国产欧美精品一区二区,中文字幕专区在线亚洲,国产精品美女网站在线观看,艾秋果冻传媒2021精品,在线免费一区二区,久久久久久青草大香综合精品,日韩美aaa特级毛片,欧美成人精品午夜免费影视

Aiming at the problem that the current brain-computer interface has a single input information source, low feature recognition accuracy and few output control commands, this paper proposes a robotic arm control system based on EEG and EMG signals. Firstly, the unilateral arm myoelectric EMG and the left and right hand motion imaging EEG are acquired synchronously, and then feature extraction and classification recognition are performed respectively. Finally, the classification model is applied to the real-time control of the robot arm. The experimental results show that all the 20 subjects achieved real-time control of the manipulator, and the accuracy of each action recognition reached more than 85%. The system model enriches the human-computer interaction-mixed brain-computer interface diversity, and provides a theoretical basis and practical basis for the brain-computer interface technology for robotic control.