@inbook{fe13089b501e4120a5f6b25d7ffddc6c,
title = "Location Independent Vital Sign Monitoring and Gesture Recognition Using Wi-Fi",
abstract = "Recent years have witnessed the rapid progress of Wi-Fi based contactless sensing. Compared to traditional wearable based approaches, Wi-Fi sensing does not require the target to wear any sensors and is able to capture rich context information of human target in a non-intrusive manner. Though promising, one major issue hindering the adoption of Wi-Fi sensing is the location and orientation dependence of the performance, i.e., if the human target changes the location or orientation, the sensing performance may degrade significantly. This chapter delves into this issue, analyzes the factors affecting the sensing performance and presents solutions to addressing this issue, moving Wi-Fi sensing one step closer towards real-life deployment.",
keywords = "Fresnel Zone model, Location and orientation dependence, Multiple views, Unstable performance, Virtual multipath, Wi-Fi sensing",
author = "Daqing Zhang and Kai Niu and Jie Xiong and Fusang Zhang and Shengjie Li",
note = "Publisher Copyright: {\textcopyright} 2021, Springer Nature Switzerland AG.",
year = "2021",
month = jan,
day = "1",
doi = "10.1007/978-3-030-68590-4\_7",
language = "English",
series = "Intelligent Systems Reference Library",
publisher = "Springer Science and Business Media Deutschland GmbH",
pages = "185--202",
booktitle = "Intelligent Systems Reference Library",
}