While I believe you that the signal to noise is terrible, I have strong suspicions that given enough data we'll still be seeing surprising advancements in spite of that.
The ability of deep learning to tease back out signal from noise, such as reversing what's being typed from room audio with a keyboard in it, shouldn't be underestimated.
The biggest challenge may be that EEG data correlated with signals is relatively expensive to generate, so there's not going to be anything like millions of hours of people looking at or processing known things to throw into a model.
Whereas we're about to have massive increases in eye tracking data as it becomes a central component to new consumer hardware.
The ability of deep learning to tease back out signal from noise, such as reversing what's being typed from room audio with a keyboard in it, shouldn't be underestimated.
The biggest challenge may be that EEG data correlated with signals is relatively expensive to generate, so there's not going to be anything like millions of hours of people looking at or processing known things to throw into a model.
Whereas we're about to have massive increases in eye tracking data as it becomes a central component to new consumer hardware.