A Review of Emotion Recognition Based on EEG using DEAP Dataset

Authors

  • Rama Chaudhary  M. Tech Scholar, Department of Electrical Engineering, University Institute of Engineering and Technology, Kurukshetra, India
  • Ram Avtar Jaswal  

DOI:

https://doi.org//10.32628/IJSRSET218352

Keywords:

Electroencephalogram (EEG), Emotion Recognition, DEAP Dataset, Features Extraction, Artificial Neural Network (ANN)

Abstract

In modern time, the human-machine interaction technology has been developed so much for recognizing human emotional states depending on physiological signals. The emotional states of human can be recognized by using facial expressions, but sometimes it doesn’t give accurate results. For example, if we detect the accuracy of facial expression of sad person, then it will not give fully satisfied result because sad expression also include frustration, irritation, anger, etc. therefore, it will not be possible to determine the particular expression. Therefore, emotion recognition using Electroencephalogram (EEG), Electrocardiogram (ECG) has gained so much attraction because these are based on brain and heart signals respectively. So, after analyzing all the factors, it is decided to recognize emotional states based on EEG using DEAP Dataset. So that, the better accuracy can be achieved.

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International Journal of Scientific Research in Science, Engineering and Technology

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Published

2021-06-30

Issue

Volume 8, Issue 3, May-June-2021

Section

Research Articles

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How to Cite

[1]
Rama Chaudhary, Ram Avtar Jaswal, " A Review of Emotion Recognition Based on EEG using DEAP Dataset, International Journal of Scientific Research in Science, Engineering and Technology(IJSRSET), Print ISSN : 2395-1990, Online ISSN : 2394-4099, Volume 8, Issue 3, pp.298-303, May-June-2021. Available at doi : https://doi.org/10.32628/IJSRSET218352