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

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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.

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Arun, A., Gupta, A., Bhatka, S., Komatineni, S., & Bharadia, D. (2020). BluBLE, space-time social distancing to monitor the spread of COVID-19: Poster abstract. In SenSys 2020 - Proceedings of the 2020 18th ACM Conference on Embedded Networked Sensor Systems (pp. 750–751). Association for Computing Machinery, Inc. https://doi.org/10.1145/3384419.3430601

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