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pyMuse

This repository contains tools for getting Muse signals using Python.

Installation & dependences

You will need some tools to get started with Muse headset and pyMuse:

Don't hesitate to go on Muse Developer website to get information.

liblo and pyliblo install

For MacOS users that use homebrew, see https://github.com/marionleborgne/cloudbrain#install-liblo

Otherwise, here are the following steps to follow (first two are for liblo, the last two are for pyliblo):

  1. Download liblo on the sourceforge webpage
  2. Extract the archive file, open a terminal in that folder and type ./configure. Then make and finally make install. Note that everything is explained in detail in the INSTALL file.
  3. Dowload pyliblo on the package webpage
  4. Extract the archive file, open a terminal in that folder and type python setup.py build then python setup.py install

Getting started

Display your Muse data with eeg displayer

  1. Connect your Muse headset with your computer by bluetooth
  2. Start MuseIO (in a terminal):
muse-io --osc osc.udp://localhost:5001,osc.udp://localhost:5002
  1. Start EEG display script (in a new terminal):
python eeg_display.py

Save Muse data and stream offline

See the developer webpage for details.

  1. Connect your Muse headset with your computer by bluetooth
  2. Start MuseIO (in a terminal):
muse-io --osc osc.udp://localhost:5001,osc.udp://localhost:5002
  1. Start MuseLab (a GUI for real-time visualization of brainwaves). It allows you to record the whole data for offline analysis (via the Recording tab). You might also look at the Markers tab to add triggers to your experiment.
  2. Stop MuseIO and MuseLab now that data have been recorded.
  3. Run MusePlayer to stream the datat to a server.
muse-player -f you_recorded_data.muse -s osc.udp://localhost:5001

Note that you can add your recorded data to the following repository to share it with the other members. 6. Now you can display your recorded session using eeg displayer, or processing with your favorite software.

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