发表机构
Ghent University; imec; KU Leuven; Flanders Make; Televic Healthcare（根特大学; imec; 鲁汶大学; 佛兰德斯制造; 泰莱维克医疗）
机构由 AI 辅助整理，请以论文原文为准。AI 中文总结
本文对比天花板安装的FMCW、IR-UWB与Wi-Fi雷达的卧室人体活动及睡眠监测性能，发现IR-UWB活动识别精度最高、FMCW布局泛化性最优，三者睡眠监测均超92%，为医疗RF感知系统设计提供指南。
AI 中文摘要
尽管基于射频（RF）的非接触式医疗保健监测重要性日益提升，但不同射频技术（如调频连续波（FMCW）雷达、脉冲无线电超宽带（IR-UWB）和Wi-Fi感知）在相同部署条件下的对比研究却很少，现有研究通常在硬件、数据集和评估方法上存在差异。此外，天花板安装的雷达虽在医疗环境中具备实际部署和成本优势，但其性能仍未得到充分探索。因此，本文采用20名参与者在6种房间布局下的同步记录，对天花板安装的FMCW、IR-UWB和Wi-Fi感知技术进行受控对比与分析。所有技术均使用相同的卷积神经网络（CNN），在细粒度10类人体活动识别（HAR）任务和粗粒度4类睡眠监测任务上进行评估。IR-UWB在跨主体活动识别中取得最高性能（宏F1值89.0%），而FMCW对未知房间布局的泛化能力最佳（宏F1值83.8%）。在睡眠监测方面，所有技术在未知环境下的宏F1值均超过92%。研究结果揭示了识别性能与环境鲁棒性之间存在的基本权衡，这可通过距离分辨率、天线分集、多普勒分辨率和空间信息保留的差异来解释。这些发现为面向医疗保健的RF感知系统设计提供了实用指南。
英文摘要
Despite their growing importance for contact-free radio frequency (RF) based healthcare monitoring, different radio technologies such as frequency-modulated continuous wave (FMCW) radar, impulse radio ultra-wideband (IR-UWB), and Wi-Fi sensing are rarely compared under identical deployment conditions, as existing studies typically differ in hardware, datasets, and evaluation methodologies. In addition, the performance of ceiling-mounted radars, despite their practical deployment and cost advantages in healthcare environments, remain underexplored. Therefore, this paper presents a controlled comparison and analysis of ceiling-mounted FMCW, IR-UWB, and Wi-Fi sensing using synchronized recordings from 20 participants across six room layouts. All technologies are evaluated with the same convolutional neural network (CNN) on both a fine-grained 10-class human activity recognition (HAR) task and a coarse 4-class sleep monitoring task. IR-UWB achieves the highest cross-subject activity recognition performance (89.0% macro F1), while FMCW generalizes best to unseen room layouts (83.8% macro F1). For sleep monitoring, all technologies exceed 92% macro F1 in unseen environments. The results reveal a fundamental trade-off between recognition performance and environmental robustness, which can be explained through differences in range resolution, antenna diversity, Doppler resolution, and spatial information retention. These findings provide practical guidelines for the design of healthcare-oriented RF sensing systems.
CommentsThis paper has been submitted to IEEE Access Journal and is currently undergoing review
