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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Autores:

Tipo de recurso:

http://purl.org/coar/resource_type/c_6739

Fecha de publicación:

2023

Institución:

Universidad Pedagógica y Tecnológica de Colombia

Repositorio:

RiUPTC: Repositorio Institucional UPTC

Idioma:

spa

OAI Identifier:

oai:repositorio.uptc.edu.co:001/10432

Acceso en línea:

https://revistas.uptc.edu.co/index.php/investigacion_duitama/article/view/16840
https://repositorio.uptc.edu.co/handle/001/10432

Palabra clave:

colombian sign language;
CNN;
LSTM;
CRISP-DM
lengua de señas colombiano;
CNN;
LSTM;
CRISP-DM

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Derechos de autor 2023 Revista de Investigación, Desarrollo e Innovación