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 …

arxiv

More from arxiv.org / cs.LG updates on arXiv.org

Data Engineer, Buy with Prime

@ Amazon.com | Santa Monica, California, USA

Data Architect – Public Sector Health Data Architect, WWPS

@ Amazon.com | US, VA, Virtual Location - Virginia

[Job 8224] Data Engineer - Developer Senior

@ CI&T | Brazil

Software Engineer, Machine Learning, Planner/Behavior Prediction

@ Nuro, Inc. | Mountain View, California (HQ)

Lead Data Scientist

@ Inspectorio | Ho Chi Minh City, Ho Chi Minh City, Vietnam - Remote

Data Engineer

@ Craftable | Portugal - Remote