Real-Time Finger Force Estimation Robust to a Perturbation of Electrode Placement for Prosthetic Hand Control.

In the use of real-time myoelectric controlled prostheses, the low accuracy of the user's intention estimation for simultaneous and proportional control (SPC) and the vulnerability to electrode shifts make application to real-world scenarios difficult. To overcome this barrier, we propose a method to estimate muscle unit activation in real time through neurophysiological modeling of the forearm. We also propose a high-performance finger force intention estimation model that is robust to perturbation of electrode placement based on estimated muscle unit activation.