Improving BCI-based emotion recognition by combining EEG feature selection and kernel classifiers

INIS

• signals 100%
• kernels 100%
• classification 75%
• comparative evaluations 25%
• datasets 25%
• processing 25%
• accuracy 25%
• brain 25%
• information 25%
• stimuli 25%
• valence 25%
• interfaces 25%
• constraints 25%
• noise 25%
• computers 25%

Computer Science

• Feature Selection 100%
• Feature Extraction 100%
• Classification Task 66%
• Mutual Information 33%
• Preprocessing 33%
• Computer Interface 33%
• Dimensional Model 33%
• Emotional Change 33%
• Computational Method 33%

Keyphrases

• Emotion Classes 33%
• Emotion Type 33%
• Dimensional Models of Emotion 33%