Abstract | ||
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This paper proposes a Bluetooth-based indoor proximity detection method for nursing context awareness. We exploit proximity between Bluetooth devices attached to people and objects for estimating 1) room-level proximity of people and objects, and 2) mutual proximity between moving people and objects. We show that the proximity information exchanged between several devices can be updated at a rate of more than 1 Hz by effectively choosing the timing parameters of Bluetooth inquiry mechanism. Empirical results of evaluating the Receiver Signal Strength Indicator (RSSI) at various distances between devices are also shown. |
Year | DOI | Venue |
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2005 | 10.1109/ISWC.2005.13 | ISWC |
Keywords | Field | DocType |
Bluetooth,mobile computing,patient monitoring,sensors,Bluetooth-based indoor proximity detection method,RSSI,nursing context awareness,receiver signal strength indicator | Mobile computing,Proximity detection,Nursing,Computer science,Remote patient monitoring,Context awareness,Exploit,Signal strength,Proximity sensing,Bluetooth,Embedded system | Conference |
ISBN | Citations | PageRank |
0-7695-2419-2 | 10 | 1.28 |
References | Authors | |
2 | 4 |
Name | Order | Citations | PageRank |
---|---|---|---|
Futoshi Naya | 1 | 144 | 19.12 |
Haruo Noma | 2 | 341 | 63.10 |
Ren Ohmura | 3 | 30 | 9.43 |
Kiyoshi Kogure | 4 | 399 | 58.57 |