Multi-sensory Mobile Device and Tuplespace-based Context Acquisition Framework
Tetsuo Yamabe (PM), Ayako Takagi
In this project, we developed a context extraction framework for a mobile device equipped with a variety of sensors. The framework captures context about the user and their surrounding environment, and this information is used to adapt the behavior of applications running on the device. Our framework adopts a blackboard architecture to run multiple analysis modules, each of which analyzes the signals from its own sensor. The modules implement different algorithms that complement each other’s results to derive accurate high-level context. Based on experiments with a sample application, we evaluate the feasibility of the framework and identify the possibilities and limitations of context extraction on mobile devices.