The goal of Markus' master thesis was to establish whether real-life social interactions could be detected using smartphone internal sensors. The present dataset is a labelled set of sensor data. It contains sensing data of six persons, who each used the sensing application for three days in a row. During these days, the test persons in addition created labels for their real-life sensing data. Participants in the first group in addition worked in the same office, and used the sensing at the same time. Their social interactions therefore overlap.

This master thesis has been supervised by Viktoria Pammer at Graz University of Technology (kti.tugraz.at/staff/viktoriapammer).