Papers
2
Total Citations
76
H-Index
2
About
Sung Lee is a leading researcher at the intersection of wearable sensing, digital twin technology, and occupational safety. His work focuses on developing intelligent systems to monitor and protect human health in dynamic work environments. Lee’s most influential contribution is the creation of a wearable inertial sensor system for extracting and analyzing respiratory motion during trunk movement—a breakthrough that enables continuous, non-invasive breathing monitoring during everyday activities like bending and standing. This work, cited 39 times, has critical applications for detecting asthma attacks and panic episodes in real-world settings. More recently, Lee has pioneered the use of human-focused digital twins for workplace safety, as outlined in his 2023 survey (37 citations). He explores how robotics and automation introduce new risks, and how virtual replicas of workers can predict and prevent occupational injuries. By bridging sensor technology with digital simulation, Lee is shaping the future of proactive health monitoring. His research offers practical tools for industries seeking to reduce illness and accidents, making him a key voice in the evolution of safe, human-centered automation.
Research Focus
Key Achievements
Top Papers
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