Guo Zhexiao “Michael”
Project Associate,
Centre for Immersive Learning & Metaverse in Education, IHERD
Department of Chinese and Bilingual Studies, FH
Office: A501, 5/F, A Core
Phone: +852-3400-8556
E-Mail: zhexiao.guo@polyu.edu.hk
Responsible for Projects
Leveraging Virtual Reality and Generative AI for Dynamic Narrative Experiences
Publications
- Guo, Z., Dan, G., Xiang, J., Wang, J., Yang, W., Ding, H., & Zhou, Y. (2017). An unobtrusive computerized assessment framework for unilateral peripheral facial paralysis. IEEE journal of biomedical and health informatics, 22(3), 835-841.
- Guo, Z., Shen, M., Duan, L., Zhou, Y., Xiang, J., Ding, H., & Dan, G. (2017, April). Deep assessment process: Objective assessment process for unilateral peripheral facial paralysis via deep convolutional neural network. In 2017 IEEE 14th international symposium on biomedical imaging (ISBI 2017) (pp. 135-138). IEEE.
- Guo, Z., Li, W., Dai, J., Xiang, J., & Dan, G. (2021). Facial imaging and landmark detection technique for objective assessment of unilateral peripheral facial paralysis. Enterprise Information Systems, 1-17.
- He, J., Guo, Z., Shao, Z., Zhao, J., & Dan, G. (2020). An LSTM-based prediction method for lower limb intention perception by integrative analysis of Kinect visual signal. Journal of Healthcare Engineering, 2020.
- Feng, J., Guo, Z., Wang, J., & Dan, G. (2020). Using eye aspect ratio to enhance fast and objective assessment of facial paralysis. Computational and mathematical methods in medicine, 2020.