Human Walking Kinematics Under Prescribed Step Width Conditions

Aggregating experimental data from human subjects walking on a treadmill under normal and five prescribed step width conditions. It includes measurements of torso state and foot placement used to infer linear feedback models for gait control. The data was collected by Jennifer A. Perry and published in 2020.

Use Cases

• Infer linear model coefficients between torso marker state at mid-stance and subsequent foot position to analyze gait feedback gains.
• Analyze changes in sideways foot placement response to sideways torso deviations across different prescribed step widths.
• Examine coupling between fore-aft foot placement and sideways torso deviations under varied walking conditions.
• Calculate Floquet multipliers from kinematic data to estimate walking stability correction rates following perturbations.
• Quantify foot placement variance and upper body motion variance (kinematic variability) relative to prescribed step width.

Strengths

• Data is derived from controlled human experiments with five distinct prescribed step width conditions.
• Includes inferred linear model coefficients analogous to feedback gains for foot placement control.
• Quantifies walking stability using Floquet multipliers from Poincare map analysis.

Limitations

• Specific data volume, file formats, and column structure are unknown, limiting immediate usability.
• The experimental scope is limited to treadmill walking, which may not fully represent overground gait dynamics.
• The dataset's age (published 2020) may not reflect the latest research methodologies in biomechanics.

Provenance

Source

dryad

Collection Method

Experiments with humans walking on a treadmill under normal and prescribed step width conditions, with foot placement required on drawn lines.

Freshness

Last updated 2020-06-24.