Dataset of Treadmill Walking Gait under Simulated Leg Length Discrepancy via Shoe/No-Shoe Conditions

Dataset

Description

Walking kinematics data dataset contains participant characteristics including Height without shoes (cm), Length right leg (cm), Length left leg (cm), Shoe size (EU), Shoe height (cm), Weight (kg), Condition, Sex, and Age (years); treadmill settings such as Velocity (km/h) and Slope (%); as well as gait parameters comprising Nr., Step length (cm), Stance phase (s), Swing phase (s), Single support (s), Doubble support (s), Step time (s), Cycle time (s), Stride length (cm), Speed (m/s), Cadence (steps/min), and Contact time (s). – step length, cadence, contact phase, flight phase, etc.
Date made available28 Aug 2025
PublisherRiga Stradins University
Date of data production1 Mar 2024 - 1 May 2024
Geographical coverageLatvia

Field of Science

  • 3.3 Health sciences

Keywords

  • walking
  • walking biomechanics
  • walking kinematics
  • motor control
  • goal equivalent manifold

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