Classification of EEG signals using multiple gait features based on Small-world Neural Network.
Cheng ZhangJinhua ZhangJun HongPublished in: URAI (2016)
Keyphrases
- eeg signals
- small world
- neural network
- pattern recognition
- motor imagery
- decision trees
- signal processing
- classification accuracy
- small world networks
- eeg data
- brain computer interface
- extracted features
- scale free
- feature space
- support vector
- power law
- multi layer perceptron
- machine learning
- decision rules
- pattern classification
- support vector machine svm
- image classification
- supervised learning
- human recognition
- linear discriminant classifier
- feature vectors
- feature extraction
- feature fusion
- image processing
- feature selection