关键词: 无符号Laplace谱, 足底压力分布图像, 触觉步态识别, 支持向量机

Abstract: Aiming at the lack of tactile gait recognition only by using the pressure distribution feature, an algorithm on dynamic tactile gait recognition combined with signless Laplace spectrum is put forward. Tactile gait data under constant, fast or slow speed is collected. Then plantar pressure images are obtained, which can be divided into regions according to the plantar anatomy structure. The structure graph is constructed with regions of plantar pressure image for the nodes. And it is expressed in signless Laplace matrix. The spectrum feature is gained by using singular value decomposition to the matrix. The one-against-one support vector machine classification method is employed. Then the classifiers are designed in different speed. So gait recognition is realized. Experimental results show the recognition accuracy of the algorithm is high in different speed.

Key words: signless Laplace spectrum, plantar pressure image, tactile gait recognition, Support Vector Machine（SVM）