Journal
PHYSICA A-STATISTICAL MECHANICS AND ITS APPLICATIONS
Volume 316, Issue 1-4, Pages 662-670Publisher
ELSEVIER SCIENCE BV
DOI: 10.1016/S0378-4371(02)01453-X
Keywords
human gait dynamics; scaling; multifractals; volatility correlations; stochastic modeling; maturation
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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. (C) 2002 Elsevier Science B.V. All rights reserved.
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