EEG-based recognition of positive and negative emotions using for pleasant vs. unpleasant images
Emotions play an important role in our daily life. AntonioDamasiofamously stated: “We are not thinking machines that feel; rather we are feeling machines that think”. Human emotions can be recognized through facial expression, speech and gesture. The use of electroencephalograms (EEGs) to underst...
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| Main Authors: | , , |
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| Format: | Article |
| Language: | English English |
| Published: |
International Journal of Recent Advances in Multidisciplinary Research
2015
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| Online Access: | https://eprints.ums.edu.my/id/eprint/19405/1/EEG.pdf https://eprints.ums.edu.my/id/eprint/19405/7/EEG-based%20recognition%20of%20positive%20and%20negative%20emotions%20using%20for%20pleasant%20vs.%20unpleasant%20images.pdf https://eprints.ums.edu.my/id/eprint/19405/ http://www.ijramr.com/sites/default/files/issues-pdf/255.pdf |
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| Summary: | Emotions play an important role in our daily life. AntonioDamasiofamously stated: “We are not
thinking machines that feel; rather we are feeling machines that think”. Human emotions can be
recognized through facial expression, speech and gesture. The use of electroencephalograms (EEGs)
to understand and recognize human emotion has been widely studied, where those recognition
techniques greatly benefit in human-computer interaction (HCI). In this investigation, we study the
use of EEGs to recognize emotions. Pleasant and unpleasant images are used as stimuli to elicit
human pleasant and unpleasant emotions.The brainwaves are recorded using a 9-electrode medical
grade wireless EEG headset from Advance Brain Monitoring (ABM), the B-alert X10. The features
comprising alpha, beta, gamma, theta, and delta bands are then extracted from the recorded
brainwaves using time-frequency analysis. Different channels and rhythms are used in support vector
machine (SVM) and K-nearest neighbors (KNN) classifiers to train and classify pleasant vs.
unpleasant mind states. The best accuracy obtained was 70.43% using SVM with alpha and beta
rhythmsfromchannel F3 and Fz, and also with gamma rhythms from channel POz. |
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