Papers
3
Total Citations
18
H-Index
3
About
Guhnoo Yun is a researcher at the forefront of healthcare robotics, dedicated to developing intelligent systems that support aging populations and manage infectious disease risks. His work centers on creating autonomous monitoring and assistance technologies that alleviate the burden on care workers while enhancing patient safety. Yun’s major contributions include a pioneering system for detecting going-out activities in elderly dementia patients using RGB-D sensors, a project that has garnered 10 citations and laid the groundwork for home health care robots. He has also advanced fall detection—a critical safety function—by fusing 3-axis accelerometer and depth sensor data with LSTM networks, achieving high efficiency in a 2022 study. In response to the COVID-19 pandemic, Yun developed a heterogeneous robot-assisted service system for isolation wards, addressing both infection risks and staff workload in a 2023 usability study. His notable achievements include integrating multiple sensor modalities and deep learning to create practical, real-world solutions for healthcare challenges. With a growing citation record, Yun’s research is shaping the future of assistive robotics, making him a key figure in the intersection of technology and compassionate care.
Research Focus
Key Achievements
Top Papers
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