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