A human identification method based on dynamic plantar pressure distribution

A novel human identification method based on dynamic plantar pressure distribution was proposed in this paper. An in-shoe plantar pressure measure system was applied to collect pressure information and the plantar pressure database was established. The wavelet transform was used to remove the noise. We extracted two sides of information including pressure amplitude and position during walking. The support vector machine (SVM) was employed to classify human. Experiments with samples of 35 persons showed that the recognition rate reached 96%, and the proposed method was insensitive for weight. However, the walking speed had significant influence on recognition performance.