Research Article
Adaptive Distance Sensing in Contact Tracing Applications Through Indoor/Outdoor Detection
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@INPROCEEDINGS{10.1007/978-3-031-06368-8_11, author={Zaccaria Essaid and Dario Lorenzoni and Niccol\'{o} Scatena and Riccardo Xefraj and Alessio Vecchio}, title={Adaptive Distance Sensing in Contact Tracing Applications Through Indoor/Outdoor Detection}, proceedings={Wireless Mobile Communication and Healthcare. 10th EAI International Conference, MobiHealth 2021, Virtual Event, November 13--14, 2021, Proceedings}, proceedings_a={MOBIHEALTH}, year={2022}, month={6}, keywords={Smartphone sensors Distance estimation Social distancing}, doi={10.1007/978-3-031-06368-8_11} }- Zaccaria Essaid
Dario Lorenzoni
Niccolò Scatena
Riccardo Xefraj
Alessio Vecchio
Year: 2022
Adaptive Distance Sensing in Contact Tracing Applications Through Indoor/Outdoor Detection
MOBIHEALTH
Springer
DOI: 10.1007/978-3-031-06368-8_11
Abstract
Physical distancing is one of the most effective measures for limiting the spreading of the COVID-19 disease. Smartphones, being carried by their owners most of the time, are particularly appealing for increasing the awareness of people about their closeness to other individuals. Sensing the distance using communications technologies like Bluetooth is known to be affected by the surrounding environment. In this paper, we study the benefits that can be achieved by automatically recognizing if the user is indoor or outdoor and then defining a customized threshold for improving the accuracy of social distancing applications.
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