Observatorio de I+D+i UPM

Memorias de investigación
Research Publications in journals:
Speed-independent gait identification for mobile devices
Year:2013
Research Areas
  • Engineering
Information
Abstract
Due to the intensive use of mobile phones for di®erent purposes, these devices usually contain con¯dential 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 identi¯cation 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 identi¯cation problem, they show di±culties when dealing with gaits at di®erent speeds. For this reason, in this paper, a method to extract an average template from instances of the gait at di®erent velocities is presented. This method has been tested with the gait signals of 34 subjects while walking at di®erent motion speeds (slow, normal and fast) and it has shown to improve the performance of Euclidean distance and classical dynamic time warping.
International
Si
JCR
Si
Title
International Journal of Pattern Recognition and Artificial Intelligence
ISBN
0218-0014
Impact factor JCR
Impact info
Volume
Journal number
From page
126001301
To page
126001313
Month
SIN MES
Ranking
Participants
  • Autor: Gonzalo Bailador Pozo (UPM)
  • Autor: Maria del Carmen Sanchez Avila (UPM)
  • Autor: Alberto De Santos Sierra (UPM)
  • Autor: Javier Guerra Casanova (UPM)
Research Group, Departaments and Institutes related
  • Creador: Centro o Instituto I+D+i: Centro de Domótica Integral, CEDINT
  • Departamento: Matemática Aplicada a las Tecnologías de la Información
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