Mobile Computing, Applications, and Services. First International ICST Conference, MobiCASE 2009, San Diego, CA, USA, October 26-29, 2009, Revised Selected Papers

Research Article

A Prototype for Resource Optimized Context Determination in Pervasive Care Environments

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  • @INPROCEEDINGS{10.1007/978-3-642-12607-9_23,
        author={Nirmalya Roy and Christine Julien and Archan Misra and Sajal Das},
        title={A Prototype for Resource Optimized Context Determination in Pervasive Care Environments},
        proceedings={Mobile Computing, Applications, and Services. First International ICST Conference, MobiCASE 2009, San Diego, CA, USA, October 26-29, 2009, Revised Selected Papers},
        proceedings_a={MOBICASE},
        year={2012},
        month={10},
        keywords={},
        doi={10.1007/978-3-642-12607-9_23}
    }
    
  • Nirmalya Roy
    Christine Julien
    Archan Misra
    Sajal Das
    Year: 2012
    A Prototype for Resource Optimized Context Determination in Pervasive Care Environments
    MOBICASE
    Springer
    DOI: 10.1007/978-3-642-12607-9_23
Nirmalya Roy1,*, Christine Julien1,*, Archan Misra2,*, Sajal Das3,*
  • 1: The University of Texas at Austin
  • 2: Telcordia Technologies
  • 3: The University of Texas at Arlington
*Contact email: nirmalya.roy@mail.utexas.edu, c.julien@mail.utexas.edu, archan@research.telcordia.com, das@uta.edu

Abstract

In this demonstration we demonstrate an early prototype that shows the importance of context determination in the presence of mobile entities in pervasive care environments. We use our novel context model to build a framework for resource-constrained sensor networks. We then use this context model to use a user’s mobility to infer his , which we refer to as his . Because the context state is inferred from actual sensed context, we use the prototype to demonstrate the tradeoff between context inferencing accuracy and communication overhead. The ability to sense the environment and accurately infer context can help monitor the user in a pervasive care environment.