Mo-sleep: Unobtrusive sleep and movement monitoring via Wi-Fi signal

Abstract

Sleep monitoring system helps to diagnose various health problems. Traditional solutions for sleep monitoring are usually invasive or limited to medical facilities. Radio Frequency (RF) based methods require specialized devices or dedicated wireless sensors. Recently, Wi-Fi based methods without any wearable or dedicated devices obtain more attention, however, they all assume that all the users are in a relatively quiet environment without moving targets. In this paper, we develop a system called Mo-Sleep, which adopts off-the-shelf Wi-Fi devices to continuously collect fine-grained wireless Channel State Information (CSI) in a room. We introduce a motion detection module in our system to identify whether the CSI information has been interfered by a moving target. We then use Principal Component Analysis (PCA) to obtain accurate breath signal. Our prototypic system demonstrates that the proposed scheme can not only remove interfered CSI, but also obtain real time breath rate every five seconds.