Research on Vehice Motion Control Based on Electromyography Signal Collected and Processed by MCU and Computer Platform

Baofeng Gao, Binkai Yang, Kaijun Guo, Tao Chen, Mingliang Zheng
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Abstract

Human-computer interaction technology connects people with computers or other electronic devices to reflect people's will. With the advancement of science and technology, the means of human-computer interaction have become diversified, bringing a lot of convenience to people's lives. The application research on bioelectric signals is becoming more and more extensive, and its application in the field of human-computer interaction has become a research hot spot. EMG is a kind of bioelectric signal, which is distinguishable. Therefore, it is theoretically a feasible method to recognize specific patterns of muscle actions through EMG signals, and then convert them into control instructions for external devices. We designed the app-assisted control and display on the Android side of the mobile phone through the open source platform, and transmitted the processed EMG data to the robot car to control its movement through serial communication.
基于单片机和计算机平台采集和处理肌电信号的车辆运动控制研究
人机交互技术将人与计算机或其他电子设备连接起来,以反映人的意志。随着科学技术的进步,人机交互的手段变得多样化,给人们的生活带来了很多便利。生物电信号的应用研究越来越广泛,其在人机交互领域的应用已成为研究热点。肌电图是一种生物电信号,具有可识别性。因此,通过肌电信号识别肌肉动作的特定模式,并将其转化为对外部设备的控制指令,在理论上是一种可行的方法。我们通过开源平台在手机Android端设计app辅助控制和显示,并将处理后的肌电数据通过串行通信传输给机器人汽车控制其运动。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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