We describe a new method for extracting human gait signatures by topological analysis, using properties of body segments. The gait signature is extracted in three stages: extraction of the body contour by a thresholding and morphological filter; extraction of the leg angles based on regression analysis of contour data; finding the body points guided by known anatomical knowledge. A 2D stick figure is used to represent the human body model and trajectory-based kinematic features are extracted from the image sequences for describing and analyzing the gait motion. Also, the inherent periodicity in gait motion is analyzed by delay coordinates and a phase-space portrait. The utility of the proposed method is demonstrated in experiments, with comparison to medical data.


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    Title :

    Extracting human gait signatures by body segment properties


    Contributors:
    Jang-Hee Yoo, (author) / Nixon, M.S. (author) / Harris, C.J. (author)


    Publication date :

    2002-01-01


    Size :

    381822 byte




    Type of media :

    Conference paper


    Type of material :

    Electronic Resource


    Language :

    English



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