Hee-Su Kang

Papers

Total Citations

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About

Hee-Su Kang is a researcher whose work bridges human-machine interaction and sensory quality engineering. His primary research areas include intuitive robot control via biosignal processing and the psychophysical evaluation of product feedback systems. Kang’s major contribution lies in pioneering a method for remote robot navigation using wireless electromyogram (EMG) and acceleration sensors attached to the human arm. This approach, detailed in his 2011 paper (9 citations), enables users to steer robots through natural, car-like arm motions—a significant step toward more accessible and intuitive human-robot interfaces. By processing EMG signals to determine control intent, Kang effectively translates biological signals into machine commands. In a parallel line of inquiry, he has also investigated the sound and haptic quality of automotive seat belts (2015, 6 citations), developing an index to quantify user perception of these safety features. This work demonstrates his versatility in applying rigorous measurement to subjective user experience. Though his citation counts are modest, Kang’s research is notable for its practical, user-centered approach to robotics and product design, offering valuable insights for students and researchers interested in biosignal-based control or sensory quality assessment.