Nonlinear Characterisation of Fronto-Normal Gait for Human Recognition

Authors:
T. K. Lee;Mohammed Belkhatir;P. A. Lee;S. Sanei
Affiliations:
School of EEE, Singapore Polytechnic, S(139651) and School of IT, Monash University, Petaling Jaya, 46150;School of IT, Monash University, Petaling Jaya, 46150;School of IT, Monash University, Petaling Jaya, 46150;Centre of Digital Signal Processing, Cardiff University, Cardiff, CF24 3AA
Venue:
PCM '08 Proceedings of the 9th Pacific Rim Conference on Multimedia: Advances in Multimedia Information Processing
Year:
2008

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Abstract

We present a novel analysis of multimedia data that is useful in human computer interfacing. By analyzing the video content of humans walking towards a camera, we establish the nonlinear nature of fronto-normal human gait which motivates the use of nonlinear dynamical analysis used in chaos theory to analyze human gait. In doing so, we obtain features that may be used as a biometric which can be used for automatic identification of humans using computers. We apply this in a multi-biometric experiment to demonstrate its effectiveness.