University of Surrey

Test tubes in the lab Research in the ATI Dance Research

Chaotic characterisation of frontal normal gait for human identification

Lee, TKM, Belkhatir, M, Lee, PA, Loe, KF and Sanei, S (2007) Chaotic characterisation of frontal normal gait for human identification European Signal Processing Conference. pp. 743-747.

[img] Text
Restricted to Repository staff only
Available under License : See the attached licence file.

Download (4MB)
[img] Text (licence)
Restricted to Repository staff only

Download (33kB)


Human recognition using gait features in predominantly frontal-normal motion has been described in this paper. Compared to current methods for gait identification, this allows convenient combination of other biometrics using a single camera. We analyse how this motion yields more dynamic information, allowing us to characterise gait in a new way, using nonlinear dynamics of time series normally used in chaos theory. Using chaotic measures to identify humans by their gait is a significant precedent. Phase-space analysis of trajectories of a set of Moving Light Displays (MLDs) provides sufficient information for identification of people by their gait. A number of experiments has been set up to demonstrate the viability of this approach which contribute to the relatively unexplored area of fusion of face with gait. This provides a more robust identification scheme. © 2007 EURASIP.

Item Type: Article
Authors :
Lee, TKM
Belkhatir, M
Lee, PA
Loe, KF
Sanei, S
Date : 2007
Depositing User : Symplectic Elements
Date Deposited : 28 Mar 2017 14:13
Last Modified : 31 Oct 2017 14:55

Actions (login required)

View Item View Item


Downloads per month over past year

Information about this web site

© The University of Surrey, Guildford, Surrey, GU2 7XH, United Kingdom.
+44 (0)1483 300800