TUM Kolloquium: Contextual Interaction inference and characterization derived from wireless network mining

07.2017: Video available via the TUM media portal

This talk is focused on wireless network mining and on context and behavior characterization derived from the application of non-intrusive, pervasive sensing approaches in connected wireless environments. The research described in this talk goes over the development of networking solutions and mechanisms that can assist data capture and distributed inference of roaming habits in a way that may lead to social interaction stimulation (and as a consequence, to a better design of networking communication).