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Takes EEG data coming in from an OpenEEG device, splits it into the different brainwaves and uses them to change an almost real-time OpenGL ES visualization. The purpose is to teach basic meditation by keeping the visualizations as static as possible.

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README.md

openeeg-opengl-visualization

Takes EEG data coming in from an OpenEEG device, splits it into the different brainwaves and uses them to change an almost real-time OpenGL ES visualization. The purpose is to teach basic meditation by keeping the visualizations as static as possible.

It currently works on two platforms: X Windows (linux) and Raspberry Pi (tested with Raspbian)

Setup:

Linux (X Windows)

To run on X11, the following libraries are required to be installed in /usr/include: X11, GLESv2, EGL, rfftw, fftw, Math and pthread.

These commands should take care of all setup on a Debian-based system, you may need to adapt for other systems:

sudo apt-get install git cmake libglm-dev
sudo apt-get install libx11-dev
sudo apt-get install libgles2-mesa-dev

make setup_nsd         # Fails? Install neuroserver manually (https://github.com/BCI-AR/NeuroServer)
make setup_fftw2       # Fails? Install FFTW 2.1.5 manually (http://www.fftw.org/download.html)
make meditrainer_x11   # Fails? Please contact the author!

If all of the above went correctly, these executable files should exist:

nsd
modeegdriver
meditrainer

Running Meditrainer

./nsd  # Starts neuroserver TCP server for EEG data
sudo ./modeegdriver -d /dev/ttyUSB0  # Starts a driver to stream EEG data to the nsd. ttyUSB0 should point to the OpenEEG drive.
./meditrainer

At this point you should see red lines on a black screen. This is calibration mode.

Calibration

Press the space bar or the 'a' key to move on to the different visualizations.

Waves

Fire

Oscilloscope

Fiery Tunnel

About

Takes EEG data coming in from an OpenEEG device, splits it into the different brainwaves and uses them to change an almost real-time OpenGL ES visualization. The purpose is to teach basic meditation by keeping the visualizations as static as possible.

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