bcilab.handong.eduHandong BCI Lab

LAB Search this site s 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 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 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 : 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 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 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 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 Lab ’ Emergency Detection App using a Commercial Smart Band ’ won the second prize at the Capstone Festival, hosted by Handong Global University. 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 Lab’s paper ’ Develop Apps for Hand Shaking Diagnostics ’ won the Outstanding Papers Award. Lab’s papers have been accepted at the 2019 Spring Conference , hosted by Korean Society of Medical and Biological Engineering April, 2019 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 Copyright © 2019 LAB. All Rights Reserved. Report abuse...