Extracting a diagnostic gait signature

Heba Lakany

    Research output: Contribution to journalArticle

    62 Citations (Scopus)

    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.
    Original languageEnglish
    Pages (from-to)1627-1637
    Number of pages11
    JournalPattern Recognition
    Volume41
    Issue number5
    DOIs
    Publication statusPublished - May 2008

    Keywords

    • human locomotion
    • gait analysis
    • feature extraction
    • self-organising maps
    • diagnostic signatures

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