Emotion Recognition by Correlating Facial Expressions and EEG Analysis

Emotion Recognition by Correlating Facial Expressions and EEG Analysis

Emotion recognition is a fundamental task that any affective computing system must perform to adapt to the user’s current mood. The analysis of electroencephalography signals has gained notoriety in studying human emotions because of its non-invasive nature. This paper presents a two-stage deep lear...

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Bibliographic Details
Main Authors: Adrian R. Aguiñaga, Daniel E. Hernandez, Angeles Quezada, Andrés Calvillo Téllez
Format: Article
Language:English
Published: MDPI AG 2021-07-01
Series:Applied Sciences
Subjects:
affective computing
EEG
emotions
FER
machine learning
neural networks
Online Access:https://www.mdpi.com/2076-3417/11/15/6987

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https://www.mdpi.com/2076-3417/11/15/6987

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