Using Fractal and Local Binary Pattern Features for Classification of ECOG Motor Imagery Tasks Obtained from the Right Brain Hemisphere.
Fangzhou XuWeidong ZhouYilin ZhenQi YuanQi WuPublished in: Int. J. Neural Syst. (2016)
Keyphrases
- eeg signals
- motor imagery
- local binary pattern
- single trial
- feature extraction
- brain computer interface
- eeg data
- feature vectors
- classification accuracy
- textural features
- feature set
- texture features
- gray level co occurrence matrix
- extracted features
- feature space
- spatial information
- texture classification
- signal processing
- pattern classification
- healthy subjects
- texture analysis
- filtered images
- feature selection
- rotation invariant
- brain activity
- pattern recognition
- face recognition
- human brain
- independent component analysis
- gabor filters
- image classification
- co occurrence
- multiresolution
- object recognition
- support vector
- similarity measure
- image processing
- machine learning