TechRxiv

IntNet: Lightweight yet High-Performance Deep Learning System for Intuitive Radar Patterns Analysis and Human Fall Detection

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posted on 2023-12-02, 19:32 authored by Malek AlmallahMalek Almallah, Belal Sababha

Due to the involvement of human subjects or animals in this study, all ethical and experimental procedures and protocols were approved by the Institutional Review Board (IRB) at Princess Sumaya University for Technology under research protocol number (2023-0071)

Funding

Princess Sumaya University for Technology

History

Email Address of Submitting Author

m.y.mallah@outlook.com

ORCID of Submitting Author

0000-0003-1070-3116

Submitting Author's Institution

Princess Sumaya University for Technology

Submitting Author's Country

  • Jordan