Automated Interpretable Membership Functions in Human Gait

Abstract

The authors have developed a system to diagnose an impairment or disorder and to identify the point at which this impairment has occurred. Notably the experienced clinician continues to perform functional gait assessment in the absence of new advances. Conventional gait therapy for patients that have suffered a debilitating trauma involves many human factors that can be, at times, arbitrary, and often times inconsistent. The aim of this paper is the application of a fuzzy inference engine to emulate human reasoning in assessing functional impairments. This involves the application of fuzzy sets theory to analyze and to interpret human gait for automated diagnosis and therapy. Preliminary results are presented using the VICON motion capture system as the environment.