Speed-independent gait identification for mobile devices

Bailador del Pozo, Gonzalo and Sánchez Ávila, Carmen and Santos Sierra, Alberto de and Guerra Casanova, Javier (2012). Speed-independent gait identification for mobile devices. "International Journal of Pattern Recognition and Artificial Intelligence", v. 26 (n. 8); pp. 126001301-126001313. ISSN 0218-0014. https://doi.org/10.1142/S0218001412600130.

Description

Title: Speed-independent gait identification for mobile devices
Author/s:
  • Bailador del Pozo, Gonzalo
  • Sánchez Ávila, Carmen
  • Santos Sierra, Alberto de
  • Guerra Casanova, Javier
Item Type: Article
Título de Revista/Publicación: International Journal of Pattern Recognition and Artificial Intelligence
Date: December 2012
ISSN: 0218-0014
Volume: 26
Subjects:
Freetext Keywords: Biometrics, gait, accelerometer, dynamic time warping
Faculty: Centro de Domótica Integral (CeDInt) (UPM)
Department: Aeronaves y Vehículos Espaciales
Creative Commons Licenses: Recognition - No derivative works - Non commercial

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Abstract

Due to the intensive use of mobile phones for diferent purposes, these devices usually contain condential information which must not be accessed by another person apart from the owner of the device. Furthermore, the new generation phones commonly incorporate an accelerometer which may be used to capture the acceleration signals produced as a result of owner s gait. Nowadays, gait identication in basis of acceleration signals is being considered as a new biometric technique which allows blocking the device when another person is carrying it. Although distance based approaches as Euclidean distance or dynamic time warping have been applied to solve this identication problem, they show di±culties when dealing with gaits at diferent speeds. For this reason, in this paper, a method to extract an average template from instances of the gait at diferent velocities is presented. This method has been tested with the gait signals of 34 subjects while walking at diferent motion speeds (slow, normal and fast) and it has shown to improve the performance of Euclidean distance and classical dynamic time warping.

More information

Item ID: 32346
DC Identifier: http://oa.upm.es/32346/
OAI Identifier: oai:oa.upm.es:32346
DOI: 10.1142/S0218001412600130
Official URL: http://www.worldscientific.com/doi/abs/10.1142/S0218001412600130
Deposited by: Memoria Investigacion
Deposited on: 13 Apr 2015 18:42
Last Modified: 13 Apr 2015 18:42
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