Lakany, H. (2003) Extracting diagnostic gait signatures for cerebral palsy patients. Gait and Posture, 18 (Supple). p. 31. ISSN 0966-6362
Full text not available in this repository. (Request a copy from the Strathclyde author)Official URL: http://dx.doi.org/10.1016/S0966-6362(03)00073-0
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: | 8259 |
| Notes: | ESMAC Abstracts. Gait & Posture. Volume 18, Supplement 2, October 2003, Pages 80-123 |
| Keywords: | human locomotion, gait analysis, feature extraction, self-organising maps, diagnostic signatures, Bioengineering |
| Subjects: | Technology > Engineering (General). Civil engineering (General) > Bioengineering |
| Department: | Faculty of Engineering > Bioengineering |
| Related URLs: | |
| Depositing user: | Strathprints Administrator |
| Date Deposited: | 05 Aug 2009 14:39 |
| Last modified: | 04 Oct 2012 12:29 |
| URI: | http://strathprints.strath.ac.uk/id/eprint/8259 |
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