[thearn4]

Robust classification of EEG data from humans in real time in controlled environments (no motion, perfect contact quality, on subjects you can communicate with, etc) is difficult enough. It's part of the R&D that I do now. But on pets? How do you keep them still enough and the sensors seated and wet? Is the classification purely based on unsupervised learning? How the heck does one gather meaningful training data?

My skepto-meter is really pinging on this one. Especially with the flex-funding model.