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World guidelines for falls prevention and management for older adults: a global initiative
Background falls and fall-related injuries are common in older adults, have negative effects
on functional independence and quality of life and are associated with increased morbidity …
on functional independence and quality of life and are associated with increased morbidity …
[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 …
A review and categorization of techniques on device-free human activity recognition
Human activity recognition has gained importance in recent years due to its applications in
various fields such as health, security and surveillance, entertainment, and intelligent …
various fields such as health, security and surveillance, entertainment, and intelligent …
Different approaches for human activity recognition: A survey
Human activity recognition has gained importance in recent years due to its applications in
various fields such as health, security and surveillance, entertainment, and intelligent …
various fields such as health, security and surveillance, entertainment, and intelligent …
Latest research trends in gait analysis using wearable sensors and machine learning: A systematic review
Gait is the locomotion attained through the movement of limbs and gait analysis examines
the patterns (normal/abnormal) depending on the gait cycle. It contributes to the …
the patterns (normal/abnormal) depending on the gait cycle. It contributes to the …
A data analytic framework for physical fatigue management using wearable sensors
The use of expert systems in optimizing and transforming human performance has been
limited in practice due to the lack of understanding of how an individual's performance …
limited in practice due to the lack of understanding of how an individual's performance …
Deep learning based systems developed for fall detection: A review
Accidental falls are a major source of loss of autonomy, deaths, and injuries among the
elderly. Accidental falls also have a remarkable impact on the costs of national health …
elderly. Accidental falls also have a remarkable impact on the costs of national health …
[HTML][HTML] Wearable stretch sensors for human movement monitoring and fall detection in ergonomics
Wearable sensors are beneficial for continuous health monitoring, movement analysis,
rehabilitation, evaluation of human performance, and for fall detection. Wearable stretch …
rehabilitation, evaluation of human performance, and for fall detection. Wearable stretch …
On safety design of vehicle for protection of vulnerable road users: A review
Fatal and serious injuries of vulnerable road users (VRU) occur frequently in the events of
vehicle impact. Front-end crashworthiness of vehicle can considerably affect VRU injuries in …
vehicle impact. Front-end crashworthiness of vehicle can considerably affect VRU injuries in …