SAS4P: Providing automatic smoking detection for a persuasive smoking cessation application

Abstract

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.

Real-time prediction of smoking activity using machine learning based multi-class classification model

“…Recently, a significant number of studies conducted on quit smoking, which uses mobile applications or wearable devices. The method of targeting behavior change using mobile applications is called as persuasive technology [51,65]. A study suggests that computer-based intervention (CBI) is more effective as compared to inperson brief intervention (IBI) in cases of substance use.…”

“…Long term engagement of patients with such apps has shown improved results in quit smoking [22,49,63]. Due to the self-reporting feature in these apps, patients gradually lose interest in using the application and results in poor adherence [51]. These applications lack the required intelligence, static, and unable to provide tailored and personalized feedback [25].…”

“…It is observed that wrist wearable IMU (Inertial Measurement Unit) sensors are mostly used in different studies to detect smoking activity [53,57,59,60,64]. In some research, a respiration sensor, heart rate sensor, smoke sensor, or smart lighter has also been used in addition to the IMU sensor [51,53,57,60].…”

Social+Me: a persuasive application to increase communication between students and their support networks in Southern Chile

“…We used the metaphor of a tree in a field , which we had used previously ( Bascur et al, 2018 ; Rossel et al, 2019 ), to organize the persuasive strategies in an understandable and coherent way. A similar concept (using a garden) was used for Ubifit Garden ( Consolvo et al, 2008 ), and similar ideas have been used previously with positive results ( Oyebode, Maurya & Orji, 2020 ).…”

Internet of things for health and well-being applications

“…One major goal of a relevant number of IoT-based health solutions is to change behaviour effectively. Rossel et al 6 devised, developed, and evaluated a wearable system which assists with the cessation of smoking particularly. The solution developed a low-cost device that may be worn on the body or affixed to the clothing.…”