Wearable inertial sensors for human movement analysis: a five-year update
Introduction The aim of the present review is to track the evolution of wearable IMUs from
their use in supervised laboratory-and ambulatory-based settings to their application for long …
their use in supervised laboratory-and ambulatory-based settings to their application for long …
[HTML][HTML] Towards effective detection of elderly falls with CNN-LSTM neural networks
Fall detection is a very challenging task that has a clear impact in the autonomous living of
the elderly individuals: suffering a fall with no support increases the fears of the elderly …
the elderly individuals: suffering a fall with no support increases the fears of the elderly …
Future frame prediction network for human fall detection in surveillance videos
S Li, X Song - IEEE Sensors Journal, 2023 - ieeexplore.ieee.org
Video fall detection is one of the most significant challenges in computer vision domain, and
it usually involves the recognition of events that do not conform to expected falls. Recently, a …
it usually involves the recognition of events that do not conform to expected falls. Recently, a …
Wrist-based fall detection: towards generalization across datasets
V Fula, P Moreno - Sensors, 2024 - mdpi.com
Increasing age is related to a decrease in independence of movement and with this
decrease comes falls, millions of falls occur every year and the most affected people are the …
decrease comes falls, millions of falls occur every year and the most affected people are the …
Wearables and detection of falls: a comparison of machine learning methods and sensors positioning
Wearable sensors have many applications to provide assistance for older adults. We aimed
to identify the best combination of machine learning algorithms and body regions to attach …
to identify the best combination of machine learning algorithms and body regions to attach …
Low-Cost LIDAR-Based Monitoring System for Fall Detection
Every year, over 30% of individuals aged 65 and above experience fall, leading to potential
physical and psychological harm. This is particularly concerning for those who live …
physical and psychological harm. This is particularly concerning for those who live …
[PDF][PDF] Dense Spatial-Temporal Graph Convolutional Network Based on Lightweight OpenPose for Detecting Falls.
X Zhang, Q Xie, W Sun, Y Ren… - Computers, Materials & …, 2023 - cdn.techscience.cn
Fall behavior is closely related to high mortality in the elderly, so fall detection becomes an
important and urgent research area. However, the existing fall detection methods are difficult …
important and urgent research area. However, the existing fall detection methods are difficult …
New method for evaluating artificial neural network algorithm with signal detection theory and full factorial design for detecting falls.
U Khawnuan, T Sittiwanchai… - Engineering & Applied …, 2023 - search.ebscohost.com
Fall is one of the most critical accidents resulting in serious injuries and significant financial
losses among people in all ages. This paper presents the application of full factorial design …
losses among people in all ages. This paper presents the application of full factorial design …
Enhancing Fall Detection Accuracy: The Ground-Face Coordinate System for 3D Accelerometer Data
AT Sözer - Sakarya University Journal of Computer and …, 2024 - saucis.sakarya.edu.tr
The global elderly population is on the rise, leading to increased physical, sensory, and
cognitive changes that heighten the risk of falls. Consequently, fall detection (FD) has …
cognitive changes that heighten the risk of falls. Consequently, fall detection (FD) has …
Détection d'activités humaines par l'utilisation du CSI
L Pourcel - 2023 - publications.polymtl.ca
La technologie Wireless Fidelity (Wi-Fi) a été développée à la fin des années 1990 et peut
être considérée comme arrivée pleinement à maturité. L'une des preuves de cette maturité …
être considérée comme arrivée pleinement à maturité. L'une des preuves de cette maturité …