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Related Experiment Videos

Walking speed influences on gait cycle variability.

Kimberlee Jordan1, John H Challis, Karl M Newell

  • 1Department of Integrative Physiology, The University of Colorado, Carlson 202G, Boulder, CO 80309, USA. kimberlee.jordan@colorado.edu

Gait & Posture
|September 20, 2006
PubMed
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Human gait exhibits long-range correlations, reflecting adaptable locomotion. Optimal stability and adaptability in walking occur at preferred speeds, between 100% and 110% of preferred walking speed.

Area of Science:

  • Biomechanics
  • Human locomotion analysis
  • Dynamical systems theory

Background:

  • Human gait displays fractal dynamics, suggesting complex underlying control mechanisms.
  • Previous research indicates long-range correlations in walking and running stride intervals.

Purpose of the Study:

  • To examine how walking speed affects stride-to-stride gait fluctuations.
  • To test the hypothesis that fractal gait dynamics reflect attractor dynamics in human locomotion.

Main Methods:

  • Female participants completed 12-minute walking trials at varying speeds (80%-120% of preferred).
  • Eight gait cycle variables were analyzed, including stride/step parameters and ground reaction force metrics.
  • Detrended fluctuation analysis (DFA) was employed to assess long-range correlations.

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Main Results:

  • Long-range correlations were present in all investigated gait cycle variables.
  • Five of eight variables showed speed-dependent U-shaped functions, with minima near preferred walking speeds (100%-110%).

Conclusions:

  • Findings support the hypothesis that reduced correlation strength at preferred speeds indicates enhanced stability and adaptability.
  • The fractal nature of gait is linked to the attractor dynamics of human locomotion.