An adaptive and anticipatory AmI approach tailored to user needs

The objective of the research is to propose a feasible software solution able to learn the behavior and habits of domotic home inhabitants in order to anticipate their needs. The proposed work consists of developing an application that integrates existing, well-established domotic systems with machine learning techniques to offer a ready and complete practicable solution for improving the quality of life in a technological living environment, such as a house, a yacht and so on. The proposed solution also represents a concrete aid for disabled and elderly occupants by providing them with greater autonomy and safety, especially for the critically ill because it is able to recognize unusual, potentially hazardous behavior. The prototype has been developed and is currently running at in the Pisa CNR laboratory, where a home environment is faithfully simulated.