By Topic

Device-free user localization utilizing artificial neural networks and passive RFID

Sign In

Cookies must be enabled to login.After enabling cookies , please use refresh or reload or ctrl+f5 on the browser for the login options.

Formats Non-Member Member
$33 $13
Learn how you can qualify for the best price for this item!
Become an IEEE Member or Subscribe to
IEEE Xplore for exclusive pricing!
close button

puzzle piece

IEEE membership options for an individual and IEEE Xplore subscriptions for an organization offer the most affordable access to essential journal articles, conference papers, standards, eBooks, and eLearning courses.

Learn more about:

IEEE membership

IEEE Xplore subscriptions

4 Author(s)
Benjamin Wagner ; Inst. of Appl. Microelectron. & Comput. Eng., Univ. of Rostock, Rostock, Germany ; Dirk Timmermann ; Gernot Ruscher ; Thomas Kirste

User localization information is an important data source for ubiquitous assistance in smart environments. This paper proposes a device-free passive user localization approach based on room-equipped passive RFID instead of battery powered hardware. Based on this approach recent work tried to formulate physical model based localization algorithms. These approaches suffer from their inability of integrating environmental changes like the deployment under moving experimental conditions. On the other hand most model based approaches have a certain trade-off between a high localization precision and computational complexity. In this work we try to formulate a training based approach to the problems with the help of artificial neural networks. Special representatives like multi-layered perceptrons are applied to a wide range of problems where it is difficult to model the underlying physical condition completely. We present a perceptron implementation for the purpose of user localization and conduct first results with different model parameters and functions.

Published in:

Ubiquitous Positioning, Indoor Navigation, and Location Based Service (UPINLBS), 2012

Date of Conference:

3-4 Oct. 2012