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On Measuring Gait Signatures which are Invariant to their Trajectory

On Measuring Gait Signatures which are Invariant to their Trajectory
On Measuring Gait Signatures which are Invariant to their Trajectory
Biometrics are increasingly important as a means of personal identification, and as such automatic gait analysis is emerging as one of the most promising new techniques for non-contact subject recognition. There are many problems associated with obtaining a gait signature automatically, in particular the effects of footwear, clothing and walking speed. Furthermore, laboratory studies have constrained subjects to walk in a plane normal to the camera's view and have ignored the effects of pose. Methodologies based on modeling human walking offer the opportunity to develop analytic pose compensation techniques; here we develop a new geometric correction to the measurement of the hip rotation angle, based on the known orientation to the camera, using the invariance properties of angles under geometric projections. We present experimental results showing the application of our corrections to real and synthetic walks. We also indicate that it is possible to derive the corrections from the gait data itself. As such we demonstrate that it is indeed possible, by geometric analysis, to provide invariant signatures for automatic gait analysis.
265-269
Carter, John N.
e05be2f9-991d-4476-bb50-ae91606389da
Nixon, Mark S.
2b5b9804-5a81-462a-82e6-92ee5fa74e12
Carter, John N.
e05be2f9-991d-4476-bb50-ae91606389da
Nixon, Mark S.
2b5b9804-5a81-462a-82e6-92ee5fa74e12

Carter, John N. and Nixon, Mark S. (1999) On Measuring Gait Signatures which are Invariant to their Trajectory. Measurement and Control, 32 (9), 265-269.

Record type: Article

Abstract

Biometrics are increasingly important as a means of personal identification, and as such automatic gait analysis is emerging as one of the most promising new techniques for non-contact subject recognition. There are many problems associated with obtaining a gait signature automatically, in particular the effects of footwear, clothing and walking speed. Furthermore, laboratory studies have constrained subjects to walk in a plane normal to the camera's view and have ignored the effects of pose. Methodologies based on modeling human walking offer the opportunity to develop analytic pose compensation techniques; here we develop a new geometric correction to the measurement of the hip rotation angle, based on the known orientation to the camera, using the invariance properties of angles under geometric projections. We present experimental results showing the application of our corrections to real and synthetic walks. We also indicate that it is possible to derive the corrections from the gait data itself. As such we demonstrate that it is indeed possible, by geometric analysis, to provide invariant signatures for automatic gait analysis.

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More information

Published date: November 1999
Organisations: Southampton Wireless Group

Identifiers

Local EPrints ID: 251947
URI: http://eprints.soton.ac.uk/id/eprint/251947
PURE UUID: 02abdbc2-db5f-4f21-b408-2e5ccc095372
ORCID for Mark S. Nixon: ORCID iD orcid.org/0000-0002-9174-5934

Catalogue record

Date deposited: 18 Nov 1999
Last modified: 20 Jul 2019 01:28

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