Colombian Sign Language Interpretation Model using Artificial Intelligence

Colombian Sign Language Interpretation Model using Artificial Intelligence

In this work, two interpretation models of Colombian Sign Language (CSL) are presented, using static and dynamic methods that employ artificial intelligence. The CRISP-DM methodology was used as a reference, creating a database with videos from seventy non-expert participants, being preprocessed and...

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Bibliografische gegevens
Hoofdauteurs: Muñoz-Galindez, Jader Alejandro, Vargas-Cañas, Rubiel
Formaat: Online
Taal:spa
Gepubliceerd in: Universidad Pedagógica y Tecnológica de Colombia 2023
Onderwerpen:
colombian sign language;
CNN;
LSTM;
CRISP-DM
lengua de señas colombiano;
Online toegang:https://revistas.uptc.edu.co/index.php/investigacion_duitama/article/view/16840

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