Finger flexion imagery: EEG classification through physiologically-inspired feature extraction and hierarchical voting.
Daniel FurmanRoi ReichartHillel PrattPublished in: BCI (2016)
Keyphrases
- feature extraction
- feature vectors
- pattern recognition
- image classification
- pattern classification
- eeg signals
- extracted features
- support vector machine svm
- feature space
- feature selection
- image processing
- feature extraction and classification
- preprocessing
- hierarchical classification
- text classification
- supervised learning
- support vector machine
- image feature extraction
- classification method
- classification accuracy
- signal processing
- feature set
- machine learning
- dimension reduction
- motor imagery
- frequency domain
- wavelet transform
- image data
- training set
- support vector
- texture features
- unsupervised learning
- texture classification
- feature representation
- majority voting
- feature fusion
- preprocessing stage
- face recognition
- neural network
- texture feature extraction