Non-invasive monitoring system to detect sitting people

Daniel A. Rosato, Andrea Masciadri, Sara Comai, Fabio Salice · 2018

Determining the position of a body is crucial in the context of the Ambient Assisted Living: knowing if a person is standing, lying down or sitting makes the difference in the process of detecting anomalies due to inactivity. We present a non-invasive monitoring system to recognize if a person is seated using Bluetooth Low Energy technology. The system is composed by devices that can be easily attached to the furniture: a transmitter module that continuously broadcasts Bluetooth signal, and a receiver which collects the RSSi value of the received messages. Finally, a central server evaluates the attenuation of the Bluetooth signal within the 2.4GHz band, correlating it to the presence of a human body in the proximity of the device.

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