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. © 2008 Springer.
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Lee, T. K. M., Belkhatir, M., Lee, P. A., & Sanei, S. (2008). Nonlinear characterisation of fronto-normal gait for human recognition. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 5353 LNCS, pp. 466–475). https://doi.org/10.1007/978-3-540-89796-5_48
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