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OPF: A Distributed Context-Sensing Framework for Ubiquitous Computing Environments

  • Max Van Kleek
  • Kai Kunze
  • Kurt Partridge
  • James “Bo” Begole
Part of the Lecture Notes in Computer Science book series (LNCS, volume 4239)

Abstract

This paper describes the Obje Perception Framework (OPF), a distributed software architecture for context sensing and inference in ubiquitous computing environments. OPF provides flexibility, scalability, and robustness even as the sensor configuration changes. For flexibility, OPF supports many context inference tasks, ways of achieving those tasks, and heterogeneity in sensor types. With respect to scalability, OPF accommodates the needs of a large number of applications simultaneously while conserving power and reducing the amount of data transmitted over the network. And to support robustness to dynamism, OPF constructs context inference pipelines to satisfy each applications’ needs in a goal-directed fashion. The value of OPF is demonstrated by a case study of an end-user application that helps users establish and manage connections among the various digital resources in their environment.

Keywords

Augmented Reality Ubiquitous Computing Pervasive Computing Inference Algorithm Digital Resource 
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 2006

Authors and Affiliations

  • Max Van Kleek
    • 1
  • Kai Kunze
    • 2
  • Kurt Partridge
    • 3
  • James “Bo” Begole
    • 3
  1. 1.MIT Computer Science and, Artificial Intelligence Laboratory (CSAIL)CambridgeUSA
  2. 2.Institute for Embedded Systems (IES)University PassauPassauGermany
  3. 3.Palo Alto Research CenterPalo AltoUSA

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