A Reactive and Proactive Approach for Ambient Intelligence

Abstract

Ambient Intelligence provides technology support and assistance to help people in their daily wellbeing. Equipped with ubiquitous technologies, Ambient Intelligence uses sensors to monitor the environment and to collect data continuously providing systems with updated information. Ideally, these computer-supported environments must detect relevant events to forecast future situations and to act proactively to mitigate or eliminate undesired situations while regarding user’s specific needs. To build a system with reactive and proactive characteristics in Ambient Intelligence, it is important to allow it to be extensible, predictive and to incorporate decision-making capabilities. In this sense, the objective of this work is to propose an approach for providing reactive and proactive behavior in Ambient Intelligence systems. More specifically, we want to provide Situation as a Service in Ambient Assisted Living. In the present work, we illustrate practical aspects of the system’s architecture by describing a home-care scenario in which the system is able to understand the behavior of the user, as the time goes by, and detect relevant (dangerous) situations in order to act reactively and proactively and help users manage their health condition.