@inproceedings{4d2bebf606e2482c9a1355c85e2f2f8a,
title = "Demo: A CSI-ratio model based house-level respiration monitoring system using COTS WiFi devices",
abstract = "The past few years have witnessed the great potential of exploiting channel state information (CSI) retrieved from COTS WiFi devices for respiration monitoring. However, existing approaches only work when the target is close to the WiFi transceivers and the performance degrades significantly when the target is far away. This sensing range constraint greatly limits the application of the proposed approaches in real life. Different from the existing approaches that apply the raw CSI readings of individual antenna for sensing, we employ the ratio of CSI readings from two antennas, whose noise is mostly canceled out by the division operation to significantly increase the sensing range.1 In this demo, we will demonstrate FarSense – a CSI-ratio model based house-level real-time respiration monitoring system using COTS WiFi devices.",
keywords = "CSI-ratio Model, Channel State Information (CSI), Respiration Monitoring, WiFi",
author = "Youwei Zeng and Enze Yi and Dan Wu and Ruiyang Gao and Daqing Zhang",
note = "Publisher Copyright: {\textcopyright} 2019 Association for Computing Machinery.; 2019 ACM International Joint Conference on Pervasive and Ubiquitous Computing and 2019 ACM International Symposium on Wearable Computers, UbiComp/ISWC 2019 ; Conference date: 09-09-2019 Through 13-09-2019",
year = "2019",
month = sep,
day = "9",
doi = "10.1145/3341162.3343830",
language = "English",
series = "UbiComp/ISWC 2019- - Adjunct Proceedings of the 2019 ACM International Joint Conference on Pervasive and Ubiquitous Computing and Proceedings of the 2019 ACM International Symposium on Wearable Computers",
publisher = "Association for Computing Machinery, Inc",
pages = "354--357",
booktitle = "UbiComp/ISWC 2019- - Adjunct Proceedings of the 2019 ACM International Joint Conference on Pervasive and Ubiquitous Computing and Proceedings of the 2019 ACM International Symposium on Wearable Computers",
}