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In pervasive computing environments, understanding the context of an entity is essential for adapting the application behavior to changing situations. In our view, context is a high-level representation of a user or entity's state and can capture location, activities, social relationships, capabilities, etc. Inherently, however, these high-level context metrics are difficult to capture using uni-modal...
Context-aware applications automatically adapt their behavior according to environmental conditions, also known as contexts. However, in practice contexts are often inaccurate, noisy or even inconsistent (e.g., two RFID readers may report different numbers for the same set of goods processed). These kinds of problematic contexts may cause context-aware applications to behave abnormally or even fail...
The area of activity recognition is essential for context-aware systems. Previous and current investigations demonstrate that the accelerometer is suitable for accurate movement and activity recognition. Since smartphones are used by people in their daily lives, they can be seen as an attractive sensor device for the purpose of activity recognition. In our work, experiments have been carried out to...
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