In this paper we address the problem of capturing and pro- cessing certain spatiotemporal, social characteristics of hu- man interactions with the use of Wireless Sensor Networks. Using TelosB motes, we basically monitor the binary prox- imity within a group of people. The collected data give an insight of how people interact with each other (how often, for how much time, in which room) and provide a novel tool (which can be further enhanced) to study (quantitatively, in an automated manner) human social networks.