Module: BCI Trainer

[kylemath]

Present two training sessions where individual does behaviour A in training session 1, and behaviour B in training session 2, then live classification can begin to classify into A or B.
Buttons for train A, train B, run training, run classification. Similar to Gene Kogan webcam examples, or eeg101.

Could also do continuous instead of discrete prediction with training along various parts of a continuous slider as input.

[korymath]

Early progress on this in this skeleton: #89

Great work!

[kylemath]

i see, not really, but sure this is a good place to start for the BCI type data collection, which will have a different goal and not need to port variables into csv