Download pdf
Using Arduino Uno and EMG Electrodes for Electromyographic Signal Measurement and Servo Control
- 1 School of Civil Aviation, Nanjing University of Aeronautics and Astronautics, Nanjing, China
* Author to whom correspondence should be addressed.
Abstract
This paper explores the integration of Arduino Uno with surface electromyography (sEMG) electrodes for measuring muscle electrical activity and controlling servo motors based on these signals. By analyzing electromyographic signals from various hand postures, such as opening and closing, signal variations were thoroughly evaluated. The study implements a servo control mechanism that adjusts the servo motor’s position based on computed root mean square (RMS) voltage values derived from EMG signals. The experimental results demonstrate that the servo control system effectively mirrors hand movements, providing a feasible solution for biomedical applications and human-machine interfaces. This research highlights the potential for using affordable hardware for sophisticated control systems and suggests future enhancements to improve system accuracy and applicability.
Keywords
EMG､Arduino IDE､Servo Control
[1]. Hermens, H. J., Freriks, B., & Merletti, R. (2000). European Recommendations for Surface Electromyography. Roessingh Research and Development, 1(2), 11-33.
[2]. Hogrel, J. Y. (2005). Surface electromyography in the assessment of muscle function: Theoretical and clinical aspects. Muscle & Nerve, 32(5), 506-515.
[3]. Doud, A. J., He, B., & Liu, J. (2012). EMG-based control of a robotic arm. IEEE Transactions on Neural Systems and Rehabilitation Engineering, 20(2), 139-148.
[4]. Choi, J., Lee, H., & Park, K. (2014). EMG-based control of a virtual reality environment. Journal of Rehabilitation Research and Development, 51(7), 105-114.
[5]. Zhao, J., Zhang, X., & Wang, L. (2020). Advances in wearable technology for EMG signal acquisition and processing. Sensors, 20(15), 4156.
[6]. Hsu, S. H., Liu, Y. Y., & Wu, T. L. (2015). PID control strategy for robotic applications. Journal of Mechanical Engineering, 61(3), 52-60.
Cite this article
Liu,W. (2025). Using Arduino Uno and EMG Electrodes for Electromyographic Signal Measurement and Servo Control. Theoretical and Natural Science,86,37-44.
Data availability
The datasets used and/or analyzed during the current study will be available from the authors upon reasonable request.
Disclaimer/Publisher's Note
The statements, opinions and data contained in all publications are solely those of the individual author(s) and contributor(s) and not of EWA Publishing and/or the editor(s). EWA Publishing and/or the editor(s) disclaim responsibility for any injury to people or property resulting from any ideas, methods, instructions or products referred to in the content.
About volume
Volume title: Proceedings of the 4th International Conference on Computing Innovation and Applied Physics
© 2024 by the author(s). Licensee EWA Publishing, Oxford, UK. This article is an open access article distributed under the terms and
conditions of the Creative Commons Attribution (CC BY) license. Authors who
publish this series agree to the following terms:
1. Authors retain copyright and grant the series right of first publication with the work simultaneously licensed under a Creative Commons
Attribution License that allows others to share the work with an acknowledgment of the work's authorship and initial publication in this
series.
2. Authors are able to enter into separate, additional contractual arrangements for the non-exclusive distribution of the series's published
version of the work (e.g., post it to an institutional repository or publish it in a book), with an acknowledgment of its initial
publication in this series.
3. Authors are permitted and encouraged to post their work online (e.g., in institutional repositories or on their website) prior to and
during the submission process, as it can lead to productive exchanges, as well as earlier and greater citation of published work (See
Open access policy for details).