@inproceedings{c5b1b833ac704b7db5a7496572fc02fc,
title = "DEMO:A Fresnel diffraction model based human respiration detection system using COTS Wi-Fi devices",
abstract = "Recent work has revealed the sensing theory of human respiration outside the First Fresnel Zone (FFZ) using commodity Wi-Fi devices. However, there is still no theoretical model to guide human respiration detection when the subject locates in the FFZ. In our work [10], we propose a diffraction-based sensing model to investigate how to effectively sense human respiration in FFZ. We present this demo system to show human respiration sensing performance varies based on different human locations and postures. By deploying the respiration detection system using COTS Wi-Fi devices, we can observe that the respiration sensing results match the theoretical model well.",
keywords = "Channel State Information(CSI), Fresnel diffraction model, Respiration sensing, Wi-Fi",
author = "Kai Niu and Zhaoxin Chang and Daqing Zhang and Fusang Zhang",
note = "Publisher Copyright: {\textcopyright} Copyright held by the owner/author(s).; 2018 Joint ACM International Conference on Pervasive and Ubiquitous Computing, UbiComp 2018 and 2018 ACM International Symposium on Wearable Computers, ISWC 2018 ; Conference date: 08-10-2018 Through 12-10-2018",
year = "2018",
month = oct,
day = "8",
doi = "10.1145/3267305.3267561",
language = "英语",
series = "UbiComp/ISWC 2018 - Adjunct Proceedings of the 2018 ACM International Joint Conference on Pervasive and Ubiquitous Computing and Proceedings of the 2018 ACM International Symposium on Wearable Computers",
publisher = "Association for Computing Machinery, Inc",
pages = "416--419",
booktitle = "UbiComp/ISWC 2018 - Adjunct Proceedings of the 2018 ACM International Joint Conference on Pervasive and Ubiquitous Computing and Proceedings of the 2018 ACM International Symposium on Wearable Computers",
}