most citedReconstructing ERP Signals Using Generative Adversarial Networks for Mobile Brain-Machine Interface

7 citations · 11 across the 15 of their papers we have counts for

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cs.HC2020

Functional Connectivity of Imagined Speech and Visual Imagery based on Spectral Dynamics

Seo-Hyun Lee, Minji Lee, Seong-Whan Lee

Recent advances in brain-computer interface technology have shown the potential of imagined speech and visual imagery as a robust paradigm for intuitive brain-computer interface co…

cs.HC2020

Prediction of Event Related Potential Speller Performance Using Resting-State EEG

Gi-Hwan Shin, Minji Lee, Hyeong-Jin Kim +1

Event-related potential (ERP) speller can be utilized in device control and communication for locked-in or severely injured patients. However, problems such as inter-subject perfor…

cs.HC2020

Spatio-Temporal Dynamics of Visual Imagery for Intuitive Brain-Computer Interface

Seo-Hyun Lee, Minji Lee, Seong-Whan Lee

Visual imagery is an intuitive brain-computer interface paradigm, referring to the emergence of the visual scene. Despite its convenience, analysis of its intrinsic characteristics…

cs.HC2020

A BCI based Smart Home System Combined with Event-related Potentials and Speech Imagery Task

Hyeong-Jin Kim, Min-Ho Lee, Minji Lee

Recently, smart home systems based on brain-computer interface (BCI) has attracted a wide range of interests in both industry and academia. However, the current BCI system has seve…

cs.HC20203 cited

Decoding Visual Responses based on Deep Neural Networks with Ear-EEG Signals

Young-Eun Lee, Minji Lee

Recently, practical brain-computer interface is actively carried out, especially, in an ambulatory environment. However, the electroencephalography signals are distorted by movemen…