A Deep Spatio-Temporal Model for Decoding Simultaneous and Continuous Hand Movements from Surface Electromyography
Predicting continuous finger kinematics from surface electromyography (sEMG) signals provides crucial input for the intuitive proportional control of extreme upper-limb robotic prostheses. However, this regression task remains a complex challenge due to the noisy and non-linear dynamics of muscle activations. In this s...