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Is someone moving around my cell-phone? Tracing cellular signals for passive motion detection

Contributo in Atti di convegno
Data di Pubblicazione:
2017
Abstract:
This paper explores the possibility of turning the cellular radio modem into a passive body motion sensor. Sensing is herein based on the real-time analysis of cellular radio propagation. Unlike WiFi and Bluetooth, all cellular radios are never disconnected as, even in idle mode state, they perform continuous and autonomous measurements of the propagation conditions, namely the cellular signal quality (CSQ). CSQ is constantly updated while searching for any opportunity to reselect a new camped cell and being responsive to paging operations. Body movements in the surrounding of a cellular device are responsible of small but characteristic variations of the CSQ dynamics that might also trigger new reselections. Preliminary experiments are presented based on commercial off-the-shelf (COTS) smart-phone devices. The use of data analytics tools applied to cellular signals is a new topic that has the potential of opening up new research opportunities.
Tipologia CRIS:
04.01 Contributo in Atti di convegno
Keywords:
cellular signal quality; machine learning; anomaly detection; occupancy detection
Elenco autori:
Kianoush, Sanaz; Savazzi, Stefano; Rampa, Vittorio
Autori di Ateneo:
KIANOUSH SANAZ
SAVAZZI STEFANO
Link alla scheda completa:
https://iris.cnr.it/handle/20.500.14243/332518
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http://www.scopus.com/record/display.url?eid=2-s2.0-85019989449&origin=inward
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