Capturing Personal and Crowd Behavior with Wi-Fi Analytics

Abstract

We present a solution for analysing crowds at events such as conferences where people have networking opportunities. Often, potential social relations go unexploited because no business cards were exchanged or we forget about interesting people we met earlier. We created a solution built on top of ubiquitous Wi-Fi signals that is able to create a memory of human trajectories and touch points. In this paper we elaborate on the technological assets we designed to perform crowd anlaytics. We present small wearable Wi-Fi badges that last for the duration of an event (up to 3 days) with a single charge, as well as network equipment that senses the signals radiating from these badges and contemporary mobile devices.