Survey and evaluation of real-time fall detection approaches-Reference-Cited by-同舟云学术

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Survey and evaluation of real-time fall detection approaches

Published:2009-12 Issue: Volume: Page:
ISSN:
Container-title:2009 6th International Symposium on High Capacity Optical Networks and Enabling Technologies (HONET)
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Author:

Perry James T.,Kellog Scott,Vaidya Sundar M.,Youn Jong-Hoon,Ali Hesham,Sharif Hamid

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx5/5418379/5423051/05423081.pdf?arnumber=5423081

Cited by 54 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Acquisition of Data on Kinematic Responses to Unpredictable Gait Perturbations: Collection and Quality Assurance of Data for Use in Machine Learning Algorithms for (Near-)Fall Detection;Sensors;2024-08-20

2. Development of artificial intelligence edge computing based wearable device for fall detection and prevention of elderly people;Heliyon;2024-04

3. Human fall detection algorithm based on random forest and MPU6050;Fourth International Conference on Computer Vision and Data Mining (ICCVDM 2023);2024-02-19

4. Monitoring Senior Citizens Using IoT and ML;Lecture Notes in Electrical Engineering;2023

5. Eye‐Tact: An ensemble based multi‐model and multidimensional approach for fall prediction and evaluation in Parkinson's Disease patients;Expert Systems;2022-11-05

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