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
2023
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
2022
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
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
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