Toward 3-D gesture recognition

    Authors

    J. Davis;M. Shah

    Comments

    Authors: contact us about adding a copy of your work at STARS@ucf.edu

    Abbreviated Journal Title

    Int. J. Pattern Recognit. Artif. Intell.

    Keywords

    motion estimation; hand tracking; gesture recognition; Computer Science, Artificial Intelligence

    Abstract

    This paper presents a glove-free method for tracking hand movements using a set of 3-D models. In this approach, the hand is represented by five cylindrical models which are fit to the third phalangeal segments of the fingers. Six 3-D motion parameters for each model are calculated that correspond to the movement of the fingertips in the image plane. Trajectories of the moving models are then established to show the 3-D nature of the hand motion.

    Journal Title

    International Journal of Pattern Recognition and Artificial Intelligence

    Volume

    13

    Issue/Number

    3

    Publication Date

    1-1-1999

    Document Type

    Article

    Language

    English

    First Page

    381

    Last Page

    393

    WOS Identifier

    WOS:000080459000006

    ISSN

    0218-0014

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