Vol. 16 No. 1 (2022)
Published
2022-02-20
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sign language alphabet Web application recognition of the alphabet of sign language

DOI: https://doi.org/10.22490/25394088.5638
Section
Estudio de casos
Jose Luis Baquero Mora Externo
Daniela Alarcón Sepulveda

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.

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