A machine learning approach for non-invasive fall detection using Kinect
Author:
Publisher
Springer Science and Business Media LLC
Subject
Computer Networks and Communications,Hardware and Architecture,Media Technology,Software
Link
https://link.springer.com/content/pdf/10.1007/s11042-022-12113-w.pdf
Reference31 articles.
1. Ali N, Neagu D, Trundle P (2019) Evaluation of k-nearest neighbour classifier performance for heterogeneous data sets. SN Applied Sciences 1(12):1559
2. Auvinet E, Multon F, Saint-Arnaud A, Rousseau J, Meunier J (Mar. 2011) Fall detection with multiple cameras: an occlusion-resistant method based on 3-D silhouette vertical distribution. IEEE Trans Inf Technol Biomed 15(2):290–300
3. Bian Z-P, Hou J, Chau L-P, Magnenat-Thalmann N (2015) Fall detection based on body part tracking using a depth camera. IEEE J Biomed Health Inform 19(2):430–439
4. Brulin D, Benezeth Y, Courtial E (Sep. 2012) Posture recognition based on fuzzy logic for home monitoring of the elderly. IEEE Trans Inf Technol Biomed 16(5):974–982
5. Cheng AL, Georgoulas C, Bock T (2016) Fall detection and intervention based on wireless sensor network technologies. Autom Constr 71:116–136
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