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Extended Model-Based Automatic Gait Recognition of Walking and Running

Extended Model-Based Automatic Gait Recognition of Walking and Running
Extended Model-Based Automatic Gait Recognition of Walking and Running
Gait is an emerging biometric. Current systems are either holistic or feature based and have been demonstrated to be able to recognise people by the way they walk. This paper describes a new system that extends the feature based approach to recognise people by the way they walk and run. A bilateral symmetric and coupled oscillator is the key concept that underlies this model, which includes both the upper and the lower leg. The gait signature is created from the phase-weighted magnitude of the lower order Fourier components of both the thigh and knee rotation. This technique has proved to be capable of recognising people when walking or running and future work intends to develop invariance attributes of walking or running for the new description.
278-283
Yam, ChewYean
79143266-5774-4a7f-be45-0f3ff669acca
Nixon, Mark S.
2b5b9804-5a81-462a-82e6-92ee5fa74e12
Carter, John N.
e05be2f9-991d-4476-bb50-ae91606389da
Yam, ChewYean
79143266-5774-4a7f-be45-0f3ff669acca
Nixon, Mark S.
2b5b9804-5a81-462a-82e6-92ee5fa74e12
Carter, John N.
e05be2f9-991d-4476-bb50-ae91606389da

Yam, ChewYean, Nixon, Mark S. and Carter, John N. (2001) Extended Model-Based Automatic Gait Recognition of Walking and Running. Proceedings of 3rd Int. Conf. on Audio- and Video-Based Biometric Person Authentication, AVBPA 2001. pp. 278-283 .

Record type: Conference or Workshop Item (Other)

Abstract

Gait is an emerging biometric. Current systems are either holistic or feature based and have been demonstrated to be able to recognise people by the way they walk. This paper describes a new system that extends the feature based approach to recognise people by the way they walk and run. A bilateral symmetric and coupled oscillator is the key concept that underlies this model, which includes both the upper and the lower leg. The gait signature is created from the phase-weighted magnitude of the lower order Fourier components of both the thigh and knee rotation. This technique has proved to be capable of recognising people when walking or running and future work intends to develop invariance attributes of walking or running for the new description.

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More information

Published date: June 2001
Venue - Dates: Proceedings of 3rd Int. Conf. on Audio- and Video-Based Biometric Person Authentication, AVBPA 2001, 2001-05-31
Organisations: Southampton Wireless Group

Identifiers

Local EPrints ID: 256130
URI: http://eprints.soton.ac.uk/id/eprint/256130
PURE UUID: 165c2f31-28a2-43c9-9570-719d4a543593
ORCID for Mark S. Nixon: ORCID iD orcid.org/0000-0002-9174-5934

Catalogue record

Date deposited: 20 Nov 2003
Last modified: 30 Jan 2020 01:24

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Contributors

Author: ChewYean Yam
Author: Mark S. Nixon ORCID iD
Author: John N. Carter

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