Magnitude and phase spectra of foot motion for gait recognition

Abstract

Magnitude and phase spectra of horizontal and vertical movement of ankles in a normal walk are effective and efficient signatures in gait recognition. An approach to use these spectra as phase-weighted magnitude spectra is also widely known. In this paper, we propose an integration of magnitude and phase spectra for gait recognition using AdaBoost classifier. At each round, a weak classifier evaluates each magnitude and phase spectra of a motion signal as dependent sub-features, then classification results of each sub-feature are normalized and summed for the final hypothesis output. Experimental results in same-day and cross-month tests with nine subjects show that using both magnitude and phase spectra improves the recognition results. © Springer-Verlag Berlin Heidelberg 2005.