Jae Sik Chang

Papers

Total Citations

H-Index

About

Dr. Jae Sik Chang is a robotics researcher whose work bridges computer vision and human-robot interaction. His key research areas include mobile robot control, gesture recognition, and vision-based tracking systems. His most cited work, "Mobile robot control using hand-shape recognition" (2008, 7 citations), presents an innovative approach to controlling walking robots through real-time hand gesture recognition. The paper introduces a sophisticated vision system that uses an active contour model combined with mean shift tracking to accurately detect and follow hand boundaries from a moving camera—a challenging problem in dynamic environments. This contribution demonstrates Dr. Chang's expertise in developing practical, vision-driven interfaces for intuitive robot control. While his citation count reflects a focused research trajectory, his work on hand-shape recognition represents an important step toward more natural human-robot communication, particularly in mobile robotics applications where traditional control methods are impractical. His research continues to influence the development of gesture-based interfaces for autonomous systems.