July

• EEG Dataset for RSVP and P300 Speller Brain-Computer Interfaces - K. Won, M. Kwon, M. Ahn, S. Jun was published at Scientific data - link

June

• Our lab's paper was posted on KCC 2022 domestic conference hosted by KIISE.

  • A study on motor execution, observation and imagery for brain-computer interface - J. Kwon, Y. Shin, M. Hwang, D. Gwon, M. Ahn

• • Interactive BCI Sound to Help Meditation - H. Yoon, H. Seo, Y. Lee, H. Kim, M. Ahn

  • Detection of atrial fibrillation based on CNN-LSTM and RR interval - E. Roh, C. Park, S. Joo, M. Ahn

  • Performance Comparison of Consumer-grade Electroencephalography Devices - M. Kim, S. Bang, H. Jeong, S. Lee, M. Ahn

  • Relationship between human decision-making model and attention according to the cognitive processing speed of the brain - M. Song, H. Lee, S. Hong, M. Ahn

  • A survey of visual stimulus-based Brain-Computer Interface in Metaverse - J. Kang, S. Lee, H. Kim, M. Ahn

May

• Editorial: Deep Learning in Brain-Computer Interface - M. Ahn, S. Jun, H. Yeom, H. Cho was published at Frontiers in Human Neuroscience - link

February

• Undergraduate students' paper was accepted on HCIK 2020 domestic conference, hosted by HCI Korea.

  • Prediction of progression in Alzheimer's Disease using Brain MRI and Generative Adversarial Network - S. Park, H. Lee, D. Kim, and M. Ahn

  • Signal Alignment for Dataset-to-dataset transfer learning in Brain-Computer Interface - M. Kim, E. Hwang, and M. Ahn