Assessing Walking Stability Based on Whole-Body Movement Derived from a Depth-Sensing Camera.

Area of Science:

• Biomechanics
• Human Movement Analysis
• Gait Science

Background:

• Walking stability is a key indicator of gait ability.
• Understanding sex-based differences in locomotion is crucial for clinical assessment and training.

Purpose of the Study:

• To assess walking stability by analyzing three-dimensional (3D) kinematic data using principal component analysis (PCA).
• To investigate the influence of sex on specific principal movements (PMs) derived from gait data.
• To examine sex differences in movement composition (rVAR), variability (LyE), and neuromuscular control (N).

Main Methods:

• Collected 3D whole-body kinematic data from 104 healthy young adults using a depth-sensing camera.
• Applied PCA to decompose kinematic data into principal movements (PMs).
• Calculated relative explained variance (rVAR), largest Lyapunov exponent (LyE), and number of zero-crossings (N) for each PM to assess movement characteristics.

Main Results:

• Sex differences were observed in specific PMs.
• Females exhibited greater LyE and N in PM1 (swing-phase movement) compared to males.
• Females showed smaller rVAR but greater N in PM3 (mid-stance movement) than males.

Conclusions:

• Inherent sex differences exist in walking stability.
• These differences manifest in the composition, variability, and neuromuscular control of specific gait phases.
• Consideration of sex-specific gait patterns is recommended for assessing and training locomotion.