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 …

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 …

Wifall: Device-free fall detection by wireless networks

Y Wang, K Wu, LM Ni - IEEE Transactions on Mobile Computing, 2016 - ieeexplore.ieee.org
Injuries that are caused by falls have been regarded as one of the major health threats to the
independent living for the elderly. Conventional fall detection systems have various …

A survey on ambient-assisted living tools for older adults

P Rashidi, A Mihailidis - IEEE journal of biomedical and health …, 2012 - ieeexplore.ieee.org
In recent years, we have witnessed a rapid surge in assisted living technologies due to a
rapidly aging society. The aging population, the increasing cost of formal health care, the …

Remote patient monitoring: a comprehensive study

LP Malasinghe, N Ramzan, K Dahal - Journal of Ambient Intelligence and …, 2019 - Springer
Healthcare is a field that is rapidly develo** in technology and services. A recent
development in this area is remote monitoring of patients which has many advantages in a …

Unimib shar: A dataset for human activity recognition using acceleration data from smartphones

D Micucci, M Mobilio, P Napoletano - Applied Sciences, 2017 - mdpi.com
Smartphones, smartwatches, fitness trackers, and ad-hoc wearable devices are being
increasingly used to monitor human activities. Data acquired by the hosted sensors are …

A survey on ambient intelligence in healthcare

G Acampora, DJ Cook, P Rashidi… - Proceedings of the …, 2013 - ieeexplore.ieee.org
Ambient Intelligence (AmI) is a new paradigm in information technology aimed at
empowering people's capabilities by means of digital environments that are sensitive …

Human fall detection on embedded platform using depth maps and wireless accelerometer

B Kwolek, M Kepski - Computer methods and programs in biomedicine, 2014 - Elsevier
Since falls are a major public health problem in an aging society, there is considerable
demand for low-cost fall detection systems. One of the main reasons for non-acceptance of …

UP-fall detection dataset: A multimodal approach

L Martínez-Villaseñor, H Ponce, J Brieva, E Moya-Albor… - Sensors, 2019 - mdpi.com
Falls, especially in elderly persons, are an important health problem worldwide. Reliable fall
detection systems can mitigate negative consequences of falls. Among the important …

Deep learning for fall detection: Three-dimensional CNN combined with LSTM on video kinematic data

N Lu, Y Wu, L Feng, J Song - IEEE journal of biomedical and …, 2018 - ieeexplore.ieee.org
Fall detection is an important public healthcare problem. Timely detection could enable
instant delivery of medical service to the injured. A popular nonintrusive solution for fall …