Challenges, issues and trends in fall detection systems

R Igual, C Medrano, I Plaza - Biomedical engineering online, 2013‏ - Springer
Since falls are a major public health problem among older people, the number of systems
aimed at detecting them has increased dramatically over recent years. This work presents …

A survey on recent advances in wearable fall detection systems

A Ramachandran, A Karuppiah - BioMed research international, 2020‏ - Wiley Online Library
With advances in medicine and healthcare systems, the average life expectancy of human
beings has increased to more than 80 yrs. As a result, the demographic old‐age …

Home camera-based fall detection system for the elderly

K De Miguel, A Brunete, M Hernando, E Gambao - Sensors, 2017‏ - mdpi.com
Falls are the leading cause of injury and death in elderly individuals. Unfortunately, fall
detectors are typically based on wearable devices, and the elderly often forget to wear them …

The need to approximate the use-case in clinical machine learning

S Saeb, L Lonini, A Jayaraman, DC Mohr… - …, 2017‏ - academic.oup.com
The availability of smartphone and wearable sensor technology is leading to a rapid
accumulation of human subject data, and machine learning is emerging as a technique to …

Activity-aware fall detection and recognition based on wearable sensors

F Hussain, F Hussain, M Ehatisham-ul-Haq… - IEEE Sensors …, 2019‏ - ieeexplore.ieee.org
Falling is a severe hazard among older adults. Fall treatment is considered to be one of the
most costly treatments, which usually extends to a long time. One bad fall can cause severe …

[HTML][HTML] Fall detection in older adults with mobile IoT devices and machine learning in the cloud and on the edge

D Mrozek, A Koczur, B Małysiak-Mrozek - Information Sciences, 2020‏ - Elsevier
Remote monitoring of older adults and detecting dangers in the state of human health have
become essential elements of modern telemedicine. Falls are a frequent reason for deaths …

Deep learning-based near-fall detection algorithm for fall risk monitoring system using a single inertial measurement unit

A Choi, TH Kim, O Yuhai, S Jeong… - IEEE transactions on …, 2022‏ - ieeexplore.ieee.org
Proactively detecting falls and preventing injuries are among the primary keys to a healthy
life for the elderly. Near-fall remote monitoring in daily life could provide key information to …

From fall detection to fall prevention: A generic classification of fall-related systems

K Chaccour, R Darazi, AH El Hassani… - IEEE Sensors …, 2016‏ - ieeexplore.ieee.org
Falls are a major health problem for the frail community dwelling old people. For more than
two decades, falls have been extensively investigated by medical institutions to mitigate their …

Digital technology to enable aging in place

K Kim, SS Gollamudi, S Steinhubl - Experimental gerontology, 2017‏ - Elsevier
Aging, both of individuals and populations, presents challenges and opportunities. The
multitude of morbidities and disabilities that are a too common component of aging …

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 …