Acceleration Axis Selection in Biometric Technique Based on Gesture Recognition

Guerra Casanova, Javier and Sánchez Ávila, Carmen and Santos Sierra, Alberto de and Bailador del Pozo, Gonzalo and Jara Vera, Vicente (2010). Acceleration Axis Selection in Biometric Technique Based on Gesture Recognition. In: "2010 Sixth International Conference on Intelligent Information Hiding and Multimedia Signal Processing (IIH-MSP)", 15/10/2010 - 17/10/2010, Darmstadt, Alemania. ISBN 978-1-4244-8378-5.

Description

Title: Acceleration Axis Selection in Biometric Technique Based on Gesture Recognition
Author/s:
  • Guerra Casanova, Javier
  • Sánchez Ávila, Carmen
  • Santos Sierra, Alberto de
  • Bailador del Pozo, Gonzalo
  • Jara Vera, Vicente
Item Type: Presentation at Congress or Conference (Article)
Event Title: 2010 Sixth International Conference on Intelligent Information Hiding and Multimedia Signal Processing (IIH-MSP)
Event Dates: 15/10/2010 - 17/10/2010
Event Location: Darmstadt, Alemania
Title of Book: Proceedings of the 2010 Sixth International Conference on Intelligent Information Hiding and Multimedia Signal Processing (IIH-MSP)
Date: November 2010
ISBN: 978-1-4244-8378-5
Subjects:
Faculty: E.T.S.I. Telecomunicación (UPM)
Department: Matemática Aplicada a las Tecnologías de la Información [hasta 2014]
Creative Commons Licenses: Recognition - No derivative works - Non commercial

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Abstract

This article proposes a biometric technique based on gesture recognition performed directly in a mobile device embedding an accelerometer. As time consumption is an essential requirement, this article aims to discover the most distinctive acceleration axis information in order to find the best strategy considering EER and consumed time. Best EER result of 2.5% has been obtained when the information of accelerations on each of the three axis is analyzed. When reducing the information inspected to only two or one acceleration axis signals, EER values are 2.98% and 4.34% respectively. Preprocessing various acceleration signals by calculating their magnitude outcomes with higher EER values. All this work has been developed from a database of 34 individuals who have performed their identifying gestures, and three falsifiers who have attempted to forge each original in-air signatures from studying video records.

More information

Item ID: 9376
DC Identifier: http://oa.upm.es/9376/
OAI Identifier: oai:oa.upm.es:9376
Official URL: http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=5635757&tag=1
Deposited by: Memoria Investigacion
Deposited on: 11 Nov 2011 09:42
Last Modified: 20 Apr 2016 17:48
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