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First IEEE International Conference on Pervasive Computing and Communications (PerCom'03)
MavHome: An Agent-Based Smart Home
Fort Worth,Texas
March 23-March 26
ISBN: 0-7695-1893-1
Diane J. Cook, University of Texas at Arlington
Michael Youngblood, University of Texas at Arlington
Edwin O. Heierman, III, University of Texas at Arlington
Karthik Gopalratnam, University of Texas at Arlington
Sira Rao, University of Texas at Arlington
Andrey Litvin, University of Texas at Arlington
Farhan Khawaja, University of Texas at Arlington
The goal of the MavHome (Managing An Intelligent Versatile Home) project is to create a home that acts as an intelligent agent.1 In this paper, we introduce the MavHome architecture. The role of prediction algorithms within the architecture is discussed, and a meta-predictor is presented which combines the strengths of multiple approaches to inhabitant action prediction. We demonstrate the effectiveness of these algorithms on smart home data.
Citation:
Diane J. Cook, Michael Youngblood, Edwin O. Heierman, III, Karthik Gopalratnam, Sira Rao, Andrey Litvin, Farhan Khawaja, "MavHome: An Agent-Based Smart Home," percom, pp.521, First IEEE International Conference on Pervasive Computing and Communications (PerCom'03), 2003
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