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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...

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Autores principales: Yunus, Muhamad Nurul Hisyam, Jaafar, Mohd Hafiidz, Mohamed, Ahmad Sufril Azlan, Azraai, Nur Zaidi, Hossain, Md. Sohrab
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2021
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.
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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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