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

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 10 times higher compared to a classical optimization problem with a relative mean error of 4% on cost function evaluation.

Keywords:

• Musculoskeletal simulation
• computation time
• optimality
• interpolation
• correction

Notes

No potential conflict of interest was reported by the authors.

Additional information

Funding

This work was partially supported by the ANR project ENTRACTE [grant number ANR 13-CORD-002-01].