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.
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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: Huang, YM.R., et al. Advances in Multimedia Information Processing - PCM 2008. PCM 2008. Lecture Notes in Computer Science, vol 5353. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-89796-5_48
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DOI: https://doi.org/10.1007/978-3-540-89796-5_48
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