Among techniques designated for indoor localization, wireless fingerprinting is the most emerging because of the widespread deployment of wireless networks. Moreover, position-ing methods based on received signal strength indicator fingerprint are attractive for their accu-racy and independence from the radio propagation model. This paper describes an implementa-tion of Bluetooth Low Energy positioning method based on fingerprint technique, according to Wi-Fi localization techniques. Adopting the received signal strength indicator and an accurate model, a localization system with a good accuracy is obtained. The method feature of not limiting the freedom and privacy of users, makes it advisable for elderly behavior monitoring.

Localization and monitoring system based on ble fingerprint method / Longo, Annalisa; Rizzi, Maria; Amendolare, Davide; Stanisci, Sante; Russo, Ruggero; Cice, Gianpaolo; D'Aloia, Matteo. - ELETTRONICO. - 1982:(2017), pp. 25-32. (Intervento presentato al convegno 2017 Workshop on Artificial Intelligence with Application in Health, WAIAH 2017 tenutosi a Bari, Italy nel November 14, 2017).

Localization and monitoring system based on ble fingerprint method

Rizzi, Maria;
2017-01-01

Abstract

Among techniques designated for indoor localization, wireless fingerprinting is the most emerging because of the widespread deployment of wireless networks. Moreover, position-ing methods based on received signal strength indicator fingerprint are attractive for their accu-racy and independence from the radio propagation model. This paper describes an implementa-tion of Bluetooth Low Energy positioning method based on fingerprint technique, according to Wi-Fi localization techniques. Adopting the received signal strength indicator and an accurate model, a localization system with a good accuracy is obtained. The method feature of not limiting the freedom and privacy of users, makes it advisable for elderly behavior monitoring.
2017
2017 Workshop on Artificial Intelligence with Application in Health, WAIAH 2017
Localization and monitoring system based on ble fingerprint method / Longo, Annalisa; Rizzi, Maria; Amendolare, Davide; Stanisci, Sante; Russo, Ruggero; Cice, Gianpaolo; D'Aloia, Matteo. - ELETTRONICO. - 1982:(2017), pp. 25-32. (Intervento presentato al convegno 2017 Workshop on Artificial Intelligence with Application in Health, WAIAH 2017 tenutosi a Bari, Italy nel November 14, 2017).
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11589/123058
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