EEG based Emotion Recognition and Classification: a Review

Authors

  • Ramprasad Kumawat Ph.D Scholar, Department of Electrical and Electronics Engineering, Mandsaur Univesity, Mandsaur, Madhya Pradesh, India Author
  • Manish Jain Associate Professor, Department of Electrical and Electronics Engineering, Mandsaur Univesity, Mandsaur, Madhya Pradesh, India. Author

DOI:

https://doi.org/10.47392/irjash.2021.131

Keywords:

SVM, EEG, Emotion, Classifier, dataset and KNN

Abstract

Emotion plays a vital role in medical research and interpersonal communication. Essentially feeling can be communicated verbally like discourse or non-verbally like outward appearance and physiological signals. A human emotion is complex physiological state which involves a physiological response, a person’s experience and behavioral change. EEG measures electric current that are generated due to neuronal activities in the human brain. This paper provides an overview of comparative study of various techniques of emotion recognition from EEG signals. Our analysis is based on extracted features and classification methods of emotion recognition. We intended that, this study will be useful for newly researchers those entering in the field of emotion recognition.

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Published

2021-05-01