Mohd Shahrieel

Technical University of Malaysia Malacca

Papers

Total Citations

H-Index

About

Mohd Shahrieel is a researcher whose work sits at the intersection of biomedical signal processing and robotics, with a particular focus on electromyography (EMG)-based control systems. His most cited paper, "Design and Construction of 4-DOF EMG-Based Robot Arm System" (2019, 5 citations), addresses a critical limitation in traditional robotic controllers by harnessing muscle-generated electrical signals for intuitive, myoelectric device operation. This contribution is part of a broader effort to develop more natural and responsive human-machine interfaces, particularly for assistive and prosthetic technologies. Shahrieel’s research explores how EMG signals can be effectively processed and translated into precise, multi-degree-of-freedom robotic movements, offering an alternative to conventional control methods that often lack the dexterity and adaptability required for real-world applications. While his citation count is modest, his work is foundational in advancing the practical implementation of myoelectric control systems, a field with significant potential for rehabilitation engineering and human augmentation. Shahrieel’s dedication to bridging the gap between biological signals and mechanical systems underscores his role in pushing the boundaries of accessible, user-centered robotic design.