Emotion Recognition Using the Emotiv EPOC Device

  • Trung Duy Pham
  • Dat Tran
Part of the Lecture Notes in Computer Science book series (LNCS, volume 7667)


Emotion plays an important role in the interaction between humans as emotion is fundamental to human experience, influencing cognition, perception, learning communication, and even rational decision-making. Therefore, studying emotion is indispensable. This paper aims at finding the relationships between EEG signals and human emotions based on emotion recognition experiments that are conducted using the commercial Emotiv EPOC headset to record EEG signals while participants are watching emotional movies. Alpha, beta, delta and theta bands filtered from the recorded EEG signals are used to train and evaluate classifiers with different learning techniques including Support Vector Machine, k-Nearest Neighbour, Naïve Bayes and AdaBoost.M1. Our experimental results show that we can use the Emotiv headset for emotion recognition and that the AdaBoost.M1 technique and the theta band provide the highest recognition rates.


EEG Emotion recognition Emotiv EPOC headset AdaBoost.M1 


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Copyright information

© Springer-Verlag Berlin Heidelberg 2012

Authors and Affiliations

  • Trung Duy Pham
    • 1
  • Dat Tran
    • 1
  1. 1.Faculty of Information Sciences and EngineeringUniversity of CanberraAustralia

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