Sign language to text by SVM

Author

Travieso, Carlos M. ; Alonso, Jesús B. ; Ferrer, Miguel A.

Author_Institution

Dpto. de Senales y Commun., Univ. de Las Palmas de Gran Canaria, Spain

Volume

2

fYear

2003

fDate

1-4 July 2003

Firstpage

435

Abstract

In this paper is presented an automatic deaf language to text system. The scheme is based on support vector machines (SVM) classifier using a Gaussian kernel. The input parameter vector to SVM is the Fisher score, which represents the derivate of the matrix of symbol probability in hidden Markov model (HMM). The HMM, which needs a sequence to be trained and used, is fed by the hand contour chain code. Besides, an improvement on the calculation of Fisher score is introduced by means of reducing the kernel scores variance. The error ratio classifying hand letter of the proposed system is less than 0.4% with our database.

Keywords

gesture recognition; hidden Markov models; support vector machines; text analysis; Fisher score; Gaussian kernel; SVM classifier; automatic deaf language; hand contour chain code; hidden Markov model; support vector machines; text system; Color; Computer errors; Deafness; Handicapped aids; Hidden Markov models; Image databases; Kernel; Partial response channels; Support vector machine classification; Support vector machines;

fLanguage

English

Publisher

ieee

Conference_Titel

Signal Processing and Its Applications, 2003. Proceedings. Seventh International Symposium on

Print_ISBN

0-7803-7946-2

Type

conf

DOI

10.1109/ISSPA.2003.1224907

Filename

1224907