EEG Subspace Representations and Feature Selection for Brain-Computer Interfaces.
Charles W. AndersonMichael J. KirbyPublished in: CVPR Workshops (2003)
Keyphrases
- brain computer interface
- feature selection
- eeg signals
- motor imagery
- feature space
- healthy subjects
- brain signals
- eeg data
- dimensionality reduction
- feature extraction
- signal processing
- event related
- evoked potentials
- text categorization
- feature set
- feature subspace
- computer screen
- brain activity
- principal component analysis
- low dimensional
- single trial
- feature subset
- event related potentials
- feature selection algorithms
- subspace clustering
- machine learning
- high dimensional data
- classification accuracy
- symbolic representation
- subspace learning
- motor learning
- high dimensional
- pattern recognition
- face recognition
- spinal cord injury