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A Perspective on Passive Human Sensing with Bluetooth.

Giancarlo Iannizzotto¹, Miryam Milici¹, Andrea Nucita¹

¹Department of Cognitive Sciences, Psychology, Education and Cultural Studies (COSPECS), University of Messina, 98122 Messina, Italy.

Sensors (Basel, Switzerland)

|May 20, 2022

Summary

Bluetooth

Keywords:

Bluetooth wireless passive human sensing wireless sensor networks

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Area of Science:

Wireless Communication
Signal Processing
Artificial Intelligence

Background:

Passive human sensing utilizes radio signals from common wireless technologies.
Bluetooth technology, despite its prevalence, is underutilized for sensing.
Advancements in Bluetooth direction finding and AI enable new sensing applications.

Purpose of the Study:

Analyze data preprocessing and classification techniques for Bluetooth-based passive human sensing.
Compare accuracy results of existing literature.
Identify factors influencing technique accuracy and suggest future research directions.

Main Methods:

Literature review of Bluetooth-based passive human sensing techniques.
Comparative analysis of reported accuracy metrics.
Identification of influencing factors and operating conditions.

Main Results:

Bluetooth Low Energy (BLE) offers advantages like low power and wide diffusion for sensing.
AI techniques applied to Bluetooth signals show promise for passive human sensing.
Accuracy varies significantly based on preprocessing, classification, and operating conditions.

Conclusions:

Bluetooth, enhanced by direction finding and AI, presents a viable platform for passive human sensing.
Further research is needed to optimize techniques and understand performance factors for reliable Bluetooth sensing.