![](/images/graphics-bg.png)
Real-Time EEG-Based Happiness Detection System
Joint Authors
Israsena, P.
Jatupaiboon, Noppadon
Pan-ngum, Setha
Source
Issue
Vol. 2013, Issue 2013 (31 Dec. 2013), pp.1-12, 12 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2013-08-18
Country of Publication
Egypt
No. of Pages
12
Main Subjects
Medicine
Information Technology and Computer Science
Abstract EN
We propose to use real-time EEG signal to classify happy and unhappy emotions elicited by pictures and classical music.
We use PSD as a feature and SVM as a classifier.
The average accuracies of subject-dependent model and subject-independent model are approximately 75.62% and 65.12%, respectively.
Considering each pair of channels, temporal pair of channels (T7 and T8) gives a better result than the other area.
Considering different frequency bands, high-frequency bands (Beta and Gamma) give a better result than low-frequency bands.
Considering different time durations for emotion elicitation, that result from 30 seconds does not have significant difference compared with the result from 60 seconds.
From all of these results, we implement real-time EEG-based happiness detection system using only one pair of channels.
Furthermore, we develop games based on the happiness detection system to help user recognize and control the happiness.
American Psychological Association (APA)
Jatupaiboon, Noppadon& Pan-ngum, Setha& Israsena, P.. 2013. Real-Time EEG-Based Happiness Detection System. The Scientific World Journal،Vol. 2013, no. 2013, pp.1-12.
https://search.emarefa.net/detail/BIM-1033121
Modern Language Association (MLA)
Jatupaiboon, Noppadon…[et al.]. Real-Time EEG-Based Happiness Detection System. The Scientific World Journal No. 2013 (2013), pp.1-12.
https://search.emarefa.net/detail/BIM-1033121
American Medical Association (AMA)
Jatupaiboon, Noppadon& Pan-ngum, Setha& Israsena, P.. Real-Time EEG-Based Happiness Detection System. The Scientific World Journal. 2013. Vol. 2013, no. 2013, pp.1-12.
https://search.emarefa.net/detail/BIM-1033121
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1033121