Changmin Lee

Papers

Total Citations

H-Index

About

Changmin Lee is a researcher in computer vision and human-robot interaction, with a focus on hand gesture recognition. His work addresses the challenge of enabling machines to interpret human gestures through visual input, a critical component for intuitive human-robot communication. In his notable 2014 paper, "Hand Shape Classification using Contour Distribution," Lee explored the recognition of finger spelling alphabets in sign language by analyzing the contour shape and orientation of the hand from visual images. This contribution, while modest in citation count (2 citations), lays foundational groundwork for vision-based gesture recognition systems. Lee’s research is particularly relevant for developing assistive technologies and enhancing natural interaction between humans and robots. His work demonstrates a commitment to bridging the gap between visual perception and machine understanding, offering insights that could advance applications in accessibility, robotics, and human-computer interfaces.