Elderly fall detection systems: A literature survey

X Wang, J Ellul, G Azzopardi - Frontiers in Robotics and AI, 2020 - frontiersin.org
Falling is among the most damaging event elderly people may experience. With the ever-
growing aging population, there is an urgent need for the development of fall detection …

Consequences of chronic diseases and other limitations associated with old age–a scoping review

P Maresova, E Javanmardi, S Barakovic… - BMC public health, 2019 - Springer
Background The phenomenon of the increasing number of ageing people in the world is
arguably the most significant economic, health and social challenge that we face today …

SmartFall: A smartwatch-based fall detection system using deep learning

TR Mauldin, ME Canby, V Metsis, AHH Ngu, CC Rivera - Sensors, 2018 - mdpi.com
This paper presents SmartFall, an Android app that uses accelerometer data collected from
a commodity-based smartwatch Internet of Things (IoT) device to detect falls. The …

Fall detection and activity recognition using human skeleton features

H Ramirez, SA Velastin, I Meza, E Fabregas… - Ieee …, 2021 - ieeexplore.ieee.org
Human activity recognition has attracted the attention of researchers around the world. This
is an interesting problem that can be addressed in different ways. Many approaches have …

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 …

Fall detection and fall risk assessment in older person using wearable sensors: A systematic review

P Bet, PC Castro, MA Ponti - International journal of medical informatics, 2019 - Elsevier
Background wearable sensors are often used to acquire data for gait analysis as a strategy
to study fall events, due to greater availability of acquisition platforms, and advances in …

A systematic review of wearable sensors and IoT-based monitoring applications for older adults–a focus on ageing population and independent living

MM Baig, S Afifi, H GholamHosseini, F Mirza - Journal of medical systems, 2019 - Springer
This review aims to present current advancements in wearable technologies and IoT-based
applications to support independent living. The secondary aim was to investigate the …

Sensor technologies for fall detection systems: A review

A Singh, SU Rehman, S Yongchareon… - IEEE Sensors …, 2020 - ieeexplore.ieee.org
The risk of falls in older adults restrict their social life and independent living. The assisted
living devices help older adults to live independently in their home, giving a psychological …

A vision-based approach for fall detection using multiple cameras and convolutional neural networks: A case study using the UP-Fall detection dataset

R Espinosa, H Ponce, S Gutiérrez… - Computers in biology …, 2019 - Elsevier
The automatic recognition of human falls is currently an important topic of research for the
computer vision and artificial intelligence communities. In image analysis, it is common to …

Online fall detection using recurrent neural networks on smart wearable devices

M Musci, D De Martini, N Blago… - … on Emerging Topics …, 2020 - ieeexplore.ieee.org
Unintentional falls can cause severe injuries and even death, especially if no immediate
assistance is given. A fall detection system aims to detect a fall as soon as it occurs …