Emmanuel K. Kalunga

We don’t have enough information about this author to calculate their statistics. If you think this is an error let us know.
Learn More
Riemannian geometry has been applied to Brain Computer Interface (BCI) for brain signals classification yielding promising results. Studying electroencephalographic (EEG) signals from their associated covariance matrices allows a mitigation of common sources of variability (electronic , electrical , biological) by constructing a representation which is(More)
  • 1