This paper describes a context information acquisition framework for a personal device that equips a variety of sensors. The framework captures context information about a user and his/her surrounding environment; and the information is used to adapt the behavior of applications running on the personal device. Our framework adopts the blackboard architecture to execute multiple analysis modules that analyze signals from respective sensors. Respective modules implement different algorithms to complement each other's results to retrieve more accurate and higher abstract context information.
['Tetsuo Yamabe', 'Ayako Takagi', 'Tatsuo Nakajima']
Citron: a context information acquisition framework for personal devices