Title

Toward 3-D Gesture Recognition

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.

Publication Date

1-1-1999

Publication Title

International Journal of Pattern Recognition and Artificial Intelligence

Volume

13

Issue

3

Number of Pages

381-393

Document Type

Article

Personal Identifier

scopus

DOI Link

https://doi.org/10.1142/S0218001499000227

Socpus ID

0032660759 (Scopus)

Source API URL

https://api.elsevier.com/content/abstract/scopus_id/0032660759

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