Abstract: Context aware systems generally use contexts to drive higher applications. Because context information is di- verse in types and values,the systems developed are poor in extensibility and stability. This paper proposed a situation- driven model for context awareness computing. The framework is based on situation information, and it can shield the heterogeneity and diversity of original context information. Situation-recognition is the kernel of this framework. The situation is recognized from basic context information,and is used to drive related applications. This framework simpli- fies the processing on designing a system, and is helpful in improving the systems' extensibility and stability. The mech- anism of situation recognition based on neural network avoids the problem of knowledge explosion when it uses the mechanism of reasoning. A prototype system was implemented, and it validated the proposed infrastructure.

Key words: Context awareness, Situation recognition, Artificial neural network, Pervasive computing