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Vol. 16 No. 1 (2022)
Published 2022-02-20
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Copyright (c) 2022 Publicaciones e Investigación

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This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.

When the Publicaciones e Investigaciones Journal receives an original study or article from its author(s), whether by email, postal service, or the platforms available for said purpose, know that it may be published in physical or electronic formats in national or international archives, databases, or SIRES. As such, Publications and Research authorizes the reproduction and citation of said material, provided that the description of information is carried out in conformity with bibliographic norms, and mention the corresponding names, authors, article, issue, and pages. Publications and Research, in advance, expresses that the information, concepts, and methods are the responsibility of the author(s). As such, the UNAD does not have any influence whatsoever over that expressed in the manuscript.

Case Study

sign language alphabet Web application recognition of the alphabet of sign language

DOI: https://doi.org/10.22490/25394088.5638
Jose Luis Baquero Mora Externo
Daniela Alarcón Sepulveda
PDF (Spanish)

Colombian sign language is used by deaf people for their own communication. It consists of movements and expressions of
different parts of the body, especially the hands. Currently, in Colombia, there is a great lack of technology for learning and
interpretation, therefore, it is a social commitment to carry out initiatives aimed at improving the quality of life of the country's
deaf population. This article presents the process of designing and implementing a non-mobile gesture recognition system with a
web environment using Spring Tools and Angularjs technologies and with the microservice in the python language that
implements a convolutional neural network (Convolutional Neural Network) that uses Keras and Tensorflow libraries for image
recognition. The System allows visualizing the acquired images and translating them into Colombian sign language. In addition,
it has the ability to consult multimedia help and view books or products offered by the AsorHuil Foundation in the city of Neiva-Huila.

keywords: Colombian Sign Language, Python, Convolutional Neural Network, Keras, Tensorflow, Image Recognition
license

Copyright (c) 2022 Publicaciones e Investigación

Creative Commons License

This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.

When the Publicaciones e Investigaciones Journal receives an original study or article from its author(s), whether by email, postal service, or the platforms available for said purpose, know that it may be published in physical or electronic formats in national or international archives, databases, or SIRES. As such, Publications and Research authorizes the reproduction and citation of said material, provided that the description of information is carried out in conformity with bibliographic norms, and mention the corresponding names, authors, article, issue, and pages. Publications and Research, in advance, expresses that the information, concepts, and methods are the responsibility of the author(s). As such, the UNAD does not have any influence whatsoever over that expressed in the manuscript.

How to Cite
Baquero Mora, J. L., & Alarcón Sepulveda, D. . (2022). sign language alphabet Web application recognition of the alphabet of sign language: Asorhuil . Publicaciones E Investigación, 16(1). https://doi.org/10.22490/25394088.5638
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