Motor Imagery Classification Using Riemannian Geometry in Multiple Frequency Bands with a Weighted Nearest Neighbors Approach.
Girish TiwaleHubert CecottiPublished in: MCPR (2022)
Keyphrases
- motor imagery
- nearest neighbor
- frequency band
- eeg signals
- decision boundary
- classification accuracy
- brain computer interface
- pattern recognition
- image classification
- low frequency
- training set
- pattern classification
- support vector machine
- high frequency
- machine learning
- data points
- decision trees
- image processing
- feature selection
- subband
- feature vectors
- support vector
- eeg data
- knn
- high dimensional data
- feature space
- image segmentation