Re:Machine translation of cortical activity to text with enc...
by antupis on Tuesday March 31, 2020 @08:34AM
(#22736869)
Stupid question but could you do something very simple like on/off-switch with EEG and something similar than what they have done here?
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Re:Machine translation of cortical activity to text with enc...
by bognition on Tuesday March 31, 2020 @09:09AM
(#22737113)
Not sure how that would change anything. Think of the brain as a crowd at a soccer field and to decode the brain you'd need a mic on each person to capture every conversation. ECoG is like having a mic shared between every 100 people. While EEG is like having a single mic that is 10K feet over the soccer stadium.
Re:Machine translation of cortical activity to text with enc...
by posterboy on Tuesday March 31, 2020 @03:02PM
(#22741170)
This is my new favorite metaphor, if it's an analogy to how people sing, and how a person can sing somewhat randomly (free) yet controlled. The fact that there are two sides to the party chanting against each other, and the stadion speaker blurting over it occasionally, makes it so much better.
Corallary, you need two microphones at least for simplicities sake, although the repetitivenes of the chants makes it a little easier.
Most likely this will have good use in aphasia research.
Re:Machine translation of cortical activity to text with enc...
by garethsprice on Tuesday March 31, 2020 @01:58PM
(#22740381)
Muse headset uses the "on/off" signal for meditation training. Has a fun stream API you can play with.