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BluBLE, space-time social distancing to monitor the spread of COVID-19: poster abstract

Published:16 November 2020Publication History

ABSTRACT

Social distancing has been the key factor which has helped control the COVID-19 pandemic spread. We present BluBLE, which utilizes Bluetooth Low Energy (BLE) based mobile sensing to help monitor these social distancing protocols. Specifically, we formulate the problem in two parts - spatial and temporal social distancing. The spatial distancing formulation aims to enforce the 6 feet distance recommended by various public health organization around the world. The temporal distancing formulation aims to inform and prevent users from entering high-occupancy regions (hotspots) in buildings. BluBLE achieved more than 80 % classification accuracy in both the tasks, that is, predicting if a user is within '6' feet of another user as well as characterizing the user's location within a particular hotspot.

References

  1. BluBLE. [n.d.]. Crowdsourced data collection platform. https://wcsng.ucsd.edu/bluble/.Google ScholarGoogle Scholar
  2. Centers for Disease Control and Prevention. [n.d.]. CDC Guidelines. https://www.cdc.gov/coronavirus/2019-ncov/prevent-getting-sick/social-distancing.html.Google ScholarGoogle Scholar
  3. Joel Hellewell et al. 2020. Feasibility of controlling COVID-19 outbreaks by isolation of cases and contacts. The Lancet Global Health (2020).Google ScholarGoogle Scholar
  4. Tile. [n.d.]. Tile Bluetooth Becons. https://www.thetileapp.com/en-us/.Google ScholarGoogle Scholar

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  1. BluBLE, space-time social distancing to monitor the spread of COVID-19: poster abstract

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        • Published in

          cover image ACM Conferences
          SenSys '20: Proceedings of the 18th Conference on Embedded Networked Sensor Systems
          November 2020
          852 pages
          ISBN:9781450375900
          DOI:10.1145/3384419

          Copyright © 2020 Owner/Author

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          Association for Computing Machinery

          New York, NY, United States

          Publication History

          • Published: 16 November 2020

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          Acceptance Rates

          Overall Acceptance Rate174of867submissions,20%

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