[HTML][HTML] Latest research trends in fall detection and prevention using machine learning: A systematic review

S Usmani, A Saboor, M Haris, MA Khan, H Park - Sensors, 2021 - mdpi.com
Falls are unusual actions that cause a significant health risk among older people. The
growing percentage of people of old age requires urgent development of fall detection and …

Research of fall detection and fall prevention technologies: A systematic review

L Ren, Y Peng - IEEE access, 2019 - ieeexplore.ieee.org
Falls are abnormal activity events that occur infrequently; however, they are serious health
problems among elderly individuals. With the advancements of technologies, falls have …

Fall detection based on key points of human-skeleton using openpose

W Chen, Z Jiang, H Guo, X Ni - Symmetry, 2020 - mdpi.com
According to statistics, falls are the primary cause of injury or death for the elderly over 65
years old. About 30% of the elderly over 65 years old fall every year. Along with the increase …

Artificial intelligence-enabled digital transformation in elderly healthcare field: sco** review

CH Lee, C Wang, X Fan, F Li, CH Chen - Advanced engineering …, 2023 - Elsevier
As the ageing population grows continuously, traditional healthcare providers are
experiencing difficulty in kee** up with changing and unpredictable demands as well as …

[PDF][PDF] Accelerometer-based elderly fall detection system using edge artificial intelligence architecture

OZ Salah, SK Selvaperumal, R Abdulla - Int. J. Electr. Comput. Eng, 2022 - academia.edu
Falls have long been one of the most serious threats to elderly people's health. Detecting
falls in real-time can reduce the time the elderly remains on the floor after a fall, hence …

A review on utilizing machine learning technology in the fields of electronic emergency triage and patient priority systems in telemedicine: Coherent taxonomy …

OH Salman, Z Taha, MQ Alsabah, YS Hussein… - Computer Methods and …, 2021 - Elsevier
Background With the remarkable increasing in the numbers of patients, the triaging and
prioritizing patients into multi-emergency level is required to accommodate all the patients …

Sensor technologies for fall detection systems: A review

A Singh, SU Rehman, S Yongchareon… - IEEE Sensors …, 2020 - ieeexplore.ieee.org
The risk of falls in older adults restrict their social life and independent living. The assisted
living devices help older adults to live independently in their home, giving a psychological …

Activity-aware fall detection and recognition based on wearable sensors

F Hussain, F Hussain, M Ehatisham-ul-Haq… - IEEE Sensors …, 2019 - ieeexplore.ieee.org
Falling is a severe hazard among older adults. Fall treatment is considered to be one of the
most costly treatments, which usually extends to a long time. One bad fall can cause severe …

[HTML][HTML] Fall detection in older adults with mobile IoT devices and machine learning in the cloud and on the edge

D Mrozek, A Koczur, B Małysiak-Mrozek - Information Sciences, 2020 - Elsevier
Remote monitoring of older adults and detecting dangers in the state of human health have
become essential elements of modern telemedicine. Falls are a frequent reason for deaths …

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 …