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Perceptual Components for Context Aware Computing

  • James L. Crowley
  • Joëlle Coutaz
  • Gaeten Rey
  • Patrick Reignier
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 2498)

Abstract

In this paper we propose a software architecture for observing and modeling human activity. This architecture is derived from an ontology for context awareness. We propose a model in which a user’s context is described by a set of roles and relations. Different configurations of roles and relations correspond to situations within the context. The components of a context model are used to specify processes for observing activity. The ontology for context modeling is derived from both a bottom up system’s perspective and a top-down users’ perspective. As we define each element, we describe the corresponding components of a process-based software architecture. Using these components, a context is translated into a federation of observational processes. This model leads to an architecture in which reflexive elements are dynamically composed to form federations of processes for observing and predicting the situations that make up a context.

Keywords

Kalman Filter Software Architecture Confidence Factor Context Aware System Perceptual Component 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer-Verlag Berlin Heidelberg 2002

Authors and Affiliations

  • James L. Crowley
    • 1
  • Joëlle Coutaz
    • 2
  • Gaeten Rey
    • 2
  • Patrick Reignier
    • 1
  1. 1.Laboratoire GRAVIR, INRIA Rhône AlpesMontbonnotFrance
  2. 2.CLIPS-IMAGUniversité Joseph FourierSt. Martin D’hèresFrance

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