[HTML][HTML] 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 …

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 …

[HTML][HTML] IoT in smart cities: A survey of technologies, practices and challenges

AS Syed, D Sierra-Sosa, A Kumar, A Elmaghraby - Smart Cities, 2021 - mdpi.com
Internet of Things (IoT) is a system that integrates different devices and technologies,
removing the necessity of human intervention. This enables the capacity of having smart (or …

Machine learning and data analytics for the IoT

E Adi, A Anwar, Z Baig, S Zeadally - Neural computing and applications, 2020 - Springer
Abstract The Internet of Things (IoT) applications have grown in exorbitant numbers,
generating a large amount of data required for intelligent data processing. However, the …

[HTML][HTML] Analysis of factors affecting IoT-based smart hospital design

BÇ Uslu, E Okay, E Dursun - Journal of Cloud Computing, 2020 - Springer
Currently, rapidly developing digital technological innovations affect and change the
integrated information management processes of all sectors. The high efficiency of these …

A deep learning approach for intrusion detection in Internet of Things using focal loss function

AS Dina, AB Siddique, D Manivannan - Internet of Things, 2023 - Elsevier
Abstract Internet of Things (IoT) is likely to revolutionize healthcare, energy, education,
transportation, manufacturing, military, agriculture, and other industries. However, for the …

[HTML][HTML] Elderly perception on the internet of things-based integrated smart-home system

TH Jo, JH Ma, SH Cha - Sensors, 2021 - mdpi.com
An integrated smart home system (ISHS) is an effective way to improve the quality of life of
the elderly. The elderly's willingness is essential to adopt an ISHS; to the best of our …

A multimodal approach using deep learning for fall detection

YM Galvão, J Ferreira, VA Albuquerque… - Expert Systems with …, 2021 - Elsevier
A computational system able to automatically and efficiently detect and classify falls would
be beneficial for monitoring the elderly population and speed up the assistance …

[HTML][HTML] Pathway of trends and technologies in fall detection: a systematic review

R Tanwar, N Nandal, M Zamani, AA Manaf - Healthcare, 2022 - mdpi.com
Falling is one of the most serious health risk problems throughout the world for elderly
people. Considerable expenses are allocated for the treatment of after-fall injuries and …

Sensor-based fall detection systems: a review

S Nooruddin, MM Islam, FA Sharna, H Alhetari… - Journal of Ambient …, 2022 - Springer
Accidental fall is one of the most prevalent causes of loss of autonomy, deaths and injuries
among the elderly people. Fall detection and rescue systems with the advancement of …