Implementation of a framework to integrate sensors and controllers
International Journal of Intelligent Systems Technologies and Applications
A QoS-driven approach for service-oriented device anycasting in ubiquitous environments
Computer Networks: The International Journal of Computer and Telecommunications Networking
Semantic approach for modelling an assistive environment using description logic
Proceedings of the 10th International Conference on Information Integration and Web-based Applications & Services
Context-aware systems: A literature review and classification
Expert Systems with Applications: An International Journal
Indoor human dynamic localization and tracking based on sensory data fusion techniques
IROS'09 Proceedings of the 2009 IEEE/RSJ international conference on Intelligent robots and systems
Semantic Matching Framework for handicap situation detection in smart environments
Journal of Ambient Intelligence and Smart Environments
Environmental user-preference learning for smart homes: An autonomous approach
Journal of Ambient Intelligence and Smart Environments
Journal of Network and Computer Applications
A context-aware system for smart home applications
EUC'05 Proceedings of the 2005 international conference on Embedded and Ubiquitous Computing
Real-Time human tracker based location and motion recognition for the ubiquitous smart home
UIC'06 Proceedings of the Third international conference on Ubiquitous Intelligence and Computing
Extraction of implicit context information in ubiquitous computing environments
ICCSA'06 Proceedings of the 2006 international conference on Computational Science and Its Applications - Volume Part IV
Semantic Matching Framework for handicap situation detection in smart environments
Journal of Ambient Intelligence and Smart Environments
An easy-to-use 3D visualization system for planning context-aware applications in smart buildings
Computer Standards & Interfaces
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Smart homes integrated with sensors, actuators, wireless networks and context-aware middleware soon becomes 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 includes an appliance controller, a context-aware agent and a scalable browser. The appliance controller takes charge of communication between appliances in the context-aware middleware. The context-aware middleware use OSGi (open service gateway initial) as the framework of the home network. The scalable browser recognizes the properties of all the rendering device, and it figures out their screen size. We use UlML (user interface markup language) as multiple rendering device. The context-aware agent utilizes 6 basic data values for learning and predicting the user's preference for 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 the history information for home appliances chosen by the user. The user-pattern learning and predicting module is based on a neural network, which predicts the proper home service for the user. The test results show that the pattern of an individual's preference can be effectively evaluated.