I'm doing a master thesis on EEG classification. Some thoughts: 1) The term Brain-Computer Interface is not made up for this article, it is the accepted name f

I'm doing a master thesis on EEG classification. Some thoughts: 1) The term Brain-Computer Interface is not made up for this article, it is the accepted name for this kind of thing in academia. 2) Their 85% accuracy is not classification accuracy, but how many rings the user was able to get through. It's impossible to tell what this says about the accuracy of their classifier. 3) From skimming their paper, it seems like their classification approach is fairly simple. They do not learn a spatial filter for instance. 4) As far as I know, the article is correct in saying that this is the first BCI to allow navigation in 3D space. This is very cool, and I hope they release the code for it. To sum it up, this is a very cool practical application. From what I can tell it does nothing ground breaking in order to do classification, and I bet a more computationally intensive approach to classification could perform substantially better.