A stochastic model of human gait dynamics

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

Research output: Contribution to journalArticlepeer-review

139 Scopus citations


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


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

ASJC Scopus subject areas

  • Statistics and Probability
  • Condensed Matter Physics


Dive into the research topics of 'A stochastic model of human gait dynamics'. Together they form a unique fingerprint.

Cite this