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Related Experiment Video

Updated: May 18, 2026

Using a Split-belt Treadmill to Evaluate Generalization of Human Locomotor Adaptation

Using a Split-belt Treadmill to Evaluate Generalization of Human Locomotor Adaptation

Published on: August 23, 2017

Side by side treadmill walking with intentionally desynchronized gait.

Jeff A Nessler¹, David McMillan, Michael Schoulten

¹Department of Kinesiology, California State University, San Marcos, 333. S. Twin Oaks Valley Rd., San Marcos, CA 92096, USA. jnessler@csusm.edu

Annals of Biomedical Engineering

|September 25, 2012

Summary

People naturally synchronize their walking when side-by-side. When one person intentionally alters their gait, it significantly impacts the other

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Asymmetric Walkway: A Novel Behavioral Assay for Studying Asymmetric Locomotion

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Asymmetric Walkway: A Novel Behavioral Assay for Studying Asymmetric Locomotion

Asymmetric Walkway: A Novel Behavioral Assay for Studying Asymmetric Locomotion

Published on: January 15, 2016

Area of Science:

Human locomotion
Biomechanics
Gait analysis

Background:

Humans exhibit a natural tendency to synchronize their stepping patterns when walking together.
Modifications in individual gait are necessary for this synchronization, potentially increasing with greater differences in walking patterns between partners.

Purpose of the Study:

To compare locomotor behavior under conditions of similar and substantially different walking patterns between partners.
To investigate how gait modifications occur when individuals walk side-by-side with partners exhibiting dissimilar gaits.

Main Methods:

Twenty-six unimpaired subjects walked on a motorized treadmill in three conditions: alone (SOLO), with a synchronized partner (PAIRED), and with a deliberately desynchronized partner (DeSYNC).
Analysis of sagittal plane kinematic data included calculating means, coefficients of variance, approximate entropy (ApEn), autocorrelation decay rate (α), and maximal Lyapunov exponents (λ*).

Main Results:

Few significant differences in gait parameters were observed between the SOLO and PAIRED conditions.
The DeSYNC condition led to notable alterations in gait complexity and stability, indicated by changes in ApEn, α, and λ*.
These findings suggest that increased differences in walking patterns between partners lead to greater gait modifications in individuals.

Conclusions:

The study indicates that the degree of gait modification during side-by-side walking is influenced by the disparity in walking patterns between partners.
Understanding these gait control mechanisms has potential implications for clinical applications and the broader study of human locomotion.