Abstract: In recent years, surface electromyography (sEMG) signals have been recognized as a type of signal with significant practical implications not only in medicine but also in the field of science and engineering for functional rehabilitation. This study focuses on understanding the application of surface electromyography signals in controlling a robotic arm for assisting disabled individuals in Vietnam. The raw sEMG signals, collected using appropriate sensors, have been processed using an effective method that includes several steps such as A/D converting and the use of band-pass and low-pass filters combined with an envelope detector. To demonstrate the meaningful effectiveness of the processed sEMG signals, the study has designed a robotic arm model with complex finger movements similar to those of a human. The experimental results show that the robotic arm operates effectively, with fast response times, meeting the support needs of disabled individuals.

Ngoc–Khoat Nguyen, Thi–Mai–Phuong Dao, Van–Kien Nguyen, Van–Hung Pham, Van–Minh Pham and Van–Nam Pham, “Novel Design of a Robotic Arm Prototype with Complex Movements Based on Surface EMG Signals to Assist Disabilities in Vietnam” International Journal of Advanced Computer Science and Applications(IJACSA), 15(3), 2024. http://dx.doi.org/10.14569/IJACSA.2024.0150348

@article{Nguyen2024,
title = {Novel Design of a Robotic Arm Prototype with Complex Movements Based on Surface EMG Signals to Assist Disabilities in Vietnam},
journal = {International Journal of Advanced Computer Science and Applications},
doi = {10.14569/IJACSA.2024.0150348},
url = {http://dx.doi.org/10.14569/IJACSA.2024.0150348},
year = {2024},
publisher = {The Science and Information Organization},
volume = {15},
number = {3},
author = {Ngoc–Khoat Nguyen and Thi–Mai–Phuong Dao and Van–Kien Nguyen and Van–Hung Pham and Van–Minh Pham and Van–Nam Pham}
}