no code implementations • 13 Dec 2022 • Dae-Hyeok Lee, Sung-Jin Kim, Yeon-Woo Choi
We proposed a model for classifying distraction levels.
no code implementations • 13 Dec 2022 • Sung-Jin Kim, Dae-Hyeok Lee, Yeon-Woo Choi
To solve these issues, we proposed a novel data augmentation method, CropCat.
no code implementations • 15 Apr 2022 • Keon-Woo Lee, Dae-Hyeok Lee, Sung-Jin Kim, Seong-Whan Lee
In this paper, we investigated the neural signals for two groups of native speakers with two tasks with different languages, English and Chinese.
no code implementations • 15 Jul 2021 • Dae-Hyeok Lee, Sung-Jin Kim, Seong-Whan Lee
In addition, when comparing the performance between w/o and w/ EEG features of overt speech, there was a performance improvement of 7. 42% when including EEG features of overt speech.
no code implementations • 8 Jun 2021 • Dae-Hyeok Lee, Dong-Kyun Han, Sung-Jin Kim, Ji-Hoon Jeong, Seong-Whan Lee
Communication between humans and a drone using electroencephalogram (EEG) signals is one of the most challenging issues in the BCI domain.
no code implementations • 28 May 2021 • Sung Hyuck Hong, Jaeyong Park, Sung-Jin Kim, Junil Choi
As communication systems that employ millimeter wave (mmWave) frequency bands must use large antenna arrays to overcome the severe propagation loss of mmWave signals, hybrid beamforming has been considered as an integral component of mmWave communications.