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Phase space reconstruction and estimation of the largest Lyapunov exponent for gait kinematic data

Journal Article · · AIP Conference Proceedings
DOI:https://doi.org/10.1063/1.4912882· OSTI ID:22391132
 [1];  [2]; ;  [2]
  1. Silesian University of Technology, Akademicka 16, 44-100 Gliwice (Poland)
  2. Polish-Japanese Institute of Information Technology, Aleja Legionów 2, 41-902 Bytom (Poland)

The authors describe an example of application of nonlinear time series analysis directed at identifying the presence of deterministic chaos in human motion data by means of the largest Lyapunov exponent. The method was previously verified on the basis of a time series constructed from the numerical solutions of both the Lorenz and the Rössler nonlinear dynamical systems.

OSTI ID:
22391132
Journal Information:
AIP Conference Proceedings, Journal Name: AIP Conference Proceedings Journal Issue: 1 Vol. 1648; ISSN APCPCS; ISSN 0094-243X
Country of Publication:
United States
Language:
English

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