Multi-fault diagnosis of Industrial Rotating Machines using Data-driven approach: A review of two decades of research
Industry 4.0 is an era of smart manufacturing. Manufacturing is impossible without the use of
machinery. The majority of these machines comprise rotating components and are called …
machinery. The majority of these machines comprise rotating components and are called …
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 …
problems among elderly individuals. With the advancements of technologies, falls have …
[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 …
years old. About 30% of the elderly over 65 years old fall every year. Along with the increase …
Radar and RGB-depth sensors for fall detection: A review
This paper reviews recent works in the literature on the use of systems based on radar and
RGB-Depth (RGB-D) sensors for fall detection, and discusses outstanding research …
RGB-Depth (RGB-D) sensors for fall detection, and discusses outstanding research …
From fall detection to fall prevention: A generic classification of fall-related systems
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 …
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 …
living devices help older adults to live independently in their home, giving a psychological …
A vision-based approach for fall detection using multiple cameras and convolutional neural networks: A case study using the UP-Fall detection dataset
The automatic recognition of human falls is currently an important topic of research for the
computer vision and artificial intelligence communities. In image analysis, it is common to …
computer vision and artificial intelligence communities. In image analysis, it is common to …
Deep learning based systems developed for fall detection: a review
Accidental falls are a major source of loss of autonomy, deaths, and injuries among the
elderly. Accidental falls also have a remarkable impact on the costs of national health …
elderly. Accidental falls also have a remarkable impact on the costs of national health …
Rice transformer: A novel integrated management system for controlling rice diseases
Rice disease classification is vital during the cultivation of rice crops. However, rice diseases
were initially detected by visual examination from agricultural experts. Later the detection …
were initially detected by visual examination from agricultural experts. Later the detection …
[HTML][HTML] Opportunities and challenges for sweat-based monitoring of metabolic syndrome via wearable technologies
Metabolic syndrome is a prevalent condition in adults over the age of 65 and is a risk factor
for developing cardiovascular disease and type II diabetes. Thus, methods to track the …
for developing cardiovascular disease and type II diabetes. Thus, methods to track the …