Multi-scale attention patching encoder network: a deployable model for continuous estimation of hand kinematics from surface electromyographic signals

Our model can predict up to 40 hand movements while achieving the highest predicting accuracy compared with other methods. Besides, the lightweight design strategy brings an improvement in inference speed, which enables the model to be deployed on wearable devices. All these promotions imply that sMAPEN holds great potential in HMI.