Gramatical facial expression recognition with artificial intelligence tools

Elena Acevedo, Antonio Acevedo, Federico Felipe

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

    Abstract

    © Springer Nature Switzerland AG 2019. 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.
    Original languageAmerican English
    Title of host publicationGramatical facial expression recognition with artificial intelligence tools
    Pages592-605
    Number of pages531
    ISBN (Electronic)9783030011734
    DOIs
    StatePublished - 1 Jan 2019
    EventAdvances in Intelligent Systems and Computing -
    Duration: 1 Jan 2019 → …

    Publication series

    NameAdvances in Intelligent Systems and Computing
    Volume858
    ISSN (Print)2194-5357

    Conference

    ConferenceAdvances in Intelligent Systems and Computing
    Period1/01/19 → …

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