Yong-Honn Kim
Papers
1
Total Citations
4
H-Index
1
About
Yong-Honn Kim is a researcher in brain-computer interfaces (BCI), with a focus on practical applications for assistive robotics. His work centers on integrating motor imagery and P300-based BCI paradigms to enable real-time control of robotic systems using electroencephalogram (EEG) signals. Kim's most cited study, "Practical Use Technology for Robot Control in BCI Environment based on Motor Imagery-P300" (2013), demonstrates a hybrid approach that combines two common BCI methods to improve accuracy and usability for individuals with physical disabilities. This work, with 4 citations, lays groundwork for more intuitive, non-invasive control of assistive robots. By addressing the gap between laboratory BCI systems and real-world deployment, Kim contributes to making hands-free robot operation more accessible. His research is particularly relevant for developing communication and mobility aids for those with severe motor impairments, highlighting the potential of EEG-based technology to enhance quality of life.
Research Focus
Key Achievements
Top Papers
- 1