Bioinspired Image Processing Enabled Facial Emotion Recognition Using Equilibrium Optimizer With a Hybrid Deep Learning Model

Bioinspired Image Processing Enabled Facial Emotion Recognition Using Equilibrium Optimizer With a Hybrid Deep Learning Model

Owing to the unpredictable nature of human facial expression, Facial emotion recognition (FER) from facial images becomes a tedious process. FER is a field within artificial intelligence (AI) and computer vision (CV) that concentrates on developing algorithms and technologies to interpret and analyz...

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Bibliographic Details
Main Author: Ahmad A. Alzahrani
Format: Article
Language:English
Published: IEEE 2024-01-01
Series:IEEE Access
Subjects:
Non-verbal communication
facial emotion recognition
deep learning
equilibrium optimizer
artificial intelligence
Online Access:https://ieeexplore.ieee.org/document/10415427/

Internet

https://ieeexplore.ieee.org/document/10415427/

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