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Using Machine Learning to Perform Proximity Detection - Classifying Bluetooth Beacon RSSI V alues

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Karen Song^*

This version is not peer-reviewed

Submitted:

20 September 2020

Posted:

22 September 2020

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Abstract

This project focuses on using machine learning classification algorithms to determine whether two people are 6 feet apart or not. Two Raspberry Pis were used simulate smart phones. RSSI values of the Bluetooth beacons transmitted between the Raspberry Pis were collected and recorded to train the classifier. The Gaussian Support Vector Machine Classifer yielded the highest testing accuracy of 79.670 and the Decision Tree Classifier yielded the highest AUC of 0.80.

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Subject: Computer Science and Mathematics - Algebra and Number Theory

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