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Learning from experience to anticipate domestic needs

Academic Article
Publication Date:
2011
abstract:
With the increasing influence of technology on our lives, it is becoming ever more important to offer new ambient intelligence solutions which enable humans to adapt and organize their lives around computational technologies and technologies to adapt to meet user behaviour. We apply machine learning techniques to demonstrate how user needs can be satisfied and anticipated by adding Ambient Intelligence solutions to any environment equipped with well-established commercial domotic systems.
Iris type:
01.01 Articolo in rivista
List of contributors:
Russo, Dario; Miori, Vittorio
Authors of the University:
RUSSO DARIO
Handle:
https://iris.cnr.it/handle/20.500.14243/21658
Published in:
ERCIM NEWS
Journal
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Overview

URL

http://ercim-news.ercim.eu/en84/special/learning-from-experience-to-anticipate-domestic-needs
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