A Prototype for Resource Optimized Context Determination in Pervasive Care Environments

Nirmalya Roy; Christine Julien; Archan Misra; Sajal Das

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.

Published: 2012-10-26

: http://dx.doi.org/10.1007/978-3-642-12607-9_23