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 …

[HTML][HTML] A survey of indoor location technologies, techniques and applications in industry

SJ Hayward, K van Lopik, C Hinde, AA West - Internet of Things, 2022 - Elsevier
The recent academic research surrounding indoor positioning systems (IPS) and indoor
location-based services (ILBS) are reviewed to establish the current state-of-the-art for IPS …

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 …

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 developing in technology and services. A recent
development in this area is remote monitoring of patients which has many advantages in a …

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 …

SisFall: A fall and movement dataset

A Sucerquia, JD López, JF Vargas-Bonilla - Sensors, 2017 - mdpi.com
Research on fall and movement detection with wearable devices has witnessed promising
growth. However, there are few publicly available datasets, all recorded with smartphones …

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 …

Home camera-based fall detection system for the elderly

K De Miguel, A Brunete, M Hernando, E Gambao - Sensors, 2017 - mdpi.com
Falls are the leading cause of injury and death in elderly individuals. Unfortunately, fall
detectors are typically based on wearable devices, and the elderly often forget to wear them …

[HTML][HTML] AI based elderly fall prediction system using wearable sensors: A smart home-care technology with IOT

P Kulurkar, C kumar Dixit, VC Bharathi… - Measurement …, 2023 - Elsevier
Impairment and a substantial decline in the mobility, independence, and quality of life of an
elderly person. In this regard, the current work suggests a novel IoT-based system that …