Sparse Bayesian Learning for Obtaining Sparsity of EEG Frequency Bands Based Feature Vectors in Motor Imagery Classification.
Yu ZhangYu WangJing JinXingyu WangPublished in: Int. J. Neural Syst. (2017)
Keyphrases
- motor imagery
- feature vectors
- frequency band
- eeg signals
- subband
- brain computer interface
- sparse bayesian learning
- eeg data
- feature space
- support vector machine
- feature extraction
- high frequency
- computer vision
- high dimensional
- signal processing
- pattern recognition
- healthy subjects
- machine learning
- texture features
- positive and negative
- feature set
- face recognition
- image processing
- spinal cord injury