HAL will be down for maintenance from Friday, June 10 at 4pm through Monday, June 13 at 9am. More information
Skip to Main content Skip to Navigation
Journal articles

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.
Document type :
Journal articles
Complete list of metadata

Cited literature [35 references]  Display  Hide  Download

Contributor : Charles Pontonnier Connect in order to contact the contributor
Submitted on : Friday, February 16, 2018 - 3:53:04 PM
Last modification on : Friday, April 8, 2022 - 4:08:02 PM
Long-term archiving on: : Sunday, May 6, 2018 - 4:01:38 AM


Files produced by the author(s)



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⟩



Record views


Files downloads