Myung-Ho Ju

Papers

Total Citations

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About

Myung-Ho Ju is a researcher whose work sits at the intersection of human-robot interaction, computer vision, and affective computing. His primary research focuses on enabling more natural and emotionally resonant communication between humans and machines, particularly through the interpretation of non-verbal cues. Ju's major contributions lie in developing robust methods for robots to understand and respond to human emotional states using facial expressions, face pose, and hand gestures. His 2012 paper on emotional interaction with a robot, which has garnered 7 citations, introduced a multimodal approach that combined these cues for more effective human-robot communication. Earlier work, including his 2007 paper on face pose recognition for robot control (5 citations), established foundational techniques in manifold learning for robust pose estimation. Ju has also explored the application of these interaction techniques to entertainment, as seen in his work on face and gesture-based interaction for displaying comic books. His research is notable for its practical approach to creating more intuitive and emotionally aware robotic systems, contributing to the broader goal of seamless human-robot collaboration.