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Reports (Research Report) Year : 2020

An efficient algorithm to estimate Covid-19 infectiousness risk from BLE-RSSI measurements

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Abstract

This report describes an algorithm to predict the Covid-19 infectiousness risk from physical contacts through BLE-RSSI measurements. In order to derive a robust risk estimator, the proposed algorithm relies on known physical wireless propagation effects and on technical properties of current BLE interfaces. The proposed algorithm has been tested on the data acquired by the German teams from the Fraunhofer institute in the PEPP-PT European project. We thank them for sharing their data, for their helpful comments and answers. Our algorithm is currently under evaluation on the French data acquired from May 18 to 20, 2020.
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Dates and versions

hal-02641630 , version 1 (28-05-2020)

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  • HAL Id : hal-02641630 , version 1

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Jean-Marie S Gorce, Malcolm Egan, Rémi Gribonval. An efficient algorithm to estimate Covid-19 infectiousness risk from BLE-RSSI measurements. [Research Report] RR-9345, Inria Grenoble Rhône-Alpes. 2020. ⟨hal-02641630⟩
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