A stochastic model of human gait dynamics

Yosef Ashkenazy, Jeffrey M. Hausdorff, Plamen Ch. Ivanov and H Eugene Stanley

Physica A: Statistical Mechanics and its Applications, 2002, vol. 316, issue 1, 662-670

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 transition (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. Moreover, we find that the volatility exponent increases monotonically as a function of the width of the multifractal spectrum, suggesting the possibility of a change in multifractality with maturation.

Keywords: Human gait dynamics; Scaling; Multifractals; Volatility correlations; Stochastic modeling; Maturation (search for similar items in EconPapers)
Date: 2002
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Citations: View citations in EconPapers (9)

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Persistent link: https://EconPapers.repec.org/RePEc:eee:phsmap:v:316:y:2002:i:1:p:662-670

DOI: 10.1016/S0378-4371(02)01453-X

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