TY - GEN
T1 - Wi-sleep
T2 - 35th IEEE Real-Time Systems Symposium, RTSS 2014
AU - Liu, Xuefeng
AU - Cao, Jiannong
AU - Tang, Shaojie
AU - Wen, Jiaqi
N1 - Publisher Copyright:
© 2014 IEEE.
PY - 2015/1/14
Y1 - 2015/1/14
N2 - 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.
AB - 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.
UR - https://www.scopus.com/pages/publications/84936936639
U2 - 10.1109/RTSS.2014.30
DO - 10.1109/RTSS.2014.30
M3 - 会议稿件
AN - SCOPUS:84936936639
T3 - Proceedings - Real-Time Systems Symposium
SP - 346
EP - 355
BT - Proceedings - IEEE 35th Real-Time Systems Symposium, RTSS 2014
PB - Institute of Electrical and Electronics Engineers Inc.
Y2 - 2 December 2014 through 5 December 2014
ER -