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Fueled by ongoing developments of wireless communication and sensor technologies in ubiquitous/pervasive computing and Ambient Intelligence (AmI), context-aware computing has gained a great deal of attention since the mid nineties. New applications are emerging that are aware of the context of their usage and that adapt their behavior accordingly with minimal distraction of the user. Context-awareness deals with the ability of applications to utilize information about the user's context, including the time of day, his location and activities, etc., in order to adapt applications to the user's current situation and intentions. For example, an intelligent reminder application may only notify the user at a given time and place and change the way the user is informed depending on the circumstances at hand. The development of context-aware applications that run in highly dynamic environments and that adapt to changing user requirements remains a complex and error-prone task. To remedy this situation, our research aims at providing middleware support to facilitate the development of context-aware applications in an Ambient Intelligence environment. The main objectives are to provide context and application modeling abstractions and middleware support to handle context and adapt applications. By delegating context management and application adaptation into the middleware, we reduce the development effort to realize context-aware behavior by the application. |
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Last updated: June 2nd, 2010
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