Volume 37, Number 3, June 2019
|Page(s)||509 - 514|
|Published online||20 September 2019|
Discrete Motion Prediction Based on EMG Signals
School of Mechanical Engineering, Northwestern Polytechnical University, Xi’an, 710072, China
Most of the current rehabilitation equipment is bulky and slow to respond. Therefore, we designed a portable three-degree-of-freedom exoskeleton and discrete-mode control system for this situation. The three degrees of freedom of the exoskeleton robot arm was the wrist swing, the forearm lateral movement, and the elbow rotation. We collected the EMG signals of the biceps and triceps, then filtered the acquired EMG signals and extracted features in order to obtain effective information that reflected the activity intentions. Based on this, a discrete motion control method using the EMG signals to achieve elbow rotation was designed. Experiment suggests that the average pattern recognition accuracy rate can reach more than 90%.
Key words: EMG signal / three degrees of freedom / elbow joint / discrete motion control mode
关键字 : 肌电信号 / 三自由度 / 肘关节 / 离散运动控制模式
© 2019 Journal of Northwestern Polytechnical University. All rights reserved.
This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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