Woo‐Hyuk Jang

Papers

Total Citations

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About

Woo‐Hyuk Jang is a researcher in human-robot interaction, with a focus on intuitive communication methods that bridge the gap between humans and machines. His most-cited work, "Human Robot Interaction Method by Using Hand Gesture Recognition" (2017), explores the use of natural hand gestures as a non-verbal interface for controlling robots, aiming to make robotic systems more accessible and responsive in real-world settings. Though his citation count is modest, Jang’s contribution lies in advancing gesture-based control systems, which are foundational for applications in assistive robotics, manufacturing, and collaborative environments. His research emphasizes the importance of reducing reliance on complex input devices, instead leveraging human innate behaviors to enhance interaction efficiency. By addressing challenges in gesture segmentation and recognition accuracy, Jang’s work supports the broader goal of seamless human-robot collaboration. His findings offer practical insights for developers and researchers seeking to design more user-friendly robotic interfaces, particularly in contexts where hands-free or remote operation is critical.