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Automatic recognition by gait: progress and prospects

Mark S. Nixon (Department of Electronics and Computer Science, University of Southampton, UK)
John N. Carter (Department of Electronics and Computer Science, University of Southampton, UK)
Michael G. Grant (Department of Electronics and Computer Science, University of Southampton, UK)
Layla Gordon (Department of Electronics and Computer Science, University of Southampton, UK)
James B. Hayfron‐Acquah (Department of Electronics and Computer Science, University of Southampton, UK)

Sensor Review

ISSN: 0260-2288

Article publication date: 1 December 2003

636

Abstract

Recognising people by their gait is a biometric of increasing interest. Recently, analysis has progressed from evaluation by few techniques on small databases with encouraging results to large databases and still with encouraging results. The potential of gait as a biometric was encouraged by the considerable amount of evidence available, especially in biomechanics and literature. This potential motivated the development of new databases, new technique and more rigorous evaluation procedures. We adumbrate some of the new techniques we have developed and their evaluation to gain insight into the potential for gait as a biometric. In particular, we consider implications for the future. Our work, as with others, continues to provide encouraging results for gait as a biometric, let alone as a human identifier, with a special regard for recognition at a distance.

Keywords

Citation

Nixon, M.S., Carter, J.N., Grant, M.G., Gordon, L. and Hayfron‐Acquah, J.B. (2003), "Automatic recognition by gait: progress and prospects", Sensor Review, Vol. 23 No. 4, pp. 323-331. https://doi.org/10.1108/02602280310496845

Publisher

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MCB UP Ltd

Copyright © 2003, MCB UP Limited

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