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Automatic recognition by gait: progress and prospects

Automatic recognition by gait: progress and prospects
Automatic recognition by gait: progress and prospects
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.
gait, biometrics, database, symmetry, moments, area
323-331
Nixon, Mark S.
2b5b9804-5a81-462a-82e6-92ee5fa74e12
Carter, John N.
e05be2f9-991d-4476-bb50-ae91606389da
Grant, Michael G.
835c848a-f26c-4474-b0f7-8465d44bdacf
Gordon, Layla G.
8f443e3d-b14b-48c1-80fd-33bb7f08003d
Hayfron-Acquah, James B.
bffee551-1655-495a-92fd-8c548dcef084
Nixon, Mark S.
2b5b9804-5a81-462a-82e6-92ee5fa74e12
Carter, John N.
e05be2f9-991d-4476-bb50-ae91606389da
Grant, Michael G.
835c848a-f26c-4474-b0f7-8465d44bdacf
Gordon, Layla G.
8f443e3d-b14b-48c1-80fd-33bb7f08003d
Hayfron-Acquah, James B.
bffee551-1655-495a-92fd-8c548dcef084

Nixon, Mark S., Carter, John N., Grant, Michael G., Gordon, Layla G. and Hayfron-Acquah, James B. (2003) Automatic recognition by gait: progress and prospects. Sensor Review, 23 (4), 323-331.

Record type: Article

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.

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Published date: 2003
Keywords: gait, biometrics, database, symmetry, moments, area
Organisations: Southampton Wireless Group

Identifiers

Local EPrints ID: 258441
URI: http://eprints.soton.ac.uk/id/eprint/258441
PURE UUID: 86c0681f-38ab-4b37-b938-149c420e7eb3
ORCID for Mark S. Nixon: ORCID iD orcid.org/0000-0002-9174-5934

Catalogue record

Date deposited: 05 Nov 2003
Last modified: 19 Nov 2019 02:04

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Contributors

Author: Mark S. Nixon ORCID iD
Author: John N. Carter
Author: Michael G. Grant
Author: Layla G. Gordon
Author: James B. Hayfron-Acquah

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