Chang Hong Liu

Papers

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About

Chang Hong Liu’s research lies at the intersection of computer vision, human-robot interaction, and intelligent systems, with a focus on enabling machines to perceive and respond to human cues. His major contributions include developing an intelligent vision system for human-robot interfaces, where he pioneered methods for detecting human faces and localizing eyes using skin color attributes and geometric facial analysis—a foundational approach for non-verbal communication between humans and robots. He further advanced this work with a vision-based gesture recognition system for human-robot symbiosis, employing connected component analysis of skin color segmentation in the HSV color model and neural networks to interpret facial gestures. While his most-cited paper, “Intelligent Vision System For Human-Robot Interface” (2007), has garnered 8 citations, and his gesture recognition work has 3 citations, these contributions represent early efforts in making robots more intuitive and responsive. Liu’s research is particularly notable for its practical, real-time applications in assistive robotics and human-centered automation, laying groundwork for more natural human-machine collaboration.