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Extended Model-Based Automatic Gait Recognition of Walking and Running

  • Chew-Yean Yam
  • Mark S. Nixon
  • John N. Carter
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 2091)

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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References

  1. 1.
    M.P. Murray, A.B. Drought, and R.C. Kory. Walking Pattern of Normal Men. J. Bone and Joint Surgery, 46-A(2), 335–360, 1964.Google Scholar
  2. 2.
    L. Bianchi, D. Angeloni, and F. Lacquaniti, Individual characteristics of human walking mechanics, Pflügers Arch-Eur J Physiol, 436, 343–356, 1998.CrossRefGoogle Scholar
  3. 3.
    S.A. Niyogi and E.H. Adelson. Analyzing and Recognizing Walking Figures in XYT. Proc. IEEE Comp. Soc. Conf. on Comp. Vision and Patt. Recog., 469–474, 1994.Google Scholar
  4. 4.
    H. Murase and R. Sakai. Moving Object Recognition in Eigenspace Representation: Gait Analysis and Lip Reading. Patt. Recog. Letters, 17, 156–162, 1996.Google Scholar
  5. 5.
    J. Little and J. Boyd, Recognizing People by Their Gait: The Shape of Motion. MIT Press Journal-Videre, 1(2), 1–32, 1998.Google Scholar
  6. 6.
    P.S. Huang, C.J. Harris, and M.S. Nixon. Human gait recognition in canonical space using temporal templates. IEE Proc.: VISP, 146(2), 93–100, 1999.CrossRefGoogle Scholar
  7. 7.
    D. Cunado, M.S. Nixon and J.N. Carter. Automatic Gait Recognition via Model-Based Evidence Gathering. AutoID Proc.: Workshop on Auto. Identification Adv. Tech., 27–30, October 1999.Google Scholar
  8. 8.
    L. Li, E.C.H. van den Bogert, G.E. Caldwell, R.E.A. van Emmerik, and J. Hamill, Coordination Patterns of Walking and Running at Similar Speed and Stride Frequency, Human Mov. Sc., 18, 67–85, 1999.CrossRefGoogle Scholar
  9. 9.
    I. Stewart. Symmetry-breaking cascades and the dynamics of morphogenesis and behaviour. Sc. Progress, 82(1), 9–48,1999.Google Scholar

Copyright information

© Springer-Verlag Berlin Heidelberg 2001

Authors and Affiliations

  • Chew-Yean Yam
    • 1
  • Mark S. Nixon
    • 1
  • John N. Carter
    • 1
  1. 1.Department of Electronics and Computer ScienceUniversity of SouthamptonSouthamptonUK

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