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Sensor-Based Motion Tracking System Evaluation for RULA in Assembly Task
Industries need a mechanism to monitor the workers’ safety and to prevent Work-related Musculoskeletal Disorders (WMSDs). The development of ergonomics assessment tools helps the industry evaluate workplace design and worker posture. Many studies proposed the automated ergonomics assessment method t...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9692452/ https://www.ncbi.nlm.nih.gov/pubmed/36433494 http://dx.doi.org/10.3390/s22228898 |
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author | Senjaya, Wenny Franciska Yahya, Bernardo Nugroho Lee, Seok-Lyong |
author_facet | Senjaya, Wenny Franciska Yahya, Bernardo Nugroho Lee, Seok-Lyong |
author_sort | Senjaya, Wenny Franciska |
collection | PubMed |
description | Industries need a mechanism to monitor the workers’ safety and to prevent Work-related Musculoskeletal Disorders (WMSDs). The development of ergonomics assessment tools helps the industry evaluate workplace design and worker posture. Many studies proposed the automated ergonomics assessment method to replace the manual; however, it only focused on calculating body angle and assessing the wrist section manually. This study aims to (a) propose a wrist kinematics measurement based on unobtrusive sensors, (b) detect potential WMSDs related to wrist posture, and (c) compare the wrist posture of subjects while performing assembly tasks to achieve a comprehensive and personalized ergonomic assessment. The wrist posture measurement is combined with the body posture measurement to provide a comprehensive ergonomics assessment based on RULA. Data were collected from subjects who performed the assembly process to evaluate our method. We compared the risk score assessed by the ergonomist and the risk score generated by our method. All body segments achieved more than an 80% similarity score, enhancing the scores for wrist position and wrist twist by 6.8% and 0.3%, respectively. A hypothesis analysis was conducted to evaluate the difference across the subjects. The results indicate that every subject performs tasks differently and has different potential risks regarding wrist posture. |
format | Online Article Text |
id | pubmed-9692452 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-96924522022-11-26 Sensor-Based Motion Tracking System Evaluation for RULA in Assembly Task Senjaya, Wenny Franciska Yahya, Bernardo Nugroho Lee, Seok-Lyong Sensors (Basel) Article Industries need a mechanism to monitor the workers’ safety and to prevent Work-related Musculoskeletal Disorders (WMSDs). The development of ergonomics assessment tools helps the industry evaluate workplace design and worker posture. Many studies proposed the automated ergonomics assessment method to replace the manual; however, it only focused on calculating body angle and assessing the wrist section manually. This study aims to (a) propose a wrist kinematics measurement based on unobtrusive sensors, (b) detect potential WMSDs related to wrist posture, and (c) compare the wrist posture of subjects while performing assembly tasks to achieve a comprehensive and personalized ergonomic assessment. The wrist posture measurement is combined with the body posture measurement to provide a comprehensive ergonomics assessment based on RULA. Data were collected from subjects who performed the assembly process to evaluate our method. We compared the risk score assessed by the ergonomist and the risk score generated by our method. All body segments achieved more than an 80% similarity score, enhancing the scores for wrist position and wrist twist by 6.8% and 0.3%, respectively. A hypothesis analysis was conducted to evaluate the difference across the subjects. The results indicate that every subject performs tasks differently and has different potential risks regarding wrist posture. MDPI 2022-11-17 /pmc/articles/PMC9692452/ /pubmed/36433494 http://dx.doi.org/10.3390/s22228898 Text en © 2022 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 | Article Senjaya, Wenny Franciska Yahya, Bernardo Nugroho Lee, Seok-Lyong Sensor-Based Motion Tracking System Evaluation for RULA in Assembly Task |
title | Sensor-Based Motion Tracking System Evaluation for RULA in Assembly Task |
title_full | Sensor-Based Motion Tracking System Evaluation for RULA in Assembly Task |
title_fullStr | Sensor-Based Motion Tracking System Evaluation for RULA in Assembly Task |
title_full_unstemmed | Sensor-Based Motion Tracking System Evaluation for RULA in Assembly Task |
title_short | Sensor-Based Motion Tracking System Evaluation for RULA in Assembly Task |
title_sort | sensor-based motion tracking system evaluation for rula in assembly task |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9692452/ https://www.ncbi.nlm.nih.gov/pubmed/36433494 http://dx.doi.org/10.3390/s22228898 |
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