University of Oulu

N. H. Motlagh et al., "Monitoring Social Distancing in Smart Spaces using Infrastructure-Based Sensors," 2021 IEEE 7th World Forum on Internet of Things (WF-IoT), 2021, pp. 124-129, doi: 10.1109/WF-IoT51360.2021.9595897

Monitoring social distancing in smart spaces using infrastructure-based sensors

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Author: Motlagh, Naser Hossein1; Toivonen, Pupu1; Zaidan, Martha Arbayani2;
Organizations: 1Department of Computer Science, University of Helsinki, Finland
2Institute for Atmospheric and Earth System Research (INAR), University of Helsinki, Finland
3Center for Ubiquitous Computing, University of Oulu, Oulu, Finland
Format: article
Version: accepted version
Access: open
Online Access: PDF Full Text (PDF, 1.5 MB)
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Language: English
Published: IEEE, 2021
Publish Date: 2022-01-26


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 CO 2 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 the use of overall air quality within the space for estimating insights about potential transmission risks. Based on our analysis, we derive insights into how infrastructure-based sensors can be used to detect problematic areas in the space and offer guidelines on how to modify these areas to be more social distancing aware.

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ISBN: 978-1-6654-4431-6
ISBN Print: 978-1-6654-4432-3
Pages: 124 - 129
DOI: 10.1109/WF-IoT51360.2021.9595897
Host publication: 7th IEEE World Forum on Internet of Things, WF-IoT 2021
Conference: IEEE World Forum on Internet of Things
Type of Publication: A4 Article in conference proceedings
Field of Science: 113 Computer and information sciences
Funding: This work is supported by Nokia Center for Advanced Research (NCAR), Business Finland (6884/31/2018), Academy of Finland projects with grant numbers 324576 and 335934; and Healthy Outdoor Premises for Everyone (UIA03-240) projects.
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