Muscle activation and electromyography studies

Low-power chips decode muscle signals in real time for prosthetics

Neural networks running on low-power microcontrollers decoded surface muscle signals in real time, a requirement for wearable devices and prosthetic control. On a large-scale benchmark, the models matched or exceeded earlier accuracy with up to 5,000 times lower computational cost in resource-constrained settings.