Byung Hyung Kim
Byung Hyung Kim
Assistant Professor, Department of Artificial Intelligence, Inha University
Verified email at - Homepage
Cited by
Cited by
Real-time motion tracking on a cellphone using inertial sensing and a rolling-shutter camera
M Li, BH Kim, AI Mourikis
IEEE International Conference on Robotics and Automation (ICRA), 4712-4719, 2013
Quadcopter flight control using a low-cost hybrid interface with EEG-based classification and eye tracking
BH Kim, M Kim, S Jo
Computers in Biology and Medicine 51, 82-92, 2014
Deep Physiological Affect Network for the Recognition of Human Emotions
BH Kim, S Jo
IEEE Transactions on Affective Computing 11 (2), 230-243, 2020
Quantitative Evaluation of a Low-Cost Noninvasive Hybrid Interface Based on EEG and Eye Movement
M Kim, BH Kim, S Jo
IEEE Transactions on Neural Systems and Rehabilitation Engineering 23 (2 íŽ, 2015
Observing Actions through Immersive Virtual Reality Enhances Motor Imagery Training
JW Choi, BH Kim, S Huh, S Jo
IEEE Transactions on Neural Systems and Rehabilitation Engineering 28 (7 íŽ, 2020
Riemannian Embedding Banks for Common Spatial Patterns with EEG-based SPD Neural Networks
YJ Suh, BH Kim
35th AAAI Conference on Artificial Intelligence (AAAI) 35 (1), 854-862, 2021
Dynamic Motion Artifact Removal using Inertial Sensors for Mobile BCI
BH Kim, J Chun, S Jo
7th International IEEE/EMBS Conference on Neural Engineering (NER), 37 - 40, 2015
Real-time motion artifact detection and removal for ambulatory BCI
BH Kim, S Jo
3rd International Winter Conference on Brain-Computer Interface (BCI), 70-73, 2015
Neural Applications Using Immersive Virtual Reality: A Review on EEG Studies
JW Choi, H Kwon, J Choi, N Kaongoen, C Hwang, M Kim, BH Kim, S Jo
IEEE Transactions on Neural Systems and Rehabilitation Engineering 31, 1645-1658, 2023
ALIS: Learning Affective Causality behind Daily Activities from a Wearable Life-log System
BH Kim, S Jo, S Choi
IEEE Transactions on Cybernetics 52 (12), 13212--13224, 2022
Asynchronous Motor Imagery Brain-Computer Interface for Simulated Drone Control
JW Choi, BH Kim, S Jo
9th International Winter Conference on Brain-Computer Interface (BCI), 133-137, 2021
Improved Explanatory Efficacy on Human Affect and Workload through Interactive Process in Artificial Intelligence
BH Kim, S Koh, S Huh, S Jo, S Choi
IEEE Access 8, 189013-189024, 2020
A-Situ: a computational framework for affective labeling from psychological behaviors in real-life situations
BH Kim, S Jo, S Choi
Scientific Reports 10 (15916), 1-13, 2020
The future of wearable EEG: A review of ear-EEG technology and its applications
N Kaongoen, J Choi, JW Choi, H Kwon, C Hwang, G Hwang, BH Kim, ...
Journal of Neural Engineering 20 (5), 2023
A Discriminative SPD Feature Learning Approach on Riemannian Manifolds for EEG Classification
BH Kim, JW Choi, H Lee, S Jo
Pattern Recognition 143, 109751, 2023
An Affective Situation Labeling System from Psychological Behaviors in Emotion Recognition
BH Kim, S Jo
arXiv preprint arXiv:1911.01158, 2019
Rank-based Discriminative Feature Learning for Motor Imagery Classification in EEG signals
BH Kim, JW Choi, S Jo
9th International Winter Conference on Brain-Computer Interface (BCI), 18-21, 2021
Personalizing the Prediction: Interactive and Interpretable Machine Learning
S Koh, HJ Wi, BH Kim, S Jo
16th International Conference on Ubiquitous Robots (UR), 354-359, 2019
Affect-driven Robot Behavior Learning System using EEG Signals for Less Negative Feelings and More Positive Outcomes
BH Kim, JH Kwak, M Kim, S Jo
IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS íŽ, 2021
Nonlinear Ranking Loss on Riemannian Potato Embedding
BH Kim, YJ Suh, H Lee, S Jo
25th International Conference on Pattern Recognition (ICPR), 4348-4355, 2021
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