A Tutorial on Support Vector Machines for Pattern Recognition
Data Mining and Knowledge Discovery
Reconfigurable Context-Sensitive Middleware for Pervasive Computing
IEEE Pervasive Computing
Reflective Middleware Solutions for Context-Aware Applications
REFLECTION '01 Proceedings of the Third International Conference on Metalevel Architectures and Separation of Crosscutting Concerns
Towards a Better Understanding of Context and Context-Awareness
HUC '99 Proceedings of the 1st international symposium on Handheld and Ubiquitous Computing
A middleware for context-aware agents in ubiquitous computing environments
Proceedings of the ACM/IFIP/USENIX 2003 International Conference on Middleware
Intelligent homes: a new challenge in telecommunications standardization
IEEE Communications Magazine
Context reasoning technologies in ubiquitous computing environment
EUC'06 Proceedings of the 2006 international conference on Embedded and Ubiquitous Computing
| Hi-index | 0.00 |
Smart homes integrated with sensors, actuators, wireless networks and context-aware middleware will soon become part of our daily life. This paper describes a context-aware middleware providing an automatic home service based on a user's preference inside a smart home. The context-aware middleware utilizes 6 basic data for learning and predicting the user's preference on the home appliances: 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 user profile manager maintains history information for home appliances 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.