A stochastic model of human gait dynamics

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

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review


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.

Original languageEnglish
Pages (from-to)662-670
Number of pages9
JournalPhysica A: Statistical Mechanics and its Applications
Issue number1-4
StatePublished - 15 Dec 2002
Externally publishedYes


FundersFunder number
National Institutes of Health
National Institute on AgingAG14100, P60AG08812
National Center for Research ResourcesP41 RR13622
Eunice Kennedy Shriver National Institute of Child Health and Human DevelopmentHD39838


    • Human gait dynamics
    • Maturation
    • Multifractals
    • Scaling
    • Stochastic modeling
    • Volatility correlations


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