References

References

[1] Lu, Kun-Lin, and Edward Chu. "An Image-Based Fall Detection System for the Elderly." Applied Sciences 8.10 (2018).

[2] Gasparrini, Samuele, et al. "A depth-based fall detection system using a Kinect® sensor." Sensors 14.2 (2014): 2756-2775.

[3] Mauldin, Taylor, et al. "SmartFall: A smartwatch-based fall detection system using deep learning." Sensors 18.10 (2018).

[4] Martínez-Villaseñor, Lourdes, et al. "UP-fall detection dataset: a multimodal approach." Sensors 19.9 (2019).

[5] https://sites.google.com/up.edu.mx/har-up/

[6] Casilari, Eduardo, José-Antonio Santoyo-Ramón, and José-Manuel Cano-García. "Analysis of public datasets for wearable fall detection systems." Sensors 17.7 (2017).

[7] https://github.com/chizhanyuefeng/Realtime-Fall-Detection-for-RNN

[8] https://github.com/SINTEF-SIT/project_gravity

[9] Chakraborty, Anirban, et al. "Adversarial attacks and defenses: A survey." arXiv preprint arXiv:1810.00069 (2018).

[10] Khan, Shehroz S., Jacob Nogas, and Alex Mihailidis. "Spatio-Temporal Adversarial Learning for Detecting Unseen Falls." arXiv preprint arXiv:1905.07817 (2019).