Pre-impact fall detection

X Hu, X Qu - Biomedical engineering online, 2016 - Springer
Pre-impact fall detection has been proposed to be an effective fall prevention strategy. In
particular, it can help activate on-demand fall injury prevention systems (eg inflatable hip …

Device-free radio vision for assisted living: Leveraging wireless channel quality information for human sensing

S Savazzi, S Sigg, M Nicoli, V Rampa… - IEEE Signal …, 2016 - ieeexplore.ieee.org
Wireless propagation is conventionally considered as the enabling tool for transporting
information in digital communications. However, recent research has shown that the …

Device-free RF human body fall detection and localization in industrial workplaces

S Kianoush, S Savazzi, F Vicentini… - IEEE Internet of …, 2016 - ieeexplore.ieee.org
Fall detection and localization of human operators inside a workspace are major issues in
ensuring a safe working environment. Recent research has shown that the perturbations of …

Supervised machine learning scheme for electromyography-based pre-fall detection system

G Rescio, A Leone, P Siciliano - Expert Systems with Applications, 2018 - Elsevier
Falls are the leading cause of disability and death among the elderly. Over the years,
several inertial-based wearable devices for automatic fall and pre-fall detection have been …

A three-stage low-complexity human fall detection method using IR-UWB radar

M Chen, Z Yang, J Lai, P Chu, J Lin - IEEE Sensors Journal, 2022 - ieeexplore.ieee.org
This paper proposes a novel three-stage low-complexity human fall detection method using
an impulse radio ultra-wideband (IR-UWB) radar. The core idea lies in the three cascaded …

Application of hidden Markov models to eye tracking data analysis of visual quality inspection operations

BH Ulutas, NF Özkan, R Michalski - Central European Journal of …, 2020 - Springer
Visual inspection is used in many areas due to the potential high costs of inspection error
such as injury, fatality, loss of expensive equipment, scrapped items, rework, or failure to …

Pre-impact fall detection using 3D convolutional neural network

S Li, H **ong, X Diao - 2019 IEEE 16th International …, 2019 - ieeexplore.ieee.org
Early fall detection is an important issue during gait rehabilitation training. This paper
proposes an approach for pre-impact fall detection during gait rehabilitation training based …

[HTML][HTML] Enhanced classification of human fall and sit motions using ultra-wideband radar and hidden markov models

T Pardhu, V Kumar, A Kanavos, VC Gerogiannis… - Mathematics, 2024 - mdpi.com
In this study, we address the challenge of accurately classifying human movements in
complex environments using sensor data. We analyze both video and radar data to tackle …

Fall detection for the elderly based on 3-axis accelerometer and depth sensor fusion with random forest classifier

K Kim, G Yun, SK Park, DH Kim - 2019 41st Annual …, 2019 - ieeexplore.ieee.org
In this paper, we propose a new fall detection method that combines 3-axis accelerometer
and depth sensors. By combining vision and acceleration-derived features we managed to …

A non-stationary channel model for the development of non-wearable radio fall detection systems

A Borhani, M Pätzold - IEEE Transactions on Wireless …, 2018 - ieeexplore.ieee.org
The emerging non-wearable fall detection systems rely on processing radio waves reflected
off the body of the home user who has no active interaction with the system, increasing the …