Hae‐Dong Lee
Papers
1
Total Citations
14
H-Index
1
About
Hae‐Dong Lee’s research bridges biomechanics, biosignal processing, and rehabilitation engineering, with a focus on understanding and augmenting human motor control. His most cited work, “Real-time thumb-tip force predictions from noninvasive biosignals and biomechanical models” (2012, 14 citations), exemplifies his innovative approach to decoding neural and muscular activity for practical applications. In this study, Lee developed a method to predict thumb-tip forces in real time by combining surface electromyography (EMG) and kinematic data with biomechanical models, enabling precise, noninvasive estimation of hand forces. This contribution is pivotal for advancing prosthetics, exoskeletons, and human-machine interfaces, offering a pathway to more intuitive control of assistive devices. Lee’s work demonstrates a deep integration of experimental and computational techniques, addressing challenges in motor function assessment and restoration. While his citation count reflects a focused, emerging impact, his research holds significant promise for improving quality of life in clinical and occupational settings.
Research Focus
Key Achievements
Top Papers
- 1