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Development of EEG based Emotion Recognition System using Song Induced Activity
| International Journal of Computer Applications |
| Foundation of Computer Science (FCS), NY, USA |
| Volume 86 - Number 1 |
| Year of Publication: 2014 |
| Authors: Rakesh S. Deore, Rahul D. Chaudhari, Suresh C Mehrotra |
10.5120/14946-3016
|
Rakesh S. Deore, Rahul D. Chaudhari, Suresh C Mehrotra . Development of EEG based Emotion Recognition System using Song Induced Activity. International Journal of Computer Applications. 86, 1 ( January 2014), 1-3. DOI=10.5120/14946-3016
Abstract
In this study we build a mood recognition system using EEG signal of Song Induced activity. In this we have analyzed alpha EEG powers related to left hemisphere, right hemisphere regions of brains. This has given the significance of different brain region related to emotions. This study successfully achieves the goal to design a system which offers offline mood recognition system. In this study we show that it is possible to recognize the different moods of person using EEG signal. We observe the different brain locations as Left Hemisphere and Right Hemisphere to recognize the significance according to different moods. The alpha powers are more alert during National, Happy, Romantic mood as compared to Sad mood. So it is possible to distinguish these different moods using alpha power values. The distance matrices also shows that it is possible to differentiate the emotions of persons using alpha power values.
References
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