Wi-sleep: Contactless sleep monitoring via WiFi signals

Xuefeng Liu, Jiannong Cao, Shaojie Tang, Jiaqi Wen

Research output: Journal article publicationConference articleAcademic researchpeer-review

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.
Original languageEnglish
Article number7010501
Pages (from-to)346-355
Number of pages10
JournalProceedings - Real-Time Systems Symposium
Volume2015-January
Issue numberJanuary
DOIs
Publication statusPublished - 1 Jan 2015
Event35th IEEE Real-Time Systems Symposium, RTSS 2014 - Rome, Italy
Duration: 2 Dec 20145 Dec 2014

ASJC Scopus subject areas

  • Software
  • Hardware and Architecture
  • Computer Networks and Communications

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