ArticleInternational journal of environmental research and public health2022
A Work-Related Musculoskeletal Disorders (WMSDs) Risk-Assessment System Using a Single-View Pose Estimation Model.
Article in International journal of environmental research and public health, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.
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Who cites it
5 citing papers in PubMed.
- Development and psychometric validation of an innovative instrument to assess musculoskeletal disorder prevention behaviors in the petrochemical industry (PREMOVE).BMC public health · 2026Article
- Aligning Computer Vision with Expert Assessment: An Adaptive Hybrid Framework for Real-Time Fatigue Assessment in Smart Manufacturing.Sensors (Basel, Switzerland) · 2026Article
- Lightweight Vision Transformer for Frame-Level Ergonomic Posture Classification in Industrial Workflows.Sensors (Basel, Switzerland) · 2025Article
- Reliability of sitting posture between physical therapist video-based evaluation and SMART IMU system using rapid upper limb assessment (RULA).Scientific reports · 2025Article
- Development of a New Procedure for Evaluating Working Postures: An Application in a Manufacturing Company.International journal of environmental research and public health · 2022Article
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Authors and funding
6 authors.
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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.
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Registered trials
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