Research Article

EEG-Based Emotion Classification for Verifying the Korean Emotional Movie Clips with Support Vector Machine (SVM)

Table 8

Emotion classification accuracy from different channels based on support vector machine using grid search.

Emotion1)Frequency bandsHyperparameterAll channels2)Selected channels3)

All emotions
(A, E, F, H, N, S)
All bands71.86
Alpha + Beta79.97
84.11

5 emotions
(A, E, F, H, S)
All bands80.85
Alpha + Beta89.28
91.20

Note: : 1/Number of features x variance of data). 1)Emotion: A (anger), E (excitement), F (fear), H (happiness), N (neutral), S (sadness). 2)All channels: AF3, AF4, F7, F8, F3, F4, FC5, FC6, T7, T8, P7, P8, O1, and O2. 3)Selected channels: AF3, AF4, F3-F4, F7, F8, P7, P8.