Xiaoming Yin

Papers

Total Citations

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About

Xiaoming Yin is a researcher whose work has made meaningful contributions to the field of human-computer interaction, with a particular focus on computer vision and gesture recognition systems. His most recognized work, "Hand Gesture Segmentation, Recognition and Application" (2002), demonstrates his early investment in developing more natural and intuitive interfaces between humans and machines — a challenge that remains highly relevant in today's technological landscape. In this foundational paper, Yin introduced novel approaches to hand image segmentation from complex backgrounds, 2D hand posture recognition, and 3D hand gesture reconstruction, collectively advancing the sophistication of vision-based interaction systems. With 25 citations, this work has reached fellow researchers working at the intersection of computer vision, machine learning, and interface design. Yin's research reflects a broader commitment to making technology more accessible and responsive to natural human behavior, moving beyond traditional input devices toward systems that can interpret physical gestures with greater accuracy and nuance. His contributions offer a valuable reference point for students and researchers exploring gesture-driven interfaces and real-time visual recognition systems.