Keum-Shik Hong
Keum-Shik Hong
Professor (IEEE Fellow), School of Mechanical Engineering, Pusan National University
Verified email at - Homepage
Cited by
Cited by
fNIRS-based brain-computer interfaces: a review
N Naseer, KS Hong
Frontiers in human neuroscience 9, 3, 2015
Robust adaptive boundary control of a flexible marine riser with vessel dynamics
W He, SS Ge, BVE How, YS Choo, KS Hong
Automatica 47 (4), 722-732, 2011
Modified skyhook control of semi-active suspensions: A new model, gain scheduling, and hardware-in-the-loop tuning
KS Hong, HC Sohn, JK Hedrick
J. Dyn. Sys., Meas., Control 124 (1), 158-167, 2002
Sliding-mode antisway control of an offshore container crane
QH Ngo, KS Hong
IEEE/ASME transactions on mechatronics 17 (2), 201-209, 2010
Classification of functional near-infrared spectroscopy signals corresponding to the right-and left-wrist motor imagery for development of a brain–computer interface
N Naseer, KS Hong
Neuroscience letters 553, 84-89, 2013
Decoding of four movement directions using hybrid NIRS-EEG brain-computer interface
MJ Khan, MJ Hong, KS Hong
Frontiers in human neuroscience 8, 244, 2014
Classification of prefrontal and motor cortex signals for three-class fNIRS–BCI
KS Hong, N Naseer, YH Kim
Neuroscience letters 587, 87-92, 2015
Online binary decision decoding using functional near-infrared spectroscopy for the development of brain–computer interface
N Naseer, MJ Hong, KS Hong
Experimental brain research 232 (2), 555-564, 2014
Adaptive sliding mode control of container cranes
QH Ngo, KS Hong
IET control theory & applications 6 (5), 662-668, 2012
Approximation-based adaptive tracking control of pure-feedback nonlinear systems with multiple unknown time-varying delays
M Wang, SS Ge, KS Hong
IEEE Transactions on Neural Networks 21 (11), 1804-1816, 2010
Direct adaptive control of parabolic systems: Algorithm synthesis and convergence and stability analysis
KS Hong, J Bentsman
IEEE Transactions on Automatic control 39 (10), 2018-2033, 1994
Passive BCI based on drowsiness detection: an fNIRS study
MJ Khan, KS Hong
Biomedical optics express 6 (10), 4063-4078, 2015
A feedback linearization control of container cranes: Varying rope length
H Park, DK Chwa, KS Hong
International Journal of Control, Automation, and Systems 5 (4), 379-387, 2007
Robust adaptive boundary control of an axially moving string under a spatiotemporally varying tension
KJ Yang, KS Hong, F Matsuno
Journal of Sound and Vibration 273 (4-5), 1007-1029, 2004
Hybrid brain–computer interface techniques for improved classification accuracy and increased number of commands: a review
KS Hong, MJ Khan
Frontiers in neurorobotics 11, 35, 2017
Anti-sway control of container cranes: inclinometer, observer, and state feedback
YS Kim, KS Hong, SK Sul
International Journal of Control, Automation, and Systems 2 (4), 435-449, 2004
Hybrid EEG–fNIRS-based eight-command decoding for BCI: application to quadcopter control
MJ Khan, KS Hong
Frontiers in neurorobotics 11, 6, 2017
Kalman estimator-and general linear model-based on-line brain activation mapping by near-infrared spectroscopy
XS Hu, KS Hong, SG Shuzhi, MY Jeong
Biomedical engineering online 9 (1), 1-15, 2010
Feature extraction and classification methods for hybrid fNIRS-EEG brain-computer interfaces
KS Hong, MJ Khan, MJ Hong
Frontiers in human neuroscience 12, 246, 2018
Noise reduction in functional near-infrared spectroscopy signals by independent component analysis
H Santosa, M Jiyoun Hong, SP Kim, KS Hong
Review of Scientific Instruments 84 (7), 073106, 2013
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