Muhammed Bilal Abbasi
Papers
1
Total Citations
15
H-Index
1
About
Muhammed Bilal Abbasi is a researcher at the forefront of human-machine interaction, with a primary focus on gesture recognition and sensor-based monitoring systems. His work addresses the critical challenge of acquiring and interpreting physiological signals for applications in prosthetics, robotic telemanipulation, and rehabilitation. Abbasi’s most notable contribution, the 2020 paper “Simultaneous Pressure Sensors Monitoring System for Hand Gestures Recognition,” has garnered 15 citations, demonstrating its relevance in advancing non-invasive, real-time gesture prediction. By developing a system that leverages simultaneous pressure sensing, he has provided a robust framework for identifying muscle-related signals and corresponding hand gestures, directly impacting the design of more intuitive prosthetic controls and assistive technologies. This work bridges the gap between sensor engineering and practical biomedical applications, offering a scalable solution for enhanced dexterity in robotic systems. Abbasi’s research continues to influence the field of biomedical signal processing, making him a key figure in the evolution of responsive, user-centered interfaces for rehabilitation and robotic manipulation.
Research Focus
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Top Papers
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