Telos: enabling ultra-low power wireless research
IPSN '05 Proceedings of the 4th international symposium on Information processing in sensor networks
IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics - Special issue on human computing
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In this paper we address the problem of capturing and processing certain spatiotemporal, social characteristics of human interactions with the use of Wireless Sensor Networks. Using TelosB motes, we basically monitor the binary proximity 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.