152 karma · joined September 28, 2023
Yeah - this is wireless. Better than some systems which have been, no joke, a box at the top of your head with a HDMI cable in it..
> He appears to just think about where the mouse should go and then be able to click and click-and-hold. Seems like multiple inputs which an eye tracker wouldn't do. Unless maybe its just configured to click when the cursor pauses on a spot?
This is really the key question. The dwell technique you note is what most eyetrackers do (although far better to use a binary technique - eg a blink - to select because of the midas touch effect). Its built into to Windows/MacOS and iOS now. I have a sneaky feeling the reason why its chess is you can encode the positions "X1 to Y2". You can then do a transformer model to decode intentional speech..
If that is the case - then if a person actually speaks whats the benefit right now for this indvidual? (yes - that he doesnt have to say it. BUT sub-vocal speech is already achievable without invasive surgery..)
But sure - "the potential" is the key thing in all this. Just the cost to benefit ratio is pretty dramatic right now.
I'm not sure I can believe this "This system is likely already working better than an eye tracker would for cursor control" - the training to use this stuff isnt just 'magic'. I do agree though with "and it will certainly improve" - yeah iterate.. iterate..
- These types of BCI are effectively an array of switches. You typically map a motor thought eg. "Move your arm up" => Moving the cursor up. This maybe how then you control a game such as chess if it has keyboard shortcuts. Eye movement could be done in the same way but there are easier ways. Interestingly to measure these motor commands you dont really need intracortical BCI. You can do it with surface EEG. Sticking it inside your head - closer to centres where you can measure intentional thought makes the signal cleaner and more reliable
- The big breakthroughs is really making this intracortical stuff safer and long term. Its getting there. But this isnt it
The big wins out there - are in speech BCI. Thats hardcore. Even the two main studies doing this - each of the participants requires a LOT of training time to make a Machine model work efficiently.
Im not sure if this would work but look at https://tools.openaac.org/ see https://tools.openaac.org/demo.html and hit scan in top right for a demo
I'd be happy to offer more support on this..