neurothink is project exploring Muse 2 EEG data.
In this notebook, I train a CNN to determine whether the wearer's eyes are open or closed based on the raw EEG signals. The results were surprising, with up to 82% accuracy on my dataset.
Possible improvements:
- Use FFT data as additional features (ie. feature per band per sample). example
- Use stationary wavelet transform, as a better (?) alternative to FFT.
- Experiment with network architectures.
Here, I train a similar CNN to determine whether the wearer is thinking of the concept of left, right, or neither. In Progress.
Next, I plan on trying to training a network to detect different states of meditation, preferably with some notion of "meditation quality" baked into the training data and therefore the resulting network outputs.