Volume 10, Issue 2 (3-2014)
JSDP 2014, 10(2): 21-34 |
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yazdchi M, mahnam A. Designing an Experiment to Improve Automatic Emotion Detection Using EEG . JSDP 2014; 10 (2) :21-34
URL: http://jsdp.rcisp.ac.ir/article-1-83-en.html
URL: http://jsdp.rcisp.ac.ir/article-1-83-en.html
Abstract: (10524 Views)
Emotions play an important role in daily life of human, so the need and importance of automatic emotion recognition have grown with increasing role of Human Computer Interaction (HCI) applications. Since emotion recognition using EEG can show inner emotions, this method is more attention from other ways. In consideration to lack of emotion induction collection for doing such researches at Iranian culture, in this research some emotion induction experiments are designed to create four emotion states in subjects. Once subjects are experimented by International Affective Picture System (IAPS) that collected at Florida University and then they are experimented by corresponding movies with Iranian culture. Results show that corresponding movies get higher accuracy in comparison with IAPS. Fast computing, using only two electrodes and obtaining high accuracy from EEG signals are other advantages of this research
Keywords: Emotion recognition, EEG signal, International Affective Picture System, Fractal dimension
Type of Study: Research |
Subject:
Paper
Received: 2013/06/5 | Accepted: 2014/01/7 | Published: 2014/04/8 | ePublished: 2014/04/8
Received: 2013/06/5 | Accepted: 2014/01/7 | Published: 2014/04/8 | ePublished: 2014/04/8
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