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Muscle fatigue is considered as one of the major risk factors for developing musculoskeletal disorders. The aim of this project was to select an adequate fatigue assessment model for an implementation in Dassault Systemes digital human modeling software. A review of existing MET models has been done resulting in a decision to use the extended Ma's model (2010). In this project, only shoulder and elbow joints have been tested and more subjects will be necessary for further validation. The model has been compared to several endurance time (ET) static studies. Two dynamic experiments were also performed by two different subjects. The results showed that because of the inter-individual variability, a simple prediction curve or value, can't well predict individual measured ET (or task failure). There is a need for a chart representation which also shows standard deviation (SD) range. Considering the SD range, the results were included in the prediction. Thus, this range may help the human factors expert to nuance the prediction results while considering environment factors and some realities specific to the industry.

Preparative study regarding the implementation of a muscular fatigue model in a virtual task simulator