Detecting Smoking Behaviour using a Smart Neckband
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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%.