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

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

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.

Original languageEnglish
Title of host publication2021 IEEE International Conference on Mechatronics and Automation, ICMA 2021
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages744-749
Number of pages6
ISBN (Electronic)9781665441001
DOIs
Publication statusPublished - 8 Aug 2021
Event18th IEEE International Conference on Mechatronics and Automation, ICMA 2021 - Takamatsu, Japan
Duration: 8 Aug 202111 Aug 2021

Publication series

Name2021 IEEE International Conference on Mechatronics and Automation, ICMA 2021

Conference

Conference18th IEEE International Conference on Mechatronics and Automation, ICMA 2021
Country/TerritoryJapan
CityTakamatsu
Period8/08/2111/08/21

Keywords

  • EMG signal
  • human-computer interaction

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