FacialNet: facial emotion recognition for mental health analysis using UNet segmentation with transfer learning model

FacialNet: facial emotion recognition for mental health analysis using UNet segmentation with transfer learning model

Facial emotion recognition (FER) can serve as a valuable tool for assessing emotional states, which are often linked to mental health. However, mental health encompasses a broad range of factors that go beyond facial expressions. While FER provides insights into certain aspects of emotional well-bei...

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Bibliographic Details
Main Authors: In-seop Na, Asma Aldrees, Abeer Hakeem, Linda Mohaisen, Muhammad Umer, Dina Abdulaziz AlHammadi, Shtwai Alsubai, Nisreen Innab, Imran Ashraf
Format: Article
Language:English
Published: Frontiers Media S.A. 2024-12-01
Series:Frontiers in Computational Neuroscience
Subjects:
facial emotion recognition
UNET
EfficientNet
transfer learning
image processing
Online Access:https://www.frontiersin.org/articles/10.3389/fncom.2024.1485121/full
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https://www.frontiersin.org/articles/10.3389/fncom.2024.1485121/full

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