We are very happy to have our paper
“Towards Defining and Quantifying Mental Imagery Based-BCI Users’ skills”, F. Lotte & C. Jeunet
accepted in Journal of Neural Engineering! You can find the accepted version (uncorrected) HERE! We propose in this paper new MI-BCI performance metrics, based on Riemannian geometry, which enable the quantification of the EEG signals’ stability (for a specific class) and distinguishability (between different classes). You can find the corresponding code hereinafter:
https://sites.google.com/site/fabienlotte/code-and-softwares/metricsofperformance!