Two-Phase Multitask Autoencoder-Based Deep Learning Framework for Subject-Independent EEG Motor Imagery Classification.
ChangGyun JinAndrew H. SongSeong-Eun KimPublished in: IEEE Access (2024)
Keyphrases
- motor imagery
- deep learning
- multi task
- eeg signals
- brain computer interface
- restricted boltzmann machine
- eeg data
- unsupervised learning
- machine learning
- feature selection
- text classification
- data sets
- pattern recognition
- feature extraction
- decision trees
- machine learning algorithms
- classification accuracy
- multi task learning
- information extraction
- learning tasks
- learning algorithm