Ultra-Wideband Radar-Based Gait Analysis System for Non-Contact Spatiotemporal Gait Monitoring

This is the authors' abstract. We don't add key points for this paper.

Gait, the way people move, provides insights into assessing activity levels, identifying neuromuscular disorders, and predicting falls. Although wearable sensors and camera-based systems are employed to measure gait, they face challenges such as calibration issues, motion artefacts, and environmental constraints. This research presents a novel ultra-wideband (UWB) radar system to capture multiple views of the gait and an algorithm to process the radar signals for generating Detection Intensity Level (DIL) maps, which represent motion in three-dimensional space. These DIL maps are processed to estimate walking speed with 94% accuracy, cadence with 92% accuracy, and step length with accuracy of 92%. Therefore, the proposed system demonstrates the potential for long-term remote gait monitoring in real world environments.