Keun Chang Kwak

Electronics and Telecommunications Research Institute

Papers

Total Citations

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About

Keun Chang Kwak is a researcher specializing in human-robot interaction, gesture recognition, and intelligent systems. His foundational work in gesture analysis has made significant contributions to the field of natural human-machine communication, particularly through his development of comprehensive frameworks for interpreting human gestures in robotic contexts. His most recognized publication, "Gesture Analysis for Human-Robot Interaction" (2006), which has garnered 36 citations, introduced a systematic four-stage pipeline encompassing hand detection in bimanual movements, meaningful gesture region segmentation, feature extraction, and gesture recognition — leveraging techniques such as skin color analysis and image motion processing. This work addressed critical challenges in enabling robots to intuitively understand human communicative intent through non-verbal cues, laying groundwork for more natural and accessible human-robot interfaces. Kwak's research reflects a broader commitment to bridging the gap between human behavior and machine perception, contributing to advancements in computer vision and intelligent robotics. His contributions remain relevant as the demand for seamless human-robot collaboration continues to grow across industrial, assistive, and social robotics domains.