Decoding Multi-Class Motor Imagery and Motor Execution Tasks Using Riemannian Geometry Algorithms on Large EEG Datasets.
Zaid ShuqfaAbdelkader Nasreddine BelkacemAbderrahmane LakasPublished in: Sensors (2023)
Keyphrases
- multi class
- motor imagery
- benchmark datasets
- binary classification problems
- binary classification tasks
- support vector machine
- brain computer interface
- learning algorithm
- multiple classes
- binary classification
- multi class classification
- multiclass problems
- eeg signals
- base classifiers
- boosting algorithms
- cost sensitive
- machine learning algorithms
- eeg data
- decoding algorithm
- healthy subjects
- object detection
- spinal cord injury
- neural network