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 …

The effectiveness of e-interventions on fall, neuromuscular functions and quality of life in community-dwelling older adults: a systematic review and meta-analysis

JKY Chan, P Klainin-Yobas, Y Chi, JKE Gan… - International journal of …, 2021 - Elsevier
Background Falls in older adults result in serious, life-limiting consequences. An increasing
number of fall prevention interventions have used technology to reduce the number of falls …

Directing and orienting ICT healthcare solutions to address the needs of the aging population

N Fares, RS Sherratt, IH Elhajj - Healthcare, 2021 - mdpi.com
Background: With an aging population, it is essential to maintain good health and autonomy
for as long as possible. Instead of hospitalisation or institutionalisation, older people with …

Artificial Intelligence and IoT in Elderly Fall Prevention: A Review

D Mohan, DZ Al-Hamid, PHJ Chong… - IEEE Sensors …, 2024 - ieeexplore.ieee.org
Globally, the number of falls among the elderly is rising, particularly among those 60 and
older. An important contributing element to these falls is the fact that elderly people who live …

[HTML][HTML] Requirements for unobtrusive monitoring to support home-based dementia care: qualitative study among formal and informal caregivers

C Wrede, A Braakman-Jansen, L van Gemert-Pijnen - JMIR aging, 2021 - aging.jmir.org
Background: Due to a growing shortage in residential care, people with dementia will
increasingly be encouraged to live at home for longer. Although people with dementia prefer …

How to create value with unobtrusive monitoring technology in home-based dementia care: a multimethod study among key stakeholders

C Wrede, A Braakman-Jansen, L van Gemert-Pijnen - BMC geriatrics, 2022 - Springer
Background There is a growing interest to support extended independent living of people
with dementia (PwD) via unobtrusive monitoring (UM) technologies which allow caregivers …

Smart healthcare system-a brain-like computing approach for analyzing the performance of detectron2 and PoseNet models for anomalous action detection in aged …

R Divya, JD Peter - Complex & Intelligent Systems, 2022 - Springer
In this era of artificial intelligence, a wide variety of techniques are available in healthcare
industry especially to study about various changes happening in the human body. Intelligent …

eHomeSeniors dataset: An infrared thermal sensor dataset for automatic fall detection research

F Riquelme, C Espinoza, T Rodenas, JG Minonzio… - Sensors, 2019 - mdpi.com
Automatic fall detection is a very active research area, which has grown explosively since
the 2010s, especially focused on elderly care. Rapid detection of falls favors early …

A transfer reinforcement learning framework for smart home energy management systems

M Khan, BN Silva, O Khattab, B Alothman… - IEEE Sensors …, 2022 - ieeexplore.ieee.org
Transfer learning (TL) is widely used as a solution to overcome the huge amount of time
required to train a deep learning model. However, a number of challenges are associated …

Prediction of fall risk among community-dwelling older adults using a wearable system

TE Lockhart, R Soangra, H Yoon, T Wu, CW Frames… - Scientific reports, 2021 - nature.com
Falls are among the most common cause of decreased mobility and independence in older
adults and rank as one of the most severe public health problems with frequent fatal …