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

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.