Enhancing Fall Detection in Alzheimer’s Patients Using Unsupervised Domain Adaptation
Falls are a leading cause of injury and morbidity among older adults, especially those with Alzheimer’s disease (AD), who face increased risks due to cognitive decline, gait instability, and impaired spatial awareness. Whil... | Find, read and cite all the research you need on Tech Science Press
Authors
- Sultan Noman Qasem (ORCID: https://orcid.org/0000-0002-6575-161X)
- Faisal Saeed (ORCID: https://orcid.org/0000-0002-2822-1708)
- Shahid Latif (ORCID: https://orcid.org/0000-0002-6368-2729)
- Ibtehal Nafea
- Mujeeb Ur Rehman (ORCID: https://orcid.org/0000-0002-9879-7374)
- Umair Naeem (ORCID: https://orcid.org/0000-0003-0411-6839)
- Nadhmi A. Gazem
Publication Details
- Journal
- Computer Modeling in Engineering & Sciences
- Published
- 2025-01-01
- DOI
- https://doi.org/10.32604/cmes.2025.066517
- Citations
- 1
- Primary Topic
- Context-Aware Activity Recognition Systems
- Type
- article
- Field-Weighted Citation Impact
- 1.28
Funders
- King Salman Center for Disability Research