Sang Min Lee

Papers

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About

Sang Min Lee is a pioneering researcher in brain-computer interfaces (BCI) and assistive robotics, with a focus on empowering individuals with severe disabilities. His landmark 2014 study, "Development BCI for individuals with severely disability using EMOTIV EEG headset and robot," introduced a non-invasive system that translates electroencephalography (EEG) signals into robotic control commands, bypassing the need for physical movement. This work directly addresses the discomfort many disabled individuals experience with traditional human-computer or human-robot interfaces, offering a more intuitive and dignified alternative to reliance on remedial helpers. By demonstrating that a low-cost EMOTIV headset could decode brain signals to operate a robot, Lee’s research has opened pathways for affordable, accessible assistive technologies. With 24 citations, this foundational paper has influenced subsequent work in neural rehabilitation and human-robot interaction. Lee’s contributions stand out for their practical compassion—bridging cutting-edge neuroengineering with real-world solutions for mobility and independence. His ongoing efforts continue to shape how BCI systems can restore agency to those with limited motor function, making him a key figure in inclusive robotics and neural interface design.