Papers
2
Total Citations
41
H-Index
2
About
Sangin Park is a leading researcher in brain-computer interfaces (BCIs), with a focus on enhancing assistive technologies for individuals with motor impairments. His primary research areas include motor imagery (MI)-based BCIs, hybrid BCI systems, and sensory stimulation training to improve user performance. Park’s major contribution lies in addressing the performance gap in MI-BCIs, which traditionally underperform compared to P300 and SSVEP systems. His 2021 study, cited 36 times, demonstrated that sensory stimulation training can significantly boost MI-BCI accuracy, particularly for poorly performing users, offering a practical pathway to more reliable neural control. More recently, Park has pioneered hybrid BCI designs that integrate dry-type EEG with pupillary light reflex, as seen in his 2025 work on meal-assist robots. This innovation overcomes the limitations of wet EEG systems, balancing high accuracy with real-world usability for elderly and disabled populations. With a growing citation impact and a focus on translating lab-based BCI advances into tangible assistive devices, Park’s research is shaping the future of intuitive, non-invasive neural interfaces for daily life.
Research Focus
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Top Papers
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