Framework for Dynamic Evaluation of Muscle Fatigue in Manual Handling Work
Liang Ma (IRCCyN), Fouad Bennis (IRCCyN), Damien Chablat (IRCCyN), Wei, Zhang (DIE)

TL;DR
This paper proposes a new framework utilizing virtual reality and physiological modeling to evaluate muscle fatigue dynamically during manual handling tasks, addressing limitations of static analysis methods.
Contribution
It introduces a novel dynamic muscle fatigue model integrated into a VR-based evaluation framework for ergonomic assessment.
Findings
Effective virtual environment for dynamic fatigue assessment
Integration of motion and load data for fatigue evaluation
Enhanced understanding of fatigue in real-time tasks
Abstract
Muscle fatigue is defined as the point at which the muscle is no longer able to sustain the required force or work output level. The overexertion of muscle force and muscle fatigue can induce acute pain and chronic pain in human body. When muscle fatigue is accumulated, the functional disability can be resulted as musculoskeletal disorders (MSD). There are several posture exposure analysis methods useful for rating the MSD risks, but they are mainly based on static postures. Even in some fatigue evaluation methods, muscle fatigue evaluation is only available for static postures, but not suitable for dynamic working process. Meanwhile, some existing muscle fatigue models based on physiological models cannot be easily used in industrial ergonomic evaluations. The external dynamic load is definitely the most important factor resulting muscle fatigue, thus we propose a new fatigue model…
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