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...

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Bibliographic Details
Main Authors: Ali Kargarandehkordi, Matti Kaisti, Peter Washington
Format: Article
Language:English
Published: MDPI AG 2024-02-01
Series:Applied Sciences
Subjects:
Online Access:https://www.mdpi.com/2076-3417/14/4/1337