A Novel Approach for Fall Detection Using Thermal Imaging and a Stacking Ensemble of Autoencoder and 3D-CNN Models-Reference-Cited by-同舟云学术

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A Novel Approach for Fall Detection Using Thermal Imaging and a Stacking Ensemble of Autoencoder and 3D-CNN Models

Published:2023-09-24 Issue: Volume: Page:
ISSN:
Container-title:2023 IEEE Canadian Conference on Electrical and Computer Engineering (CCECE)
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Author:

Silver Christopher¹,Akilan Thangarajah²

Affiliation:

1. Lakehead University,Electrical and Computer Engineering,Thunder Bay,Canada

2. Lakehead University,Software Engineering,Thunder Bay,Canada

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10288628/10288648/10288941.pdf?arnumber=10288941

Reference23 articles.

1. Vision-based human fall detection systems using deep learning: A review;alam;Computers in Biology and Medicine,2022

2. Motion and Region Aware Adversarial Learning for Fall Detection with Thermal Imaging

3. Fall detection scheme based on temperature distribution with IR array sensor

4. Human fall detection using passive infrared sensors with low resolution: A systematic review;ben-sadoun;Clinical Interventions in Aging,2022

Cited by 1 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. Learning and Vision-based approach for Human fall detection and classification in naturally occurring scenes using video data;ACM Transactions on Asian and Low-Resource Language Information Processing;2024-08-10

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