The app works in two stages. In the first stage, data acquisition is carried out, carried out with smartwatches. This data is sent to the server and, from it, machine learning models are created that will be used in the second phase.

In the second phase, the smartwatch periodically samples the strengths of the surrounding WiFi signals (the one emitted by the access points that are visible), and sends them to the server. This information is the input to the machine learning algorithms that, as an output, provide an estimate of the room, within the user’s home, where the user is located.