Monitoring Social Distancing in Smart Spaces using Infrastructure-Based Sensors

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dc.contributor.author Hossein Motlagh, Naser
dc.contributor.author Toivonen, Pupu
dc.contributor.author Zaidan, Martha Arbayani
dc.contributor.author Lagerspetz, Eemil
dc.contributor.author Peltonen, Ella
dc.contributor.author Gilman, Ekaterina
dc.contributor.author Nurmi, Petteri
dc.contributor.author Tarkoma, Sasu
dc.date.accessioned 2021-11-17T06:33:01Z
dc.date.available 2021-11-17T06:33:01Z
dc.date.issued 2021-11-09
dc.identifier.citation Hossein Motlagh , N , Toivonen , P , Zaidan , M A , Lagerspetz , E , Peltonen , E , Gilman , E , Nurmi , P & Tarkoma , S 2021 , Monitoring Social Distancing in Smart Spaces using Infrastructure-Based Sensors . in IEEE 7th World Forum on Internet of Things (WF-IoT 2021) . IEEE , pp. 124-129 , IEEE World Forum on Internet of Things , New Orleans , United States , 14/06/2021 . https://doi.org/10.1109/WF-IoT51360.2021.9595897
dc.identifier.citation conference
dc.identifier.other PURE: 162252849
dc.identifier.other PURE UUID: ff269643-3624-4516-a577-e5aa544cf7e7
dc.identifier.other ORCID: /0000-0002-6348-1230/work/103359660
dc.identifier.other ORCID: /0000-0003-3875-8135/work/103359833
dc.identifier.other ORCID: /0000-0001-9923-9879/work/103359868
dc.identifier.uri http://hdl.handle.net/10138/336412
dc.description.abstract Social distancing is a critical tool for mitigating disease transmission, particularly in crowded indoor spaces. In this paper, we contribute by assessing the feasibility of re-purposing existing infrastructure of occupancy monitoring sensors and environmental sensors for the dual purpose of monitoring social distancing and supporting disease transmission risk estimation. We consider 410 continuous days of measurements from CO2 and PIR (passive infrared) motion detectors collected from a collaborative smart space, prior to the start of the pandemic in 2017-2018. We demonstrate how these sensors can be used to estimate occupancy levels, as well as analyze occupancy patterns within the space. We also consider disease transmission risk estimation based on the overall air quality within the space. Based on our analysis, we derive insights into how infrastructure-based sensors can be used to detect problematic areas in the space and offer insights into how to modify these areas to be more social distancing aware. en
dc.format.extent 6
dc.language.iso eng
dc.publisher IEEE
dc.relation.ispartof IEEE 7th World Forum on Internet of Things (WF-IoT 2021)
dc.relation.isversionof 978-1-6654-4432-3
dc.relation.isversionof 978-1-6654-4431-6
dc.rights unspecified
dc.rights.uri info:eu-repo/semantics/openAccess
dc.subject 113 Computer and information sciences
dc.title Monitoring Social Distancing in Smart Spaces using Infrastructure-Based Sensors en
dc.type Conference contribution
dc.contributor.organization Department of Computer Science
dc.contributor.organization Institute for Atmospheric and Earth System Research (INAR)
dc.contributor.organization Global Atmosphere-Earth surface feedbacks
dc.contributor.organization Helsinki Institute of Sustainability Science (HELSUS)
dc.contributor.organization Content-Centric Structures and Networking research group / Sasu Tarkoma
dc.contributor.organization Helsinki Institute for Information Technology
dc.description.reviewstatus Peer reviewed
dc.relation.doi https://doi.org/10.1109/WF-IoT51360.2021.9595897
dc.rights.accesslevel openAccess
dc.type.version acceptedVersion

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