Meeting People’s Needs in a Fully Interoperable Domotic Environment
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 mov...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
MDPI AG
2012-05-01
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| Series: | Sensors |
| Subjects: | |
| Online Access: | http://www.mdpi.com/1424-8220/12/6/6802 |
| _version_ | 1798040124696559616 |
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| author | Vittorio Miori Dario Russo Cesare Concordia |
| author_facet | Vittorio Miori Dario Russo Cesare Concordia |
| author_sort | Vittorio Miori |
| collection | DOAJ |
| description | 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. |
| first_indexed | 2024-04-11T22:03:11Z |
| format | Article |
| id | doaj.art-68e72cd2a12e400dab585d5f6adb1a3d |
| institution | Directory Open Access Journal |
| issn | 1424-8220 |
| language | English |
| last_indexed | 2024-04-11T22:03:11Z |
| publishDate | 2012-05-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Sensors |
| spelling | doaj.art-68e72cd2a12e400dab585d5f6adb1a3d2022-12-22T04:00:51ZengMDPI AGSensors1424-82202012-05-011266802682410.3390/s120606802Meeting People’s Needs in a Fully Interoperable Domotic EnvironmentVittorio MioriDario RussoCesare ConcordiaThe 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.http://www.mdpi.com/1424-8220/12/6/6802Ambient Intelligentdomoticshome environmentinteroperabilityDomoNetweb servicesXMLdata miningmachine learningassociation rules |
| spellingShingle | Vittorio Miori Dario Russo Cesare Concordia Meeting People’s Needs in a Fully Interoperable Domotic Environment Sensors Ambient Intelligent domotics home environment interoperability DomoNet web services XML data mining machine learning association rules |
| title | Meeting People’s Needs in a Fully Interoperable Domotic Environment |
| title_full | Meeting People’s Needs in a Fully Interoperable Domotic Environment |
| title_fullStr | Meeting People’s Needs in a Fully Interoperable Domotic Environment |
| title_full_unstemmed | Meeting People’s Needs in a Fully Interoperable Domotic Environment |
| title_short | Meeting People’s Needs in a Fully Interoperable Domotic Environment |
| title_sort | meeting people s needs in a fully interoperable domotic environment |
| topic | Ambient Intelligent domotics home environment interoperability DomoNet web services XML data mining machine learning association rules |
| url | http://www.mdpi.com/1424-8220/12/6/6802 |
| work_keys_str_mv | AT vittoriomiori meetingpeoplesneedsinafullyinteroperabledomoticenvironment AT dariorusso meetingpeoplesneedsinafullyinteroperabledomoticenvironment AT cesareconcordia meetingpeoplesneedsinafullyinteroperabledomoticenvironment |