Chaotic Analysis on Human Gait Time-Series Signals

Authors

  • D. Gomez Rivera, A. D. Palomino Merino, M. A. D. Vargas Treviño, and G. Etcheverry Author

Keywords:

Chaotic time-series, human gait, Lyapunov exponents.

Abstract

Human Gait analysis is an important subject given 
its application to the study of pathologies of the human 
locomotor system. The study of the chaotic behavior of this complex system can help to understand in deep the variability of the human gait patterns. This work explains how to develop an acquisition and analysis tool in a twofold manner: first, a simple and practical setup is implemented in order to achieve the measurement of a person Center of Mass (CoM) when walking; second, an improved method for estimating Lyapunov exponents 
is described in order to analyze the recorded time-series chaotic behavior. 

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Published

16.09.2016

How to Cite

Chaotic Analysis on Human Gait Time-Series Signals . (2016). International Journal of Information and Electronics Engineering, 6(5), 313-316. https://www.ijiee.org/index.php/ijiee/article/view/362