Myoung-Ki Kim

Papers

Total Citations

H-Index

About

Myoung-Ki Kim is an emerging researcher specializing in brain-computer interfaces (BCI) and neurohaptics, with a particular focus on decoding tactile perception and somatosensory feedback from electroencephalography (EEG) signals. His work addresses a critical gap in conventional BCI systems, which have traditionally relied on visual feedback alone, neglecting the crucial role of touch in natural motor behavior. Kim's research pioneers the integration of tactile sensation into BCI frameworks, enabling more intuitive and immersive human-machine interactions with wide-ranging applications in prosthetics, robotic control, and advanced touch display technologies. His 2021 paper on classifying tactile perception and attention from EEG signals, garnering 13 citations, demonstrates the feasibility of distinguishing nuanced sensory experiences from brain activity, while his complementary work on neurohaptics, with 7 citations, outlines a broader vision for sensation decoding in industrial and assistive contexts. Together, these contributions position Kim as a thoughtful innovator pushing the boundaries of noninvasive BCI research, offering promising pathways toward more natural and responsive human-robot interfaces for individuals with motor impairments.