Emotion Recognition from Single-Trial EEG Based on Kernel Fisher's Emotion Pattern and Imbalanced Quasiconformal Kernel Support Vector Machine.
Yi-Hung LiuChien-Te WuWei-Teng ChengYu-Tsung HsiaoPo-Ming ChenJyh-Tong TengPublished in: Sensors (2014)
Keyphrases
- emotion recognition
- single trial
- support vector machine
- kernel fisher
- spatial filters
- brain computer interface
- kernel function
- physiological signals
- multi class
- active learning
- emotional speech
- eeg data
- support vector
- healthy subjects
- hand movements
- event related
- human computer interaction
- audio visual
- facial expressions
- feature space
- emotional state
- emotion classification
- machine learning
- sentiment analysis
- hand gestures
- training data
- feature selection
- affective states
- information fusion
- facial images
- feature vectors
- independent component analysis
- multi modal
- image classification
- face images
- user interface
- high dimensional
- pattern recognition
- video sequences