Paper Info
Title
Wi-Sleep: Contactless Sleep Monitoring via WiFi Signals
Abstract
Is it possible to leverage WiFi signals collected in bedrooms to monitor a person's sleep? In this paper, we show that with off-the-shelf WiFi devices, fine-grained sleep information like a person's respiration, sleeping postures and rollovers can be successfully extracted. We do this by introducing Wi-Sleep, the first sleep monitoring system based on WiFi signals. Wi-Sleep adopts off-the-shelf WiFi devices to continuously collect the fine-grained wireless channel state information (CSI) around a person. From the CSI, Wi-Sleep extracts rhythmic patterns associated with respiration and abrupt changes due to the body movement. Compared to existing sleep monitoring systems that usually require special devices attached to human body (i.e. Probes, head belt, and wrist band), Wi-Sleep is completely contact less. In addition, different from many vision-based sleep monitoring systems, Wi-Sleep is robust to low-light environments and does not raise privacy concerns. Preliminary testing results show that the Wi-Sleep can reliably track a person's respiration and sleeping postures in different conditions.
Year
DOI
Venue
2014
10.1109/RTSS.2014.30
RTSS
Keywords
Field
DocType
bedrooms,low-light environments,biomedical telemetry,wi-sleep,contactless sleep monitoring,csi,rhythmic patterns,sleep,patient monitoring,pneumodynamics,body movement,medical signal processing,fine-grained sleep information,wifi signals,fine-grained wireless channel state information,vision-based sleep monitoring systems,person respiration,rollovers,sleeping postures,catalysis,wireless sensor networks,human body,off-the-shelf wifi devices,wireless lan
Wireless,Computer science,Real-time computing,Sleep monitoring,Channel state information
Conference
ISSN
Citations 
PageRank 
1052-8725
29
1.02
References 
Authors
11
4
Name
Order
Citations
PageRank
Xuefeng Liu143847.61
Jiannong Cao25226425.12
Tang Shaojie32224157.73
Jiaqi Wen4663.97