EEG error potentials detection and classification using time-frequency features for robot reinforcement learning.
Larbi BoubchirYoucef TouatiBoubaker DaachiArab Ali ChérifPublished in: EMBC (2015)
Keyphrases
- eeg signals
- classification accuracy
- reinforcement learning
- feature vectors
- feature set
- feature extraction
- classification method
- features extraction
- feature extraction and classification
- classification process
- classification models
- feature space
- false positives
- signal processing
- class labels
- image features
- pattern recognition
- image classification
- neyman pearson
- feature selection
- extracted features
- motor imagery
- svm classifier
- benchmark datasets
- support vector machine svm
- mammogram images
- support vector machine classifier
- feature subset
- spectral features
- object detection
- feature values
- sleep stage
- machine learning
- support vector
- state space
- robot navigation
- support vector machine
- supervised learning
- semi supervised
- discriminative classifiers
- mobile robot
- markov decision processes
- training set
- vision system
- detection method
- epileptic seizures
- adaboost classifier
- face detection