Papers
1
Total Citations
25
H-Index
1
About
Dr. Farid Harizi is a leading researcher in embedded systems and biomedical engineering, with a focus on intelligent prosthetic technologies. His most-cited work, "Implementing Hand Gesture Recognition Using EMG on the Zynq Circuit" (2023, 25 citations), introduces a groundbreaking hardware design for real-time hand gesture recognition on the Xilinx Zynq platform. This system is specifically engineered for integration into robotic prostheses, aiming to restore dexterous hand function for upper-limb amputees. By leveraging electromyography (EMG) signals and efficient hardware acceleration, Dr. Harizi’s architecture enables rapid, accurate gesture classification, directly improving users’ quality of life. His contributions bridge the gap between advanced signal processing and practical, low-power embedded solutions, making him a pivotal figure in assistive robotics. With a growing citation impact, Dr. Harizi’s work continues to inspire innovations in human-machine interfaces and rehabilitation engineering, offering a promising pathway toward more intuitive and responsive prosthetic devices.
Research Focus
Key Achievements
Top Papers
- 1Implementing Hand Gesture Recognition Using EMG on the Zynq Circuit25 citations · 2023