Acceleration Axis Selection in Biometric Technique Based on Gesture Recognition

Descripción (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.


Tipo publicación: 
Congreso
Publicado en: 
Sixth International Conference on Intelligent Information Hiding and Multimedia Signal Processing (IIH-MSP) 2010 Darmstadt, Alemania. Proceedings of the 2010 Sixth International Conference on Intelligent Information Hiding and Multimedia Signal Processing (IIH-MSP) p.p. 360-363
ISBN/ISSN: 
978-1-4244-8378-5
Biometría bioseñales y seguridad
Fecha de Publicacion: 
Octubre 2010
Autores CeDInt: