Remote Gait Analysis Using Ultra-Wideband Radar Technology Based on Joint Range-Doppler-Time Representation.

Area of Science:

• Biomedical Engineering
• Signal Processing
• Human Motion Analysis

Background:

• Radar technology is increasingly used for contactless human behavior monitoring.
• Ultra-wideband (UWB) radars offer unique time-of-flight measurement capabilities for detailed human movement analysis.
• Existing gait analysis methods can be cumbersome and expensive, limiting widespread application.

Purpose of the Study:

• To investigate the deployability of UWB radars for accurately capturing gait patterns in healthy individuals.
• To assess the feasibility of UWB radar technology as a tool for gait analysis.

Main Methods:

• A novel algorithm was developed to extract ten clinical spatiotemporal gait features using Doppler information from three UWB radar sensors.
• Gait events were detected from lower-extremity movements using range-Doppler-time representations.
• Gait parameters were validated against a gold-standard optical motion tracking system with 12 healthy volunteers.

Main Results:

• Nine gait parameters were consistently estimated with 90-98% accuracy.
• The radar system captured 94.5% of gait variability and 90.8% of inter-limb symmetry.
• Strong correlations and minimal discrepancies were found between radar-based and ground-truth gait parameters.

Conclusions:

• Radar sensing provides accurate biomarkers for gait analysis, comparable to gold-standard methods.
• UWB radar technology can supplement clinical gait analysis with high-quality, unobtrusive assessment.
• This technology enables a shift towards affordable, in-home gait monitoring for research and healthcare.