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In order to reduce the tedium of traditional rehabilitation training, this paper designed a real-time control system using wireless surface electromyography signal to control kitchen in virtual reality environment. This system was built in graphical user interface which based on MATLAB. It used the mean square value and moving average window method detected and segmented real-time surface electromyography signal. It used the mean absolute value of the amplitude and singular values of wavelet coefficient as feature vectors. It used support vector machine to train model and identify action. Finally, it completed the control of the virtual kitchen. Experiment results show that the system can complete the control of virtual kitchen actions and the average recognition rata is 90.31%. This system can be used for patients who need muscle rehabilitation training, and provide them with an immersive and realistic virtual kitchen living scenes. So it has positive significance for the rehabilitation of patients.