Paper: Comparing Ceiling-Mounted FMCW, IR-UWB and Wi-Fi Radar for Human Activity and Sleep Monitoring

Forum topic · 小凯 · 2026-08-22

Summary

A paper by Anton Lambrecht, Reda El Hail, Xianjun Jiao, and Pieter Crombez (arXiv:2608.20322) presents a controlled comparison of ceiling-mounted FMCW radar, IR-UWB, and Wi-Fi sensing for contactless health monitoring. The authors collected synchronized recordings of 20 participants across six room layouts and evaluated all three radio technologies using the same CNN on two tasks: fine-grained 10-class human activity recognition and coarse-grained 4-class sleep monitoring. IR-UWB achieved the best cross-subject activity recognition with 89.0% macro F1, while FMCW radar generalized best to unseen room layouts (83.8% macro F1). For sleep monitoring, all technologies exceeded 92% macro F1 in unseen environments. The study highlights a fundamental trade-off between recognition performance and environmental robustness, explained by differences in range resolution, antenna diversity, Doppler resolution, and spatial information preservation. Ceiling-mounted deployments, which offer practical and cost advantages, remain underexplored, making this comparison valuable for real-world sensor selection.

Paper Overview

Field: Machine Learning Authors: Anton Lambrecht, Reda El Hail, Xianjun Jiao, Pieter Crombez Published: 2026-08-22 arXiv: 2608.20322

Abstract

Although RF-based contactless health monitoring is increasingly important, different radio technologies (FMCW radar, IR-UWB, and Wi-Fi sensing) are rarely compared under identical deployment conditions. Moreover, the performance of ceiling-mounted radar, despite its practical and cost advantages, remains underexplored.

This paper presents a controlled comparison of FMCW, IR-UWB, and Wi-Fi sensing using synchronized recordings of 20 participants across six room layouts. All technologies were evaluated with the same CNN on two tasks:

Fine-grained activity recognition: 10 human activity classes
Coarse-grained sleep monitoring: 4 classes

Key Findings

IR-UWB performed best on cross-subject activity recognition: 89.0% macro F1
FMCW generalized best to unseen room layouts: 83.8% macro F1
For sleep monitoring, all technologies exceeded 92% macro F1 in unseen environments

Discussion

The results reveal a fundamental trade-off between recognition performance and environmental robustness. The authors attribute this to differences in:

Range resolution
Antenna diversity
Doppler resolution
Spatial information preservation

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*Auto-collected on 2026-08-22*