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A Survey on Emotion Detection Using EEG Signals

  • Oshin R. JacobEmail author
  • G. Naveen SundarEmail author
Conference paper
  • 47 Downloads

Abstract

Emotions play a huge role in the social interactions between people which makes it important to study its working to make intelligent humanoids that can socialize on a higher dimension than was deemed possible in the last century. This paper gives a survey on the various approaches used to detect emotions and explains the role of the brain in generating human emotions. A review is also made on the available classifiers and latest trends used in analyzing the EEG signals.

Keywords

EEG SVM Valence arousal Emotions Physiological signals 

Abbreviations

AI

Asymmetry Index

DEAP

Database for Emotion Analysis Using Physiological Signals

ECG

Electrocardiogram

EEG

Electroencephalogram

ERNN

Elman Recurrent Neural Network

GSR

Galvanic Skin Response

KNN

K-Nearest Neighbor

PPG

Photoplethysmography

PSD

Power Spectral Density

SVM

Support Vector Machine

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Copyright information

© Springer Nature Switzerland AG 2020

Authors and Affiliations

  1. 1.Karunya Institute of Technology and SciencesCoimbatoreIndia

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