This dataset is now included in moabb
Repository with basic scripts for using the EEG Virtual Reality developed at GIPSA-lab [1]. The dataset files and their documentation are all available at
https://zenodo.org/record/2605205/
The code of this repository was developed in Python 3 using MOABB [2] and MNE-Python [3, 4] as tools for downloading and pre-processing the dataset. It is compatible with Python 3.8 and 3.9.
To make things work, you will need to install MOABB. It can be done by following the instructions at the project's GitHub link.
You might also need to install some packages. They are all listed in the requirements.txt file and can be easily installed by doing
pip install -r requirements.txt
in your command line.
Then, to ensure that your code finds the right scripts whenever you do import virtualreality, you should also do
python setup.py develop # because no stable release yet
Note that you might want to create a virtual environment before doing all these installations.
[1] Cattan et al. "Dataset of an EEG-based BCI experiment in Virtual Reality and on a Personal Computer" DOI
[2] Jayaram and Barachant "MOABB: Trustworthy algorithm benchmarking for BCIs" DOI
[3] Gramfort et al. "MNE software for processing MEG and EEG data" DOI
[4] Gramfort et al. "MEG and EEG data analysis with MNE-Python" DOI