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The MusIC method: a fast and quasi-optimal solution to the muscle forces estimation problem

Antoine Muller 1, 2 Charles Pontonnier 3, 1, 2 Georges Dumont 1, 2
2 MIMETIC - Analysis-Synthesis Approach for Virtual Human Simulation
UR2 - Université de Rennes 2, Inria Rennes – Bretagne Atlantique , IRISA-D6 - MEDIA ET INTERACTIONS
Abstract : The present paper aims at presenting a fast and quasi-optimal method of muscle forces estimation: the MusIC method. It consists in interpolating a first estimation in a database generated offline thanks to a classical optimization problem, and then correcting it to respect the motion dynamics. Three different cost functions – two polynomial criteria and a min/max criterion – were tested on a planar musculoskeletal model. The MusIC method provides a computation frequency approximately ten times higher compared to a classical optimization problem with a relative mean error of 4% on cost function evaluation.
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Antoine Muller, Charles Pontonnier, Georges Dumont. The MusIC method: a fast and quasi-optimal solution to the muscle forces estimation problem. Computer Methods in Biomechanics and Biomedical Engineering, Taylor & Francis, 2018, 21 (2), pp.149-160. ⟨10.1080/10255842.2018.1429596⟩. ⟨hal-01710990⟩

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