EMP3D: an emergency medical procedures 3D dataset with pose and shape

Graphical abstract

References

[1] 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

[2] 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

[3] 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

[4] 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

[5] 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

[6] 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

[7] 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

[8] 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

[9] 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

RIGHTS & PERMISSIONS

Higher Education Press