Killer heuristic optimized convolution neural network-based fall detection with wearable IoT sensor devices
A Alarifi, A Alwadain - Measurement, 2021 - Elsevier
Current multi-disciplinary research views falls in the elderly as a significant worldwide public
health risk. Several fall detection systems have been created that use wearable motion …
health risk. Several fall detection systems have been created that use wearable motion …
Fall detection from smart wearable sensors using deep convolutional neural network with squeeze-and-excitation module
S Mekruksavanich, P Jantawong… - 2021 25th …, 2021 - ieeexplore.ieee.org
Older people are at a higher risk of injury or death due to falls than the general population.
As the world's population ages, new fall detection and prevention technology must be …
As the world's population ages, new fall detection and prevention technology must be …
Fall detection system for elderly people using IoT and ensemble machine learning algorithm
D Yacchirema, JS de Puga, C Palau… - Personal and Ubiquitous …, 2019 - Springer
Falls represent a major public health risk worldwide for the elderly people. A fall not assisted
in time can cause functional impairment in an elderly and a significant decrease in his …
in time can cause functional impairment in an elderly and a significant decrease in his …
A novel feature extraction method for preimpact fall detection system using deep learning and wearable sensors
Fall detection and prevention are crucial in elderly healthcare and humanoid robotic
research as they help mitigate the damaging after-effects of falls. In this work, we have …
research as they help mitigate the damaging after-effects of falls. In this work, we have …
Accelerometer-based human fall detection using convolutional neural networks
Human falls are a global public health issue resulting in over 37.3 million severe injuries
and 646,000 deaths yearly. Falls result in direct financial cost to health systems and …
and 646,000 deaths yearly. Falls result in direct financial cost to health systems and …
CNN-LSTM combined network for IoT enabled fall detection applications
J Xu, Z He, Y Zhang - Journal of Physics: Conference Series, 2019 - iopscience.iop.org
An accidental fall could do a great damage to the health of elderly. Failure to provide timely
assistance after a fall may cause injury or even death. In this paper, a fall detection algorithm …
assistance after a fall may cause injury or even death. In this paper, a fall detection algorithm …
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 …
Deep learning based systems developed for fall detection: a review
Accidental falls are a major source of loss of autonomy, deaths, and injuries among the
elderly. Accidental falls also have a remarkable impact on the costs of national health …
elderly. Accidental falls also have a remarkable impact on the costs of national health …
Fall detection system for elderly people using IoT and big data
D Yacchirema, JS De Puga, C Palau… - Procedia computer science, 2018 - Elsevier
Falls represent a major public health risk worldwide for the elderly people. A fall not assisted
in time can cause functional impairment in an elder and a significant decrease in his …
in time can cause functional impairment in an elder and a significant decrease in his …
An efficient machine learning-based elderly fall detection algorithm
Falling is a commonly occurring mishap with elderly people, which may cause serious
injuries. Thus, rapid fall detection is very important in order to mitigate the severe effects of …
injuries. Thus, rapid fall detection is very important in order to mitigate the severe effects of …