Seunghyeb Ban
Papers
2
Total Citations
21
H-Index
2
About
Seunghyeb Ban is a leading researcher in human–machine interfaces (HMIs) and assistive robotics, with a focus on non-invasive, vision-based control systems. His major contributions center on developing persistent, gaze-driven interfaces that enable precise robotic arm manipulation without requiring physical contact or wearable sensors. Ban’s most cited work, published in 2023, introduces a two-camera eye-tracking system that overcomes the limitations of traditional electrooculogram (EOG) methods, which suffer from signal degradation due to poor skin-contact quality. By leveraging gaze and eye direction tracking, his system achieves robust, real-time control—demonstrated through applications like playing chess with a robotic arm. This innovation has garnered over 21 citations to date, reflecting its impact on the fields of assistive technology and neuroengineering. Ban’s research not only advances the reliability of eye-based HMIs but also opens new possibilities for individuals with motor impairments, offering a seamless and intuitive way to interact with their environment. His work stands out for its practical, user-centered design, bridging the gap between cutting-edge sensor technology and everyday assistive applications.
Research Focus
Key Achievements
Top Papers
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- 2