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...
- Autores:
- Tipo de recurso:
- Article of investigation
- 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
- Rights
- openAccess
- License
- Derechos de autor 2023 Revista de Investigación, Desarrollo e Innovación