F.A. Elmisery

Papers

Total Citations

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About

F.A. Elmisery’s research bridges human-robot interaction and intelligent control systems, with a focus on making robotic technologies more intuitive and accessible. His most impactful work, “Motion Control of Robot by using Kinect Sensor” (2014, 28 citations), pioneered a gesture-based human-robot interface that translates human arm movements in 3D space into robotic actions using Kinect sensors and Arduino microcontrollers. This contribution demonstrated a practical, low-cost approach to remote robot control, enabling natural and responsive manipulation. Elmisery further extended robotics into healthcare with his 2018 prototype system for robot-aided medical ultrasound diagnosis, showcasing how robotic assistance can support radiologists in diagnostic procedures. Earlier, he explored neural network sequence learning for speech recognition (2008), contributing to foundational work in intelligent system learning. Though his citation counts are modest, Elmisery’s work is notable for its hands-on, application-driven approach—combining sensor-based control, embedded systems, and medical robotics. His research offers valuable insights for students and engineers interested in developing accessible robotic interfaces and real-world assistive technologies.