Device-free Indoor Tracking on Bluetooth Mesh Network

In this project, we present a device-free indoor tracking system for our client, a smart lighting company, to track users and visitors who do not require to carry any devices in an office and warehouse scenario. The system constructs a mesh network using Bluetooth beacons, and we develop a real-time proximity detection algorithm which is fully embedded in beacon without the need of a central server.

This project is sponsored by Lux Smart.

Tao Gu
Tao Gu
Email: firstname dot lastname AT mq.edu.au
Phone Number: +61-2-9850-4357
Address: Room 267, 4 Research Park Drive, North Ryde, NSW, 2109, Australia

My research interests include Internet of Things, Ubiquitous Computing, Mobile Computing, Embedded AI, Wireless Sensor Networks, and Big Data Analytics.