Joung Hwan Mun

Sungkyunkwan University

Papers

1

Total Citations

3

H-Index

1

About

Dr. Joung Hwan Mun is a leading researcher in rehabilitation robotics and human-machine interfaces, with a focus on developing intelligent systems for assistive and therapeutic applications. His work centers on the intersection of biomechanics, sensor technology, and machine learning, particularly for upper-limb rehabilitation. A key contribution is his pioneering use of deep and heterogeneous transfer learning to decode movement intention from mechanical sensors—such as force-sensitive resistors and inertial measurement units—in exoskeletal systems. This approach reduces reliance on traditional surface electromyography, enabling more robust and practical control in real-world rehabilitation settings. His 2024 study on this topic has already garnered 3 citations, signaling growing impact in the field. Dr. Mun’s research advances the design of adaptive, user-responsive exoskeletons that can better assist patients with motor impairments, bridging the gap between laboratory prototypes and clinical deployment. His work is instrumental in shaping next-generation rehabilitation technologies that are both intelligent and accessible.

Research Focus

Key Achievements

1
H-Index
1
Papers
3
Total Citations
3
Avg Citations/Paper
🏆 Most Cited Paper
Improved Transfer Learning for Detecting Upper-Limb Movement Intention Using Mechanical Sensors in an Exoskeletal Rehabilitation System
3 citations · 2024
📈 Most Prolific Year: 2024 (1 Papers)
🤝 Key Collaborators: 3
🏛 Institutions: Sungkyunkwan University

Top Papers

  1. 1

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 13 days ago