Dokyoon Yoon
Papers
1
Total Citations
12
H-Index
1
About
Dokyoon Yoon is a leading researcher in biomedical engineering and human–machine interaction, with a primary focus on surgical robotics and motion prediction. His most influential work introduces a groundbreaking decomposition-and-ensemble framework combined with deep neural networks to predict voluntary hand motion during microsurgery. This innovation is critical for enabling surgical robots to seamlessly interpret a surgeon’s intended movements while actively suppressing involuntary hand tremor, thereby enhancing precision and safety in delicate procedures. Garnering 12 citations since its 2020 publication, this research has been recognized for its practical impact on advancing robotic-assisted surgery. Yoon’s contributions lie at the intersection of signal processing, deep learning, and biomechanics, offering robust solutions for real-time motion control. His work not only improves surgical outcomes but also paves the way for more intuitive human–robot collaboration in clinical settings. Through these achievements, Dokyoon Yoon has established himself as a key innovator in the field, with his methods poised to influence future developments in autonomous and assistive surgical systems.
Research Focus
Key Achievements
Top Papers
- 1