Real-time Gait Analysis for Abnormal Gait Rehabilitation

Abstract

We established a method to determine the type and degree of abnormal gait in real time by computer analysis, which physical therapists judge visually. Aiming to determine the type and degree of abnormal gait on the spot without restraining the subject, we developed a system to determine normal or abnormal gait, or the type and degree of abnormal gait, from kinematic measurement data such as joint positions, knee and hip angles during gait, using an AI camera for skeletal line recognition originally developed by our study, which captures images of the subject walking from the side or front.