A hand shape recognition and its application to a GUI support system for a sight handicapped person

Author

Takaoka, Makoto ; Abiko, Ryo ; Ishii, Rokuya

Author_Institution

Div. of Electr. & Comput. Eng., Yokohama Nat. Univ., Japan

Volume

1

fYear

2000

fDate

2000

Firstpage

166

Abstract

This paper presents the algorithms for hand-shape recognition and applies it to a GUI support system for a sight handicapped person. We propose two algorithms. The first algorithm is to recognize the angle of a forefinger only; and the second one is to recognize fourteen hand-shapes by using the method of skeletonization of a binary image. The former algorithm implements high speed processing to recognize hand-shapes in real time. As an application of this algorithm, we implemented a system in which the angle of a forefinger controls a reading point in a text on a screen in real time, and a text is read out with a sound synthesis software. Further, we propose an algorithm to recognize 14 types of hand-shapes to control further shapes in practice by using a binary image of the hand-shape

Keywords

computer vision; feature extraction; graphical user interfaces; handicapped aids; image recognition; real-time systems; binary image; feature extraction; graphical user interface; hand shape recognition; image processing algorithm; real time systems; sight handicapped person; skeletonization; Application software; Computer interfaces; Fingers; Graphical user interfaces; Image recognition; Real time systems; Roentgenium; Shape control; Skin; Workstations;

fLanguage

English

Publisher

ieee

Conference_Titel

Industrial Electronics Society, 2000. IECON 2000. 26th Annual Confjerence of the IEEE

Conference_Location

Nagoya

Print_ISBN

0-7803-6456-2

Type

conf

DOI

10.1109/IECON.2000.973144

Filename

973144