# Detection of Gait Asymmetry Using Indoor Doppler Radar

## TL;DR

This paper demonstrates that indoor Doppler radar can effectively detect gait asymmetry by analyzing micro-Doppler signatures, providing a non-intrusive method for health monitoring across various gait disorders.

## Contribution

The study introduces a radar-based approach for detecting gait asymmetry, utilizing image and physical features from radar signals, effective across different pathologies.

## Key findings

- High probability detection of gait asymmetry
- Effective across multiple gait disorders
- Works for at least one motion direction

## Abstract

Doppler radar systems enable unobtrusive and privacy-preserving long-term monitoring of human motions indoors. In particular, a person's gait can provide important information about their state of health. Utilizing micro-Doppler signatures, we show that radar is capable of detecting small differences between the step motions of the two legs, which results in asymmetric gait. Image-based and physical features are extracted from the radar return signals of several individuals, including four persons with different diagnosed gait disorders. It is shown that gait asymmetry is correctly detected with high probability, irrespective of the underlying pathology, for at least one motion direction.