Sign language to speech conversion

Authors

  • Jorge Alberto del Carpio Salinas Facultad de Ingeniería Eléctrica y Electrónica, Universidad Nacional de Ingeniería. Lima, Perú https://orcid.org/0000-0002-2687-4764
  • Amilcar Mescco Mizarcs Facultad de Ingeniería Eléctrica y Electrónica, Universidad Nacional de Ingeniería. Lima, Perú

DOI:

https://doi.org/10.21754/tecnia.v17i1.377

Keywords:

sign language

Abstract

This work uses the image processing methods and neural network to classify the sign language patterns, a set of function had been implemented in Matlab to achieve our goal. Our vocabulary of sign language are composed of 24 letters belong to the alphabet, this work considers only those gestures without movement, our hardware are a digital camera and a PC.

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References

[1] Forsyth, D. A., Ponce, J., "Computer Vision a Modern Approach, Editorial Prentice Hall, 2003.

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[5] Demuth, H., Beale, M., "Image Processing Toolbox for Use with MATLAB® User's Guide", Versión 3, 2002.

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[8] Demuth, H., Beale, M., "Neural Network Toolbox for Use with MATLAB®", versión 4. 2004.

[9] Freeman, J., Skapura, D.,"Redes Neuronales Aplicaciones y Técnicas de Programación", Editorial Addison-Wesley, 1991.

[10] Lagunas, M. A., dimensiones", 2003. www.cttc.es/docs/Cap VI.pdf.

[11] "Chinese, Y., Chen, Sign Language Recognition and Synthesis", Institute of Computing Technology Chinese Academy of Sciences, 2003. http://brigade.umiacs.umd.edu/iccv2003/yqch

en demo.pdf.

[12] http://www.fotodigital.tk/Tecnologia.html.

[13] The MathWorks, "Creating Graphical User Interfaces", Version 7, 2004.

Published

2007-06-01

How to Cite

[1]
J. A. del Carpio Salinas and A. Mescco Mizarcs, “Sign language to speech conversion”, TEC, vol. 17, no. 1, pp. 5–11, Jun. 2007.

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