Min-Shine Zeng

Papers

Total Citations

H-Index

About

Min-Shine Zeng is a pioneering researcher in human-machine interaction and underwater communication technologies. His work focuses on developing intuitive interfaces for extreme environments, with a particular emphasis on diver-machine systems. Zeng's most notable contribution is his 2004 study on hand signal recognition for diver-machine interfaces, which addresses the critical challenge of underwater communication where traditional voice systems are impractical. This foundational work, cited 5 times, proposes an innovative solution: instead of relying on cumbersome communication masks with voice modulation circuits, Zeng explores visual hand gesture recognition as a more natural and reliable method for divers to interact with equipment and each other. His research bridges computer vision, ergonomics, and marine engineering, offering practical pathways for safer, more efficient underwater operations. While his citation count reflects the niche nature of this specialized field, Zeng's insights have informed subsequent developments in gesture-based control systems for harsh environments, demonstrating lasting relevance in human-robot interaction and assistive technologies for professionals working in acoustically challenging settings.