Personalization of Affective Models Using Classical Machine Learning: A Feasibility Study
Emotion recognition, a rapidly evolving domain in digital health, has witnessed significant transformations with the advent of personalized approaches and advanced machine learning (ML) techniques. These advancements have shifted the focus from traditional, generalized models to more individual-cent...
Main Authors: | Ali Kargarandehkordi, Matti Kaisti, Peter Washington |
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Format: | Article |
Language: | English |
Published: |
MDPI AG
2024-02-01
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Series: | Applied Sciences |
Subjects: | |
Online Access: | https://www.mdpi.com/2076-3417/14/4/1337 |
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