Next Article in Journal
Analysis of Airborne Particulate Matter (PM2.5) over Hong Kong Using Remote Sensing and GIS
Next Article in Special Issue
Geometric and Colour Data Fusion for Outdoor 3D Models
Previous Article in Journal
Enhancing Positioning Accuracy in Urban Terrain by Fusing Data from a GPS Receiver, Inertial Sensors, Stereo-Camera and Digital Maps for Pedestrian Navigation
Previous Article in Special Issue
IVAN: Intelligent Van for the Distribution of Pharmaceutical Drugs
Article Menu

Export Article

Open AccessArticle
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
View Full-Text   |   Download PDF [437 KB, uploaded 21 June 2014]   |  


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. View Full-Text
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).

Scifeed alert for new publications

Never miss any articles matching your research from any publisher
  • Get alerts for new papers matching your research
  • Find out the new papers from selected authors
  • Updated daily for 49'000+ journals and 6000+ publishers
  • Define your Scifeed now

SciFeed Share & Cite This Article

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.

Show more citation formats Show less citations formats

Related Articles

Article Metrics

Article Access Statistics



[Return to top]
Sensors EISSN 1424-8220 Published by MDPI AG, Basel, Switzerland RSS E-Mail Table of Contents Alert
Back to Top