Sit-to-stand assistance system based on using EMG to predict movement

We propose herein a method to predict the sit-to-stand movement before a user leaves their seat. The proposed method is evaluated by using it for sit-to-stand and noisy movements, and the sit-to-stand movement is predicted with an average accuracy of 99.5%. Furthermore, based on this proposed method, we develop a prototype system to assist the sit-to-stand movement. To verify the effectiveness of this system, we test it with seven subjects. The results show that, based on the predicted movement, the assist starts about 130.4 ms before the user leaves the seat. In addition, the results confirm that, when using this assistance system, muscle activity is reduced by about 46% compared with the unassisted sit-to-stand movement.