Title

Toward 3-D gesture recognition

Authors

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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