Acceleration Axis Selection in Biometric Technique Based on Gesture Recognition

Guerra Casanova, Javier; Sánchez Ávila, Carmen; Santos Sierra, Alberto de; Bailador del Pozo, Gonzalo y Jara Vera, Vicente (2010). Acceleration Axis Selection in Biometric Technique Based on Gesture Recognition. En: "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.

Descripción

Título: Acceleration Axis Selection in Biometric Technique Based on Gesture Recognition
Autor/es:
  • Guerra Casanova, Javier
  • Sánchez Ávila, Carmen
  • Santos Sierra, Alberto de
  • Bailador del Pozo, Gonzalo
  • Jara Vera, Vicente
Tipo de Documento: Ponencia en Congreso o Jornada (Artículo)
Título del Evento: 2010 Sixth International Conference on Intelligent Information Hiding and Multimedia Signal Processing (IIH-MSP)
Fechas del Evento: 15/10/2010 - 17/10/2010
Lugar del Evento: Darmstadt, Alemania
Título del Libro: Proceedings of the 2010 Sixth International Conference on Intelligent Information Hiding and Multimedia Signal Processing (IIH-MSP)
Fecha: Noviembre 2010
ISBN: 978-1-4244-8378-5
Materias:
Escuela: E.T.S.I. Telecomunicación (UPM)
Departamento: Matemática Aplicada a las Tecnologías de la Información [hasta 2014]
Licencias Creative Commons: Reconocimiento - Sin obra derivada - No comercial

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Resumen

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.

Más información

ID de Registro: 9376
Identificador DC: http://oa.upm.es/9376/
Identificador OAI: oai:oa.upm.es:9376
URL Oficial: http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=5635757&tag=1
Depositado por: Memoria Investigacion
Depositado el: 11 Nov 2011 09:42
Ultima Modificación: 20 Abr 2016 17:48
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