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Related Experiment Videos

Adiabatic transformability hypothesis of human locomotion

M T Turvey1, K G Holt, J Obusek

  • 1Center for the Ecological Study of Perception and Action, University of Connecticut, Storrs 06268, USA.

Biological Cybernetics
|February 1, 1996
PubMed
Summary

Human locomotion strategies are governed by metabolic constraints (Qmetab = 1) and mechanical efficiency (delta Qmetab/delta v). Walking adheres to Qmetab = 1, while running follows a constant delta Qmetab/delta v, suggesting predictable metabolic costs.

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Area of Science:

  • Biomechanics
  • Human Locomotion
  • Metabolic Energy Expenditure

Background:

  • Human locomotion involves complex interplay between metabolic energy use and mechanical work.
  • Previous models have not fully integrated the constraints governing changes in locomotion speed.

Purpose of the Study:

  • To investigate the hypothesized attractive strategies governing metabolic and mechanical changes during human locomotion.
  • To experimentally evaluate these strategies in walking and running.

Main Methods:

  • Collected metabolic (ml O2s-1) and mechanical (delta Eks-1) data from 10 walking and 9 running subjects at varying treadmill speeds.
  • Analyzed the relationship between metabolic cost (Qmetab) and speed (v), and the rate of change of Qmetab with respect to v (delta Qmetab/delta v).

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Main Results:

  • Walking exhibited Qmetab <= 1, with a nonlinear trajectory influenced by Qmetab = 1 and constant delta Qmetab/delta v.
  • Running demonstrated Qmetab > 1, with a linear trajectory conforming to a constant delta Qmetab/delta v.
  • Identified potential predictability of running metabolic costs from mechanical measures in the v x delta Eks-1 space.

Conclusions:

  • Locomotion strategies are constrained by distinct metabolic and mechanical principles for walking and running.
  • The findings support the hypothesis of attractive strategies (Qmetab = 1 and constant delta Qmetab/delta v) governing human locomotion.
  • Metabolic costs during running may be predictable using mechanical parameters.