Wi-Cyclops: Room-Scale WiFi Sensing System for Respiration Detection Based on Single-Antenna

IF 3.9 4区 计算机科学 Q2 COMPUTER SCIENCE, INFORMATION SYSTEMS ACM Transactions on Sensor Networks Pub Date : 2023-11-16 DOI:10.1145/3632958
Youwei Zhang, Feiyu Han, Panlong Yang, Yuanhao Feng, Yubo Yan, Ran Guan
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Abstract

Recent years have witnessed the emerging development of single-antenna wireless respiration detection that can be integrated into IoT devices with a single transceiver chain. However, existing single-antenna-based solutions are all limited by the short sensing range within 2-4 m due to noise interference, which makes them difficult to be adopted in most room-scale scenarios. To deal with this dilemma, we propose a room-scale, noise-resistance, and accurate respiration monitoring system, named Wi-Cyclops, which captures CSI changes induced by respiratory movements only via one antenna on commercial WiFi devices. To push the limits of effective sensing distance, we innovatively supply a new perspective to review the CSI samples along the sub-carrier dimension. From this dimension, we find that the interrelationship between sub-carriers with different timestamps still shows a high correlation even though the SNR decreases. Based on that, we analyze the noise characteristics along the sub-carrier dimension and correspondingly design a series of denoising schemes. Specifically, we carefully design a PCA-based denoising method to filter out ambient noises. After that, considering the low distribution densities of the AGC-induced noise, we then remove it by optimizing the DBSCAN denoising method with the K-Means-based adaptive radius search. Extensive experiments demonstrate that our system can work effectively in three typical family scenarios. Wi-Cyclops can achieve 98% accuracy even when the person is 7 m away from the transceiver pair. Compared with the start-of-art single-antenna-based approaches in real scenarios, Wi-Cyclops can improve the sensing range from 3 m to 7 m, which can meet the requirements of room-scale respiration monitoring. Additionally, to show the high compatibility with smart home devices, Wi-Cyclops is deployed on seven commercial IoT devices and still achieves a low average absolute error with 0.41 bpm.

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Wi-Cyclops:基于单天线的房间级呼吸检测WiFi传感系统
近年来见证了单天线无线呼吸检测的新兴发展,可以通过单个收发器链集成到物联网设备中。然而,现有的基于单天线的解决方案都受到噪声干扰的限制,传感距离较短,在2-4 m之间,这使得它们难以在大多数房间规模的场景中被采用。为了解决这一难题,我们提出了一种房间尺度的、抗噪声的、精确的呼吸监测系统,称为Wi-Cyclops,它只通过商用WiFi设备上的一个天线就能捕获呼吸运动引起的CSI变化。为了突破有效传感距离的限制,我们创新性地提供了一种新的视角来沿着子载波维度审查CSI样本。从这个维度来看,我们发现即使信噪比降低,具有不同时间戳的子载波之间的相互关系仍然显示出高度的相关性。在此基础上,分析了噪声沿子载波维度的特征,并设计了相应的降噪方案。具体来说,我们精心设计了一种基于pca的去噪方法来滤除环境噪声。然后,考虑到agc引起的噪声分布密度低,采用基于k - means的自适应半径搜索优化DBSCAN去噪方法去除agc引起的噪声。大量的实验表明,我们的系统可以在三种典型的家庭场景中有效地工作。即使人距离收发器对7米远,Wi-Cyclops也能达到98%的准确率。与现实场景中基于单天线的方法相比,Wi-Cyclops可以将传感距离从3米提高到7米,满足室内尺度呼吸监测的要求。此外,为了显示与智能家居设备的高度兼容性,Wi-Cyclops部署在七个商用物联网设备上,仍然实现了0.41 bpm的低平均绝对误差。
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来源期刊
ACM Transactions on Sensor Networks
ACM Transactions on Sensor Networks 工程技术-电信学
CiteScore
5.90
自引率
7.30%
发文量
131
审稿时长
6 months
期刊介绍: ACM Transactions on Sensor Networks (TOSN) is a central publication by the ACM in the interdisciplinary area of sensor networks spanning a broad discipline from signal processing, networking and protocols, embedded systems, information management, to distributed algorithms. It covers research contributions that introduce new concepts, techniques, analyses, or architectures, as well as applied contributions that report on development of new tools and systems or experiences and experiments with high-impact, innovative applications. The Transactions places special attention on contributions to systemic approaches to sensor networks as well as fundamental contributions.
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