A Stochastic Model of Human Gait Dynamics

Preprint

5 March 2001

preprint
Published by arXiv in arXiv

https://doi.org/10.48550/arXiv.cond-mat/0103119

Abstract

We present a stochastic model of gait rhythm dynamics, based on transitions between different ``neural centers'', that reproduces distinctive statistical properties of normal human walking. By tuning one model parameter, the hopping range, the model can describe alterations in gait dynamics from childhood to adulthood --- including a decrease in the correlation and volatility exponents with maturation. The model also generates time series with multifractal spectra whose broadness depends only on this parameter.

Keywords

STATISTICAL PROPERTIES
STOCHASTIC MODEL
GAIT DYNAMICS
MODEL OF GAIT
TIME SERIES
VOLATILITY
WALKING
HUMAN

All Related Versions

Version 1, 2001-03-05, ArXiv
Published version: Physica A: Statistical Mechanics and its Applications, 316 (1-4), 662.

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