Research on Fall Detection Method of Empty-nesters Based on Computer Vision-Reference-Cited by-同舟云学术

Research on Fall Detection Method of Empty-nesters Based on Computer Vision

Published:2022-05-27 Issue: Volume: Page:
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Container-title:2022 IEEE 4th Eurasia Conference on Biomedical Engineering, Healthcare and Sustainability (ECBIOS)
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Author:

Xi Yaochang¹,Chen Peijiang²,Fu Zhenxing¹

Affiliation:

1. School of Automation and Electrical Engineering, Linyi University,Linyi,Shandong,China,276000

2. School of Mechanical and Vehicle Engineering, Linyi University,Linyi,Shandong,China,276000

Publisher

IEEE

Link

Reference12 articles.

1. Fall detection system based on svm and threshold analysis[J];wei;Computer Applications and Software,2017

2. Fall Detection Method and System Research Based on Angangle [J];yong;Journal of Biomedical Engineering,2013

3. Fall-down detection method based on multifeature fusion[J];liang;Smart computers and applications,2020

4. Design and research of a visual-based fall detection system for the elderly [D];yuan;Institutes Of Technology Of Jiangxi,2018

5. Fall detection algorithm based on contour tracking[J];haiwei;Journal of Jiangnan University,2015

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2. Human Keypoint-Guided Fall Detection: An Attention-Integrated GRU Approach;2023 4th International Conference on Machine Learning and Computer Application;2023-10-27

3. A Simple Fall Detection Scheme for Early Detection of Falls in Elderly People;2023 International Conference on Evolutionary Algorithms and Soft Computing Techniques (EASCT);2023-10-20