Related Experiment Video
Updated: May 5, 2026

14:55
Methods to Quantify Pharmacologically Induced Alterations in Motor Function in Human Incomplete SCI
Published on: April 18, 2011
16.5K
Extraction of basic movement from whole-body movement, based on gait variability
Christian Maurer1, Vinzenz von Tscharner, Michael Samsom
1Human Performance Laboratory, Faculty of Kinesiology, University of Calgary Calgary, Alberta, Canada.
Physiological Reports
|December 5, 2013
Summary
This study quantifies running gait variability, finding that speed-variant movements are more controlled. Speed-invariant movements show minimal variability at specific speeds, offering insights into neuromuscular control strategies during running.
Area of Science:
- Biomechanics
- Human Movement Science
- Neuromuscular Control
Background:
- Understanding running gait variability is crucial for deciphering neuromuscular control strategies.
- Previous research has not fully distinguished between speed-dependent and speed-independent gait components.
Purpose of the Study:
- To quantify step-to-step variability (SSV) in speed-variant and speed-invariant components of whole-body running gait.
- To investigate how SSV changes across different running speeds.
- To gain insights into neuromuscular control during running.
Main Methods:
- Ten male recreational athletes performed treadmill running trials at five speeds (1.3-4.9 m/s).
- Principal Component Analysis (PCA) separated whole-body movement into principal movements (PMs).
- PMs were classified as speed-variant or speed-invariant based on range of motion changes with speed. SSV was calculated as absolute and relative measures.
Main Results:
- Absolute SSV of speed-variant movements increased with running speed.
- Relative SSV of speed-variant movements decreased asymptotically with increasing speed.
- Both absolute and relative SSV of speed-invariant movements showed a minimum at 3.1 m/s.
Conclusions:
- The whole-body gait pattern during running can be divided into speed-variant and speed-invariant components.
- Speed-variant movements appear more tightly controlled, exhibiting lower variability relative to their amplitude.
- Speed-invariant movements demonstrate a specific optimal speed for minimal variability, suggesting distinct control mechanisms.

