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Netiwit Kaongoen, Jaehoon Choi, Jin Woo Choi, Haram Kwon, Chaeeun Hwang, Guebin Hwang, Byung Hyung Kim, Sungho Jo, “The future of wearable EEG: A review of ear-EEG technology and its applications,” Journal of Neural Engineering, vol.20, no.5, 2023. [pdf] [link]
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Jaehoon Choi, Netiwit Kaongoen, HyoSeon Choi, Minuk Kim, Byung Hyung Kim+, Sungho Jo+, “Decoding Auditory-Evoked Response in Affective States using Wearable Around-Ear EEG System,” Biomedical Physics and Engineering Express, vol.9, no.5, pp.055029, 2023. +Co-Corresponding Author. [pdf] [link]
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Byung Hyung Kim, Jin Woo Choi, Honggu Lee, Sungho Jo, “A Discriminative SPD Feature Learning Approach on Riemannian Manifolds for EEG Classification,” Pattern Recognition, vol. 143, no. 109751, 2023. 2022 JCR IF:8, Rank:30/275=10.7% in Engineering, Electrical & Electronic. [pdf] [link]
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최다훈, 최효선, 육지훈, 김병형, “EEG 기반 감정 분류에서 OOD 검출 적용,” 한국컴퓨터종합학술대회 (KCC), pp.706–708, Jun, 2023. Oral Presentation (Acceptance < 28%). *우수논문상 (Top < 8% = 53/739)*.
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육지훈, 주기현, 박영진, 김병형, “접촉 압력에 무관한 PPG 신호 추출 모델,” 한국컴퓨터종합학술대회 (KCC), pp.1151-1153, Jun, 2023.
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김태훈, 백범성, 김성언, 이은정, 안태현, 김병형, “EEG 분류를 위한 와서스테인 거리 손실을 사용한 심층 표현 기반의 도메인 적응 기법,” 한국컴퓨터종합학술대회 (KCC), pp.1042–1044, Jun, 2023. Oral Presentation (Acceptance < 28%).
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Jin Woo Choi, Haram Kwon, Jaehoon Choi, Netiwit Kaongoen, Chaeeun Hwang, Minuk Kim, Byung Hyung Kim, Sungho Jo, “Neural Applications Using Immersive Virtual Reality: A Review on EEG Studies,” IEEE Transactions on Neural Systems and Rehabilitation Engineering, vol.31, pp.1645–1658, 2023. 2022 JCR IF:4.9, Rank:4/68=5.1% in Rehabilitation. [pdf] [link]
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Byung Hyung Kim, Sungho Jo, Sunghee Choi, “ALIS: Learning Affective Causality behind Daily Activities from a
Wearable Life-Log System,” IEEE Transactions on Cybernetics, vol.52, no.12, pp.13212–13224, 2022. IF:19.118, JCR Rank:3/146=1.72% in Computer Science, Artificial Intelligence. [pdf] [link]
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Byung Hyung Kim, Ji Ho Kwak, Minuk Kim, Sungho Jo, “Affect-driven Robot Behavior Learning System using EEG Signals for Less Negative Feelings and More Positive Outcomes,” IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), pp. 4162-4167, Sep, 2021. [pdf] [link]
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Yoon-Je Suh, Byung Hyung Kim, “Riemannian Embedding Banks for Common Spatial Patterns with EEG-based
SPD Neural Networks,” 35th AAAI Conference on Artificial Intelligence (AAAI), vol.35, no.1, pp.854–862, Feb, 2021. Acceptance Rate=21.4%, Top-tier in Computer Science. Co-first Author. Corresponding Author. [pdf] [link]
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Byung Hyung Kim, Yoon-Je Suh, Honggu Lee, Sungho Jo, “Nonlinear Ranking Loss on Riemannian Potato Embedding,” 25th International Conference on Pattern Recognition (ICPR), pp.4348-4355, Jan, 2021. [pdf] [link]
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Byung Hyung Kim, Seunghun Koh, Sejoon Huh, Sungho Jo, Sunghee Choi, “Improved Explanatory Efficacy on Human Affect and Workload through Interactive Process in Artificial Intelligence,” IEEE Access, vol.8, pp.189013-189024, 2020. [pdf] [link]
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Byung Hyung Kim, Sungho Jo, Sunghee Choi, “A-Situ: a computational framework for affective labeling from psychological behaviors in real-life situations,” Scientific Reports, vol.10, 15916, Sep, 2020. [pdf]
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Jin Woo Choi, Byung Hyung Kim, Sejoon Huh, Sungho Jo, “Observing Actions through Immersive Virtual Reality Enhances Motor Imagery Training,” IEEE Transactions on Neural Systems and Rehabilitation Engineering, vol.28, no.7, pp.1614-1622, 2020. 2019 JCR IF:3.340, Rank:7/68=9.56% in Rehabilitation. Co-first Author. [pdf]
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Byung Hyung Kim, Sungho Jo, “Deep Physiological Affect Network for the Recognition of Human Emotions,” IEEE Transactions on Affective Computing, vol.11, no.2, pp.230-243, 2020. 2019 JCR IF:7.512, Rank:11/136=7.72% in Computer Science, Artificial Intelligence. [pdf]
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Seunghun Koh, Hee Ju Wi, Byung Hyung Kim, Sungho Jo, “Personalizing the Prediction: Interactive and Interpretable Machine Learning,” 16th IEEE International Conference on Ubiquitous Robots (UR), pp.354-359, Jun, 2019.
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Byung Hyung Kim, Sungho Jo, “An Empirical Study on Effect of Physiological Asymmetry for Affective Stimuli in Daily Life,” 5th IEEE International Winter Workshop on Brain-Computer Interface, pp.103–105, Jan, 2017.
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Byung Hyung Kim, Jinsung Chun, Sungho Jo, “Dynamic Motion Artifact Removal using Inertial Sensors for Mobile BCI,” 7th IEEE International EMBS Conference on Neural Engineering, pp.37–40, Apr, 2015.
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Byung Hyung Kim, Sungho Jo, “Real-time Motion Artifact Detection and Removal for Ambulatory BCI,” 3rd IEEE International Winter Workshop on Brain-Computer Interface, pp.70–73, Jan, 2015.
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Minho Kim, Byung Hyung Kim, Sungho Jo, “Quantitative Evaluation of a Low-cost Noninvasive Hybrid Interface based on EEG and Eye Movement,” IEEE Transactions on Neural Systems and Rehabilitation Engineering, vol.23, no.2, pp.159-168, 2015. 2014 JCR IF:3.972, Rank:3/65=4.61% in Rehabilitation.
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Byung Hyung Kim, Minho Kim, Sungho Jo, “Quadcopter flight control using a low-cost hybrid interface with EEG-based classification and eye tracking,” Computers in Biology and Medicine, vol.51, pp.82-92, 2014. Honorable Mention Paper(Top 10%).
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Mingyang Li, Byung Hyung Kim, Anastasios Mourikis, “Real-time Motion Tracking on a Cellphone using Inertial Sensing and a Rolling-Shutter Camera,” IEEE International Conference on Robotics and Automation (ICRA), pp.4712-4719, May, 2013.
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Byung Hyung Kim, Hak Chul Shin, Phill Kyu Rhee, “Hierarchical Spatiotemporal Modeling for Dynamic Video Trajectory Analysis,” Optical Engineering, vol.50, no.107206, Oct, 2011.
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Byung Hyung Kim, Danna Gurari, Hough O’Donnell, Margrit Betke, “Interactive Art System for Multiple Users Based on Tracking Hand Movements,” IADIS International Conference Interfaces and Human Computer Interaction (IHCI), Jul, 2011.