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A Novel Privacy-Preserving Approach for Physical Distancing Measurement Using Thermal Sensor Array

Published: 29 June 2021 Publication History

Abstract

Physical distancing measurements are accepted to be critical strategies to slow the spread of COVID-19 disease. Most of the recent works to measure the physical distancing between people aims for easy-to-deploy systems such as contact tracing applications to speed up the deployment process. However, these systems, which rely heavily on the Bluetooth proximity sensor, tend to have serious performance and reliability issues. This paper proposes and explores using Thermal Sensor Array (TSA) towards physical distancing measurement. Distance estimation is achieved through using a multilayer perceptron (MLP) artificial neural network to measure the sensor-to-human distance and then to compute the physical distancing accordingly. Based on the conducted experimental work, the proposed sensor-to-human distance estimator’s median overall error is ± 0.2m for unseen testing data.

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Cited By

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  • (2024)Occluded Multi-Human Target Segmentation in Dynamic Indoor Scenes Based on Thermopile Array SensorIEEE Sensors Journal10.1109/JSEN.2024.336841224:7(9462-9471)Online publication date: 1-Apr-2024
  • (2023)Privacy-Preserving, Thermal Vision With Human in the Loop Fall Detection Alert SystemIEEE Transactions on Human-Machine Systems10.1109/THMS.2022.320302153:1(164-175)Online publication date: Feb-2023
  • (2023)Improving Indoor Occupancy Detection Accuracy of the SLEEPIR Sensor Using LSTM ModelsIEEE Sensors Journal10.1109/JSEN.2023.328756523:15(17794-17802)Online publication date: 1-Aug-2023
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cover image ACM Other conferences
PETRA '21: Proceedings of the 14th PErvasive Technologies Related to Assistive Environments Conference
June 2021
593 pages
ISBN:9781450387927
DOI:10.1145/3453892
Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 29 June 2021

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Author Tags

  1. Physical distancing
  2. adaptive system
  3. artificial neural network
  4. distance estimation
  5. human-centred approach
  6. semantic segmentation
  7. thermal sensor array

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Cited By

View all
  • (2024)Occluded Multi-Human Target Segmentation in Dynamic Indoor Scenes Based on Thermopile Array SensorIEEE Sensors Journal10.1109/JSEN.2024.336841224:7(9462-9471)Online publication date: 1-Apr-2024
  • (2023)Privacy-Preserving, Thermal Vision With Human in the Loop Fall Detection Alert SystemIEEE Transactions on Human-Machine Systems10.1109/THMS.2022.320302153:1(164-175)Online publication date: Feb-2023
  • (2023)Improving Indoor Occupancy Detection Accuracy of the SLEEPIR Sensor Using LSTM ModelsIEEE Sensors Journal10.1109/JSEN.2023.328756523:15(17794-17802)Online publication date: 1-Aug-2023
  • (2023)Modelling daily plant growth response to environmental conditions in Chinese solar greenhouse using Bayesian neural networkScientific Reports10.1038/s41598-023-30846-y13:1Online publication date: 16-Mar-2023
  • (2022)Calibration of Low-Resolution Thermal Imaging for Human Monitoring ApplicationsIEEE Sensors Letters10.1109/LSENS.2022.31559366:3(1-4)Online publication date: Mar-2022
  • (2022)Usage of IR Sensors in the HVAC Systems, Vehicle and Manufacturing Industries: A ReviewIEEE Sensors Journal10.1109/JSEN.2022.316619022:10(9164-9176)Online publication date: 15-May-2022
  • (2022)Multiple Thermal Sensor Array Fusion Toward Enabling Privacy-Preserving Human Monitoring ApplicationsIEEE Internet of Things Journal10.1109/JIOT.2022.31505669:17(16677-16688)Online publication date: 1-Sep-2022
  • (2021)A Comprehensive Analysis of Privacy Protection Techniques Developed for COVID-19 PandemicIEEE Access10.1109/ACCESS.2021.31306109(164159-164187)Online publication date: 2021

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