@inproceedings{a5d274b5c0114a7b9701a2cd429ebab8,
title = "A Real-time Respiration Monitoring System Using WiFi-Based Radar Model",
abstract = "This paper proposes and experimentally validates a novel WiFi-based radar model for indoor WiFi sensing, which enables accurate measurement of the radial velocity of objects. A human respiratory monitoring system based on the proposed WiFi radar model is developed. The respiratory monitoring system also leverages principal component analysis (PCA) on the MIMO WiFi channel state information ratio (CSIR) information to extract the components related to human activities. Doppler frequency of respiratory motion is obtained from time-frequency analysis of the CSIR through short-time Fourier transform (STFT). Experimental results show that the WiFi-based radar model achieves high accuracy in velocity measurement with an average error of less than 1.5\% and can be used to real-time monitor the respiration rate.",
keywords = "CSI ratio, Doppler radar, Respiration monitoring, WiFi, Wireless sensing",
author = "Wangdong Xie and Liangyu Gan and Chunqi Shi and Justin Wu and Yuehting Lee and Jinghong Chen and Runxi Zhang",
note = "Publisher Copyright: {\textcopyright} 2022 IEEE.; 2022 IEEE International Symposium on Circuits and Systems, ISCAS 2022 ; Conference date: 27-05-2022 Through 01-06-2022",
year = "2022",
doi = "10.1109/ISCAS48785.2022.9937494",
language = "英语",
series = "Proceedings - IEEE International Symposium on Circuits and Systems",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "2082--2086",
booktitle = "IEEE International Symposium on Circuits and Systems, ISCAS 2022",
address = "美国",
}