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Mobile Architecture for Identifying Users in Ubiquitous Environments Focused on Percontrol
Authors:
Valderi Leithardt
Guilherme Borges
Carlos Rolim
Anubis Rossetto
Ivan Carrera
David Nunes
Jorge Silva
Claudio Geyer
Keywords: Ubiquitous Communication; Intelligent applications; Artificial Neural Networks.
Abstract:
In pervasive and ubiquitous environments, the pro- cess of identifying users can be done using various devices and techniques like radio frequency identifiers (RFID), bluetooth devices, smartphones and others. In this context, it is necessary to implement management techniques and control of these environments, as well as customize the environment characteristics to meet user preferences. In this work, we present a solution for control and manage various users, devices and environments. We base our research on Percontrol (a system for pervasive user management), which was only intended to identify users using Wi-Fi, and now it is capable of managing temperature, luminosity and other preferences, measured by a Wireless Sensor Network (WSN) embedded to Percontrol, and the data treatment is done by a Artificial Neural Network (ANN).
Pages: 145 to 151
Copyright: Copyright (c) IARIA, 2013
Publication date: September 29, 2013
Published in: conference
ISSN: 2308-4278
ISBN: 978-1-61208-289-9
Location: Porto, Portugal
Dates: from September 29, 2013 to October 3, 2013