Gait analysis of people relying on mobility aids by using laser range finder

Abstract

Gait analysis provides an effective way for the elderly to monitor abnormal gait, predict fall risk, and evaluate rehabilitation training. The laser range finder mounted on the mobility aids is used to analyze gait characteristics in this paper. The leg data segment recognition method based on Kalman filtering and difference measure is proposed to estimate legs position. The system is developed that detects gait cycle by integrating the zero-point constraint and the crests-based detection method and extracts spatiotemporal gait characteristics. The experimental results demonstrate the effectiveness of the methods.