Analysis of a predictive forward simulator of human gaits



Thomas Bonis Nicolas Pronost Saida Bouakaz
Université de Lyon, Université Lyon 1 Université de Lyon, Université Lyon 1 Université de Lyon, Université Lyon 1
LIRIS CNRS UMR5205 LIRIS CNRS UMR5205 LIRIS CNRS UMR5205





Abstract :
Although predictive forward gait simulators have existed for a little while, only few sensitivity studies have been proposed. We present a study analysing precision, accuracy, stability and sensitivity of such simulator. We studied a gait simulator based on the trajectory mimicking method proposed by Lee et al. We assessed the effect of motion variation on the resulting gait simulation using the sensitivity analysis method proposed by Saltelli et al. Our method supports the use of this simulator for prediction.

Paper :
Paper presented at 5th International Conference on NeuroRehabilitation (ICNR2020). Download the paper

Video :
Download the conference talk.