Emotion Classification through Nonlinear EEG Analysis Using Machine Learning Methods
Background: Emotion recognition, as a subset of affective computing, has received considerable attention in recent years. Emotions are key to human-computer interactions. Electroencephalogram (EEG) is considered a valuable physiological source of information for classifying emotions. However, it has...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Shahid Beheshti University of Medical Sciences
2018-10-01
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| Series: | International Clinical Neuroscience Journal |
| Online Access: | http://journals.sbmu.ac.ir/Neuroscience/article/download/22921/4 |