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.