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

*此作品的通讯作者

科研成果: 书/报告/会议事项章节会议稿件同行评审

摘要

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.

源语言英语
主期刊名2021 IEEE International Conference on Mechatronics and Automation, ICMA 2021
出版商Institute of Electrical and Electronics Engineers Inc.
744-749
页数6
ISBN(电子版)9781665441001
DOI
出版状态已出版 - 8 8月 2021
活动18th IEEE International Conference on Mechatronics and Automation, ICMA 2021 - Takamatsu, 日本
期限: 8 8月 202111 8月 2021

出版系列

姓名2021 IEEE International Conference on Mechatronics and Automation, ICMA 2021

会议

会议18th IEEE International Conference on Mechatronics and Automation, ICMA 2021
国家/地区日本
Takamatsu
时期8/08/2111/08/21

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