Hanbyeol Yoon
Papers
1
Total Citations
77
H-Index
1
About
Hanbyeol Yoon is a leading researcher in human-computer interaction and motion tracking, with a focus on overcoming the limitations of conventional sensing technologies. Her key research areas include visual-inertial hand motion tracking, robust sensor fusion, and occlusion-tolerant interaction systems. Yoon’s most notable contribution is her 2021 paper on visual-inertial hand motion tracking, which has garnered 77 citations for its novel approach to maintaining accuracy under severe occlusion, electromagnetic interference, and physical contact—challenges that typically degrade performance in vision-based and IMU-based systems. By integrating visual and inertial data with advanced algorithms, she has advanced the reliability of hand and finger tracking in real-world environments, enabling more natural and uninterrupted interactions in virtual and augmented reality. Her work has been recognized for its practical impact, offering robust solutions for applications ranging from immersive gaming to assistive technologies. Yoon’s research continues to push the boundaries of sensor fusion, making her a key figure in the development of resilient, high-fidelity motion capture systems.
Research Focus
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Top Papers
- 1