Human Muscle Fatigue Model in Dynamic Motions
This work addresses muscle fatigue and Musculoskeletal Disorder risk for industrial workers, but it is incremental as it extends static models to dynamic scenarios with limited validation.
The paper tackled the problem of modeling human muscle fatigue in dynamic motions, which existing models for static postures overlook, and demonstrated feasibility through an experiment with one person, showing it can predict fatigue and MSD risk quickly in industrial settings.
Human muscle fatigue is considered to be one of the main reasons for Musculoskeletal Disorder (MSD). Recent models have been introduced to define muscle fatigue for static postures. However, the main drawbacks of these models are that the dynamic effect of the human and the external load are not taken into account. In this paper, each human joint is assumed to be controlled by two muscle groups to generate motions such as push/pull. The joint torques are computed using Lagrange's formulation to evaluate the dynamic factors of the muscle fatigue model. An experiment is defined to validate this assumption and the result for one person confirms its feasibility. The evaluation of this model can predict the fatigue and MSD risk in industry production quickly.