Individual alpha peak frequency based features for subject dependent EEG workload classification.
Wei Lun LimOlga SourinaLipo WangYisi LiuPublished in: SMC (2016)
Keyphrases
- eeg signals
- feature vectors
- classification accuracy
- feature extraction
- classification method
- classification models
- feature set
- feature space
- classification process
- individual features
- svm classifier
- gender classification
- feature selection algorithms
- feature representation
- feature analysis
- text classification
- feature construction
- machine learning
- high dimensionality
- extracted features
- signal processing
- benchmark datasets
- feature extraction and classification
- extracting features
- support vector machine
- low level
- features extraction
- support vector
- class labels
- textural features
- support vector machine svm
- image classification
- feature selection
- eeg data
- sleep stage
- physiological signals
- irrelevant features
- motor imagery
- feature values
- brain computer interface
- classification scheme
- gabor filters
- pattern classification
- classification algorithm
- frequency domain
- supervised learning
- multi class
- image features