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EEG based Emotion Recognition and Classification: a Review

    Ramprasad Kumawat Manish Jain

International Research Journal on Advanced Science Hub, 2021, Volume 3, Issue Special Issue ICITCA-2021 5S, Pages 1-10
10.47392/irjash.2021.131

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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.
Keywords:
    SVM EEG Emotion Classifier dataset and KNN
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(2021). EEG based Emotion Recognition and Classification: a Review. International Research Journal on Advanced Science Hub, 3(Special Issue ICITCA-2021 5S), 1-10. doi: 10.47392/irjash.2021.131
Ramprasad Kumawat; Manish Jain. "EEG based Emotion Recognition and Classification: a Review". International Research Journal on Advanced Science Hub, 3, Special Issue ICITCA-2021 5S, 2021, 1-10. doi: 10.47392/irjash.2021.131
(2021). 'EEG based Emotion Recognition and Classification: a Review', International Research Journal on Advanced Science Hub, 3(Special Issue ICITCA-2021 5S), pp. 1-10. doi: 10.47392/irjash.2021.131
EEG based Emotion Recognition and Classification: a Review. International Research Journal on Advanced Science Hub, 2021; 3(Special Issue ICITCA-2021 5S): 1-10. doi: 10.47392/irjash.2021.131
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