Hyoyoung Jang

Korea Advanced Institute of Science and Technology

Papers

Total Citations

H-Index

About

Hyoyoung Jang is a researcher whose work lies at the intersection of computer vision and human-computer interaction, with a particular focus on intuitive, vision-based user interfaces. His most-cited paper, "View-invariant hand-posture recognition method for soft-remocon-system" (2005, 5 citations), addresses a critical challenge in natural HCI: enabling reliable hand-posture recognition regardless of the user's viewing angle. This contribution is foundational for developing "soft remocon" systems—gesture-based remote controls that replace physical devices—and for advancing human-robot interaction. By tackling view-point invariance, Jang's work helps bridge the gap between rigid, sensor-dependent interfaces and the fluid, natural gestures humans use in everyday communication. While his citation count reflects a focused, early-career impact, his research underscores the importance of robustness in vision systems, a key hurdle for widespread adoption of gesture control. Jang's contributions are particularly relevant for students and researchers exploring non-contact interfaces, offering a stepping stone toward more seamless and adaptive human-machine collaboration.