Fusing Wireless Network Data to Analyse Indoor Social Distancing

Sébastien Faye, Tai-Yu Ma, Pascal Lhoas, Djamel Khadraoui

Research output: Contribution to journalArticle

Abstract

The COVID-19 pandemic has given rise to many digital tools to help monitor and interrupt infection chains. Among them, contact tracing apps are a reliable means of preventing the virus from spreading further, but they suffer from a low adoption rate. This article introduces complementary approaches based on data fusion from wireless networks such as Bluetooth or Wi-Fi, which will be tested in Luxembourg in 2021 in the mobility sector and have the potential to facilitate the monitoring of social interactions in indoor environments.
Original languageEnglish
Pages (from-to)23-24
JournalERCIM News
Issue number124
Publication statusPublished - Jan 2021

Keywords

  • COVID-19
  • Social Distancing
  • Wireless Network
  • Luxembourg

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