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• W2016095118 abstract "This paper explores using RSS measurements on many links in a wireless network to estimate the breathing rate of a person, and the location where the breathing is occurring, in a home, while the person is sitting, laying down, standing, or sleeping. The main challenge in breathing rate estimation is that motion interference, i.e., movements other than a person's breathing, generally cause larger changes in RSS than inhalation and exhalation. We develop a method to estimate breathing rate despite motion interference, and demonstrate its performance during multiple short (3-7 minute) tests and during a longer 66 minute test. Further, for the same experiments, we show the location of the breathing person can be estimated, to within about 2 m average error in a 56 square meter apartment. Being able to locate a breathing person who is not otherwise moving, without calibration, is important for applications in search and rescue, health care, and security." @default.
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• W2016095118 date "2014-02-01" @default.
• W2016095118 modified "2023-10-14" @default.
• W2016095118 title "Breathfinding: A Wireless Network That Monitors and Locates Breathing in a Home" @default.
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• W2016095118 doi "https://doi.org/10.1109/jstsp.2013.2287473" @default.
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