Oleksiy Chepyk
Papers
1
Total Citations
2
H-Index
1
About
Oleksiy Chepyk is a researcher at the forefront of assistive technology and human–machine interaction, with a primary focus on brain–computer interfaces (BCIs) and electrooculography (EOG)-based control systems. His most cited work, “An Embedded EOG-based Brain Computer Interface System for Robotic Control” (2023), introduces a novel approach that leverages four distinct EOG signal patterns to generate rapid, accurate commands for robotic devices. This system is specifically designed to empower individuals with motor disabilities, offering a low-cost, embedded solution that translates eye movements into real-time robotic control. Chepyk’s contributions address a critical bottleneck in BCI technology—balancing speed and precision—while maintaining accessibility. Though his citation count is still growing, his work has been recognized for its practical engineering and potential to improve quality of life. By integrating embedded systems with physiological signal processing, Chepyk is helping to bridge the gap between neural interfaces and everyday assistive robotics, making him a promising voice in the field of rehabilitation engineering.
Research Focus
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Top Papers
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