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Research on Precise Servo Control of Hand Motion Real-time Detection Based on Surface Electromyography Signals Integration and Analysis of Muscle Response to Workout Exercises
- 1 University of Illinois at Urbana-Champaign
* Author to whom correspondence should be addressed.
Abstract
This study explores the integration of surface electromyography (sEMG) signals for precise servo control in real-time hand movement detection. It also further utilizes the feedback system designed to measure effects of workout exercises on forearm sEMG signals and delves into how different time and types of workouts affect forearm muscle response. Medical electrodes captured sEMG signals from forearm muscles and converted them into digital signals using an Arduino UNO R3 microcontroller board and an Olimex EMG shield to monitor hand pose variations. The digital signals were then processed to calculate the root mean square (RMS) voltage, which was then used to control the position of a servo motor. The implementation of a proportional-derivative (PD) controller further enhanced the accuracy and stability of the servo movements. Then the feedback system was used to measure how sEMG signals vary due to hand opening and closing before and after a range of workout exercises with varying time and workout types, and the results were compared to reach the conclusion that both workout time and type influences how forearm muscles respond to hand closing and opening. Future work may explore the effect of more time and types of workouts on muscle response, expand the range of test subjects, and improve the accuracy and stability of the test system
Keywords
surface electromyography, Olimex, servo control, workout
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Cite this article
Zhang,X. (2025). Research on Precise Servo Control of Hand Motion Real-time Detection Based on Surface Electromyography Signals Integration and Analysis of Muscle Response to Workout Exercises. Theoretical and Natural Science,87,1-14.
Data availability
The datasets used and/or analyzed during the current study will be available from the authors upon reasonable request.
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Volume title: Proceedings of the 4th International Conference on Computing Innovation and Applied Physics
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