Extracting a diagnostic gait signature
Lakany, Heba (2008) Extracting a diagnostic gait signature. Pattern Recognition, 41 (5). pp. 1627-1637. ISSN 0031-3203 (https://doi.org/10.1016/j.patcog.2007.11.004)
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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.
ORCID iDs
Lakany, Heba ORCID: https://orcid.org/0000-0003-3079-0392;-
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Item type: Article ID code: 18410 Dates: DateEventMay 2008PublishedSubjects: Technology > Engineering (General). Civil engineering (General) > Bioengineering
Technology > Engineering (General). Civil engineering (General)Department: Faculty of Engineering > Bioengineering Depositing user: Ms Ashley Urie Date deposited: 26 Mar 2010 14:22 Last modified: 11 Nov 2024 09:19 URI: https://strathprints.strath.ac.uk/id/eprint/18410