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Available from: Alejandro Fernández-Montes, Jul 14, 2015
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    ABSTRACT: Due to progress in wired and wireless home networking, sensor networks, networked appliances, mechanical and control engineering, and computers, we can build smart homes, and many smart home projects are currently proceeding throughout the world. However, we have to be careful not to repeat the same mistake that was made with home automation technologies that were booming in the 1970s. That is, [total?] automation should not be a goal of smart home technologies. I believe the following points are important in construction of smart homes from users? viewpoints: development of interface technologies between humans and systems for detection of human intensions, feelings, and situations; improvement of system knowledge; and extension of human activity support outside homes to the scopes of communities, towns, and cities.
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    ABSTRACT: In this paper, we provide information an artificial intelligence agent for a smart home and discuss a context model for implementation in an efficient smart home. An artificial intelligence agent in a smart home learns about the occupants and the smart environment, and predicts the appliance service that they will want. We propose the SVM (Support Vector Machine) for the learning and prediction aspects of the artificial intelligence agent. The experiment was done using three methods. Each of these three methods applies a higher importance to a different set of context data, out of the data related to the occupant, home environment, and the characteristics of the home appliances. Excellent results were seen when the experiment applied a higher importance to the data related to the characteristics of the home appliances.
    01/1970: pages 417-417;
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    ABSTRACT: Specialized elements of hardware and software, connected by wires, radio waves and infrared, will be so ubiquitous that no one will notice their presence.
    Scientific American 09/1991; 265(3):94. DOI:10.1038/scientificamerican0991-94 · 1.07 Impact Factor