Results 11 to 20 of about 281,919 (258)

Utilising LiDAR for fall detection [PDF]

open access: yesHealthcare Technology Letters, 2021
Autonomous driving generates several low‐cost technologies, such as light detection and ranging (LiDAR). Due to this, the LiDAR technology has experienced impressive performance improvements. Our ambition is to capitalise on this development, where LiDAR
Nikolai Frøvik   +2 more
doaj   +4 more sources

REMOTE HEALTH MONITORING: FALL DETECTION [PDF]

open access: yesBiomedicinskaâ Inženeriâ i Èlektronika, 2020
Падіння – це серйозне питання охорони здоров'я серед літнього населення. Це може призвести до критичних травм, як переломи стегна. Іммобілізація, спричинена травмою чи несвідомістю, означає, що потерпілий не може викликати собі допомогу.
Abdulhamid Mohanad, Peter Deng
doaj   +2 more sources

Fall Detection

open access: yesInternational Research Journal of Computer Science, 2023
Researchers from all across the world are interested in human fall detection and activity recognition. Fall detection is an exciting topic that may be tackled in several ways. Several alternatives have been suggested in recent years. These applications determine whether a person is walking, squatting, or falling, among other activities.
Challa Sahithi   +3 more
openaire   +1 more source

Skeleton-Based Fall Detection with Multiple Inertial Sensors Using Spatial-Temporal Graph Convolutional Networks

open access: yesSensors, 2023
The application of wearable devices for fall detection has been the focus of much research over the past few years. One of the most common problems in established fall detection systems is the large number of false positives in the recognition schemes ...
Jianjun Yan   +3 more
doaj   +1 more source

Fall Detection with Wearable Sensors--Safe (Smart Fall Detection) [PDF]

open access: yes2011 Seventh International Conference on Intelligent Environments, 2011
The high rate of falls incidence among the elderly calls for the development of reliable and robust fall detection systems. A number of such systems have been proposed, with claims of fall detection accuracy of over 90% based on accelerometers and gyroscopes.
Olukunle Ojetola   +2 more
openaire   +2 more sources

Automatic Detection of Falls and Fainting [PDF]

open access: yesJ. Univers. Comput. Sci., 2013
Los entornos sanitarios siempre se han considerado un escenario importante en el que aplicar nuevas tecnologías para mejorar las condiciones de los residentes y los empleados, resolver problemas y facilitar la realización de tareas. De esta forma, el uso de sensores basados en la interacción con el movimiento del usuario permite resolver situaciones ...
Juan Enrique Garrido   +3 more
openaire   +4 more sources

Millimeter-Wave Radar-Based Elderly Fall Detection Fed by One-Dimensional Point Cloud and Doppler

open access: yesIEEE Access, 2023
This paper presents an elderly fall detection technique fed by one-dimensional (1-D) point cloud and doppler velocity. In the proposed technique, the long short-term memory (LSTM) network is created and then employed as an intelligent classifier of fall ...
Chainarong Kittiyanpunya   +3 more
doaj   +1 more source

Advances in Skeleton-Based Fall Detection in RGB Videos: From Handcrafted to Deep Learning Approaches

open access: yesIEEE Access, 2023
In the elderly population, falls are one of the leading causes of fatal and non-fatal injuries. Fall detection and early alarms play an important role in mitigating the negative effects of falls, especially given the growing proportion of the elderly ...
Van-Ha Hoang   +3 more
doaj   +1 more source

Vision-Based Fall Detection With Multi-Task Hourglass Convolutional Auto-Encoder

open access: yesIEEE Access, 2020
Fall detection is a hot research issue in intelligent video surveillance. Falls can generate physical and psychological damage, especially for the elderly.
Xi Cai, Suyuan Li, Xinyue Liu, Guang Han
doaj   +1 more source

Falls detection and assessment

open access: yesProceedings of the 8th International Conference on Management of Digital EcoSystems, 2016
The paper has the objective to define a fall detection methodology using the sensors available on smartphone. Furthermore, the paper proposes a platform that support the remote fall detection methodology modeling the emergency management by using a collaborative approach. The advantage of the proposed platform is that the fall detection doesn't need of
Biancone N.   +3 more
openaire   +3 more sources

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