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Implementation of Kinetic and Kinematic Variables in Ergonomic Risk Assessment Using Motion Capture Simulation: A Review

Author

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  • Muhamad Nurul Hisyam Yunus

    (School of Industrial Technology, Universiti Sains Malaysia, USM, Penang 11800, Malaysia)

  • Mohd Hafiidz Jaafar

    (School of Industrial Technology, Universiti Sains Malaysia, USM, Penang 11800, Malaysia
    National Poison Centre, Universiti Sains Malaysia, USM, Penang 11800, Malaysia)

  • Ahmad Sufril Azlan Mohamed

    (School of Computer Sciences, Universiti Sains Malaysia, USM, Penang 11800, Malaysia)

  • Nur Zaidi Azraai

    (School of the Arts, Universiti Sains Malaysia, USM, Penang 11800, Malaysia)

  • Md. Sohrab Hossain

    (School of Industrial Technology, Universiti Sains Malaysia, USM, Penang 11800, Malaysia)

Abstract

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.

Suggested Citation

  • Muhamad Nurul Hisyam Yunus & Mohd Hafiidz Jaafar & Ahmad Sufril Azlan Mohamed & Nur Zaidi Azraai & Md. Sohrab Hossain, 2021. "Implementation of Kinetic and Kinematic Variables in Ergonomic Risk Assessment Using Motion Capture Simulation: A Review," IJERPH, MDPI, vol. 18(16), pages 1-14, August.
    • Handle: RePEc:gam:jijerp:v:18:y:2021:i:16:p:8342-:d:609717
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    References listed on IDEAS

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    6. Margherita Micheletti Cremasco & Ambra Giustetto & Federica Caffaro & Andrea Colantoni & Eugenio Cavallo & Stefano Grigolato, 2019. "Risk Assessment for Musculoskeletal Disorders in Forestry: A Comparison between RULA and REBA in the Manual Feeding of a Wood-Chipper," IJERPH, MDPI, vol. 16(5), pages 1-13, March.
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    Cited by:

    1. Muhamad Nurul Hisyam Yunus & Mohd Hafiidz Jaafar & Ahmad Sufril Azlan Mohamed & Nur Zaidi Azraai & Norhaniza Amil & Remy Md Zein, 2022. "Biomechanics Analysis of the Firefighters’ Thorax Movement on Personal Protective Equipment during Lifting Task Using Inertial Measurement Unit Motion Capture," IJERPH, MDPI, vol. 19(21), pages 1-16, October.
    2. Young-Jin Kwon & Do-Hyun Kim & Byung-Chang Son & Kyoung-Ho Choi & Sungbok Kwak & Taehong Kim, 2022. "A Work-Related Musculoskeletal Disorders (WMSDs) Risk-Assessment System Using a Single-View Pose Estimation Model," IJERPH, MDPI, vol. 19(16), pages 1-19, August.
    3. Rakhi Vijayakumar & Jae-ho Choi, 2022. "Emerging Trends of Ergonomic Risk Assessment in Construction Safety Management: A Scientometric Visualization Analysis," IJERPH, MDPI, vol. 19(23), pages 1-16, December.

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