Jaehyung Lee
Papers
2
Total Citations
12
H-Index
2
About
Jaehyung Lee is a leading researcher in non-invasive brain-computer interfaces (BCIs), with a focus on decoding movement intention for assistive technologies like exoskeletons. His work centers on hybrid paradigms that combine Motor Imagery (MI) with Steady-State Somatosensory Evoked Potentials (SSSEP), aiming to improve the accuracy and reliability of BCI systems for real-world applications. Lee’s major contribution includes developing novel decoding algorithms for sit-to-stand movement intention using vibrotactile stimulation, a critical step toward restoring mobility in individuals with paralysis. His 2019 study on the Hybrid MI-SSSEP paradigm (8 citations) demonstrated enhanced classification of left and right movement, while his work on SSSEP-based sit-to-stand decoding (4 citations) pioneered the use of somatosensory feedback for lower-limb control. Though early in his career, Lee’s research has already influenced the design of more intuitive and responsive BCI systems, bridging the gap between neural signals and robotic exoskeletons. His achievements highlight a promising trajectory in neurorehabilitation engineering.
Research Focus
Key Achievements
Top Papers
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- 2