Modeling of Smoking Behavior and Lapse Prediction using Wearable and Contextual Sensors

The basic idea is trying to find the pattern of smoking using both physiological and contextual information collected through wearable sensors. Theose information will help us to form a quantified realationship between peoples's smoking behavior and externally measurable signals( like vital signs, location, mood and stress). Then based on that we will build a model to predict their future craving, so that we could provide tailored interventions to them just in time.

Publication year:2021

Accessibility:Open