Brain-Computer Interface Lab

Handong Global University

Welcome to handong BCI Lab!

We study and develop BCI (Brain-Computer Interface) technologies, which serves an interface between human brain and computers, and aim to implement them on several platforms. More information about our research is here.

News

2022

  • 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

2021

  • 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

2020

  • 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

2019

  • Nov, 2019

    • One capstone project team and three engineering project planning teams are present each study and got two prizes at the Capstone Festival, hosted by Handong Global University.

      • Smart Medical Diagnosis System - J. Lee, H. Hwangbo, J. Haek

      • Application Development Based on BCI: MindCar Mobile Ver. - H. Kim, Y, Shin

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

      • Medical AI Software Development Using Medical Image - S. Lee, H. Jung, M. Song

    • OpenViBE2Unity: Open Source API for Brain-Computer Interface and Unity3D Application - S. Kim, S. Jeong, E. Lee, S. Lee, C. Sung, M. Ahn, was published on online. link

    • Quantification of Movement Disorder through digital spiral drawing task - D. Yun, S. Bae, H. Hwangbo, J. Ha, D. Gown, M. Ahn, was presented at the 2019 Korea Society of Medical and Biological Engineering Fall Conference and got the excellence prize.

  • Oct, 2019

    • A Novel Method for Multi-frequency Components of a Single Channel in Brain State Classification - Daeun Gown, Minkyu Ahn, and Calibration-less p300 speller system using massive data and convolutional neural network - J. Lee, M. Ahn, M. Kwon, K. Won, S. Jun was posted in poster session at SfN 2019, hosted by Society for Neuroscience.

  • Aug, 2019

    • Emergency Detection Application using a Commercial Smart Band - Youngeun Kim, Jaehoon Jung, Minkyu Ahn, got the 1st prize at the 2019 KCC Spring Conference, hosted by Korean Institute of Information Scientists and Engineers link

  • July, 2019

    • Health Care Camp (19.07.08 - 19.07.10) was well concluded. More details is in here.

    • P300 Speller Performance Predictor based on RSVP Multi-feature - K. Won, M. Kwon, S. Jang, M. Ahn, S. Jun was published in Frontiers in Human Neuroscience, 2019.

  • June, 2019

    • BCI Lab's paper have been accepted at the SfN 2019, hosted by Society for Neuroscience.

      • A novel method for multi-frequency components of a single channel in brain state classification - D. Gwon, M. Ahn

      • Calibration-less p300 speller system using massive data and convolutional neural network - J. Lee, M. Ahn, M. Kwon, K. Won, S. Jun

    • BCI Lab's paper, Emergency Detection Application using a Commercial Smart Band - Youngeun Kim, Jaehoon Jung, Minkyu Ahn, was presented at the 2019 KCC Spring Conference, hosted by Korean Institute of Information Scientists and Engineers

    • BCI Lab's paper, Improving Attention Level through Interactive Neurofeedback Game - Hyunji Kim, S. Kim, E. Lee, K. Won, S. C. Jun, Minkyu Ahn, has been accepted at the IBRO 2019.

  • May, 2019

    • A capstone project team from BCI Lab 'Emergency Detection App using a Commercial Smart Band' won the second prize at the Capstone Festival, hosted by Handong Global University.

    • BCI Lab's paper has been accepted for the undergraduate section publication at the 2019 KCC Spring Conference, hosted by Korean Institute of Information Scientists and Engineers

      • Emergency Detection Application using a Commercial Smart Band - Youngeun Kim, Jaehoon Jung, Minkyu Ahn

    • BCI Lab's paper 'Develop Apps for Hand Shaking Diagnostics' won the Outstanding Papers Award.

    • BCI Lab's papers have been accepted at the 2019 Spring Conference, hosted by Korean Society of Medical and Biological Engineering

  • April, 2019

    • BCI Lab's papers have been accepted for the undergraduate section publication at the 2019 Spring Conference, hosted by Korea Multimedia Society

      • Fall Detection Application using Commercial Smartband - Youngeun Kim, Jaehoon Jung, Minkyu Ahn

      • Develop Apps for Hand Shaking Diagnostics - Hyojeong Hwangbo, Daeun Yun, Daeun Gwon, Minkyu Ahn

      • Brain Image based AI development platform - Jongwon Lee, Minkyu Ahn

      • Development of Neurofeedback Application for Attention and Meditation Control - Suyeon Kim, Giwon Mun, Hyeyoom Jung, Minseok Song, Minkyu Ahn