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 …

Homecare robotic systems for healthcare 4.0: Visions and enabling technologies

G Yang, Z Pang, MJ Deen, M Dong… - IEEE journal of …, 2020 - ieeexplore.ieee.org
Powered by the technologies that have originated from manufacturing, the fourth revolution
of healthcare technologies is happening (Healthcare 4.0). As an example of such revolution …

Continuous human activity classification from FMCW radar with Bi-LSTM networks

A Shrestha, H Li, J Le Kernec… - IEEE Sensors …, 2020 - ieeexplore.ieee.org
Recognition of human movements with radar for ambient activity monitoring is a developed
area of research that yet presents outstanding challenges to address. In real environments …

Bi-LSTM network for multimodal continuous human activity recognition and fall detection

H Li, A Shrestha, H Heidari, J Le Kernec… - IEEE Sensors …, 2019 - ieeexplore.ieee.org
This paper presents a framework based on multilayer bi-LSTM network (bidirectional Long
Short-Term Memory) for multimodal sensor fusion to sense and classify daily activities' …

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 …

Semisupervised human activity recognition with radar micro-Doppler signatures

X Li, Y He, F Fioranelli, X Jing - IEEE Transactions on …, 2021 - ieeexplore.ieee.org
Human activity recognition (HAR) plays a vital role in many applications, such as
surveillance, in-home monitoring, and health care. Portable radar sensor has been …

Fall detection system for elderly people using IoT and ensemble machine learning algorithm

D Yacchirema, JS de Puga, C Palau… - Personal and Ubiquitous …, 2019 - Springer
Falls represent a major public health risk worldwide for the elderly people. A fall not assisted
in time can cause functional impairment in an elderly and a significant decrease in his …

Fall detection system for elderly people using IoT and big data

D Yacchirema, JS De Puga, C Palau… - Procedia computer science, 2018 - Elsevier
Falls represent a major public health risk worldwide for the elderly people. A fall not assisted
in time can cause functional impairment in an elder and a significant decrease in his …

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 …

Radar and RGB-depth sensors for fall detection: A review

E Cippitelli, F Fioranelli, E Gambi… - IEEE Sensors …, 2017 - ieeexplore.ieee.org
This paper reviews recent works in the literature on the use of systems based on radar and
RGB-Depth (RGB-D) sensors for fall detection, and discusses outstanding research …