# Millimeter-Wave Body-Centric Radar Sensing for Continuous Monitoring of Human Gait Dynamics

## TL;DR

This paper compares two radar setups for monitoring human gait and finds that a shoe-mounted radar improves accuracy, especially for irregular walking patterns.

## Contribution

The study introduces a low-cost, body-centric radar setup that outperforms fixed radar in gait monitoring.

## Key findings

- Shoe-mounted radar reduced step-count error compared to fixed radar, especially for irregular gait patterns.
- The largest improvement was observed in simulated festination, with error reduced from 37.1% to 9.6%.
- Results support using low-cost SoC radar for wearable, privacy-preserving gait monitoring.

## Abstract

Gait is a sensitive marker of mobility decline and fall risk, motivating unobtrusive sensing methods that can extract spatiotemporal parameters outside specialized gait laboratories. This paper presents a physics-based comparison of two millimeter-wave frequency-modulated continuous-wave (FMCW) radar deployment paradigms using a low-cost, system-on-chip (SoC) 60 GHz Infineon BGT60TR13C radar sensor: (i) a fixed (tripod-mounted) corridor observer and (ii) a shoe-mounted body-centric configuration attached to the medial side of the left shoe. Four healthy adult author-participants performed repeated 30 s corridor trials under five gait styles (regular, slow, fast, simulated festination, and simulated freezing-of-gait), including brief pauses during turns; an empty-corridor recording was acquired to characterize static clutter. Step events were detected using peak-picking on foot-related velocity envelopes with adaptive thresholds, and step count, cadence, step time, and step-time variability were derived. Performance of the fixed and shoe-mounted configurations was quantitatively compared to video ground truth using mean absolute percentage error (MAPE) for step count estimation. Across all gait styles, the shoe-mounted FMCW radar consistently reduced step-count error relative to the fixed corridor-mounted configuration, with the largest gains under irregular patterns (e.g., festination: 37.1% fixed vs. 9.6% shoe-mounted). These findings highlight the advantages of body-centric millimeter-wave radar sensing and support low-cost SoC radar as a pathway toward wearable, privacy-preserving gait monitoring in real-world environments.