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Gramatical Facial Expression Recognition with Artificial Intelligence Tools

  • Elena AcevedoEmail author
  • Antonio Acevedo
  • Federico Felipe
Conference paper
Part of the Advances in Intelligent Systems and Computing book series (AISC, volume 858)

Abstract

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.

Keywords

Computational intelligence Associative memories Facial expression Pattern recognition 

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Copyright information

© Springer Nature Switzerland AG 2019

Authors and Affiliations

  • Elena Acevedo
    • 1
    Email author
  • Antonio Acevedo
    • 1
  • Federico Felipe
    • 1
  1. 1.Instituto Politécnico NacionalMexico CityMexico

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