Cellular Data Analytics for Detection and Discrimination of Body Movements

Cellular Data Analytics for Detection and Discrimination of Body Movements

In this paper, we show the possibility of using the smartphone built-in cellular radio modem to track sudden changes in the environment around it, thus turning the cellphone into a radio-frequency (RF) virtual sensor. In particular, we demonstrate how to isolate anomalous RF patterns by applying tim...

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Bibliographic Details
Main Authors: Stefano Savazzi, Sanaz Kianoush, Vittorio Rampa, Umberto Spagnolini
Format: Article
Language:English
Published: IEEE 2018-01-01
Series:IEEE Access
Subjects:
Motion detection
wireless wide area networking
cellular signal quality
anomaly detection
bayesian classification
segmentation
Online Access:https://ieeexplore.ieee.org/document/8462756/

Internet

https://ieeexplore.ieee.org/document/8462756/

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