Papers
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Total Citations
128
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About
Yujung Ko is a pioneering researcher in the field of smart materials and human-machine interfaces (HMIs), with a focus on triboelectric sensors and bioinspired sensing systems. Her most cited work, the 2022 study on "Frequency-selective acoustic and haptic smart skin for dual-mode dynamic/static human-machine interface," has garnered 128 citations for its groundbreaking approach to noise-resistant biosignal transmission. Ko's major contribution lies in developing hierarchical macrodome/micropore/nanostructured triboelectric sensors that can selectively distinguish between acoustic and haptic inputs, enabling dual-mode HMIs that operate reliably even in noisy environments. This innovation addresses a critical bottleneck in wearable technology—the interference of surrounding noises with accurate signal detection. Her research bridges the gap between static touch sensing and dynamic acoustic recognition, opening new avenues for intuitive, skin-like interfaces in prosthetics, robotics, and virtual reality. With her work accumulating significant attention in the field of advanced functional materials, Ko is recognized for pushing the boundaries of smart skin technology, offering scalable solutions for next-generation interactive systems that seamlessly integrate with human physiology.
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Top Papers
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