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Towards Secure and Efficient Human Fall Detection:Sensor-Visual Fusion via Gramian Angular Field with Federated CNN

Md Sabir Hossain Md Mahfuzur Rahman Mufti Mahmud

Computer Modeling in Engineering & Sciences2025，Vol.145Issue(10)：P.1087-1116,30.

Computer Modeling in Engineering & Sciences2025，Vol.145Issue(10)：P.1087-1116,30.DOI:10.32604/cmes.2025.068779

Towards Secure and Efficient Human Fall Detection:Sensor-Visual Fusion via Gramian Angular Field with Federated CNN

Md Sabir Hossain ¹Md Mahfuzur Rahman ²Mufti Mahmud³

作者信息

1. Department of Information and Computer Science,King Fahd University of Petroleum&Minerals,Dhahran,31261,Saudi Arabia
2. Department of Information and Computer Science,King Fahd University of Petroleum&Minerals,Dhahran,31261,Saudi Arabia Interdisciplinary Research Center for Intelligent Secure Systems(IRC-ISS),King Fahd University of Petroleum&Minerals,Dhahran,31261,Saudi Arabia
3. Department of Information and Computer Science,King Fahd University of Petroleum&Minerals,Dhahran,31261,Saudi Arabia SDAIA-KFUPM Joint Research Center for AI and Interdisciplinary Research Center for Bio Systems and Machines,King Fahd University of Petroleum&Minerals,Dhahran,31261,Saudi Arabia
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摘要

关键词

Multimodal approach/fall detection/privacy-preserving/federated learning/resource constraints

分类

信息技术与安全科学

引用本文复制引用

Md Sabir Hossain,Md Mahfuzur Rahman,Mufti Mahmud..Towards Secure and Efficient Human Fall Detection:Sensor-Visual Fusion via Gramian Angular Field with Federated CNN[J].Computer Modeling in Engineering & Sciences,2025,145(10):P.1087-1116,30.

基金项目

supported by King Fahd University of Petroleum&Minerals,Dhahran,31261,SaudiArabia （）

Theauthors at KFUP Macknowledge the Interdisciplinary Research Center for Intelligent Secure Systems(IRC-ISS)for the support received under Grant No.INSS2516. （IRC-ISS）

Computer Modeling in Engineering & Sciences

ISSN：1526-1492

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