Classification of Distraction Levels Using Hybrid Deep Neural Networks From EEG Signals.
Dae-Hyeok LeeSung-Jin KimYeon-Woo ChoiPublished in: CoRR (2022)
Keyphrases
- eeg signals
- neural network
- pattern recognition
- motor imagery
- signal processing
- eeg data
- brain computer interface
- machine learning
- classification accuracy
- kernel density estimators
- pattern classification
- training process
- brain activity
- healthy subjects
- neural network model
- image classification
- extracted features
- feature space
- multi layer perceptron
- decision trees
- feature vectors
- image processing
- event related potentials
- genetic algorithm