Simulation-based optimization approach for explicit forward gait prediction
| Thomas Bonis | Nicolas Pronost | Gilmar F. Santos | Christof Hurschler | Saida Bouakaz |
| Université de Lyon, Université Lyon 1 | Université de Lyon, Université Lyon 1 | Department of Orthopedics, Hannover Medical School | Department of Orthopedics, Hannover Medical School | Université de Lyon, Université Lyon 1 |
| LIRIS CNRS UMR5205 | LIRIS CNRS UMR5205 | Laboratory for Biomechanics and Biomaterials | Laboratory for Biomechanics and Biomaterials | LIRIS CNRS UMR5205 |
Abstract :
Accurate and specific predictive numerical simulation of the human gait can help in many clinical routines. Predictive methods often track modifications applied to a reference motion but that usually do not take into account the characteristics and the stability of the predicted motion. We propose an approach that includes a cost function, computed on the predicted motion, which optimization preserves these concerns. Experimental studies on subjects with different walking patterns confirmed that our method preserves the characteristics of the gait.
Paper :
Paper presented at 14th ACM SIGGRAPH Conference on Motion, Interaction and Games (2021). Download the paper
