Woosub Youm

Electronics and Telecommunications Research Institute

Papers

Total Citations

H-Index

About

Woosub Youm’s research sits at the intersection of wearable sensing, biomechanics, and neural engineering, with a focus on extracting physiological signals during natural human motion. His most cited work introduces a novel method for monitoring respiratory activity using wearable inertial sensors, enabling the detection of breathing patterns even during dynamic trunk movements like bending and standing. This contribution is critical for real-time health monitoring in daily life, with applications ranging from asthma management to panic attack detection. With 39 citations, this paper has established Youm as a key contributor to unobtrusive, wearable-based vital sign monitoring. In parallel, Youm has explored brain-to-machine communication, investigating how active brainwave patterns can be generated and decoded for EEG-based brain-computer interfaces. Though his work in this area is earlier-stage, it reflects a forward-looking interest in direct neural control systems. Together, Youm’s research demonstrates a commitment to bridging the gap between human physiology and technology—enabling smarter, more responsive wearable systems that can sense both the body’s movement and its internal state.