Emanuele Menegatti

The Riemannian geometry of user learning in MI-BCI: A Cybathlon longitudinal study

Motor imagery (MI) brain-computer interfaces (BCIs) are promising assistive technologies, however, their development is hindered by low electroencephalography (EEG) signal quality and an incomplete understanding of neural modulation during training. Traditional performance-based...