Deep time-frequency features and semi-supervised dimension reduction for subject-independent emotion recognition from multi-channel EEG signals.
Behrooz Zali-VargahanAsghar CharminHashem KalbkhaniSaeed BarghandanPublished in: Biomed. Signal Process. Control. (2023)
Keyphrases
- multi channel
- dimension reduction
- eeg signals
- feature extraction
- emotion recognition
- extracted features
- emotional speech
- semi supervised
- high dimensionality
- feature space
- principal component analysis
- signal processing
- high dimensional
- emotion classification
- low dimensional
- high dimensional data
- feature vectors
- feature selection
- unsupervised learning
- data sets
- pattern recognition
- brain computer interface
- information fusion
- cluster analysis
- least squares
- preprocessing
- object recognition
- singular value decomposition
- human computer interaction
- emotional state
- image processing
- feature set
- neural network