Mohd Norzali Haji Mohd
Papers
2
Total Citations
31
H-Index
2
About
Dr. Mohd Norzali Haji Mohd is a researcher at the forefront of human-robot interaction and assistive technologies, with a focus on computer vision, deep learning, and rehabilitation robotics. His most cited work, “3D Hand Gestures Segmentation and Optimized Classification Using Deep Learning” (2021, 27 citations), introduces a robust system for recognizing hand gestures to intuitively control Unmanned Aerial Vehicles (UAVs), bypassing traditional electronic controls and enhancing operator ease. This contribution addresses critical challenges in gesture segmentation and classification, advancing applications in robotics and computer vision. Dr. Mohd also made notable strides in medical robotics with his paper “Preliminary Design of a Robotic Exoskeleton for Arm Rehabilitation” (2018, 4 citations), where he developed a low-cost, 2-degree-of-freedom exoskeleton integrated with force-sensitive resistors to measure patient effort during therapy. This work underscores his commitment to accessible, user-centered rehabilitation solutions. Through these projects, Dr. Mohd demonstrates a clear impact on both autonomous systems and assistive robotics, bridging deep learning and mechanical design to create practical, real-world innovations.
Research Focus
Key Achievements
Top Papers
- 1
- 2Preliminary Design of a Robotic Exoskeleton for Arm Rehabilitation4 citations · 2018