A Research on a Context-Awareness Middleware for Intelligent Homes


The KIPS Transactions:PartA, Vol. 11, No. 7, pp. 529-536, Dec. 2004
10.3745/KIPSTA.2004.11.7.529,   PDF Download:

Abstract

Smart homes intefgrated with sensors, actuators, wireless networks and context-aware middleware will coon become part of daily life. This paper describes a context-aware middleware providing an automatic home service based on a user's perference. The context-aware middleware utilizes 6 basic data for learning and predicting the user's preference on the multimedia content: the pulse, the body temperature, the facial expression, the room temperature, the time, and the location. The six data sets construct the context model and are used by the context manager module. The log manager module maintains history information for multimedia content chosen by the user. The user-pattern learning and predicting module based on a neural network predicts the proper home service for the user. The testing results show that the pattern of an individual's preferences can be effectively evaluated and predicted by adopting the proposed context model.


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Cite this article
[IEEE Style]
J. H. Choi, S. Y. Choi, D. K. Shin, D. I. Shin, "A Research on a Context-Awareness Middleware for Intelligent Homes," The KIPS Transactions:PartA, vol. 11, no. 7, pp. 529-536, 2004. DOI: 10.3745/KIPSTA.2004.11.7.529.

[ACM Style]
Jong Hwa Choi, Soon Yong Choi, Dong Kyoo Shin, and Dong Il Shin. 2004. A Research on a Context-Awareness Middleware for Intelligent Homes. The KIPS Transactions:PartA, 11, 7, (2004), 529-536. DOI: 10.3745/KIPSTA.2004.11.7.529.