The Ambient Assisted Living offers technologies that allow live independently by accessing home automation and devices with a single and simplified interface. It also improves safety, with permanent monitoring of vital signs and abnormal situations such as falls, flood detection, etc.

Thus, the platform I2Life allows integrating the various devices at home. It includes monitoring of medical signs and user interaction with the house. The project also includes a module for Data Mining and alarm generation, which detects variations in living standards of the user and potentially abnormal situations, generating different types of alarms depending on the severity and potential emergency situation detected.

The objective of the I2Life is to develop a prototype for Ambient Assisted Living, so that a user with special needs, such as an elder citizen, a chronic patient, or a recovering patient, can maintain their independency and live by their self in their house.

This monitoring is done in a non-intrusive way, by recurring to a body sensor network (blood pressure meter, body temperature, etc.) and other types of sensors, like presence and weight sensors.

The data collected by those sensors is treated in an expert system that provides profile generation and monitoring of the user’s health status and evolution. I2Life also serves as an alarm system and a reporting tool for the Health Professional monitoring the patient and/or anyone who is responsible for the user’s health.