Muscle Fatigue Analysis Using OpenSim

Jing Chang (1, 2) , Damien Chablat (1, 2) , Fouad Bennis (1, 2) , Liang Ma (3)

1 LS2N - Laboratoire des Sciences du Numérique de Nantes
2 LS2N - équipe ReV - Robotique Et Vivant
3 THU - Tsinghua University [Beijing]

In this research, attempts are made to conduct concrete muscle fatigue analysis of arbitrary motions on OpenSim, a digital human modeling platform. A plug-in is written on the base of a muscle fatigue model, which makes it possible to calculate the decline of force-output capability of each muscle along time. The plug-in is tested on a three-dimensional, 29 degree-of-freedom human model. Motion data is obtained by motion capturing during an arbitrary running at a speed of 3.96 m/s. Ten muscles are selected for concrete analysis. As a result, the force-output capability of these muscles reduced to 60%-70% after 10 minutes' running, on a general basis. Erector spinae, which loses 39.2% of its maximal capability, is found to be more fatigue-exposed than the others. The influence of subject attributes (fatigability) is evaluated and discussed.

Mots clés: muscle fatigability; muscle fatigue analysis; muscle fatigue model; OpenSim; digital human modeling

Domaines: Robotique [cs.RO]

Jing Chang, Damien Chablat, Fouad Bennis, Liang Ma. Muscle Fatigue Analysis Using OpenSim. Digital Human Modeling. Applications in Health, Safety, Ergonomics, and Risk Management: Ergonomics and Design, 10286, Springer, Cham, 2017, 978-3-319-58462-1. ⟨10.1007/978-3-319-58463-8_9⟩. ⟨hal-01521854⟩