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

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.
Authors:
 [1] ;  [2] ;  [3] ; ;  [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)
  3. (Poland)
Publication Date:
OSTI Identifier:
22391132
Resource Type:
Journal Article
Resource Relation:
Journal Name: AIP Conference Proceedings; Journal Volume: 1648; Journal Issue: 1; Conference: ICNAAM-2014: International Conference on Numerical Analysis and Applied Mathematics 2014, Rhodes (Greece), 22-28 Sep 2014; Other Information: (c) 2015 AIP Publishing LLC; Country of input: International Atomic Energy Agency (IAEA)
Country of Publication:
United States
Language:
English
Subject:
71 CLASSICAL AND QUANTUM MECHANICS, GENERAL PHYSICS; CHAOS THEORY; LYAPUNOV METHOD; NONLINEAR PROBLEMS; NUMERICAL SOLUTION; PHASE SPACE; TIME-SERIES ANALYSIS