NDLI: Towards behaviour inference in smart environments

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Towards behaviour inference in smart environments

Content Provider	IEEE Xplore Digital Library
Author	Antunes, M. Gomes, D. Aguiar, R.
Copyright Year	2013
Description	Author affiliation: Inst. de Telecomun., Univ. de Aveiro, Aveiro, Portugal (Antunes, M.; Gomes, D.; Aguiar, R.)
Abstract	Smart environments are physical places that are richly and invisibly populated with sensors, actuators and computational elements. The objective of such environments is to adapt themselves to its users in order to increase their comfort and usefulness. This paper proposes a platform, named APOLLO, capable of inferring behaviour rules from a smart environment and apply them to provide an intelligent space. The APOLLO platform is built upon a Service Oriented Architecture (SOA), in which collected context information is used to infer behaviour rules though statistical and machine learning techniques. The proposed platform is to be deployed in a home automation scenario.
Starting Page	1
Ending Page	8
File Size	894112
Page Count	8
File Format	PDF
ISBN	9781479900596
DOI	10.1109/CFIC.2013.6566324
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2013-05-15
Publisher Place	Portugal
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Context Temperature sensors Temperature measurement Actuators SOA Machine learning Smart environments Knowledge extraction Intelligent sensors Optimization
Content Type	Text
Resource Type	Article

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