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Sensors 2012, 12(6), 6802-6824; doi:10.3390/s120606802

Meeting People’s Needs in a Fully Interoperable Domotic Environment

Institute of Information Science and Technologies “A. Faedo” (ISTI), CNR-National Research Council of Italy, Via G. Moruzzi 1, Pisa 56124, Italy
Author to whom correspondence should be addressed.
Received: 8 April 2012 / Revised: 11 May 2012 / Accepted: 22 May 2012 / Published: 25 May 2012
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The key idea underlying many Ambient Intelligence (AmI) projects and applications is context awareness, which is based mainly on their capacity to identify users and their locations. The actual computing capacity should remain in the background, in the periphery of our awareness, and should only move to the center if and when necessary. Computing thus becomes ‘invisible’, as it is embedded in the environment and everyday objects. The research project described herein aims to realize an Ambient Intelligence-based environment able to improve users’ quality of life by learning their habits and anticipating their needs. This environment is part of an adaptive, context-aware framework designed to make today’s incompatible heterogeneous domotic systems fully interoperable, not only for connecting sensors and actuators, but for providing comprehensive connections of devices to users. The solution is a middleware architecture based on open and widely recognized standards capable of abstracting the peculiarities of underlying heterogeneous technologies and enabling them to co-exist and interwork, without however eliminating their differences. At the highest level of this infrastructure, the Ambient Intelligence framework, integrated with the domotic sensors, can enable the system to recognize any unusual or dangerous situations and anticipate health problems or special user needs in a technological living environment, such as a house or a public space.
Keywords: Ambient Intelligent; domotics; home environment; interoperability; DomoNet; web services; XML; data mining; machine learning; association rules Ambient Intelligent; domotics; home environment; interoperability; DomoNet; web services; XML; data mining; machine learning; association rules

This is an open access article distributed under the Creative Commons Attribution License (CC BY 3.0).

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MDPI and ACS Style

Miori, V.; Russo, D.; Concordia, C. Meeting People’s Needs in a Fully Interoperable Domotic Environment. Sensors 2012, 12, 6802-6824.

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