![]() The use of Wi-Fi to estimate the presence and location of the subject is widely used nowadays. So, we built a lightweight WiFi sniffer using a cheap microcontroller development board based on the ESP32 chip, that has been programmed in Zerynth.įor 11 days, ten devices have been placed in a business centre in Pisa, to understand the behaviour of the seven companies, distributed over the two floors of the building.Ĭapturing people movements from WiFi data ![]() The goal of the project was to develop a non-invasive system that can give shared space community managers data and insights that are useful for the management of their communities. The framework aims at analysing the social behaviour of people in business buildings and shared workspaces. ![]() I prototyped a framework for indoor people tracking with one of my students of the “Design of Interactive Systems” course at the University of Pisa. Most of these, however, require the active involvement of the subjects, through an active connection to WiFi network or Bluetooth devices. Recently, several indoor localisation solutions based on WiFi, Bluetooth, and RFID have been proposed. Understanding business dynamics through WiFi packets sniffing
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