[HTML][HTML] Deep learning for computer vision based activity recognition and fall detection of the elderly: a systematic review
FX Gaya-Morey, C Manresa-Yee, JM Buades-Rubio - Applied Intelligence, 2024 - Springer
As the proportion of elderly individuals in developed countries continues to rise globally,
addressing their healthcare needs, particularly in preserving their autonomy, is of paramount …
addressing their healthcare needs, particularly in preserving their autonomy, is of paramount …
[HTML][HTML] Transformer-based fall detection in videos
A Núñez-Marcos, I Arganda-Carreras - Engineering Applications of …, 2024 - Elsevier
Falls pose a major threat for the elderly as they result in severe consequences for their
physical and mental health or even death in the worst-case scenario. Nonetheless, the …
physical and mental health or even death in the worst-case scenario. Nonetheless, the …
[HTML][HTML] Synergistic Integration of Skeletal Kinematic Features for Vision-Based Fall Detection
According to the World Health Organisation, falling is a major health problem with potentially
fatal implications. Each year, thousands of people die as a result of falls, with seniors making …
fatal implications. Each year, thousands of people die as a result of falls, with seniors making …
[HTML][HTML] Fall direction detection in motion state based on the FMCW radar
L Ma, X Li, G Liu, Y Cai - Sensors, 2023 - mdpi.com
Accurately detecting falls and providing clear directions for the fall can greatly assist medical
staff in promptly developing rescue plans and reducing secondary injuries during …
staff in promptly developing rescue plans and reducing secondary injuries during …
Activity Classification and Fall Detection Using Monocular Depth and Motion Analysis
In the realm of senior care, falls remain the primary cause of hospitalization and mortality.
Early detection can facilitate timely medical interventions and mitigate the associated risks …
Early detection can facilitate timely medical interventions and mitigate the associated risks …
Visual fall detection from activities of daily living for assistive living
SQ Wahla, MU Ghani - IEEE Access, 2023 - ieeexplore.ieee.org
Health facilities have increased life expectancy, a key factor for the growth of the elderly
population. Elderly people are at increased risk of falls, causing physical and psychological …
population. Elderly people are at increased risk of falls, causing physical and psychological …
DResInceptionNasNet method for offline grounding detection of distribution networks
L Yin, J Huang - Applied Soft Computing, 2023 - Elsevier
Almost all existing distribution network grounding tests are online. The existing offline
distribution network grounding detection methods are all manual handling methods, which …
distribution network grounding detection methods are all manual handling methods, which …
Feature fusion-based computer vision system for fall and head injury detection trained on a new humanlike doll-based dataset
Head injury is among the most severe consequences of fall. Hence, there is a significant gap
in fall detection research due to the lack of a dataset that includes furniture-caused occlusion …
in fall detection research due to the lack of a dataset that includes furniture-caused occlusion …
A Privacy-Preserving AIoT Framework for Fall Detection and Classification Using Hierarchical Learning With Multi-Level Feature Fusion
S Mobsite, N Alaoui, M Boulmalf… - IEEE Internet of Things …, 2024 - ieeexplore.ieee.org
Privacy and false fall detection pose a significant challenge within the current camera-based
human activity monitoring research. In response, we propose a solution that leverages the …
human activity monitoring research. In response, we propose a solution that leverages the …
Fire Hawks Optimizer with hybrid deep learning driven fall detection on multimodal sensor data
KD Bhavani, MF Ukrit - Multimedia Tools and Applications, 2024 - Springer
Falls are the main factor contributing to nonfatal and fatal injuries among older persons. Fall
detection on sensor data uses different sensors to identify when an individual has fallen. The …
detection on sensor data uses different sensors to identify when an individual has fallen. The …