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Humans exploit the trade-off between lateral stability and manoeuvrability during walking.

Rucha Kulkarni1, Francis M Grover2, Anna Shafer3

  • 1Department of Biomedical Engineering, Northwestern University, McCormick School of Engineering, Evanston, IL 60208, USA.

Proceedings. Biological Sciences
|December 10, 2024
PubMed
Summary
This summary is machine-generated.

People adjust walking stability based on their environment and intended movement. They increase stability when facing external disturbances and decrease it to prepare for quick sideways steps.

Keywords:
balancegaitlocomotionmargin of stabilityreaction time

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Area of Science:

  • Biomechanics
  • Human locomotion
  • Motor control

Background:

  • Walking involves a trade-off between stability and maneuverability.
  • Increased lateral stability resists lateral motion but facilitates medial motion.
  • Behavioral strategies for managing this trade-off are not fully understood.

Purpose of the Study:

  • To investigate how people adjust walking stability based on environmental conditions and planned maneuvers.
  • To characterize the behavioral exploitation of the stability-maneuverability relationship.

Main Methods:

  • 24 participants performed a discrete stepping task with reactive medial or lateral maneuvers.
  • The task was conducted in both a stable (Baseline) and a perturbed (random mediolateral pelvis perturbations) environment.
  • Lateral stability and maneuver reaction times were measured.

Main Results:

  • Participants increased lateral stability in the perturbed environment.
  • Maneuver reaction time increased for lateral maneuvers but not medial maneuvers in the perturbed environment.
  • Lower lateral stability was observed when anticipating a lateral maneuver compared to a medial maneuver.

Conclusions:

  • People behaviorally adjust lateral stability to exploit the mechanical relationship between stability and maneuverability.
  • These adjustments depend on the external environment and the goals of the walking task.
  • This highlights adaptive motor control strategies during locomotion.