Brain-Computer Interface calibration

An EMG-controlled interface for BCI calibration with a gamification mode powered via Brainflow.

This interface has two modes:

• An instruction-only interface with no feedback
• A gamified interface with EMG feedback

The goal of this project is to provide an interface for subjects performing motor tasks. The gamification mode is intended to provide a more engaging experience for subjects.

Installation

• Clone the repository
• Install the dependencies with pip install -r requirements.txt

Usage

Run the interface with python main.py.

Scene selection

There are two scenes available:

• --mode instructions (default) will display the scene with bare motor task instructions
• --mode game will display the scene with the gamified interface

Data source

There are three ways to ingest data:

• --input cyton (default) will ingest data directly from OpenBCI Cyton board
• --input playback will ingest data from a file recorded with Brainflow.
  • By default, the data is streamed from examples/example_1.csv. Use --file <FILENAME> to specify a different file.
• --input openbci will ingest data from OpenBCI GUI on 225.1.1.1:6677. The assumption is that the streamed data come from a Cyton board.

Additional options

• --fullscreen will display the interface in fullscreen mode. If not provided, the interface will be displayed in a small 800x600 window.
• --channel <CHANNEL_NUMBER> will select the channel to use for the EMG feedback. By default, channel 1 is used.

Licensing

The code is licensed under the GPLv3 license. See the LICENSE file for more information.

The graphical assets are created by Kenney and are CC0 licensed (public domain). See the ASSETS-LICENSE file for more information.