References
Gräsner J T, Herlitz J, Tjelmeland I B, Wnent J, Masterson S, Lilja G, Bein B, Böttiger B W, Rosell-Ortiz F, Nolan J P, Bossaert L, Perkins GD. European resuscitation council guidelines 2021: Epidemiology of cardiac arrest in europe. Resuscitation, 2021, 161: 61–79
Liu J, Shahroudy A, Perez M, Wang G, Duan L Y, Kot A C. NTU RGB+D 120: a large-scale benchmark for 3D human activity understanding. IEEE Transactions on Pattern Analysis and Machine Intelligence, 2020, 42(10): 2684–2701
Huu P N, Thi N N, Ngoc T P. Proposing posture recognition system combining MobilenetV2 and LSTM for medical surveillance. IEEE Access, 2022, 10: 1839–1849
Wu X, Zhang H, Kong C, Wang Y, Ju Y, Zhao C. LiDAR-based 3-D human pose estimation and action recognition for medical scenes. IEEE Sensors Journal, 2024, 24(9): 15531–15539
Jiang T, Lu P, Zhang L, Ma N, Han R, Lyu C, Li Y, Chen K. RTMPose: Real-time multi-person pose estimation based on mmpose. 2023, arXiv preprint arXiv:2303.07399
Zhang Y, An L, Yu T, Li X, Li K, Liu Y. 4D association graph for realtime multi-person motion capture using multiple video cameras. In: Proceedings of 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition. 2020, 1321–1330
Romero J, Tzionas D, Black M J. Embodied hands: modeling and capturing hands and bodies together. ACM Transactions on Graphics (TOG), 2017, 36(6): 1–17
Goel S, Pavlakos G, Rajasegaran J, Kanazawa A, Malik J. Humans in 4D: reconstructing and tracking humans with transformers. In: Proceedings of 2023 IEEE/CVF International Conference on Computer Vision. 2023, 14737–14748
Zhang H, Tian Y, Zhou X, Ouyang W, Liu Y, Wang L, Sun Z. PyMAF: 3D human pose and shape regression with pyramidal mesh alignment feedback loop. In: Proceedings of 2021 IEEE/CVF International Conference on Computer Vision. 2021, 11426–11436
Acknowledgements
This work was supported in part by the National Key R&D Program of China (2023YFC3082100), the National Natural Science Foundation of China (Grant No. 62171317), and Science Fund for Distinguished Young Scholars of Tianjin (No. 22JCJQJC00040).
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Bao, H., Du, K., Su, X. et al. EMP3D: an emergency medical procedures 3D dataset with pose and shape. Front. Comput. Sci. 19, 1911368 (2025). https://doi.org/10.1007/s11704-025-41174-x
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DOI: https://doi.org/10.1007/s11704-025-41174-x