AI hype aside, this is one of those projects I'd like to know the open source stack of and the academic research behind. It's actually overlaps with an idea that started circling around in my head back when (deep) neural networks were the new hype cycle.
What's the relation between sensor density and resolution? If their array could give femtometer resolution, how much could you drop the density when you only needed to detect forearm muscle movements through the skim.
The way Ctl-labs was trying achieve the same results always seemed like it had fundamental physical limitations due to the nature of electromyography (to this software engineer...)
The diameter of a carbon atom is 154 picometers. Nobody's going down into the femtos. And you're not going to get atomic resolution, either, because humans move around too much and things like scanning electron microscopes need very stationary samples. Even microscopic vibrations can blur the final image.
Which isn't to say that you couldn't get very good resolution...
Just for illustration: Gravitational wave detection is on the femtometer scale. The proton is about that size. We can measure these things, but the machines are, let's say, "big".
What's the relation between sensor density and resolution? If their array could give femtometer resolution, how much could you drop the density when you only needed to detect forearm muscle movements through the skim.
The way Ctl-labs was trying achieve the same results always seemed like it had fundamental physical limitations due to the nature of electromyography (to this software engineer...)