A Gait Recognition System based on SVM and Accelerations

Abstract

In order to get a higher recognition accuracy of gaits, a gait recognition system based on SVM and acceleration is proposed in this paper. The acceleration data are obtained from acceleration acquisition system based on AT90CAN128 and four accelerometers that attached on human's thigh and shank. Acceleration data includes four gaits which consist of sitting, standing, walking and going upstairs. After normalization and median filtering are used for data, GA based on SVM is applied for gait recognition. The overall recognition accuracy of four gaits is more than 90%. Proved by the results of experiments, gait recognition based on acceleration and SVM whose parameter C and g selected by GA is an effective approach. This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unres distribution, and reproduction in any medium, provided the original work is properly cited.