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.
Extracting human gait signatures by body segment properties
01.01.2002
381822 byte
Aufsatz (Konferenz)
Elektronische Ressource
Englisch
Extracting Human Gait Signatures by Body Segment Properties
British Library Conference Proceedings | 2002
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