Detecting Smoking Behaviour using a Smart Neckband

This project proposes the design of a smart neckband device for smoking detection. The device is equipped with acoustic sensors to detect smoking sessions and puffs. We propose a framework in which the lower-layer detects the sub-movements, i.e., lighter usage, hand-to-mouth gesture and deep breathing; and the higher-layer detects smoking puffs and sessions. Real-world experiments suggest our system can accurately detect smoking puffs and sessions with F1 score of respectively 93.59% and 92.96%.

Tao Gu
Tao Gu
Email: firstname dot lastname AT
Phone: +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.