Semi-customized flexible rehabilitation training gloves based on EMG control
Aiming at the problems of poor comfort,narrow application range and poor rehabilitation training effect of the existing rehabilitation training gloves,this paper designs semi-customized reha-bilitation training gloves composed of flexible actuators and EMG control systems.Based on Yeoh theory,the actuator bending model is established,and the actuator air chamber is analyzed with the help of finite element simulation to study the influence of the actuator air chamber pressure,height and the thickness of bottom layer on the bending angle.The geometric parameters of the flexible actu-ator are selected,and the connecting parts with adjustable length are made by 3D printing technology to realize semi-customization.Myoware sensor is used to collect sEMG and filter it.Arduino UNO Micro Control Unit performs feature extraction,and the support vector machine(SVM)algorithm is used to recognize the movement intention of the subjects,and the pneumatic system is controlled to drive the rehabilitation training gloves according to the recognition results.The results show that the SVM algorithm has high classification accuracy.The semi-customized flexible rehabilitation training gloves have simple structure,high fit with the hand and reliable performance,which are effective in the active mirror rehabilitation training.
EMG controlrehabilitation training glovessoft robot
万方数据
维普
