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4th Kuala Lumpur International Conference on Biomedical Engineering 2008 pp 122–124Cite as

A Review on Feature Extraction & Classification Techniques for Biosignal Processing (Part V: Gait Signal)

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Part of the book series: IFMBE Proceedings ((IFMBE,volume 21))

Abstract

This paper concentrates on Gait signal processing with the emphasis on Parkinsons’s Disease diagnosis. Gait is a novel biometric intended to recognize human from their walking pattern. This paper discussed in general about feature extraction and classification for Gait application. Among the factor discussed and analysed include the techniques advantages, performance and drawbacks.

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Author information

Authors and Affiliations

  1. Faculty of Computer Science and Information Technology, University of Malaya, Kuala Lumpur, Malaysia

    Emran Mohd Tamil, M. H. Noor & Z. Razak

  2. Department of Community Health, Medical Faculty, University Kebangsaan Malaysia, Selangor, Malaysia

    A. M. Tamil

Authors
  1. Emran Mohd Tamil
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  2. M. H. Noor
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  3. Z. Razak
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  4. N. M. Noor
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  5. A. M. Tamil
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Corresponding author

Correspondence to Emran Mohd Tamil .

Editor information

Editors and Affiliations

  1. Department of Biomedical Engineering Faculty of Engineering, University of Malaya, 50603, Kuala Lumpur, Malaysia

    Noor Azuan Abu Osman , Fatimah Ibrahim , Wan Abu Bakar Wan Abas , Herman Shah Abdul Rahman  & Hua-Nong Ting , , ,  & 

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© 2008 Springer-Verlag Berlin Heidelberg

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Cite this paper

Tamil, E.M., Noor, M.H., Razak, Z., Noor, N.M., Tamil, A.M. (2008). A Review on Feature Extraction & Classification Techniques for Biosignal Processing (Part V: Gait Signal). In: Abu Osman, N.A., Ibrahim, F., Wan Abas, W.A.B., Abdul Rahman, H.S., Ting, HN. (eds) 4th Kuala Lumpur International Conference on Biomedical Engineering 2008. IFMBE Proceedings, vol 21. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-69139-6_34

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  • DOI: https://doi.org/10.1007/978-3-540-69139-6_34

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-69138-9

  • Online ISBN: 978-3-540-69139-6

  • eBook Packages: EngineeringEngineering (R0)

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