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A survey on recent advances in wearable fall detection systems
With advances in medicine and healthcare systems, the average life expectancy of human
beings has increased to more than 80 yrs. As a result, the demographic old‐age …
beings has increased to more than 80 yrs. As a result, the demographic old‐age …
SmartFall: A smartwatch-based fall detection system using deep learning
This paper presents SmartFall, an Android app that uses accelerometer data collected from
a commodity-based smartwatch Internet of Things (IoT) device to detect falls. The …
a commodity-based smartwatch Internet of Things (IoT) device to detect falls. The …
Employing of machine learning and wearable devices in healthcare system: tasks and challenges
Disease outbreaks are nowadays a critical issue despite the development and rapid growth
of technology. One of the major challenges facing healthcare professionals and healthcare …
of technology. One of the major challenges facing healthcare professionals and healthcare …
Edge-AI in LoRa-based health monitoring: Fall detection system with fog computing and LSTM recurrent neural networks
Remote healthcare monitoring has exponentially grown over the past decade together with
the increasing penetration of Internet of Things (IoT) platforms. IoT-based health systems …
the increasing penetration of Internet of Things (IoT) platforms. IoT-based health systems …
[HTML][HTML] A study on the application of convolutional neural networks to fall detection evaluated with multiple public datasets
Due to the repercussion of falls on both the health and self-sufficiency of older people and
on the financial sustainability of healthcare systems, the study of wearable fall detection …
on the financial sustainability of healthcare systems, the study of wearable fall detection …
Wearable fall detector using recurrent neural networks
Falls have become a relevant public health issue due to their high prevalence and negative
effects in elderly people. Wearable fall detector devices allow the implementation of …
effects in elderly people. Wearable fall detector devices allow the implementation of …
Applying deep learning technology for automatic fall detection using mobile sensors
With improved quality of life, many countries are facing a serious aging problem. Falls, one
of the most common issues affecting the health of the elderly, are likely to cause irreversible …
of the most common issues affecting the health of the elderly, are likely to cause irreversible …
Wearables and deep learning classify fall risk from gait in multiple sclerosis
Falls are a significant problem for persons with multiple sclerosis (PwMS). Yet fall prevention
interventions are not often prescribed until after a fall has been reported to a healthcare …
interventions are not often prescribed until after a fall has been reported to a healthcare …
[HTML][HTML] Towards effective detection of elderly falls with CNN-LSTM neural networks
Fall detection is a very challenging task that has a clear impact in the autonomous living of
the elderly individuals: suffering a fall with no support increases the fears of the elderly …
the elderly individuals: suffering a fall with no support increases the fears of the elderly …
NT-FDS—a noise tolerant fall detection system using deep learning on wearable devices
Given the high prevalence and detrimental effects of unintentional falls in the elderly, fall
detection has become a pertinent public concern. A Fall Detection System (FDS) gathers …
detection has become a pertinent public concern. A Fall Detection System (FDS) gathers …