Hanseok Jeong

Hanseok Jeong

Ph.D. Student at KAIST, HCITech Lab

I am Hanseok Jeong, a Ph.D. student in the Graduate School of Culture Technology at KAIST, advised by Prof. Sang Ho Yoon. My research focuses on hand interaction sensing, multimodal machine learning, and real-time inference systems for human-computer interaction. I aim to develop end-to-end frameworks that detect hand position and estimate force using egocentric RGB cameras and wearable sensors such as IMU and EMG.

Journal Articles

  • Jeong, H., Fangqing, L., and Yoon, S. H. 2024. Two-Channel EMG and IMU-Based Hand Gesture Classification Using Wearable Wristband. Journal of KIISE 31(3), 135–140.

  • Hwang, E., Park, H., Kim, H., Kim, J., Jeong, H., Kim, S., and Kim, J. 2023. Development of Bispectral Index Score Prediction Model Based on Interpretable Deep Learning Algorithm. Artificial Intelligence in Medicine.

  • Jeong, H., and Kim, H. 2023. A Dynamic Correction Technique of Time-Series Data Using Anomaly Detection Model Based on LSTM-GAN. Journal of Internet Broadcasting and Communication 23, 103–111.

  • Han, Y., Jeong, Y., Kim, S., Jeong, H. 2021. Changes in the Levels of Stress Perception, Experiencing Depressive Symptoms and Health-Related Quality of Life of Residents after the 2016 Gyeongju Earthquake. International Journal of Environmental Research and Public Health 18(2), 540.

  • Jeong, Y., Han, Y., Kim, S., Jeong, H. 2020. The Frequency of Impairments in Everyday Activities Due to the Overuse of the Internet, Gaming, or Smartphone, and Its Relationship to Health-Related Quality of Life in Korea. BMC Public Health 20, 954.

  • Kim, J., Lee, S., Hwang, E., Ryu, K., Jeong, H., Lee, J., Hwangbo, Y., Choi, K., and Cha, H. 2020. Limitations of Deep Learning Attention Mechanisms in Clinical Research: Empirical Case Study Based on the Korean Diabetic Disease Setting. JMIR Medical Informatics 22(12).

Conference Papers

  • Jeong, H., Seo, J., and Yoon, S. H. 2025. Thumb Force Estimation with Egocentric Vision. UIST 2025 Adjunct Proceedings.

  • Seo, K., Seo, J., Jeong, H., Kim, S., and Yoon, S. H. 2024. Posture-Informed Muscular Force Learning for Robust Hand Pressure Estimation. NeurIPS 2024.

  • Yoon, S. H., Sung, Y., Song, K. W., Jung, K., Seo, K., Kim, J., Yi, H., Vanichvoranun, N., Jeong, H., and Lee, H. 2024. Adaptive and Immersive XR Interactions with Wearable Interfaces. CHI EA 2024.

  • Jeong, H., Fangqing, L., and Yoon, S. H. 2024. Two-Channel EMG and IMU-Based Hand Gesture Classification Using Wearable Wristband. Proceedings of the Korea Information Science Society Conference, 1486–1488.

  • Seo, K., Seo, J., Jeong, H., and Yoon, S. H. 2023. Electromyography-Based Estimation of Finger Force for Hand Interaction in Various Postures. Proceedings of the Korea Information Science Society Conference, 1279–1281.

  • Kim, J., Kim, S., Kim, Y., Park, K., Jeong, H., and Kim, J. 2023. SurProGenes: Survival Risk-Ordered Representation of Cancer Patients and Genes for the Identification of Prognostic Genes. ICML 2023.

  • Jeong, H., Jeong, J., and Kim, H. 2023. Multivariate Time-Series Data Correction by Combining Attention-Based LSTM and GAN Model. ICASI 2023. IEEE.

  • Jeong, J., Jeong, H., and Kim, H. 2023. BAMTGAN: A Balanced Augmentation Technique for Tabular Data. ICASI 2023. IEEE.

  • Jeong, H.., Kim, J., Jeong, J., and Kim, H. 2022. Deep Learning Models with Stratification-Based Loss Function on Domain Knowledge-Based Time Series Data: Hypotension Prediction. IEEE Big Data 2022.

  • Jeong, J., Jeong, H., and Kim, H. 2022. AutoEncoder-Based Numerical Training Data Augmentation Technique. IEEE Big Data 2022.

Research Experiences

  • 2026.02 - Now : Arizona State University, Human-in-Mind Engineering Research Lab (Visiting Scholar)
  • 2020.04 - 2022.07 : National Cancer Center (Researcher)

Honors and Awards

  • 2024.07 : Outstanding Presentation Paper Award at the 2024 Korea Computer Congress (KCC)
  • 2024.05 : Popular Choice Winner of Lab Demo, HCITech Lab, (CHI’24)
  • 2018.09 : The 16th SAS Analytics championship (Project name: Prediction of the most fatal accidents using big data)

Academic Activities

  • 2025.09 : Student Volunteer, ACM Symposium on User Interface Software and Technology (UIST 2025)