Poster abstract: SADSense: Personalized mobile sensing for seasonal effects on health

Abstract

People's moods and activities are heavily affected by their environment, which changes significantly throughout the year. The variable of daylight hours is huge for countries in extreme latitudes, impacting the population's health and well-being. In this paper, we present a smartphone application that efficiently and accurately measures a person's light exposure, mood and activity levels. We performed a preliminary study to show effective data collection using on-board sensors in the mobile phones.