S3D-CNN: skeleton-based 3D consecutive-low-pooling neural network for fall detection
Author:
Publisher
Springer Science and Business Media LLC
Subject
Artificial Intelligence
Link
https://link.springer.com/content/pdf/10.1007/s10489-020-01751-y.pdf
Reference53 articles.
1. Sannino G, De Falco I, De Pietro G (2015) A supervised approach to automatically extract a set of rules to support fall detection in an mHealth system. Appl Soft Comput 34:205–216. https://doi.org/10.1016/j.asoc.2015.04.060
2. Lapierre N, Neubauer N, Miguel-Cruz A, Rincon AR, Liu L, Rousseau J (2018) The state of knowledge on technologies and their use for fall detection: a scoping review. Int J Med Inform 116:9–9. https://doi.org/10.1016/j.ijmedinf.2018.05.001
3. Jokanovic B, Amin M (2018) Fall detection using deep learning in range-doppler radars. IEEE T Aero Elec Sys 54(1):180–189. https://doi.org/10.1109/Taes.2017.2740098
4. Lu N, Wu YD, Feng L, Song JB (2019) Deep learning for fall detection: three-dimensional CNN combined with LSTM on video kinematic data. IEEE J Biomed Health 23(1):314–323. https://doi.org/10.1109/Jbhi.2018.2808281
5. Cao Z, Simon T, Wei SE, Sheikh Y (2017) Realtime multi-person 2D pose estimation using part affinity fields. In: proceedings of the CVPR IEEE: 1302–1310. doi:https://doi.org/10.1109/Cvpr.2017.143
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