Gramatical facial expression recognition with artificial intelligence tools

Elena Acevedo, Antonio Acevedo, Federico Felipe

Producción científica: Capítulo del libro/informe/acta de congresoContribución a la conferenciarevisión exhaustiva

2 Citas (Scopus)

Resumen

The face is the reflection of our emotions. We can guess the state of mind of a person by observing the face. In this paper, we applied an Associative Model algorithm to recognized Grammatical Facial Expressions. We used the dataset of the Brazilian sign language (Libras) system. The model we applied was a Morphological Associative Memory. We implemented a memory for each expression. The average of recognition for the same expression was of 98.89%. When we compare one expression with the others, we obtained a 98.59%, which means that our proposal confuses few expressions.

Idioma originalInglés
Título de la publicación alojadaIntelligent Computing - Proceedings of the 2018 Computing Conference
EditoresKohei Arai, Supriya Kapoor, Rahul Bhatia
EditorialSpringer Verlag
Páginas592-605
Número de páginas14
ISBN (versión impresa)9783030011734
DOI
EstadoPublicada - 2019
EventoComputing Conference, 2018 - London, Reino Unido
Duración: 10 jul. 201812 jul. 2018

Serie de la publicación

NombreAdvances in Intelligent Systems and Computing
Volumen858
ISSN (versión impresa)2194-5357

Conferencia

ConferenciaComputing Conference, 2018
País/TerritorioReino Unido
CiudadLondon
Período10/07/1812/07/18

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