Mohammad Banisaeed

Jordan University of Science and Technology

Papers

Total Citations

H-Index

About

Mohammad Banisaeed is a researcher in human-robot interaction and biomedical engineering, with a focus on developing intuitive, non-invasive control systems for robotic applications. His work centers on leveraging electromyography (EMG) signals to bridge the gap between human physiology and machine control, enabling natural gesture-based operation of industrial and assistive robots. In his notable 2019 study, Banisaeed proposed a muscle gesture computer interface (MGCI) that uses a commercial MYO armband to remotely control a 3D industrial robotic arm. By integrating LabVIEW and Visual Studio, he demonstrated how surface EMG signals could be translated into real-time robot navigation commands, offering a practical alternative to traditional joystick or keyboard interfaces. This contribution highlights his commitment to making robotic systems more accessible and efficient, particularly for users with limited mobility. While his citation count is still growing, Banisaeed’s work represents a foundational step toward seamless human-machine collaboration, with potential applications in manufacturing, rehabilitation, and teleoperation. His research continues to inspire innovations in wearable sensor technology and gesture-based control systems.