利用表面机电信号的非接触式操控手机系统设计

System Design on Non-contact Control of Mobile Phone Based on sEMG

设计了一套基于表面肌电信号(sEMG)的非接触式操控手机系统。利用STM32控制表面肌电电极采集sEMG,通过在执行不同手势时sEMG本身的差异,使用BP神经网络分类器实现手势识别并操控手机。实验结果表明,该系统具有良好的稳定性,且响应速度快,平均识别率达到92%,符合预期。

A non-contact mobile phone system based on Surface Electromyography(sEMG)is designed.STM32 is used for control surface electromyographic electrodes which are used for data acquisition,and the system using BP neural network classifier to recognize the gesture models and control mobile phones based on the difference of sEMG signal.The experiment results show that the system runs stably and responds quickly and the recognition accuracy is 92%,that achieves the goal smoothly.