Reconocimiento de caracteres del alfabeto dactilológico mediante redes neuronales artificiales: Un enfoque experimental

Authors

  • Diego Auquilla Universidad de Cuenca
  • Kenneth Palacio-Baus
  • Víctor Saquicela

Abstract

RESUMEN
En este artículo se presenta el desarrollo de un sistema orientado a facilitar la comunicación de aquellas personas con discapacidad auditiva, del habla o ambas; y que se ven obligados a utilizar otras formas de comunicación como el uso del lenguaje de señas. Para solventar el problema de comprensión de este lenguaje, se propone un enfoque experimental de reconocimiento de caracteres del alfabeto dactilológico mediante la adquisición y procesamiento de imágenes digitales, y la aplicación de un clasificador basado Redes Neuronales Artificiales (RNA).
Palabras clave: Dactilología, lenguaje de señas, Redes Neuronales Artificiales, clasificador.

ABSTRACT
This article presents the development of a system aimed to aid people with speech and/or communication disabilities, who must use the sign language and the dactilologic alphabet in order to transmit their ideas. To assist others in understanding such language, we present an experimental approach for sign language characters recognition through digital image acquisition and processing techniques and the use of a Neural Network based classifier.
Keywords: Dactylology, sign language, Artificial Neural Networks, classifier.

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References

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Published

2015-12-05

How to Cite

Auquilla, D., Palacio-Baus, K., & Saquicela, V. (2015). Reconocimiento de caracteres del alfabeto dactilológico mediante redes neuronales artificiales: Un enfoque experimental. Maskana, 6(Supl.), 45–54. Retrieved from https://publicaciones.ucuenca.edu.ec/ojs/index.php/maskana/article/view/697

Issue

Vol. 6 (2015): Proceedings of the 3rd. Ecuadorian Congress of Information and Communication Technologies - TIC.EC 2015

Section

Actas

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