Respiration Monitoring With RFID in Driving Environments
Respiration Monitoring With RFID in Driving Environments
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DOI：
10.1109/jsac.2020.3020606
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发表时间：
2021-02-01
影响因子：
16.4
通讯作者：
Mao, Shiwen
中科院分区：
文献类型：
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作者：
Yang, Chao;Wang, Xuyu;Mao, Shiwen
为了提高驾驶安全性，避免因疲劳驾驶而引发事故，睡意检测的目的是在驾驶员入睡前发出警报。由于呼吸频率是困倦状态的关键指标，因此嘈杂驾驶环境中的呼吸监测对于开发有效的驾驶疲劳检测系统至关重要。在本文中，我们首次提出了一种基于 RFID 的驾驶环境呼吸监测系统。该系统根据从安全带上附着的多个 RFID 标签采样的相位值来估计驾驶员的呼吸频率，同时利用标签多样性来对抗驾驶环境中的强噪声。张量补全和张量正则多进分解（CPD）均用于处理相位值，以克服跳频、随机采样、车辆振动和其他环境运动的影响。所提出的系统通过商品 RFID 设备进行分析和实现。其准确和稳健的性能通过在真实驾驶汽车中进行的大量实验得到证明。
To improve driving safety and avoid accidents caused by driving fatigue, drowsiness detection aims to alarm the driver before he/she falls asleep. Since breathing rate is a key indicator of the drowsy state, respiration monitoring in the noisy driving environment is critical for developing an effective driving fatigue detection system. In this paper, we propose, for the first time, an RFID based respiration monitoring system for driving environments. The system estimates the respiration rate of a driver based on phase values sampled from multiple RFID tags attached to the seat belt, while exploiting the tag diversity to combat the strong noise in the driving environment. Both tensor completion and tensor Canonical Polyadic Decomposition (CPD) are applied to process the phase values, to overcome the influence of frequency hopping, random sampling, vehicle vibration, and other environmental movements. The proposed system is analyzed and implemented with commodity RFID devices. Its accurate and robust performance is demonstrated with extensive experiments conducted in a real driving car.