A comprehensive review of elderly fall detection using wireless communication and artificial intelligence techniques

SK Gharghan, HA Hashim - Measurement, 2024 - Elsevier
Falls among older adults substantially affect mobility, health, and mortality. However,
advancements in wireless and internet-of-things technologies have led to the development …

[PDF][PDF] Intelligent Intrusion Detection System for the Internet of Medical Things Based on Data-Driven Techniques.

O Taouali, S Bacha, K Ben Abdellafou… - … Systems Science & …, 2023 - cdn.techscience.cn
Introducing IoT devices to healthcare fields has made it possible to remotely monitor
patients' information and provide a proper diagnosis as needed, resulting in the Internet of …

CABMNet: An adaptive two-stage deep learning network for optimized spatial and temporal analysis in fall detection

V Soni, H Yadav, S Bijrothiya, VB Semwal - Biomedical Signal Processing …, 2024 - Elsevier
Fall detection is an emerging problem in the field of elderly care and health monitoring. Falls
can cause severe injuries and even death among the elderly, and prompt detection can …

A Hybrid Deep Learning Model for Human Activity Recognition and Fall Detection for the Elderly

F Kharrat, W Gueaieb, F Karray… - 2023 IEEE International …, 2023 - ieeexplore.ieee.org
Modern society faces a significant challenge with the aging of the global population. The
number of seniors is projected to surpass 1.4 billion by 2030, which will undoubtedly impact …

Efficient Intelligent E-Learning Behavior-Based Analytics of Student's Performance Using Deep Forest Model.

R Alotaibi, O Reyad, ME Karar - Computer Systems Science …, 2024 - search.ebscohost.com
E-learning behavior data indicates several students' activities on the e-learning platform
such as the number of accesses to a set of resources and number of participants in lectures …