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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Autori principali:	In-seop Na, Asma Aldrees, Abeer Hakeem, Linda Mohaisen, Muhammad Umer, Dina Abdulaziz AlHammadi, Shtwai Alsubai, Nisreen Innab, Imran Ashraf
Natura:	Artigo
Lingua:	Inglês
Pubblicazione:	Frontiers Media S.A. 2024-12-01
Serie:	Frontiers in Computational Neuroscience
Soggetti:	facial emotion recognition UNET EfficientNet transfer learning image processing
Accesso online:	https://www.frontiersin.org/articles/10.3389/fncom.2024.1485121/full
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