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Physica A 316 (2002) 662670 www.elsevier.com/locate/physa
 

Summary: Physica A 316 (2002) 662­670
www.elsevier.com/locate/physa
A stochastic model of human gait dynamics
Yosef Ashkenazya;, Je rey M. Hausdor b, Plamen Ch. Ivanova;b,
H. Eugene Stanleya
aCenter for Polymer Studies and Department of Physics, Boston University, Boston, MA 02215, USA
bBeth Israel Deaconess Medical Center, Harvard Medical School, Boston, MA 02215, USA
Received 16 August 2002
Abstract
We present a stochastic model of gait rhythm dynamics, based on transitions between di erent
"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 volatil-
ity exponents with maturation. The model also generates time series with multifractal spectra
whose broadness depends only on this parameter. Moreover, we ˙nd 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.
PACS: 05.40.-a; 87.90.+y; 87.15.Aa
Keywords: Human gait dynamics; Scaling; Multifractals; Volatility correlations; Stochastic modeling;

  

Source: Ashkenazy, Yossi "Yosef" - Department of Solar Energy and Environmental Physics, Jacob Blaustein Institutes for Desert Research,Ben-Gurion University of the Negev
Stanley, H. Eugene - Department of Physics, Boston University

 

Collections: Computer Technologies and Information Sciences; Environmental Management and Restoration Technologies; Materials Science; Physics