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[HTML][HTML] Latest research trends in fall detection and prevention using machine learning: A systematic review
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 …
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 …
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 …
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
As the ageing population grows continuously, traditional healthcare providers are
experiencing difficulty in kee** up with changing and unpredictable demands as well as …
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
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 …
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 …
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 …
prioritizing patients into multi-emergency level is required to accommodate all the patients …
Sensor technologies for fall detection systems: A review
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 …
living devices help older adults to live independently in their home, giving a psychological …
Activity-aware fall detection and recognition based on wearable sensors
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 …
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
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 …
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
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 …