Real-time motion tracking on a cellphone using inertial sensing and a rolling-shutter camera. - Mingyang Li 001; Byung Hyung Kim; Anastasios I. Mourikis (ICRA, 2013)

Quadcopter flight control using a low-cost hybrid interface with EEG-based classification and eye tracking. - Byung Hyung Kim; Minho Kim; Sungho Jo (Comput. Biol. Medicine, 2014)

Real-time motion artifact detection and removal for ambulatory BCI. - Byung Hyung Kim; Sungho Jo (BCI, 2015)

Dynamic motion artifact removal using inertial sensors for mobile BCI. - Byung Hyung Kim; Jinsung Chun; Sungho Jo (NER, 2015)

An empirical study on effect of physiological asymmetry for affective stimuli. - Byung Hyung Kim; Sungho Jo (BCI, 2017)

Personalizing the Prediction: Interactive and Interpretable machine learning. - Seunghun Koh; Hee Ju Wi; Byung Hyung Kim; Sungho Jo (UR, 2019)

Wearable Affective Life-Log System for Understanding Emotion Dynamics in Daily Life. - Byung Hyung Kim; Sungho Jo (CoRR, 2019)

An Affective Situation Labeling System from Psychological Behaviors in Emotion Recognition. - Byung Hyung Kim; Sungho Jo (CoRR, 2019)

Improved explanatory efficacy on human affect and workload through interactive process in artificial intelligence. - Byung Hyung Kim; Seunghun Koh; Sejoon Huh; Sungho Jo (CoRR, 2019)

Nonlinear Ranking Loss on Riemannian Potato Embedding. - Byung Hyung Kim; Yoon-Je Suh; Honggu Lee; Sungho Jo (ICPR, 2020)

Improved Explanatory Efficacy on Human Affect and Workload Through Interactive Process in Artificial Intelligence. - Byung Hyung Kim; Seunghun Koh; Sejoon Huh; Sungho Jo; Sunghee Choi (IEEE Access, 2020)

Deep Physiological Affect Network for the Recognition of Human Emotions. - Byung Hyung Kim; Sungho Jo (IEEE Trans. Affect. Comput., 2020)

Riemannian Embedding Banks for Common Spatial Patterns with EEG-based SPD Neural Networks. - Yoon-Je Suh; Byung Hyung Kim (AAAI, 2021)

Asynchronous Motor Imagery Brain-Computer Interface for Simulated Drone Control. - Jin Woo Choi; Byung Hyung Kim; Sungho Jo (BCI, 2021)

Rank-based Discriminative Feature Learning for Motor Imagery Classification in EEG signals. - Byung Hyung Kim; Jin Woo Choi; Sungho Jo (BCI, 2021)

Affect-driven Robot Behavior Learning System using EEG Signals for Less Negative Feelings and More Positive Outcomes. - Byung Hyung Kim; Ji Ho Kwak; Minuk Kim; Sungho Jo (IROS, 2021)

ALIS: Learning Affective Causality Behind Daily Activities From a Wearable Life-Log System. - Byung Hyung Kim; Sungho Jo; Sunghee Choi (IEEE Trans. Cybern., 2022)

WatchPPG: An Open-Source Toolkit for PPG-based Stress Detection using Off-the-shelf Smartwatches. - Yunjo Han; Kobiljon E. Toshnazarov; Byung Hyung Kim; Youngtae Noh; Uichin Lee (UbiComp/ISWC Adjunct, 2023)

A discriminative SPD feature learning approach on Riemannian manifolds for EEG classification. - Byung Hyung Kim; Jin Woo Choi; Honggu Lee; Sungho Jo (Pattern Recognit., 2023)

Multi-Output Regression for Integrated Prediction of Valence and Arousal in EEG-Based Emotion Recognition. - HyoSeon Choi; ChaeEun Woo; JiYun Kong; Byung Hyung Kim (BCI, 2024)

Detecting Concept Shifts Under Different Levels of Self-awareness on Emotion Labeling. - HyoSeon Choi; Dahoon Choi; Netiwit Kaongoen; Byung Hyung Kim (ICPR (13), 2024)

Cascading Global and Sequential Temporal Representations with Local Context Modeling for EEG-Based Emotion Recognition. - Hyunwook Kang; Jin Woo Choi; Byung Hyung Kim (ICPR (13), 2024)

SOSW: Stress Sensing With Off-the-Shelf Smartwatches in the Wild. - Kobiljon Toshnazarov; Uichin Lee; Byung Hyung Kim; Varun Mishra 001; Lismer Andres Caceres Najarro; Youngtae Noh (IEEE Internet Things J., 2024)

Understanding the User Perception and Experience of Interactive Algorithmic Recourse Customization. - Seunghun Koh; Byung Hyung Kim; Sungho Jo (ACM Trans. Comput. Hum. Interact., 2024)

RecSal-Net: Recursive Saliency Network for video saliency prediction. - Chaeeun Woo; Sumin Lee; Soo Min Park; Byung Hyung Kim (Neurocomputing, 2025)