Jung-Wei Hong

National Yang Ming Chiao Tung University

Papers

Total Citations

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About

Dr. Jung-Wei Hong is a pioneering researcher in the intersection of robotics and affective computing, with a primary focus on developing intelligent systems capable of human emotion recognition. His most impactful work centers on creating adaptive algorithms that enable robots to interpret human emotional states through facial expressions, even under challenging real-world conditions. His seminal 2007 paper, "A Fast Learning Algorithm for Robotic Emotion Recognition," which has garnered 9 citations, introduced a novel approach that allows robotic systems to accommodate diverse users in dynamic environments—a critical advancement for natural human-robot interaction. Complementing this, his work on "Facial Expression Recognition under Illumination Variation" (8 citations) addressed a fundamental challenge in the field: maintaining accurate emotion detection despite changing lighting conditions. This research is particularly significant for robotic applications operating in uncontrolled, everyday settings. Dr. Hong's contributions have laid essential groundwork for creating more socially perceptive robots, directly impacting the development of assistive technologies and autonomous systems that must interact seamlessly with humans. His work remains a key reference for researchers tackling the practical challenges of deploying emotion-aware robots in the real world.