Abstract

Human locomotion is a complex nonlinear process, which researchers have started to analyze using nonlinear dynamics analysis. This study investigates and quantifies the chaotic dynamics of walking gaits using different tools of nonlinear time-series analysis. The application of nonlinear dynamics techniques to gait cycle sequences may unveil the complexity of the human walking. For the walking gaits, calculated Lyapunov exponents and fractal dimensions suggested chaotic dynamics, which are intrinsic to human locomotor system. Such studies may open new avenues for research in gait pathologies and highlight the application of chaotic time-series analysis for examining physiological data.

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