A Real-Time and Continuous Fall Detection Based on Skeleton Sequence
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Publisher
Springer Nature Singapore
Link
https://link.springer.com/content/pdf/10.1007/978-981-97-5504-2_11
Reference12 articles.
1. The fall detection dataset. http://le2i.cnrs.fr/Falldetection-Dataset?lang=fr. Accessed 30 Oct 2023
2. Bhandari, S., Babar, N., Gupta, P., Shah, N., Pujari, S.: A novel approach for fall detection in home environment. In: 2017 IEEE 6th Global Conference on Consumer Electronics (GCCE), pp. 1–5. IEEE (2017)
3. Charfi, I., Miteran, J., Dubois, J., Atri, M., Tourki, R.: Definition and performance evaluation of a robust SVM based fall detection solution. In: 2012 Eighth International Conference on Signal Image Technology and Internet based Systems, pp. 218–224. IEEE (2012)
4. Fang, H.S., et al.: Alphapose: whole-body regional multi-person pose estimation and tracking in real-time. IEEE Trans. Pattern Anal. Mach. Intell. (2022)
5. Feng, Q., Gao, C., Wang, L., Zhao, Y., Song, T., Li, Q.: Spatio-temporal fall event detection in complex scenes using attention guided lstm. Pattern Recogn. Lett. 130, 242–249 (2020)
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