Research of fall detection and fall prevention technologies: A systematic review

L Ren, Y Peng - IEEE Access, 2019 - ieeexplore.ieee.org
Falls are abnormal activity events that occur infrequently; however, they are serious health
problems among elderly individuals. With the advancements of technologies, falls have …

Latest research trends in gait analysis using wearable sensors and machine learning: A systematic review

A Saboor, T Kask, A Kuusik, MM Alam… - Ieee …, 2020 - ieeexplore.ieee.org
Gait is the locomotion attained through the movement of limbs and gait analysis examines
the patterns (normal/abnormal) depending on the gait cycle. It contributes to the …

[HTML][HTML] Fall detection based on key points of human-skeleton using openpose

W Chen, Z Jiang, H Guo, X Ni - Symmetry, 2020 - mdpi.com
According to statistics, falls are the primary cause of injury or death for the elderly over 65
years old. About 30% of the elderly over 65 years old fall every year. Along with the increase …

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 …

Sensor technologies for fall detection systems: A review

A Singh, SU Rehman, S Yongchareon… - IEEE Sensors …, 2020 - ieeexplore.ieee.org
The risk of falls in older adults restrict their social life and independent living. The assisted
living devices help older adults to live independently in their home, giving a psychological …

Fall detection monitoring systems: a comprehensive review

P Vallabh, R Malekian - Journal of Ambient Intelligence and Humanized …, 2018 - Springer
The increase in elderly population especially in the developed countries and the number of
elderly people living alone can result in increased healthcare costs which can cause a huge …

A novel vision-based fall detection scheme using keypoints of human skeleton with long short-term memory network

AR Inturi, VM Manikandan, V Garrapally - Arabian Journal for Science and …, 2023 - Springer
Human activity recognition plays a prominent role in applications like sports, violence
detection, accident detection, women security, and smart homes by predicting abnormal …

Intelligent carpet: Inferring 3d human pose from tactile signals

Y Luo, Y Li, M Foshey, W Shou… - Proceedings of the …, 2021 - openaccess.thecvf.com
Daily human activities, eg, locomotion, exercises, and resting, are heavily guided by the
tactile interactions between the human and the ground. In this work, leveraging such tactile …

mmfall: Fall detection using 4-d mmwave radar and a hybrid variational rnn autoencoder

F Jin, A Sengupta, S Cao - IEEE Transactions on Automation …, 2020 - ieeexplore.ieee.org
Elderly fall prevention and detection becomes extremely crucial with the fast aging
population globally. In this article, we propose mmFall, a novel fall detection system, which …

[HTML][HTML] REDECA: a novel framework to review artificial intelligence and its applications in occupational safety and health

M Pishgar, SF Issa, M Sietsema, P Pratap… - International journal of …, 2021 - mdpi.com
Introduction: The field of artificial intelligence (AI) is rapidly expanding, with many
applications seen routinely in health care, industry, and education, and increasingly in …