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Please use this identifier to cite or link to this item: http://hdl.handle.net/123456789/5192

Title: Notions of Symmetry in Human Movement for Recognition
Authors: Hayfron-Acquah, J.B.
Nixon, M.S.
Carter, J.N.
Keywords: Biometric
Issue Date: Apr-2009
Publisher: Journal of Science and Technology
Citation: Journal of Science and Technology, Vol. 29 No. 1, 2009 pp 116-129
Abstract: Notions of symmetry are powerful for understanding as they explore relationships in nature for analysis. We describe how symmetry analysis can he used to recognize people by their gait. This approach is reinforced by the view from psychology that human gait is a symmetrical pattern of motion and that symmetrical properties of human movement can indeed be used for human gait analysis. Here, we use gait as a vehicle to investigate both the symmetry of moving objects as provided in our new spatial and spatio-temporal symmetry analyses. We apply these symmetry extractions to a number of databases to demonstrate their potency. A performance analysis shows that using symmetry for gait recognition enjoys practical advantages such as relative immunity to noise, ability to handle missing information and the capability to handle occlusion. The results show that the symmetrical properties of human gait appear to be unique and can indeed be used for analysis and for recognition with recognition rates exceeding 90%. Best performance is achieved by a spatio-temporal opera┬Čtor, reflecting the view that recognition by gait is not just from body shape, but also by the way the body moves.
Description: Article published in the Journal of Science and Technology, Vol. 29 No. 1, 2009 pp 116-129
URI: http://hdl.handle.net/123456789/5192
Appears in Collections:Journal of Science and Technology 2000-

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