ITEM METADATA RECORD
Title: An intelligent domotics system to automate user actions
Authors: Kcomt Ché, Natalie
Pardons, Niels
Vanrompay, Yves
Preuveneers, Davy
Berbers, Yolande #
Issue Date: May-2010
Publisher: Springer
Host Document: Ambient Intelligence and Future Trends - International Symposium on Ambient Intelligence (ISAmI 2010). Advances in Intelligent and Soft Computing vol:72 pages:201-204
Conference: International Symposium on Ambient Intelligence (ISAmI 2010) edition:1 date:16-18 June 2010
Abstract: Home automation systems are ambient intelligence systems that are designed to help people proactively, but sensibly. In this paper we propose a system that learns and automates patterns in the interactions of the user with the home automation devices. We will show our approach and architecture. We use an event processing tool to handle the events from the home automation devices, prediction algorithms to predict the next action and reinforcement learning to decide which action are suitable to be automated.
ISBN: 978-3-642-13267-4
ISSN: 1615-3871
Publication status: published
KU Leuven publication type: IC
Appears in Collections:Informatics Section
# (joint) last author

Files in This Item:
File Description Status SizeFormat
isami2010_che.pdfMain article Published 76KbAdobe PDFView/Open Request a copy

These files are only available to some KU Leuven Association staff members

 




All items in Lirias are protected by copyright, with all rights reserved.

© Web of science