World guidelines for falls prevention and management for older adults: a global initiative

M Montero-Odasso, N Van Der Velde, FC Martin… - Age and …, 2022 - academic.oup.com
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 …

[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 …

A review and categorization of techniques on device-free human activity recognition

Z Hussain, QZ Sheng, WE Zhang - Journal of Network and Computer …, 2020 - Elsevier
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 …

Different approaches for human activity recognition: A survey

Z Hussain, M Sheng, WE Zhang - arxiv preprint arxiv:1906.05074, 2019 - arxiv.org
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 …

Latest research trends in gait analysis using wearable sensors and machine learning: A systematic review

A Saboor, T Kask, A Kuusik, MM Alam… - Ieee …, 2020 - ieeexplore.ieee.org
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 …

A data analytic framework for physical fatigue management using wearable sensors

ZS Maman, YJ Chen, A Baghdadi, S Lombardo… - Expert Systems with …, 2020 - Elsevier
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 …

Deep learning based systems developed for fall detection: A review

MM Islam, O Tayan, MR Islam, MS Islam… - IEEE …, 2020 - ieeexplore.ieee.org
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 …

[HTML][HTML] Wearable stretch sensors for human movement monitoring and fall detection in ergonomics

H Chander, RF Burch, P Talegaonkar… - International journal of …, 2020 - mdpi.com
Wearable sensors are beneficial for continuous health monitoring, movement analysis,
rehabilitation, evaluation of human performance, and for fall detection. Wearable stretch …

On safety design of vehicle for protection of vulnerable road users: A review

X Lv, Z **ao, J Fang, Q Li, F Lei, G Sun - Thin-Walled Structures, 2023 - Elsevier
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 …