On Classification of the Human Emotions from Facial Thermal Images: A Case Study Based on Machine Learning

On Classification of the Human Emotions from Facial Thermal Images: A Case Study Based on Machine Learning

(1) Background: This paper intends to accomplish a comparative study and analysis regarding the multiclass classification of facial thermal images, i.e., in three classes corresponding to predefined emotional states (neutral, happy and sad). By carrying out a comparative analysis, the main goal of t...

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Bibliographic Details
Main Authors: Marius Sorin Pavel, Simona Moldovanu, Dorel Aiordachioaie
Format: Article
Language:English
Published: MDPI AG 2025-03-01
Series:Machine Learning and Knowledge Extraction
Subjects:
thermal images
emotional states recognition
machine learning
deep learning
database expansion techniques
multiclass classification
Online Access:https://www.mdpi.com/2504-4990/7/2/27
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