Vision-based human fall detection systems using deep learning: A review

E Alam, A Sufian, P Dutta, M Leo - Computers in biology and medicine, 2022 - Elsevier
Human fall is one of the very critical health issues, especially for elders and disabled people
living alone. The number of elder populations is increasing steadily worldwide. Therefore …

A review of vision-based indoor HAR: state-of-the-art, challenges, and future prospects

G Bhola, DK Vishwakarma - Multimedia Tools and Applications, 2024 - Springer
With the advent of technology, we are getting more comfortable with the use of gadgets,
cameras, etc., and find Artificial Intelligence as an integral part of most of the tasks we …

A survey on yogic posture recognition

AK Rajendran, SC Sethuraman - IEEE Access, 2023 - ieeexplore.ieee.org
Yoga has been a great form of physical activity and one of the promising applications in
personal health care. Several studies prove that yoga is used as one of the physical …

Multi-Stream Deep Convolution Neural Network With Ensemble Learning for Facial Micro-Expression Recognition

G Perveen, SF Ali, J Ahmad, S Shahab, M Adnan… - IEEE …, 2023 - ieeexplore.ieee.org
Micro-expression recognition has gained much attention in research communities. Among
its proposed solutions, deep learning approaches have shown promising results over the …

Exploiting the features of deep residual network with SVM classifier for human posture recognition

I Kareem, SF Ali, M Bilal, MS Hanif - PloS one, 2024 - journals.plos.org
Over the last decade, there have been a lot of advances in the area of human posture
recognition. Among multiple approaches proposed to solve this problem, those based on …

[HTML][HTML] Determining the onset of driver's preparatory action for take-over in automated driving using multimodal data

T Teshima, M Niitsuma, H Nishimura - Expert Systems with Applications, 2024 - Elsevier
Automated driving technology has the potential to substantially reduce traffic accidents, a
considerable portion of which are caused by human error. Nonetheless, until automated …

Driver drowsiness detection with region-of-interest selection based spatio-temporal deep convolutional-lstm

MS Basit, U Ahmad, J Ahmad, K Ijaz… - 2022 16th International …, 2022 - ieeexplore.ieee.org
Driver fatigue and drowsiness instigate road traffic accidents while driving throughout the
years. to reduce road traffic injuries and fatality cases, a real-time drowsiness detection …

Novel Human-Posture Recognition System Based on Advanced Graph Convolutional Network Using Skeletal Data

G Liu, R Xie, SH Fang, HC Wu… - IEEE Journal of Selected …, 2024 - ieeexplore.ieee.org
Automatic human-posture or human-activity recognition is a very important research
problem nowadays. In this work, we propose a novel human-posture recognition approach …

Visual-based Fall Detection Characterization Using YOLOv3 Algorithm

J Novelero, JD Cruz, AY Artus, C Zabala… - … & Economy (ICDATE …, 2023 - ieeexplore.ieee.org
Falls are considered the leading cause of injuries and hospitalizations, especially in elderly.
Rapid detection of falls and timely medical intervention can significantly reduce the risk of …

Vision Attentive Robot for Elderly Room

S Sudasinghe, IKS Sooriyabandara… - 2023 Moratuwa …, 2023 - ieeexplore.ieee.org
With people's busy schedules, elderly people have to stay alone in their houses in the
daytime. There are a large number of accidents have happened to elderly people when they …