Detecting elderly behaviors based on deep learning for healthcare: Recent advances, methods, real-world applications and challenges
Machine learning has been applied in healthcare domain for the development of smart
devices to improve the life of the elderly persons in the society. Taking care of elderly person …
devices to improve the life of the elderly persons in the society. Taking care of elderly person …
A deep learning-based high-temperature overtime working alert system for smart cities with multi-sensor data
L Wang, Z Chen, H Zou, D Huang, Y Pan… - Nondestructive …, 2024 - Taylor & Francis
Prolonged heat exposure may cause various physiological responses to outdoor workers.
This will result in economic and productivity losses for a company and also may affect the …
This will result in economic and productivity losses for a company and also may affect the …
Fall detection with wearable sensors: A hierarchical attention-based convolutional neural network approach
Falls are among the most life-threatening events that challenge senior citizens' independent
living. Wearable sensor technologies have emerged as a viable solution for fall detection …
living. Wearable sensor technologies have emerged as a viable solution for fall detection …
Progressive cross-modal knowledge distillation for human action recognition
Wearable sensor-based Human Action Recognition (HAR) has achieved remarkable
success recently. However, the accuracy performance of wearable sensor-based HAR is still …
success recently. However, the accuracy performance of wearable sensor-based HAR is still …
A hybrid deep learning and visualization framework for pushing behavior detection in pedestrian dynamics
Crowded event entrances could threaten the comfort and safety of pedestrians, especially
when some pedestrians push others or use gaps in crowds to gain faster access to an event …
when some pedestrians push others or use gaps in crowds to gain faster access to an event …
A comprehensive study on the use of artificial neural networks in wearable fall detection systems
E Casilari-Pérez, F García-Lagos - Expert Systems with Applications, 2019 - Elsevier
As a result of the challenge posed by demographic aging and the important personal and
medical costs associated to falls of elderly people, the study of automatic Fall Detection …
medical costs associated to falls of elderly people, the study of automatic Fall Detection …
[HTML][HTML] Application of ensemble RNN deep neural network to the fall detection through IoT environment
M Farsi - Alexandria Engineering Journal, 2021 - Elsevier
The emerging of new models in machine learning enhances the performance of algorithms
proposed to address several challenging tasks such as object recognition, classification and …
proposed to address several challenging tasks such as object recognition, classification and …
Elderly fall detection with an accelerometer using lightweight neural networks
Falls have been one of the main threats to people's health, especially for the elderly.
Detecting falls in time can prevent the long lying time, which is extremely fatal. This paper …
Detecting falls in time can prevent the long lying time, which is extremely fatal. This paper …
Support vector machine classifiers show high generalizability in automatic fall detection in older adults
J Alizadeh, M Bogdan, J Classen, C Fricke - Sensors, 2021 - mdpi.com
Falls are a major cause of morbidity and mortality in neurological disorders. Technical
means of detecting falls are of high interest as they enable rapid notification of caregivers …
means of detecting falls are of high interest as they enable rapid notification of caregivers …
A robust and automated vision-based human fall detection system using 3D multi-stream CNNs with an image fusion technique
T Alanazi, K Babutain, G Muhammad - Applied Sciences, 2023 - mdpi.com
Unintentional human falls, particularly in older adults, can result in severe injuries and
death, and negatively impact quality of life. The World Health Organization (WHO) states that …
death, and negatively impact quality of life. The World Health Organization (WHO) states that …