Yunho Choi

Publications

Google Scholar

• Journal Articles
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  Yunho Choi, Yoon, J., Lee, H., Noh, J., Akan, E., Kim, E., DelPreto, J., Rus, D., Matusik, W., and Kim, K.-J. Bridging Tactile and EMG signals: A Deep Learning Approach for Cross-Modal Signal Translation (In progress)

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  Oh, S., Yunho Choi, Joo, H.-T. & Kim, K.-J. Federated Reinforcement Learning for Privacy-Preserving Sepsis Patient Treatment Model. ACM Transactions on Intelligent Systems and Technology (2024),A (IF 6.6 JCI top 9.5%)

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  Yunho Choi, Oh, S., Huh, J. W., Joo, H.-T., Lee, H., You, W., Bae, C.-m., Choi, J.-H. & Kim, K.-J. Deep Reinforcement Learning Extracts the Optimal Sepsis Treatment Policy from Treatment Records. Communications Medicine 4.1 (2024): 245, Nature Portfolio. (IF 6.3 JCI top 15%)

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  Lee, H., Yunho Choi, Eizad, A., Song, W.-K., Kim, K.-J. & Yoon, J. A machine learning based initial difficulty level adjustment method for balance exercise on a trunk rehabilitation robot. IEEE Transactions on Neural Systems and Rehabilitation Engineering 31, 1857– 1866 (2023). (IF 5.2 JCI top 2%)

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  Yunho Choi, Park, D.-H., Lee, S., Han, I., Akan, E., Jeon, H.-C., Luo, Y., Kim, S., Matusik, W., Rus, D., et al. Seamless-walk: natural and comfortable virtual reality locomotion method with a high-resolution tactile sensor. Virtual Reality 27, 1431–1445 (2023). (IF 5.0 JCI top 11%)

• Peer-reviewed Conference Proceedings
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  Yunho Choi., Noh, J., Kim, E., Lee, H., Akan, E., DelPreto, J., Matusik, W., Rus, D. & Kim, K.-J. Real-time Multi-modal Comprehensive Bodyweight Exercise Feedback System with a Personal Virtual Expert Guiding, in revision UbiComp 2025.

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  Yunho Choi., Hwang, S., Moon, J., Lee, H., Yeo, D., Seong, M., Luo, Y., Kim, S., Matusik, W., Rus, D. & Kim, K.-J. Adaptive Walker: User Intention and Terrain Aware Intelligent Walker with High-Resolution Tactile and IMU Sensor, 2025 IEEE International Conference on Robotics and Automation (ICRA).

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  Lee, S.-H., Joo, H.-T., Chung, I., Park, D., Yunho CHOI & Kim, K.-J. A Novel Approach for Virtual Locomotion Gesture Classification: Self-Teaching Vision Transformer for a Carpet-Type Tactile Sensor in 2024 IEEE Conference Virtual Reality and 3D User Interfaces (VR) (2024), 461–471.

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  Yunho CHOI, Jeon, H., Lee, S., Han, I., Luo, Y., Kim, S., Matusik, W. & Kim, K. Seamlesswalk: Novel natural virtual reality locomotion method with a high-resolution tactile sensor in 2022 IEEE Conference on Virtual Reality and 3D User Interfaces Abstracts and Workshops (VRW) (2022), 696–697.

• Working papers
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  (Equal contribution)Yunho Choi* and Hosu LEE*., Yoon, J.-w. & Kim, K.-J. Games for trunk rehabilitation robot Preprint, writing.

• Patent

• P1.

  Yunho Choi, Kim, K.-J., Kim, EH. & Noh, JH. Motion Feedback Method and System Using Normalized Data. Korea Patent. 10-2790083, Mar. 2025.

CONTACT ME

E-MAIL : yunho@uw.edu