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 …

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 …

[HTML][HTML] Detecting falls with wearable sensors using machine learning techniques

AT Özdemir, B Barshan - Sensors, 2014 - mdpi.com
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 …

Evaluation of accelerometer-based fall detection algorithms on real-world falls

F Bagala, C Becker, A Cappello, L Chiari, K Aminian… - PloS one, 2012 - journals.plos.org
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 …

Evaluation of accelerometer based multi-sensor versus single-sensor activity recognition systems

L Gao, AK Bourke, J Nelson - Medical engineering & physics, 2014 - Elsevier
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 …

FAST: A fog computing assisted distributed analytics system to monitor fall for stroke mitigation

Y Cao, S Chen, P Hou, D Brown - 2015 IEEE international …, 2015 - ieeexplore.ieee.org
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 …

A comparison of accuracy of fall detection algorithms (threshold-based vs. machine learning) using waist-mounted tri-axial accelerometer signals from a …

O Aziz, M Musngi, EJ Park, G Mori… - Medical & biological …, 2017 - Springer
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 …

Pathway of trends and technologies in fall detection: a systematic review

R Tanwar, N Nandal, M Zamani, AA Manaf - Healthcare, 2022 - mdpi.com
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 …

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 …

Fall prediction and prevention systems: recent trends, challenges, and future research directions

R Rajagopalan, I Litvan, TP Jung - Sensors, 2017 - mdpi.com
Fall prediction is a multifaceted problem that involves complex interactions between
physiological, behavioral, and environmental factors. Existing fall detection and prediction …