Gaits analysis using pressure image for subject identification

摘要

In this paper, a method for human identification using footprints obtained by a pressure sensor pad is proposed. The proposed method registers the sequence of pressure images in time and spatial domain and uses principle component analysis to produce a compact feature vector. The method is tested on footprints collected from 35 subjects and an accuracy of 97% is observed based on a 10-fold cross validation using SVM classifier.