The following goals are very rough and subject to change:
Current Goal - train a model to classify movement of the hand and arm for any application you could possibly think of using EMG signals
Long-Term Goal - train a model to classify full-body movement using EMG signals
Alternate Goal - train a model to detect bipolar episodes and/or sentiment/emotion using EEG signals (or possibly EMG depending on how much noise is introduced by the skull for EEG)
numpy
scipy
sklearn
tensorflow
keras
obspy
Jupyter_MDs - details about all of our algorithms and clarification as to how they can be run through examples
LearningModel - the machine learning models we are using to classify signals
Pre-Processing - several scripts used to "clean up" the data and prepare it for our learning model