Today there are systems that can recognize user intentions with limited
However, they cannot distinguish between intentional and involuntary gaze delays, which occur, for example, when the user wants to look at something.
Researchers at MSUPE are creating a control system that will be able to determine whether gaze delay is intentional or involuntary.
The new system works by distinguishing brain signals that arise when performing certain mental actions; the BCI allows you to give commands to the computer literally using your thoughts.
To do this, the user only needs to intentionallyhold your gaze, and this very action, according to scientists, already changes the pattern of brain signals so that it is possible to recognize the desire not just to focus on something, but to click on the object.
Accuracy in determining what users wantjust clicking is not yet sufficient for immediate implementation of the technology. This is due to the fact that during the experiment it is not yet possible to record enough data to train neural networks. This is a common problem when classifying brain signals with deep artificial neural networks. We are currently working to expand our MEG data set.
Anastasia Ovchinnikova, senior researcher at the MEG center of the Moscow State University of Psychology and Education
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