Branches

Descriptions of Branches

The repository contains the following branches with their respective descriptions below. Each repository has further instructions and documentation, so please be sure to take a look at those first, PRIOR to moving on to the other Wiki pages. The files contained in this repository are the final versions of our work. The intermediate versions are not uploaded here, but can be provided upon request.

Main branches

• Data: Recorded data using the Cyton 8-channel 32-bit board and Ultracortex Mark III Nova headset from OpenBCI. Used OpenBCI GUI and OpenViBE for data acquisition.
• Two Binary SVM Classifers (offline use only): Offline implementation of the online classifier, used for the analysis of recordings done with the Graz stimulation from OpenViBE's existing paradigms.
• Online Training and Prediction: Final online classifiers, one version is for Left/Right classification only while the other has two binary classifiers. The procedure for using this code will be mentioned on the Online Prediction Wiki page.
• Cursor Control: Two versions, one for the Left/Right classifier and the other for the Two Binary Classifiers. The procedure for using this code will also be mentioned on the Online Prediction Wiki page.

Supplementary branches

• Archives and Executables: Downloaded programs/toolboxes/functions that were essential to the completion of this project.
• Streaming via LSL: Setting up the lab streaming layer from the Schwartz Center for Computational Neuroscience at the University of San Diego with our OpenBCI headset.
• Validation: External triggering experiment to observe Visually Evoked Potentials (VEP) using our headset.
• Streaming to MATLAB directly from Serial Port: Experimenting with a method of streaming data into MATLAB.
• Custom OpenViBE Scenarios: These were modified from existing scenarios for our specific application.

Now, let's get into the more fun stuff: Online Prediction