Jung-Hoon Sul
Papers
2
Total Citations
22
H-Index
2
About
Jung-Hoon Sul is a leading researcher at the intersection of biomedical engineering and human–machine interaction, with a primary focus on electromyography (EMG) signal processing for wearable robotic exoskeletons. His most-cited work, "Electromyography Signal Acquisition, Filtering, and Data Analysis for Exoskeleton Development" (2025, 17 citations), provides a comprehensive pipeline for capturing neuromuscular signals to enable intuitive, responsive exoskeleton control—a foundational contribution to assistive robotics. Sul further advances the field with "Advances in EMG Signal Processing and Pattern Recognition" (2026, 5 citations), which surveys cutting-edge techniques like high-density flexible electrodes and embedded systems, addressing key challenges in rehabilitation and human–machine interfacing. His research bridges the gap between raw biosignal acquisition and practical, real-time control, directly impacting the development of next-generation prosthetics and wearable assistive devices. By systematically tackling noise reduction, feature extraction, and pattern recognition, Sul’s work has laid critical groundwork for more natural and reliable neuromuscular interfaces. His contributions are essential reading for students and engineers developing intuitive, muscle-driven robotic systems.
Research Focus
Key Achievements
Top Papers
- 1
- 2