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Humans Can Continuously Optimize Energetic Cost during Walking.

Jessica C Selinger1, Shawn M O'Connor1, Jeremy D Wong1

  • 1Department of Biomedical Physiology and Kinesiology, Simon Fraser University, Burnaby, BC V5A 1S6, Canada.

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Summary
This summary is machine-generated.

Humans can adapt their walking patterns in real-time to minimize energy expenditure. Studies show people adjust step frequency within minutes to find new energetic optima, demonstrating continuous motor control optimization.

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Area of Science:

  • Biomechanics
  • Human motor control
  • Energetic cost optimization

Background:

  • Humans naturally adopt movement patterns that minimize energy use per unit distance.
  • Optimal walking speed and step frequency are established over evolutionary and developmental timescales.
  • Real-time adaptation of motor programs for energy optimization remains unclear.

Purpose of the Study:

  • To investigate whether humans can optimize energetic cost in real-time during walking.
  • To determine the speed of adaptation to shifts in energetically optimal gait parameters.
  • To understand the role of energetic cost in continuous motor control.

Main Methods:

  • Utilized robotic exoskeletons to dynamically alter the energetically optimal step frequency.
  • Exposed participants to step frequencies higher and lower than their preferred optimal.
  • Measured adaptation of step frequency and re-convergence after perturbations.

Main Results:

  • Participants rapidly adapted their step frequency to new energetic optima within minutes.
  • Adaptation occurred even with small energy savings (<5%).
  • Gait re-converged to the updated optimum within seconds after transient perturbations.

Conclusions:

  • Human motor programs adapt in real-time to minimize energetic cost during walking.
  • Energetic cost actively shapes movement, rather than being a passive outcome.
  • Continuous, predictive mechanisms underlie real-time gait optimization for energy efficiency.