kind of obsessed with the idea of an sEMG based subvocal recognition engine. some papers have gotten to like 70% accurate with 6 sensors. modern frontier models can handle a whole lot worse than that in terms of accuracy. I think a thin 3d printed headset with conical surface sensors
