A survey on recent advances in wearable fall detection systems

A Ramachandran, A Karuppiah - BioMed research international, 2020 - Wiley Online Library
With advances in medicine and healthcare systems, the average life expectancy of human
beings has increased to more than 80 yrs. As a result, the demographic old‐age …

[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] A flexible, wearable, and wireless biosensor patch with internet of medical things applications

DT Phan, CH Nguyen, TDP Nguyen, LH Tran, S Park… - Biosensors, 2022 - mdpi.com
Monitoring the vital signs and physiological responses of the human body in daily activities
is particularly useful for the early diagnosis and prevention of cardiovascular diseases. Here …

[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 …

[PDF][PDF] Multimodal wearable sensing for sport-related activity recognition using deep learning networks

S Mekruksavanich, A Jitpattanakul - Journal of Advances in Information …, 2022 - jait.us
Activity Recognition (S-HAR) are generally capable of regular simple actions (walking,
sitting, or standing), but are indistinguishable from sophisticated activities, such as sports …

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 …

[HTML][HTML] A survey of IoT-based fall detection for aiding elderly care: Sensors, methods, challenges and future trends

ME Karar, HI Shehata, O Reyad - Applied Sciences, 2022 - mdpi.com
Remote monitoring of a fall condition or activities and daily life (ADL) of elderly patients has
become one of the essential purposes for modern telemedicine. Internet of Things (IoT) and …

Development of a real-time wearable fall detection system in the context of Internet of Things

Z Qian, Y Lin, W Jing, Z Ma, H Liu, R Yin… - IEEE Internet of …, 2022 - ieeexplore.ieee.org
Fall detection is of increasing significance in terms of the health monitoring of the elderly and
disabled people, as falls may lead to physical injuries or even mental trauma. The existing …

Deep learning based systems developed for fall detection: a review

MM Islam, O Tayan, MR Islam, MS Islam… - IEEE …, 2020 - ieeexplore.ieee.org
Accidental falls are a major source of loss of autonomy, deaths, and injuries among the
elderly. Accidental falls also have a remarkable impact on the costs of national health …