Sensing Healthy Lifestyle in Urban and Rural Environments

Abstract

An extended framework for Android smartphones is employed to obtain objective and subjective measures of relevant lifestyle parameters. Participants were recruited from two very dissimilar environments: the city of Istanbul as one of the largest mega cities worldwide and the rural district of Mersin in the south-eastern part of Turkey. Correlation analysis between subjective ratings and objective sensor data features is performed to illustrate the potential of an automatic detection of health-relevant lifestyle parameters.