Wearables and the Internet of Things (IoT), applications, opportunities, and challenges: A Survey

FJ Dian, R Vahidnia, A Rahmati - IEEE access, 2020 - ieeexplore.ieee.org
Smart wearables collect and analyze data, and in some scenarios make a smart decision
and provide a response to the user and are finding more and more applications in our daily …

A review of wearable sensors and systems with application in rehabilitation

S Patel, H Park, P Bonato, L Chan… - … of neuroengineering and …, 2012 - Springer
The aim of this review paper is to summarize recent developments in the field of wearable
sensors and systems that are relevant to the field of rehabilitation. The growing body of work …

Fedhome: Cloud-edge based personalized federated learning for in-home health monitoring

Q Wu, X Chen, Z Zhou, J Zhang - IEEE Transactions on Mobile …, 2020 - ieeexplore.ieee.org
In-home health monitoring has attracted great attention for the ageing population worldwide.
With the abundant user health data accessed by Internet of Things (IoT) devices and recent …

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 …

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 …

A survey on fall detection: Principles and approaches

M Mubashir, L Shao, L Seed - Neurocomputing, 2013 - Elsevier
Fall detection is a major challenge in the public health care domain, especially for the
elderly, and reliable surveillance is a necessity to mitigate the effects of falls. The technology …

A novel feature extraction method for preimpact fall detection system using deep learning and wearable sensors

R Jain, VB Semwal - IEEE Sensors Journal, 2022 - ieeexplore.ieee.org
Fall detection and prevention are crucial in elderly healthcare and humanoid robotic
research as they help mitigate the damaging after-effects of falls. In this work, we have …

A review on applications of activity recognition systems with regard to performance and evaluation

S Ranasinghe, F Al Machot… - International Journal of …, 2016 - journals.sagepub.com
Activity recognition systems are a large field of research and development, currently with a
focus on advanced machine learning algorithms, innovations in the field of hardware …

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 …

Automatic fall monitoring: A review

N Pannurat, S Thiemjarus, E Nantajeewarawat - Sensors, 2014 - mdpi.com
Falls and fall-related injuries are major incidents, especially for elderly people, which often
mark the onset of major deterioration of health. More than one-third of home-dwelling people …