OPF: A distributed context-sensing framework for ubiquitous computing environments

Max Van Kleek, Kai Kunze, Kurt Partridge, James Begole

Research output: Chapter in Book/Report/Conference proceedingConference contribution

2 Citations (Scopus)


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, OFF 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, OFF 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.

Original languageEnglish
Title of host publicationUbiquitous Computing Systems - Third International Symposium, UCS 2006, Proceedings
PublisherSpringer Verlag
Number of pages16
ISBN (Print)3540462872, 9783540462873
Publication statusPublished - 2006
Externally publishedYes
Event3rd International Symposium on Ubiquitous Computing Systems, UCS 2006 - Seoul, Korea, Republic of
Duration: 2006 Oct 112006 Oct 13

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume4239 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349


Other3rd International Symposium on Ubiquitous Computing Systems, UCS 2006
Country/TerritoryKorea, Republic of

ASJC Scopus subject areas

  • Theoretical Computer Science
  • General Computer Science


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