Minseong Noh

Daegu Gyeongbuk Institute of Science and Technology

Papers

Total Citations

H-Index

About

Dr. Minseong Noh is a rising scholar in the field of human motion sensing and ubiquitous computing, with a focused expertise in ultra-wideband (UWB) sensor technology. His most-cited work, "Real-Time Human Movement Recognition Using Ultra-Wideband Sensors" (2024, 3 citations), introduces a novel methodology for real-time classification of lower-limb movements. By leveraging UWB sensors, Dr. Noh’s research enables the precise detection of four distinct human states: stopped, walking, lingering, and transitions between sitting and standing. This contribution is particularly impactful for applications in smart environments, healthcare monitoring, and assistive robotics, where accurate, non-intrusive movement recognition is critical. Though early in his career, his work demonstrates a clear potential to advance real-time human-computer interaction and ambient intelligence. Dr. Noh’s approach stands out for its practicality and low-latency performance, offering a scalable solution for real-world deployment. As his citation count grows, his research is poised to influence future developments in sensor-based activity recognition and context-aware systems.