Feb, 2023

• Cognitive-switch detection for un-cued SSVEP BCI speller - Heegyu Kim, Kyungho Won, Minkyu Ahn, Sung Chan Jun at 11th International Winter Conference on Brain-Computer Interface (BCI), 2023

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Mar, 2023

• Quantification of Movement Error from Spiral Drawing Test - Y. Jin, M. Ahn was published at Sensors2023 - link

• A Review of Public Motor Imagery and Execution Datasets in Brain-Computer Interfaces - D. Gwon, K. Won, M. Song, C. Nam, S. Jun, M. Ahn was published at Frontiers in Human Neuroscience - link

May, 2023

• Can vibrotactile stimulation and tDCS help inefficient BCI users? - K. Won, H. Kim, D. Gwon, M. Ahn, Chang S. Nam, Sung Chan Jun  was published at  Journal of NeuroEngineering and Rehabilitation. - link

Jun, 2023

• Exploring Recognition Methods for Asynchronous(un-cued) SSVEP-based BCI Speller System - H. Kim, K. Won, M. Ahn, Sung Chan Jun at Proceedings of the 10th International Brain-Computer Interface Meeting, 2023

• Event-related potential to visual cues in motor imagery brain-computer interface - D. Gwon M. Ahn, Sung Chan Jun at 10th International Winter Conference on Brain-Computer Interface (BCI), 2023. 

Jul, 2023

• Dissecting time-varying decision dynamics in the basal ganglia: how the weighing of distinct sensory information contributes to task difficulty and perceptual conflict -  Ging-Jehli, N. , Cavanagh, J. Ahn, M., Segar, D., Asaad, W., Frank, M. , 56th Annual Meeting of the Society for Mathematical Psychology, 2023 

Oct, 2023

• Achieving effective artifact subspace reconstruction in EEG using real-time video-based artifact identification - S. Kang, K. Won, H. Kim, J. Baek, M. Ahn, Sung Chan Jun

Nov, 2023

• BCI Lab's paper have been accepted at the SfN 2023, hosted by Society for Neuroscience.

  • Evaluation of public motor imagery datasets and low BCI performers - Y. Lee, D. Gwon, M. Song, M. Ahn, C. Nam at Society for Neuroscience, 2023

  • Time-domain Signal Alignment Method for Cross-dataset Transfer Learning in Event-Related Potential based Brain-Computer Interface - M. Song, D. Gwon, K. Won, S. C. Jun, M. Ahn at Society for Neuroscience, 2023

  • Task-to-task transfer learning for user-centered motor imagery brain-computer interface - D. Gwon, M. Song, M. Ahn at Society for Neuroscience, 2023

  • Assessment of Pain Severity Using Asymmetry of Quantitative Electroencephalography and Phase-Amplitude Coupling - M. Ahn, D. Gwon, S. Ryu, C. Park, Y. Ha at Society for Neuroscience, 2023

Dec, 2023

• Exploring Improved BCI Model Performance via Oscillatory-Neural Data Generation S. Baek, K. Jung, Y. Kim, D. Gwon, M. Ahn KEEG, 2023

July, 2022

• 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, 2022

• 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, 2022

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

Feb, 2022

• 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

Dec, 2021

• Unsupervised learning with signal alignment for Calibration-less P300 BCI - E. Hwang, M. Kim, M. Ahn was posted at KEEG 2021 Poster Session hosted by Korean Society for EEG and Neurophysiology

Oct, 2021

• BCI Lab's paper have been accepted at the SfN 2021, hosted by Society for Neuroscience.

  • A hybrid approach for ERP and ERDS in motor imagery BCI - D. Gwon, M. Ahn

  • A neurofeedback game for attention improvement and its evaluation - H. Kim, K. Won, S. JUN, M. Ahn

• Survey of EEG Neurofeedback methods for Attention Improvement - H. Kim, D. Gwon, K. Won, S. Jun, and M. Ahn was published at Journal of KIISE - link

Aug, 2021

• P300 Brain-Computer Interface-Based Drone Control in Virtual and Augmented Reality - S. Kim, S. Lee, H. Kang, S. Kim, and M. Ahn was published at Sensors - link

• Selective Subject Pooling Strategy to Improve Model Generalization for a Motor Imagery BCI - K. Won, M. Kwon, M. Ahn and S. Jun was published at Sensors - link

July, 2021

• Alpha and high gamma phase amplitude coupling during motor imagery and weighted cross-frequency coupling to extract discriminative cross-frequency patterns - D. Gwon, M. Ahn was published at NeuroImage - link

  • Interview article - here (Korean)

• An Open Source-Based BCI Application for Virtual World Tour and Its Usability Evaluation - S. Woo, J. Lee, H. Kim, S. Chun, D. Lee, D. Gwon, M. Ahn was published at frontiers in Human Neuroscience - link

• A study on improving UX of Brain-Computer Interface Based Game Environment - H. Lim, H. Kwon, M. Ahn got the encouragement prize and Quantification Method of Spiral Drawing Test for Movement Disorder Diagnosis - Y. Lee, Y. Kim, H. Yoon, Y. Kim, M. Ahn got the excellence prize at KCC2021 hosted by KIISE.

  • Optunity Studio interview article - here (Korean)

Jun, 2021

• New start-up team (Optunity Studio - Teuro) was established. Article (Korean)

• Undergraduate students' paper was accepted on KCC 2021 domestic conference hosted by KIISE.

  • A study on improving UX of Brain-Computer Interface Based Game Environment - H. Lim, H. Kwon, M. Ahn

  • Evaluation of brain segmentation methods for brain MRI based Alzheimer's Disease diagnosis - H. Lee, S. Park, M. Song, D. Kim, M. Ahn

  • Quantification Method of Spiral Drawing Test for Movement Disorder Diagnosis - Y. Lee, Y. Kim, H. Yoon, Y. Kim, M. Ahn

May, 2021

• An Open Source Based Assistive Clinical Application Development for Movement Disorder - J. Ha, H. Hwangbo, S. Bae, D. Yun, H. Gwon, J. Jang, Y. Kim, H. Yun, Y. Lee, Y. Kim, M. Ahn was published at Journal of Korean Institute of Information Scientists and Engineers - link

April, 2021

• Diagnostic Classification and Biomarker Identification of Alzheimer's Disease with Random Forest Algorithm - M. Song, H. Jung, S. Lee, D. Kim, M. Ahn was published at Journal of Brain Sciences - link

• A comparison of brain segmentation methods Freesurfer and AQUA for detecting Alzheimer's Disease using MRI - S. Park, H. Lee, M. Song, D. Kim, M. Ahn was awarded in the Best Presentation Award at PRCP 2021 hosted by Pacific Rim College of Psychiatrists

Feb, 2021

• Applications for EEG-based drone control - S. Lee, H. Kang, S. Kim, S. Kim, M. Ahn got the encouragement prize at KSC2020 hosted by Korean Institute of Information Scientists and Engineers

Jan, 2021

• Undergraduate students' paper was accepted on HCIK 2021 domestic conference, hosted by HCI Korea.

  • Brain-Computer Interface puzzle adventure game - H. Lim, H. Kwon, and M. Ahn

  • Virtual Reality based Neurofeedback Game for Depression - G. Jung, S. Choi, and M. Ahn

  • VR and AR contents for drone control using Brain-Computer Interface - S. Lee, H. Kang, S. Kim, S. Kim, and M. Ahn

  • Tremor Check : A mobile app for checking tremor - J. Ha, Y. Kim, H. Yun, Y. Lee, Y. Kim, and M. Ahn

Dec, 2020

• A Digital Device-Based Method for Quantifying Motor Impairment in Movement Disorders - S. Bae, D. Yun, J. Ha, D. Gwon, Y. Kim, M. Ahn was accepted at Journal of Biomedical Engineering Research.

• Brain-Computer Interface for Virtual and Augmented Reality-based Drone Control - S. Kim, S. Kim, H. Kang, S. Lee, M. Ahn was posted at KEEG 2020 Poster Session hosted by Korean Society for EEG and Neurophysiology

• Development of Application for Brain-controlled Drone - S. Lee, H. Kang, S. Kim, S. Kim, M. Ahn was published at KSC 2020, hosted by Korean Institute of Information Scientists and Engineers

• Application and Artificial Intelligence Development for Brain Wave-Based Drone Control - H. Kang, S. Kim, S. Kim, S. Lee got prizes at the Capstone Festival, hosted by Handong Global University.

Nov, 2020

• Two teams got prizes at Software Festival, hosted by Handong Global University

Aug, 2020

• Rapid Motor Fluctuations Reveal Short-Timescale Neurophysiological Biomarkers of Parkinson's Disease - M. Ahn, S. Lee, P.M. Lauro, E.L. Schaeffer, U. Akbar, W.F. Asaad was published at Journal of Neural Engineering. link

July, 2020

• New members are here! Welcome to our BCI Lab! 🎉

• An open source based clinical application for movement disorder - J. Ha, H. Hwangbo, H. Gwon, J. Jang, S. Bae, D. Yun, Y. Kim, M. Ahn,  was published at the 2020 KCC, hosted by Korean Institute of Information Scientists and Engineers

June, 2020

• Capstone Festival, hosted by Handong Global University, was well concluded. Three teams present in festival.

  • Development of AI for Diagnosis of Alzheimer's disease Using Medical Imaging - S. Lee, M. Song, H. Jung

  • Brain-Computer Interface based Mobile Car Racing Game - H. Kim, Y. Shin

  • Movement Disorder Diagnosis Application for Clinician - S. Bae, D. Yun, J. Ha

May, 2020

• Our lab has been selected for the National R&D Real Challenge Project implemented by KIRD under the theme 'Neurofeedback'.

• Our lab has been selected for the 2020 URP implemented by KOFAC under the theme Application and AI Development for EEG based Drone Control.

April, 2020

• Use of Both Eyes-Open and Eyes-Closed Resting State May Yield a More Robust Predictor of Motor Imagery BCI Performance - M. Kwon, H. Cho, K. Won, M. Ahn, S. jun was published by Electronics. link

• CNN with large data achieves true zero-training in online P300 Brain-Computer Interface - J. Lee, K. Won, M. Kwon, S. Jun, M. Ahn was published by IEEE. link

March, 2020

• Ergonomic Issues in Brain-Computer Interface Technologies: Current Status, Challenges, and Future Direction - H. Baek, H. Kim, M. Ahn, H. Cho, S. Ahn was published on online. link

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

  • Quantification of Movement Disorder through digital drawing test - S. Bae, D. Yun, J. Ha, H. Hwangbo, H. Gwon, J. Jang, D. Gwon, M. Ahn

  • Classification of Alzheimer's disease using Machine learning and non-brain imaging data - M. Song, H. Jung, S. Lee, J. Lee, D. Kim, M. Ahn

  • Brain-Computer Interface based mobile car racing game - H. Kim, Y. Shin, M. Ahn

Jan, 2020

• (LAB Event) We had a joint lab-meeting with MILab on January 28.

• An open source based Neurofeedback Game MindCar and usability evaluation by conduction demonstration and survey - E. Lee, H. Kim, S. Kim, S. Jeong, K. Won, S. Jun, M. Ahn, was published on online. link