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Regular Paper

HeartIt: Low-Power Smoking Detection with a Smartwatch on Either Wrist

School of Information Science and Technology, Northwest University, Xi’an 710027, China
Internet of Things Research Center, Northwest University, Xi’an 710027, China
School of Computer Science and Technology, Xi’an Jiaotong University, Xi’an 710049, China
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Abstract

To assist with smoking cessation, wearable devices are used to detect the puff (hand-to-mouth gesture) recognition within the smoking activity in a ubiquitous manner. There is a strong assumption that smoking and wearing a smartwatch are usually with the same hand. It will certainly fail to detect smoking gesture with the opposite hand. In this work, we find an interesting phenomenon: smoking can cause a unique pattern of heart rate (HR) which is quite different from other daily activities’ effects. Based on this psychophysiological response, we propose HeartIt, a just-in-time smoking detection solution through measuring the HR by a smartwatch. HeartIt works well for the smoker wearing a smartwatch on either wrist. It can accurately distinguish smoking from other similar hand-to-mouth gestures (e.g., eating, drinking). Moreover, we design an adaptive tracker to trigger the HR sensor once the gesture of lighting a cigarette is detected by low-cost accelerometers. It is robust for different people in various postures and scenarios. Our real-world experiments show that the precision and recall rate of HeartIt reaches 96.7% and 99.8%, respectively.

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Journal of Computer Science and Technology
Pages 552-571

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Cite this article:
Ma J, Xing T-Z, Xi W, et al. HeartIt: Low-Power Smoking Detection with a Smartwatch on Either Wrist. Journal of Computer Science and Technology, 2025, 40(2): 552-571. https://doi.org/10.1007/s11390-024-2981-3

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Received: 21 November 2022
Accepted: 08 April 2024
Published: 31 March 2025
© Institute of Computing Technology, Chinese Academy of Sciences 2025