In this paper, we present a WiSARD-based system facing the problem of Indoor Positioning (IP) by taking advantage of pervasively available infrastructures (WiFi Access Points - AP). The goal is to develop a system to be used to position users in indoor environments, such as: museums, malls, factories, offshore platforms etc. Based on the fingerprint approach, we show how the proposed weightless neural system provides very good results in terms of performance and positioning resolution. Both the approach to the problem and the system will be presented through two correlated experiments.

WIPS: the WiSARD Indoor Positioning System

DE GREGORIO M;GIORDANO M
2013

Abstract

In this paper, we present a WiSARD-based system facing the problem of Indoor Positioning (IP) by taking advantage of pervasively available infrastructures (WiFi Access Points - AP). The goal is to develop a system to be used to position users in indoor environments, such as: museums, malls, factories, offshore platforms etc. Based on the fingerprint approach, we show how the proposed weightless neural system provides very good results in terms of performance and positioning resolution. Both the approach to the problem and the system will be presented through two correlated experiments.
2013
Inglese
21st European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning
21st European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning
521
526
6
978-2-87419-081-0
Sì, ma tipo non specificato
24-26 aprile 2013
Bruges (Belgio)
Indoor positioning
weightless neural systems
6
none
DE GREGORIO, M; Cardoso, D; Gama, J; FRANÇA FELIPE, Mg; LIMA PRISCILA, Mv; Giordano, M
273
info:eu-repo/semantics/conferenceObject
04 Contributo in convegno::04.01 Contributo in Atti di convegno
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/20.500.14243/182145
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