A synergetic model for human gait transitions

Mohammad Abdolvahab

Physica A: Statistical Mechanics and its Applications, 2015, vol. 433, issue C, 74-83

Abstract: Gait transitions have been considered as bifurcations between states (e.g. walking or running modes) of a nonlinear dynamical system. A top-down synergetic approach to model gait transitions has been adapted from Frank et al. (2009) and applied to two sets of empirical observations. In this approach, it is assumed that the amplitudes of the spatio-temporal modes of locomotion satisfy a generic form of evolution equations that are known to hold for animate and inanimate self-organizing systems. The presented experimental results focus on hysteresis in human walk-to-run and run-to-walk transitions on a treadmill as a function of treadmill inclination and acceleration, the rate at which speed was increased or decreased during experimental trials. The bi-stability in the synergetic model is assumed to account for the hysteretic transitions. Accordingly, the relevant parameters of the model were estimated from the empirical data and the model’s efficacy in predicting the observed hysteresis effects was evaluated.

Keywords: Gait transition; Synergetics; Hysteresis; Dynamical systems (search for similar items in EconPapers)
Date: 2015
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Persistent link: https://EconPapers.repec.org/RePEc:eee:phsmap:v:433:y:2015:i:c:p:74-83

DOI: 10.1016/j.physa.2015.03.049

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