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Acceleration Axis Selection in Biometric Technique Based on Gesture Recognition
Citation
Guerra Casanova, Javier and Sánchez Ávila, María del 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 |
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| Author/s: |
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| 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 |
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 |
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| DC Identifier: | https://oa.upm.es/9376/ |
| OAI Identifier: | oai:oa.upm.es:9376 |
| Official URL: | http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumb... |
| Deposited by: | Memoria Investigacion |
| Deposited on: | 11 Nov 2011 09:42 |
| Last Modified: | 10 Mar 2023 16:30 |
