Muhammad Ilhamdi RUSYD
Papers
1
Total Citations
3
H-Index
1
About
Muhammad Ilhamdi Rusyd is a researcher specializing in biomedical engineering and assistive robotics, with a focus on developing human-machine interfaces for individuals with physical disabilities. His most cited work, "Using gaze point estimation and blink detection, to control robot arm by use of the EOG signal" (2014), introduced a novel system that translates electrooculography (EOG) signals from eye movements and blinks into precise commands for a robotic arm. This research, which has garnered 3 citations, demonstrates his early contributions to non-invasive, low-cost assistive technologies that enhance independence for people with motor impairments. By integrating gaze point estimation with blink detection, Rusyd’s work offers a practical solution for controlling robotic systems without requiring hand or voice input. His research sits at the intersection of signal processing, human-computer interaction, and rehabilitation engineering, aiming to bridge the gap between biological signals and machine control. While his citation count is modest, his work represents a foundational step in accessible robotics, inspiring further exploration into EOG-based control systems for assistive devices.
Research Focus
Key Achievements
Top Papers
- 1