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Lol that's actually what we used initially (still do). We rolled our own way of processing the EEG signals (which are notoriously noisy), then we used a technique to remove movement.

Now typically those type of analysis are done post run. However,I worked on it for a while and now in real-time we can do error correction based on movement. This enables those EEGs to be within spitting distance of medical grade EEGs.



Published any info anywhere on it?


Not the completely up-to-date method(s), however we have our initial research from a few years ago:

http://synaptitude.me/blog/using-computer-vision-to-improve-...

Most of the current research has gone to a more academic route.




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