Ji-Heon Oh

Kyung Hee University

Papers

1

Total Citations

52

H-Index

1

About

Dr. Ji-Heon Oh is a leading researcher in the intersection of wearable robotics and intelligent control systems, with a primary focus on human-robot interaction and assistive technologies. His most impactful work centers on real-time human activity recognition for wearable exoskeleton robots, where he has pioneered the integration of IMU and encoder sensor data with deep learning networks. His landmark 2022 paper on this topic has garnered 52 citations, establishing a foundational approach for enhancing robotic control assistance in daily tasks. Dr. Oh's contributions are particularly notable for bridging the gap between sensor fusion and practical, real-time implementation in assistive robotics. His research addresses critical challenges in enabling exoskeletons to intuitively understand and respond to human motion, thereby improving user safety and autonomy. By developing robust activity recognition systems that operate in real-time, Dr. Oh has advanced the field toward more responsive and adaptive wearable robots. His work holds significant promise for applications in rehabilitation, industrial support, and mobility assistance for individuals with physical impairments, positioning him as a key innovator in the next generation of intelligent exoskeleton technologies.

Research Focus

Key Achievements

1
H-Index
1
Papers
52
Total Citations
52
Avg Citations/Paper
🏆 Most Cited Paper
Real-Time Human Activity Recognition with IMU and Encoder Sensors in Wearable Exoskeleton Robot via Deep Learning Networks
52 citations · 2022
📈 Most Prolific Year: 2022 (1 Papers)
🤝 Key Collaborators: 9
🏛 Institutions: Kyung Hee University

Top Papers

  1. 1

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 13 days ago