Desarrollo e implementación de un sistema de identificación de signos de la lengua de señas mexicana basado en redes neuronales y el sistema embebido Jetson Nano

Fuente: Universidad Tecnológica de la Mixteca

En el presente trabajo de tesis se muestran las etapas para el desarrollo de una red neuronal convolucional (RNC) la cual permite clasificar en tiempo real signos de la lengua de señas Mexicana. Se pueden identificar cuatro partes principales en esta investigación; la recolección, limpieza y tratami...

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Bibliographic Details
Main Author:	Estévez Acosta, Alfredo A.
Format:	Tesis de Maestría
Language:	Spanish
Published:	Universidad Tecnológica de la Mixteca 2022
Subjects:	Redes Neuronales Convolucionales; K vecinos cercanos; Lengua Señas Mexicana 7 INGENIERIA Y TECNOLOGIA
Online Access:	Acceder al recurso
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http://repositorio.utm.mx/handle/123456789/411

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