H. Boumridja

Papers

Total Citations

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About

Dr. H. Boumridja is a leading researcher in embedded systems and biomedical engineering, with a focused expertise in hardware-accelerated signal processing for assistive technologies. Their most cited work, "Implementing Hand Gesture Recognition Using EMG on the Zynq Circuit" (2023, 25 citations), represents a significant contribution to the field of prosthetic control. In this landmark study, Dr. Boumridja proposed a novel hardware architecture for real-time hand gesture recognition, implemented on the Xilinx Zynq platform (XC7Z020). This design is specifically tailored for integration into robotic prostheses, aiming to restore dexterous hand function and improve daily living for upper-limb amputees. By offloading complex electromyographic (EMG) signal processing onto a field-programmable gate array (FPGA), the work achieves the low-latency, high-reliability performance critical for practical prosthetic applications. Dr. Boumridja’s research bridges the gap between advanced machine learning algorithms and deployable, energy-efficient hardware, marking a vital step toward intelligent, responsive prosthetic limbs that can seamlessly interpret a user’s muscle signals.