Strathprints Home | Open Access | Browse | Search | User area | Copyright | Help | Library Home | SUPrimo

Extracting a diagnostic gait signature

Lakany, Heba (2008) Extracting a diagnostic gait signature. Pattern Recognition, 41 (5). pp. 1627-1637. ISSN 0031-3203

Full text not available in this repository. (Request a copy from the Strathclyde author)

Abstract

This research addresses the question of the existence of prominent diagnostic signatures for human walking extracted from kinematics gait data. The proposed method is based on transforming the joint motion trajectories using wavelets to extract spatio-temporal features which are then fed as input to a vector quantiser; a self-organising map for classification of walking patterns of individuals with and without pathology. We show that our proposed algorithm is successful in extracting features that successfully discriminate between individuals with and without locomotion impairment.

Item type: Article
ID code: 18410
Keywords: human locomotion, gait analysis, feature extraction, self-organising maps, diagnostic signatures, Bioengineering, Engineering (General). Civil engineering (General), Artificial Intelligence, Signal Processing, Software, Computer Vision and Pattern Recognition
Subjects: Technology > Engineering (General). Civil engineering (General) > Bioengineering
Technology > Engineering (General). Civil engineering (General)
Department: Faculty of Engineering > Bioengineering
Related URLs:
    Depositing user: Ms Ashley Urie
    Date Deposited: 26 Mar 2010 14:22
    Last modified: 05 Sep 2014 01:54
    URI: http://strathprints.strath.ac.uk/id/eprint/18410

    Actions (login required)

    View Item