Fusing Wireless Network Data to Analyse Indoor Social Distancing

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

Fusing Wireless Network Data to Analyse Indoor Social Distancing

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

Urban Development & Mobility

Research output: Contribution to journal › Article

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 language	English
Pages (from-to)	23-24
Journal	ERCIM News
Issue number	124
Publication status	Published - Jan 2021

Keywords

COVID-19
Social Distancing
Wireless Network
Luxembourg

Access to Document

https://ercim-news.ercim.eu/images/stories/EN124/EN124-web.pdfLicence: CC BY
https://ercim-news.ercim.eu/en124Licence: CC BY

Cite this

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title = "Fusing Wireless Network Data to Analyse Indoor Social Distancing",

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.",

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