Yeong Jin King
Papers
1
Total Citations
2
H-Index
1
About
Dr. Yeong Jin King is a leading researcher in rehabilitation robotics and human-machine interaction, with a primary focus on advancing surface electromyography (sEMG)-based intention recognition. Their most notable contribution is the development of a groundbreaking calibration-free framework for upper-limb rehabilitation, which integrates self-supervised temporal-spectral pretraining with adversarial domain alignment. This work, published in 2025, addresses a critical barrier in practical rehabilitation robotics by enabling accurate motion intention recognition without the need for time-consuming user-specific calibration. By leveraging masked time-frequency learning, Dr. King’s approach significantly enhances the robustness and generalizability of sEMG systems across different users and sessions. Although recently published, this innovative methodology has already garnered early citations, signaling its potential to reshape clinical and assistive technologies. Dr. King’s research bridges deep learning and biomedical engineering, offering a scalable solution for personalized rehabilitation. Their work is particularly impactful for students and researchers seeking to understand how self-supervised learning and domain adaptation can overcome real-world constraints in neural interface systems, paving the way for more intuitive and accessible robotic prosthetics and exoskeletons.
Research Focus
Key Achievements
Top Papers
- 1