Deep neural network for human falling prediction using log data from smart watch and smart phone sensors

Author:

Al-Shawi Anas Nabeel,Kurnaz Sefer

Publisher

Springer Science and Business Media LLC

Subject

Geometry and Topology,Theoretical Computer Science,Software

Reference35 articles.

1. Adhikari K (2019) Computer Vision Based Posture Estimation and Fall Detection. Doctoral Dissertation, Bournemouth University, Poole, UK

2. Butt A, Narejo S, Anjum M, Yonus M, Memon M, Samejo A (2022) Fall detection using LSTM and transfer learning. Wireless Pers Commun 126:1–18. https://doi.org/10.1007/s11277-022-09819-3

3. Cahoolessur DK, Rajkumarsingh B (2020) Fall detection system using XGBoost and IoT. R & D Journal 36:8–18. https://doi.org/10.17159/2309-8988/2020/v36a2

4. Cheng W, Jhan DM (2013) Triaxial accelerometer-based fall detection method using a self-constructing cascade-AdaBoostSVM classifier. IEEE J Biomed Health Inform 17(2):411–419

5. Gkioxari G, Arbeláez P, Bourdev L, Malik J (2013) Articulated pose estimation using discriminative armlet classifiers. Proceed IEEE Conf Comput vis Patt Recogn, Portland, OR, USA 23–28:3342–3349

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