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Deep Transfer Learning-Enabled Activity Identification and Fall Detection for Disabled People

Majdy M. Eltahir1, Adil Yousif2, Fadwa Alrowais3, Mohamed K. Nour4, Radwa Marzouk5, Hatim Dafaalla6, Asma Abbas Hassan Elnour6, Amira Sayed A. Aziz7, Manar Ahmed Hamza8,*

1 Department of Computer Science, College of Science & Art at Mahayil, King Khalid University, Saudi Arabia
2 Faculty of Arts and Science, Najran University, Sharourah, Saudi Arabia
3 Department of Computer Sciences, College of Computer and Information Sciences, Princess Nourah bint Abdulrahman University, P.O. Box 84428, Riyadh, 11671, Saudi Arabia
4 Department of Industrial Engineering, College of Engineering at Alqunfudah, Umm Al-Qura University, Saudi Arabia
5 Department of Information Systems, College of Computer and Information Sciences, Princess Nourah bint Abdulrahman University, P.O. Box 84428, Riyadh, 11671, Saudi Arabia
6 Department of Computer Science, College of Applied Sciences, King Khalid University, Muhayil, 63772, Saudi Arabia
7 Department of Digital Media, Faculty of Computers and Information Technology, Future University in Egypt, New Cairo, 11835, Egypt
8 Department of Computer and Self Development, Preparatory Year Deanship, Prince Sattam bin Abdulaziz University, AlKharj, Saudi Arabia

* Corresponding Author: Manar Ahmed Hamza. Email: email

TSP_CMC_34037.pdf

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