Recurrent and Convolutional Neural Networks in Classification of EEG Signal for Guided Imagery and Mental Workload Detection.
Filip PostepskiGrzegorz M. WójcikKrzysztof WróbelAndrzej KawiakKatarzyna ZemlaGrzegorz SedekPublished in: CoRR (2024)
Keyphrases
- eeg signals
- convolutional neural networks
- kernel density estimators
- event related potentials
- decision rules
- signal processing
- image classification
- detection method
- classification accuracy
- pattern recognition
- computer vision
- object detection
- response time
- support vector machine svm
- frequency analysis
- extracted features
- support vector machine
- image processing
- detection algorithm
- multiscale
- decision trees
- epileptic seizures
- recurrent neural networks
- feature space
- machine learning
- feature extraction
- empirical mode decomposition
- training set
- text classification
- thematic mapper
- data streams
- feature vectors