Papers
1
Total Citations
36
H-Index
1
About
Dr. Su Young is a pioneering researcher in human-robot interaction, with a focused expertise in gesture-based communication systems. Her seminal 2006 paper, "Gesture analysis for human-robot interaction," has garnered 36 citations and established a foundational framework for enabling intuitive robot control through natural human movements. In this work, Young introduced a comprehensive four-stage gesture analysis pipeline—encompassing hand detection in bimanual movements, meaningful gesture segmentation from continuous image streams, feature extraction, and gesture recognition—that remains influential in the field. Her contributions have significantly advanced how robots interpret non-verbal cues, particularly through innovative applications of skin color analysis and image motion tracking. By bridging the gap between human expressiveness and machine understanding, Young's research has paved the way for more responsive and accessible robotic systems in assistive technology and collaborative environments. Her work continues to inspire new generations of researchers exploring the intersection of computer vision, artificial intelligence, and human-centered robotics.
Research Focus
Key Achievements
Top Papers
- 1Gesture analysis for human-robot interaction36 citations · 2006