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Context-aware applications sense, combine and reason about contextual information in order to determine and adapt to the current user's context. A very important problem associated with context is the inherent ambiguity and inaccuracy. Contextual information is typically pervaded with imperfect sensing (e.g., noise of sensor readings). A novel context fusion model that represents, determines and reasons about context based on the reliability on sensor readings is proposed. This model adopts dynamic Bayesian networks and fuzzy-set theory in order to deal with the reliability of contextual data at the context inference phase.
Date of Conference: 8-11 Oct. 2007