Aiming at the problems of boring training contents of traditional wrist rehabilitation training methods and low training efficiency due to low motivation of users to participate in training, a training system of myoelectric control virtual reality game was designed. The sEMG signals of wrist movement are collected and the wrist joint movement intention is decoded through the principle of muscle synergy for the control of the virtual reality game; random disturbance force is introduced in the virtual reality game, and the interaction with the virtual reality environment is realized through the way of impedance control, which makes users explore different movement control methods. The feasibility of the system was verified through model calibration experiments, and training experiments were conducted to assess the training effect by evaluating the task completion time as well as the path efficiency. The experimental results show that the task completion time was reduced by 58%; the path efficiency was improved by 49%, and the designed training system enables users to perform motion control in a more efficient way and improves the training efficiency.