This project aims to build a model of human’s upper limb muscular system using learning-based system identification. The research work will try to explain the dynamics behind multi-channels EMG signals and the control mechanism behind upper limb muscular system. The outcomes of this project could help us get a better understanding and improve the control of upper limb prosthesis. The used methods are neural state-space identification and graph neural network, etc.