SAS4P: Providing automatic smoking detection for a persuasive smoking cessation application
Date
2019-11Author
Rossel Cid, Pedro
Paredes, Lorenzo
Bascur, Antonio
Martínez-Carrasco, Claudia
Herskovic, Valeria
Publisher
International Journal of Distributed Sensor NetworksDescription
Metadata
Show full item recordAbstract
Smoking is the biggest avoidable health risk, causing millions of deaths per year worldwide. Persuasive applications are
those designed to change a person’s behavior, usually in a specific way. Several mobile phone applications and messaging
systems have been used to promote smoking cessation. However, most interventions use participants’ self-reports to
track cigarette consumption and avoidance, which may not be accurate or objective. Previous proposals have used sensors to track hand movements and other contextual data to detect smoking or have used devices to detect smoke or
breath carbon monoxide. This article proposes a low-cost wearable device that may be worn in a front shirt pocket or
clipped to clothing to detect smoke and secondhand smoke. Furthermore, the device is integrated into a persuasive
application to promote smoking cessation. The device was evaluated through an experiment to detect whether it may
detect direct, passive, and no smoking conditions. The results are promising and may help improve tracking of cigarettes
in persuasive applications.