A passive, non-intrusive, cheap method to identify behaviours and habits in the Campus

Infrastructure usage discovery, positioning and analysis of behaviors of its users, usually requires a collection of accurate and frequent positioning data. This paper shows how a network of inexpensive and non-intrusive sensors can serve to perform this kind of analysis by detecting devices with wifi connectivity. We are able to obtain the hours of use of the infrastructures, the occupation of the different areas at each moment and some of the most common users' behaviours.