Visual Gesture Recognition

    Authors

    J. Davis;M. Shah

    Comments

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    Abbreviated Journal Title

    IEE Proc.-Vis. Image Signal Process.

    Keywords

    MOTION-BASED RECOGNITION; MOTION TRACKING; GESTURE INTERPRETATION; Engineering, Electrical & Electronic

    Abstract

    This paper presents a method for recognising human-hand gestures using a model based approach. A finite state machine is used to model four qualitatively distinct phases of a generic gesture. Fingertips are tracked in multiple frames to compute motion trajectories. The trajectories are then used for finding the start and stop position of the gesture. Gestures are represented as a list of vectors and are then matched to stored gesture vector models using table lookup based on vector displacements. Results are presented showing recognition of seven gestures using images sampled at 4 Hz on a SPARC-1 without any special hardware. The seven gestures are representatives for actions of left, right, up, down, grab, rotate, and stop.

    Journal Title

    Iee Proceedings-Vision Image and Signal Processing

    Volume

    141

    Issue/Number

    2

    Publication Date

    1-1-1994

    Document Type

    Article

    Language

    English

    First Page

    101

    Last Page

    106

    WOS Identifier

    WOS:A1994PA08300004

    ISSN

    1350-245X

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