Web: http://arxiv.org/abs/2201.10401

Jan. 26, 2022, 2:11 a.m. | Eric Lanfer, Thomas Hänel, Roland van Rijswijk-Deij, Nils Aschenbruck

cs.LG updates on arXiv.org arxiv.org

Due to the COVID 19 pandemic, smartphone-based proximity tracing systems
became of utmost interest. Many of these systems use Bluetooth Low Energy (BLE)
signals to estimate the distance between two persons. The quality of this
method depends on many factors and, therefore, does not always deliver accurate
results. In this paper, we present a multi-channel approach to improve
proximity estimation, and a novel, publicly available dataset that contains
matched IEEE 802.11 (2.4 GHz and 5 GHz) and BLE signal strength …


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