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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 …
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 …
[HTML][HTML] Detecting falls with wearable sensors using machine learning techniques
Falls are a serious public health problem and possibly life threatening for people in fall risk
groups. We develop an automated fall detection system with wearable motion sensor units …
groups. We develop an automated fall detection system with wearable motion sensor units …
Evaluation of accelerometer-based fall detection algorithms on real-world falls
Despite extensive preventive efforts, falls continue to be a major source of morbidity and
mortality among elderly. Real-time detection of falls and their urgent communication to a …
mortality among elderly. Real-time detection of falls and their urgent communication to a …
Evaluation of accelerometer based multi-sensor versus single-sensor activity recognition systems
Physical activity has a positive impact on people's well-being and it had been shown to
decrease the occurrence of chronic diseases in the older adult population. To date, a …
decrease the occurrence of chronic diseases in the older adult population. To date, a …
FAST: A fog computing assisted distributed analytics system to monitor fall for stroke mitigation
Fog computing is a recently proposed computing paradigm that extends Cloud computing
and services to the edge of the network. The new features offered by fog computing (eg …
and services to the edge of the network. The new features offered by fog computing (eg …
A comparison of accuracy of fall detection algorithms (threshold-based vs. machine learning) using waist-mounted tri-axial accelerometer signals from a …
Falls are the leading cause of injury-related morbidity and mortality among older adults.
Over 90% of hip and wrist fractures and 60% of traumatic brain injuries in older adults are …
Over 90% of hip and wrist fractures and 60% of traumatic brain injuries in older adults are …
Pathway of trends and technologies in fall detection: a systematic review
Falling is one of the most serious health risk problems throughout the world for elderly
people. Considerable expenses are allocated for the treatment of after-fall injuries and …
people. Considerable expenses are allocated for the treatment of after-fall injuries and …
Automatic fall monitoring: A review
N Pannurat, S Thiemjarus, E Nantajeewarawat - Sensors, 2014 - mdpi.com
Falls and fall-related injuries are major incidents, especially for elderly people, which often
mark the onset of major deterioration of health. More than one-third of home-dwelling people …
mark the onset of major deterioration of health. More than one-third of home-dwelling people …
Fall prediction and prevention systems: recent trends, challenges, and future research directions
Fall prediction is a multifaceted problem that involves complex interactions between
physiological, behavioral, and environmental factors. Existing fall detection and prediction …
physiological, behavioral, and environmental factors. Existing fall detection and prediction …