Chaotic features of rhythmic joint movement

Hirokazu Iwase, Atsuo Murata

Research output: Contribution to journalArticlepeer-review

1 Citation (Scopus)

Abstract

The purpose of this study is to show the chaotic features of rhythmic joint movement. Depending on the experimental conditions, one (or both) elbow angle (s) was (were) measured by one (or two) goniometer (s). Pacing was provided for six different frequencies presented in random order. When the frequency of the pace increased, the fractal dimension and first Lyapunov exponent tended to increase. Moreover, the first Lyapunov exponent obtained positive values for all of the observed data. These results indicate that there is chaos in rhythmic joint movement and that the larger the frequency, the more chaotic the joint movement becomes.

Original languageEnglish
Pages (from-to)1175-1179
Number of pages5
JournalIEICE Transactions on Information and Systems
VolumeE85-D
Issue number7
Publication statusPublished - Jul 2002
Externally publishedYes

Keywords

  • Chaotic analysis
  • Fractal dimension
  • Lyapunov exponent
  • Rhythmic movement

ASJC Scopus subject areas

  • Software
  • Hardware and Architecture
  • Computer Vision and Pattern Recognition
  • Electrical and Electronic Engineering
  • Artificial Intelligence

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