Machine Learning approach for the classification of EEG signals of multiple imagery tasks.
Smita TiwariShivani GoelArpit BhardwajPublished in: ICCCNT (2020)
Keyphrases
- eeg signals
- machine learning
- signal processing
- motor imagery
- multiple tasks
- decision trees
- text classification
- machine learning algorithms
- machine learning methods
- supervised classification
- brain activity
- pattern recognition
- brain computer interface
- healthy subjects
- computer vision
- support vector machine
- eeg data
- classification accuracy
- electrical activity
- machine learning approaches
- kernel density estimators
- data mining
- linear discriminant classifier
- pattern classification
- model selection
- image classification
- high resolution
- feature selection
- decision rules
- semi supervised learning
- supervised learning
- semi supervised
- supervised machine learning
- data analysis
- object recognition
- feature extraction
- image segmentation