Emotion Classification from Electroencephalographic Signals Using Machine Learning

Emotion Classification from Electroencephalographic Signals Using Machine Learning

Background: Emotions significantly influence decision-making, social interactions, and medical outcomes. Leveraging emotion recognition through Electroencephalography (EEG) signals offers potential advancements in personalized medicine, adaptive technologies, and mental health diagnostics. This stud...

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Bibliographic Details
Main Authors: Jesus Arturo Mendivil Sauceda, Bogart Yail Marquez, José Jaime Esqueda Elizondo
Format: Article
Language:English
Published: MDPI AG 2024-11-01
Series:Brain Sciences
Subjects:
machine learning
artificial intelligence
EEG
emotion recognition
neural networks
deep learning
Online Access:https://www.mdpi.com/2076-3425/14/12/1211
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