Gait parameters identification using video tracking - Case study

Abstract

© 2015 IEEE. In studies so far have been shown that clinical analysis of the gait parameters is extremely important for improving diagnostics and following illness or deficiencies of lower extremities, as well as for analyzing recuperation levels after therapy. Purpose of this paper is to analyze possibility of using easily affordable web cameras for recording knee movement. Recordings are made with web cam on Fujitsu lifebook E laptop. Algorithm for object tracking is made in programming environment MatLAB. Five participants have participated in this research. Results are graphically presented for left and right leg for one gait cycle along straight line and values for anterior posterior (AP) translation are shown in tables for every phase of gait cycle. Acquired study results show that it is possible to measure observed parameter in this way and that values correspond with values obtained in previous studies.