A Review of Vision-based Abnormal Human Activity Analysis for Elderly Emergency Detection-Reference-Cited by-同舟云学术

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A Review of Vision-based Abnormal Human Activity Analysis for Elderly Emergency Detection

Published:2023-09-20 Issue: Volume: Page:
ISSN:
Container-title:2023 International Conference on Innovations in Intelligent Systems and Applications (INISTA)
language:
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Author:

Nouisser Raoudha¹,Jarraya Salma Kammoun²,Hammami Mohamed³

Affiliation:

1. University of Sfax,MIRACL Laboratory Faculty of Economics and Management,Tunisia

2. King Abdulaziz University,Faculty of Computing and Information Technology,Computer Science Department,Jeddah,Saudi Arabia

3. University of Sfax,MIRACL Laboratory Faculty of Sciences,Tunisia

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10310305/10310314/10310327.pdf?arnumber=10310327

Reference30 articles.

1. Abnormal human action recognition using average energy images

2. Posture based health monitoring and unusual behavior recognition system for elderly using dynamic Bayesian network

3. Non-invasive technique for real-time myocardial infarction detection using faster R-CNN

4. Heart Attack Detection in Colour Images Using Convolutional Neural Networks

5. The KIMORE Dataset: KInematic Assessment of MOvement and Clinical Scores for Remote Monitoring of Physical REhabilitation

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