IDEAS home Printed from https://ideas.repec.org/a/taf/gcmbxx/v15y2012i6p627-644.html
   My bibliography  Save this article

Feature selection based on a fuzzy complementary criterion: application to gait recognition using ground reaction forces

Author

Listed:
  • S. Moustakidis
  • J. Theocharis
  • G. Giakas

Abstract

An efficient wavelet-based feature selection (FS) method is proposed in this paper for subject recognition using ground reaction force measurements. Our approach relies on a local fuzzy evaluation measure with respect to patterns that reveal the adequacy of data coverage for each feature. Furthermore, FS is driven by a fuzzy complementary criterion (FuzCoC) which assures that those features are iteratively introduced, providing the maximum additional contribution with regard to the information content given by the previously selected features. On the basis of the principles of FuzCoC, we develop two novel techniques. At Stage 1, wavelet packet (WP) decomposition of gaits is accomplished to obtain a set of discriminating frequency sub-bands. A computationally simple FS method is then applied at Stage 2, providing a compact set of powerful and complementary features, from WP coefficients. The quality of our approach is validated via comparative analysis against existing methods on gait recognition.

Suggested Citation

  • S. Moustakidis & J. Theocharis & G. Giakas, 2012. "Feature selection based on a fuzzy complementary criterion: application to gait recognition using ground reaction forces," Computer Methods in Biomechanics and Biomedical Engineering, Taylor & Francis Journals, vol. 15(6), pages 627-644.
    • Handle: RePEc:taf:gcmbxx:v:15:y:2012:i:6:p:627-644
    DOI: 10.1080/10255842.2011.554408
    as

    Download full text from publisher

    File URL: http://hdl.handle.net/10.1080/10255842.2011.554408
    Download Restriction: Access to full text is restricted to subscribers.
    File URL: https://libkey.io/10.1080/10255842.2011.554408?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    More about this item

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:taf:gcmbxx:v:15:y:2012:i:6:p:627-644. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no bibliographic references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Chris Longhurst (email available below). General contact details of provider: http://www.tandfonline.com/gcmb .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.