Funder
the Natural Science Foundation of Liaoning Province
the National Natural Science Foundation of China
Publisher
Springer Science and Business Media LLC
Reference30 articles.
1. Feng, Y., Chen, X., Xing, Z., Li, Y., Liu, F., & Zhao, J. (2023). A decoupling method based on equivalent mechanism analysis for motion measurements of human multi-dof joints by using wearable strain sensors. IEEE Sensors Journal, 23(12), 13555–13564. https://doi.org/10.1109/JSEN.2023.3266454
2. Zhang, P., Lan, C., Zeng, W., Xing, J., Xue, J., & Zheng, N. (2020). Semantics-guided neural networks for efficient skeleton-based human action recognition. In 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) (pp. 1109–1118). IEEE.
3. Yang, H., Liu, L., Min, W., Yang, X., & Xiong, X. (2021). Driver yawning detection based on subtle facial action recognition. IEEE Transactions on Multimedia, 23, 572–583.
4. Duan, H., Wang, J., Chen, K., & Lin, D. (2022). Dg-stgcn: Dynamic spatial-temporal modeling for skeleton-based action recognition. Preprint: arXiv:2210.05895
5. Duan, H., Wang, J., Chen, K., & Lin, D. (2022). Pyskl: Towards good practices for skeleton action recognition. In Proceedings of the 30th ACM International Conference on Multimedia (pp. 7351–7354).