Reliable & Intuitive Upper-Limb Prosthetic Control System
This was my Capstone (graduation) Project as a Computer Engineer from NYU Abu Dhabi.
📝 Abstract
The physical design of upper-limb prosthetic devices has advanced rapidly to allow for very refined high Degree of Freedom (DoF) control. However, control strategies for these prostheses remain unsatisfactory—with long training periods and high rejection rates—preventing prosthetic users from achieving their devices’ full potential.
We propose an intuitive, reliable, transradial prosthetic control strategy that combines computer vision grasp detection with sEMG signal analysis, fused in real time. This approach reduces training time, improves reliability, and enhances intuitiveness.
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đź“„ Project Report
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Explore the methodology, experiments, and results in detail below: