Abstract | ||
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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. |
Year | DOI | Venue |
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2013 | 10.1109/JSTSP.2013.2287473 | J. Sel. Topics Signal Processing |
Keywords | DocType | Volume |
radio direction-finding,radio networks,radiotelemetry,RSS measurement multiple-short test,RSS-based device-free localization method,breathfinding,breathing person location,breathing person monitoring,breathing rate estimation,calibration measurement,commercial wireless devices,health care,home,motion interference removal,search and rescue application,security application,stationary people location,time 3 min to 7 min,wireless network,Wireless networks,radiowave propagation | Journal | 8 |
Issue | ISSN | Citations |
1 | 1932-4553 | 35 |
PageRank | References | Authors |
2.39 | 17 | 5 |
Name | Order | Citations | PageRank |
---|---|---|---|
Neal Patwari | 1 | 3805 | 241.58 |
Lara Brewer | 2 | 35 | 2.39 |
Quinn Tate | 3 | 35 | 2.39 |
Ossi Kaltiokallio | 4 | 221 | 14.41 |
Maurizio Bocca | 5 | 274 | 16.62 |