earticle

영어

This paper describes a context extraction framework for a mobile device that equips a
variety of sensors. The framework captures context about a user and her surrounding
environment; the information is used to adapt the behavior of applications running on the
mobile 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 accurate high-level
context. Based on experiments with a sample application, we evaluate the feasibility of the
framework and point out the possibilities and limitations of context extraction in mobile
devices.