*Feature Extraction and Classification of Cognitive Mental workload EEG signals
This repository contains a Ipython notebook file which contains a module to extract features from EEG signals. These features can be used to train machine learning algorithms.
Steps:
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Download the Cognitive-Mental-workload-EEG-Data
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Open the file Feature Extraction.ipynb
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Run all the code in the notebook.
Note: Wait for a while after the code snippet with heading "Creating the feature vectors" is run to let the features get populated before normalizing the features.
- Then use these normalized features to train differnt classifiers in classification.ipynb