Crowd sensing in indoor areas is becoming more and more fundamental for flow management, security and surveillance, or building usage statistics. This paper deals with a simple crowd sensing approach, which opportunistically exploits the already deployed WiFi networks, thus avoiding dedicated wiring and installations. The proposed algorithm is based on a two-step procedure that first applies a Wavelet decomposition of the signal strength data and then exploits the obtained coefficients to learn the unknown relation between crowd presence and signal changes. To this end, a customized learning-by-example (LBE) algorithm is trained for successive real-time crowd detection. The results of the experimental validation are presented to assess system potentialities and current limitations.

Opportunistic crowd sensing in WiFi-enabled indoor areas / Robol, Fabrizio; Viani, Federico; Polo, Alessandro; Giarola, Enrico; Garofalo, Paola; Zambiasi, Cristian; Massa, Andrea. - STAMPA. - (2015), pp. 274-275. (Intervento presentato al convegno Proc. 2015 IEEE AP-S tenutosi a Vancouver nel July 19-25, 2015) [10.1109/APS.2015.7304523].

Opportunistic crowd sensing in WiFi-enabled indoor areas

Robol, Fabrizio;Viani, Federico;Polo, Alessandro;Giarola, Enrico;Garofalo, Paola;Zambiasi, Cristian;Massa, Andrea
2015-01-01

Abstract

Crowd sensing in indoor areas is becoming more and more fundamental for flow management, security and surveillance, or building usage statistics. This paper deals with a simple crowd sensing approach, which opportunistically exploits the already deployed WiFi networks, thus avoiding dedicated wiring and installations. The proposed algorithm is based on a two-step procedure that first applies a Wavelet decomposition of the signal strength data and then exploits the obtained coefficients to learn the unknown relation between crowd presence and signal changes. To this end, a customized learning-by-example (LBE) algorithm is trained for successive real-time crowd detection. The results of the experimental validation are presented to assess system potentialities and current limitations.
2015
2015 IEEE Antennas and Propagation Society International Symposium Proceedings
Piscataway, NJ
IEEE
978-1-4799-7815-1
Robol, Fabrizio; Viani, Federico; Polo, Alessandro; Giarola, Enrico; Garofalo, Paola; Zambiasi, Cristian; Massa, Andrea
Opportunistic crowd sensing in WiFi-enabled indoor areas / Robol, Fabrizio; Viani, Federico; Polo, Alessandro; Giarola, Enrico; Garofalo, Paola; Zambiasi, Cristian; Massa, Andrea. - STAMPA. - (2015), pp. 274-275. (Intervento presentato al convegno Proc. 2015 IEEE AP-S tenutosi a Vancouver nel July 19-25, 2015) [10.1109/APS.2015.7304523].
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11572/120095
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