk of WMSDs. Motion capture that can provide accurate and real-time quantitative data has been widely used as a tool for ergonomic risk assessment. However, most ergonomic risk assessments that use motion capture still depend on the traditional ergonomic risk assessment method, focusing on qualitative data. Therefore, this article aims to provide a view on the ergonomic risk assessment and apply current motion capture technology to understand classical mechanics of physics that include velocity, acceleration, force, and momentum in ergonomic risk assessment. This review suggests that using motion capture technologies with kinetic and kinematic variables, such as velocity, acceleration, and force, can help avoid inconsistency and develop more reliable results in ergonomic risk assessment. Most studies related to the physical measurement conducted with motion capture prefer to use non-optical motion capture because it is a low-cost system and simple experimental setup. However, the present review reveals that optical motion capture can provide more accurate data. |
format | Online Article Text |
id | pubmed-8394735 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-83947352021-08-28 Implementation of Kinetic and Kinematic Variables in Ergonomic Risk Assessment Using Motion Capture Simulation: A Review Yunus, Muhamad Nurul Hisyam Jaafar, Mohd Hafiidz Mohamed, Ahmad Sufril Azlan Azraai, Nur Zaidi Hossain, Md. Sohrab Int J Environ Res Public Health Review Work-related musculoskeletal disorders (WMSDs) are among the most common disorders in any work sector and industry. Ergonomic risk assessment can reduce the risk of WMSDs. Motion capture that can provide accurate and real-time quantitative data has been widely used as a tool for ergonomic risk assessment. However, most ergonomic risk assessments that use motion capture still depend on the traditional ergonomic risk assessment method, focusing on qualitative data. Therefore, this article aims to provide a view on the ergonomic risk assessment and apply current motion capture technology to understand classical mechanics of physics that include velocity, acceleration, force, and momentum in ergonomic risk assessment. This review suggests that using motion capture technologies with kinetic and kinematic variables, such as velocity, acceleration, and force, can help avoid inconsistency and develop more reliable results in ergonomic risk assessment. Most studies related to the physical measurement conducted with motion capture prefer to use non-optical motion capture because it is a low-cost system and simple experimental setup. However, the present review reveals that optical motion capture can provide more accurate data. MDPI 2021-08-06 /pmc/articles/PMC8394735/ /pubmed/34444087 http://dx.doi.org/10.3390/ijerph18168342 Text en © 2021 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Review Yunus, Muhamad Nurul Hisyam Jaafar, Mohd Hafiidz Mohamed, Ahmad Sufril Azlan Azraai, Nur Zaidi Hossain, Md. Sohrab Implementation of Kinetic and Kinematic Variables in Ergonomic Risk Assessment Using Motion Capture Simulation: A Review |
title | Implementation of Kinetic and Kinematic Variables in Ergonomic Risk Assessment Using Motion Capture Simulation: A Review |
title_full | Implementation of Kinetic and Kinematic Variables in Ergonomic Risk Assessment Using Motion Capture Simulation: A Review |
title_fullStr | Implementation of Kinetic and Kinematic Variables in Ergonomic Risk Assessment Using Motion Capture Simulation: A Review |
title_full_unstemmed | Implementation of Kinetic and Kinematic Variables in Ergonomic Risk Assessment Using Motion Capture Simulation: A Review |
title_short | Implementation of Kinetic and Kinematic Variables in Ergonomic Risk Assessment Using Motion Capture Simulation: A Review |
title_sort | implementation of kinetic and kinematic variables in ergonomic risk assessment using motion capture simulation: a review |
topic | Review |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8394735/ https://www.ncbi.nlm.nih.gov/pubmed/34444087 http://dx.doi.org/10.3390/ijerph18168342 |
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