Emotion recognition in talking-face videos using persistent entropy and neural networks

Emotion recognition in talking-face videos using persistent entropy and neural networks

The automatic recognition of a person's emotional state has become a very active research field that involves scientists specialized in different areas such as artificial intelligence, computer vision, or psychology, among others. Our main objective in this work is to develop a novel approach,...

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Bibliographic Details
Main Authors: Eduardo Paluzo-Hidalgo, Rocio Gonzalez-Diaz, Guillermo Aguirre-Carrazana
Format: Article
Language:English
Published: AIMS Press 2022-02-01
Series:Electronic Research Archive
Subjects:
topological data analysis
persistent homology
persistent entropy
neural networks
audio-visual emotion recognition
talking-face videos
Online Access:https://www.aimspress.com/article/doi/10.3934/era.2022034?viewType=HTML

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https://www.aimspress.com/article/doi/10.3934/era.2022034?viewType=HTML

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