Explicit forward gait prediction using parametric trajectories adaptation

Thomas Bonis , Nicolas Pronost (1) , Gilmar F Santos , Christof Hurschler , Saida Bouakaz

1 SAARA - Simulation, Analyse et Animation pour la Réalité Augmentée

Performing a subject specific and accurate predictive numerical gait simulation can be of great help in many clinical tasks. Though predictive methods often take into account the modifications applied to a reference motion, they are not always able to include the characteristics and the stability of the predicted motion. We propose an optimization-based approach that includes the resulting characteristics of the predicted motion. The optimization is enhanced by the use of parametric curves to represent the motion trajectories. Experimental studies on subjects with different gait patterns confirmed that our method preserves the characteristics of the gait.

Mots clés: Physical simulation; Interactive simulation; Optimization algorithms; Control methods

Domaines: Modélisation et simulation

Thomas Bonis, Nicolas Pronost, Gilmar F Santos, Christof Hurschler, Saida Bouakaz. Explicit forward gait prediction using parametric trajectories adaptation. Journées Françaises de l'Informatique Graphique (J.FIG), Nov 2021, Sophia-Antipolis, France. ⟨hal-03542676⟩