Internet of things for smart healthcare: Technologies, challenges, and opportunities
Internet of Things (IoT) technology has attracted much attention in recent years for its
potential to alleviate the strain on healthcare systems caused by an aging population and a …
potential to alleviate the strain on healthcare systems caused by an aging population and a …
A systematic review of wearable sensors and IoT-based monitoring applications for older adults–a focus on ageing population and independent living
This review aims to present current advancements in wearable technologies and IoT-based
applications to support independent living. The secondary aim was to investigate the …
applications to support independent living. The secondary aim was to investigate the …
A movement decomposition and machine learning-based fall detection system using wrist wearable device
T De Quadros, AE Lazzaretti… - IEEE Sensors …, 2018 - ieeexplore.ieee.org
Falls in the elderly is a world health problem. Although many fall detection solutions were
presented in literature, few of them are wrist-wearable devices, mainly due to typical …
presented in literature, few of them are wrist-wearable devices, mainly due to typical …
Elderly fall detection using wearable sensors: A low cost highly accurate algorithm
M Saleh, RLB Jeannès - IEEE Sensors Journal, 2019 - ieeexplore.ieee.org
Every year, more than 37 million falls that require medical attention occur. The elderly suffers
the greatest number of fatal falls. Therefore, automatic fall detection for the elderly is one of …
the greatest number of fatal falls. Therefore, automatic fall detection for the elderly is one of …
DeFall: Environment-independent passive fall detection using WiFi
Fall is recognized as one of the most frequent accidents among elderly people. Many
solutions, either wearable or noncontact, have been proposed for fall detection (FD) …
solutions, either wearable or noncontact, have been proposed for fall detection (FD) …
FallAllD: An open dataset of human falls and activities of daily living for classical and deep learning applications
M Saleh, M Abbas, RB Le Jeannes - IEEE Sensors Journal, 2020 - ieeexplore.ieee.org
In the last two decades, a wide variety of wearable fall detection systems have been
proposed. Most of them were based on machine learning. While the reported results give the …
proposed. Most of them were based on machine learning. While the reported results give the …
An integrated vision-based approach for efficient human fall detection in a home environment
Falls are an important healthcare problem for vulnerable persons like seniors. Response to
potential emergencies can be fastened timely detection and classification of falls. This paper …
potential emergencies can be fastened timely detection and classification of falls. This paper …
An IoT based device-type invariant fall detection system
S Nooruddin, MM Islam, FA Sharna - Internet of Things, 2020 - Elsevier
As the world elderly population is increasing rapidly, the use of technology for the
development of accurate and fast automatic fall detection systems has become a necessity …
development of accurate and fast automatic fall detection systems has become a necessity …
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 …
Innovative IoT solutions and wearable sensing systems for monitoring human biophysical parameters: A review
Digital and information technologies are heavily pervading several aspects of human
activities, improving our life quality. Health systems are undergoing a real technological …
activities, improving our life quality. Health systems are undergoing a real technological …