A Survey on Emotion Detection Using EEG Signals

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


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.


EEG SVM Valence arousal Emotions Physiological signals 



Asymmetry Index


Database for Emotion Analysis Using Physiological Signals






Elman Recurrent Neural Network


Galvanic Skin Response


K-Nearest Neighbor




Power Spectral Density


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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