The way relies on traditional interaction devices such as mouse, keyboard is easily subject to the constraints of operating environment and different scenes, it has become a barrier which prevent the development of VR and new display technology. Thus an interactive intent-aware method based on analysis of SEMG method is presented in this paper. Due to the real-time recognition of continuous surface EMG signals could not split or recognize signal by using the active segment result from singular activities. Use a context segmentation method of continuous surface EMG signal to do the real-time signal identification. At last, classified interactive intentions of fuzzy decision of the identified signal. Interact and control with devices by using data of the identified signals. Human-computer interaction which is based on SEMG analysis method could be used to identify different intentions well through analyzing experiments. The accuracy rate of interactive identification can be above 95%.