A Work-Related Musculoskeletal Disorders (WMSDs) Risk-Assessment System Using a Single-View Pose Estimation Model

Young-Jin Kwon, Do-Hyun Kim, Byung-Chang Son, Kyoung-Ho Choi, Sungbok Kwak and Taehong Kim ()
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Young-Jin Kwon: Intelligent Robotics Research Division, Electronics and Telecommunications Research Institute, Daejeon 34129, Korea
Do-Hyun Kim: Intelligent Robotics Research Division, Electronics and Telecommunications Research Institute, Daejeon 34129, Korea
Byung-Chang Son: Department of Rehabilitation Technology, Korea Nazarene University, Cheonan 31172, Korea
Kyoung-Ho Choi: Department of Electronics Engineering, Mokpo National University, Muan 58554, Korea
Sungbok Kwak: Advanced Engineering Team, Duckyang Co., Ltd., Suwon 16229, Korea
Taehong Kim: School of Information and Communication Engineering, Chungbuk National University, Cheongju 28644, Korea

IJERPH, 2022, vol. 19, issue 16, 1-19

Abstract: Musculoskeletal disorders are an unavoidable occupational health problem. In particular, workers who perform repetitive tasks onsite in the manufacturing industry suffer from musculoskeletal problems. In this paper, we propose a system that evaluates the posture of workers in the manufacturing industry with single-view 3D human pose-estimation that can estimate the posture in 3D using an RGB camera that can easily acquire the posture of a worker in a complex workplace. The proposed system builds a Duckyang-Auto Worker Health Safety Environment (DyWHSE), a manufacturing-industry-specific dataset, to estimate the wrist pose evaluated by the Rapid Limb Upper Assessment (RULA). Additionally, we evaluate the quality of the built DyWHSE dataset using the Human3.6M dataset, and the applicability of the proposed system is verified by comparing it with the evaluation results of the experts. The proposed system provides quantitative assessment guidance for working posture risk assessment, assisting the continuous posture assessment of workers.

Keywords: WMSDs; RULA; dataset; deep learning; pose estimation (search for similar items in EconPapers)
JEL-codes: I I1 I3 Q Q5 (search for similar items in EconPapers)
Date: 2022
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (1)

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