Spatiotemporal analysis of human gait, based on feet trajectories estimated by means of depth sensors

This paper addresses a methodology for the analysis of human gait, based on data acquired by means depth sensors. is dedicated to healthcare-related applications and involves identification phases gait cycle thresholding estimates velocities examined person’s feet. In order assess its performance, series experiments was carried out using reference gait-analysis system pressure-distribution-measurement platform. An original method quantifying asymmetry, quasi-correlation between feet trajectories, also proposed tested experimentally. The results reported seem promise high applicability potential considered methodology.