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Breathfinding: A Wireless Network That Monitors and Locates Breathing in a Home.

Authors :
Patwari, Neal
Brewer, Lara
Tate, Quinn
Kaltiokallio, Ossi
Bocca, Maurizio
Source :
IEEE Journal of Selected Topics in Signal Processing; Feb2014, Vol. 8 Issue 1, p30-42, 13p
Publication Year :
2014

Abstract

This paper explores using RSS measurements on the links between commercial wireless devices to locate where a breathing person is located and to estimate their breathing rate, in a home, while the person is sitting, lying down, standing, or sleeping. Prior RSS-based device-free localization methods required calibration measurements to be able to locate stationary people, or did not require calibration but only located people who moved. We collect RSS measurements multiple short (3–7 minute) tests and during a longer 66 minute test, and show the location of the breathing person can be estimated, to within about 2 m average error. We describe a detector that distinguishes between sample times during which a person is moving and sample times during which a person is breathing but otherwise motionless. This detector enables removal of motion interference, i.e., RSS changes due to movements other than a person's breathing, and more accurately estimate a person's breathing rate. Being able to locate and monitor a breathing person, without calibration, is important for applications in search and rescue, health care, and security. [ABSTRACT FROM PUBLISHER]

Details

Language :
English
ISSN :
19324553
Volume :
8
Issue :
1
Database :
Complementary Index
Journal :
IEEE Journal of Selected Topics in Signal Processing
Publication Type :
Academic Journal
Accession number :
93764316
Full Text :
https://doi.org/10.1109/JSTSP.2013.2287473