Decoding High-Dimensional Finger Motion from EMG Using Riemannian Features and RNNs
arXiv:2604.22499v1 Announce Type: cross
Abstract: Continuous estimation of high-dimensional finger kinematics from forearm surface electromyography (EMG) could enable natural control for hand prostheses, AR/XR interfaces, and teleoperation. However, t…