Gait analysis and machine learning classification on healthy subjects in normal walking

Abstract

Walking is one of the most fundamental activities of human, and there have already been many studies on human walking. However, most of the studies so far mainly focus on the impaired gait of the patients with some disease or injury, and thus there are not many studies on the gait patterns of healthy subjects. In this study, we performed a gait analysis on 113 healthy subjects in normal walking and tried to classify their walking patterns by using cluster analysis and principal component analysis. As a result, we got the basic data on the body movement of healthy walkers and the criteria for the evaluation and classification of unimpaired gait patterns.