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 …
advancements in wireless and internet-of-things technologies have led to the development …
Human fall detection using machine learning and deep learning techniques: A survey
SS Zebiah, AV Shalomy, J Kachhap… - 2023 4th …, 2023 - ieeexplore.ieee.org
Wearable airbag systems manifest an important role in the senior population, where falls
have become a serious health problem. As a result, these devices are increasingly being …
have become a serious health problem. As a result, these devices are increasingly being …
A robust and automated vision-based human fall detection system using 3D multi-stream CNNs with an image fusion technique
T Alanazi, K Babutain, G Muhammad - Applied Sciences, 2023 - mdpi.com
Unintentional human falls, particularly in older adults, can result in severe injuries and
death, and negatively impact quality of life. The World Health Organization (WHO) states that …
death, and negatively impact quality of life. The World Health Organization (WHO) states that …
A spatio-temporal graph neural network for fall prediction with inertial sensors
S Wang, X Li, G Liao, J Liu, C Liao, M Liu, J Liao… - Knowledge-Based …, 2024 - Elsevier
Falls are the leading cause of unintentional human injury, having become a public health
event of strong social concern. The fall prediction technology based on wearable inertial …
event of strong social concern. The fall prediction technology based on wearable inertial …
Analyzing and Comparing Deep Learning models on a ARM 32 bits microcontroller for pre-impact fall detection
A Benoit, C Escriba, D Gauchard, A Esteve… - IEEE Sensors …, 2024 - ieeexplore.ieee.org
Automated pre-impact fall detection in real-time using raw data acquired from wearable
sensors, such as triaxial accelerometers, remains an open research problem in the context …
sensors, such as triaxial accelerometers, remains an open research problem in the context …
An Interpretable Modular Deep Learning Framework for Video-Based Fall Detection
Falls are a major risk factor for older adults, increasing morbidity and healthcare costs. Video-
based fall-detection systems offer crucial real-time monitoring and assistance. Yet, their …
based fall-detection systems offer crucial real-time monitoring and assistance. Yet, their …
Multi-Microcontroller Sensor Data Acquisition to Enhance UAV Attitude Control, Predictive Maintenance, and Healthcare Solutions
PR Chaudhuri, RA Rashid… - 2023 IEEE 14th Annual …, 2023 - ieeexplore.ieee.org
This paper studies multi-microcontroller data acquisition systems in various industries, such
as UAV attitude control, predictive maintenance, and healthcare solutions, specifically …
as UAV attitude control, predictive maintenance, and healthcare solutions, specifically …
Fall Detection from UWB Radars: A Comparative Analysis of Deep Learning and Classical Machine Learning Techniques
T Imbeault-Nepton, J Maître, K Bouchard… - Proceedings of the 2023 …, 2023 - dl.acm.org
Fall detection poses significant challenges for researchers due to the potential for severe
injuries, such as femoral neck fractures, brain hemorrhages, and skin burns, which can …
injuries, such as femoral neck fractures, brain hemorrhages, and skin burns, which can …
Evaluation of Multiple Bioradar-based Fall Detection System's Performance on a Test Sample including Recordings with Pets, moving Appliances and Household …
D Bezdetnyy, V Slizov… - 2023 5th International …, 2023 - ieeexplore.ieee.org
The global trend towards the population aging makes the medical problems of the elderly, in
particular falls, more significant from both moral and practical points of view. Machine …
particular falls, more significant from both moral and practical points of view. Machine …