AR-PCA-HMM Approach for Sensorimotor Task Classification in EEG-based Brain-Computer Interfaces.
Ali Ozgur ArgunsahMüjdat ÇetinPublished in: ICPR (2010)
Keyphrases
- eeg signals
- brain computer interface
- eeg data
- motor imagery
- independent component analysis
- single trial
- principle component analysis
- hidden markov models
- principal component analysis
- classification accuracy
- healthy subjects
- signal processing
- feature extraction
- brain signals
- motor learning
- augmented reality
- pattern recognition
- event related potentials
- feature space
- brain activity
- evoked potentials
- machine learning
- principal components analysis
- svm classifier
- image classification
- feature vectors
- human computer interaction
- event related
- multimodal interaction
- training set
- support vector
- face recognition
- computer vision
- neural network
- spinal cord injury