Vision-based human fall detection systems using deep learning: A review
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 …
living alone. The number of elder populations is increasing steadily worldwide. Therefore …
ARFDNet: An efficient activity recognition & fall detection system using latent feature pooling
This paper presents an efficient activity recognition and fall detection system (ARFDNet).
Here, the raw RGB videos are passed to a pose estimation network to extract skeleton …
Here, the raw RGB videos are passed to a pose estimation network to extract skeleton …
A novel vision-based fall detection scheme using keypoints of human skeleton with long short-term memory network
AR Inturi, VM Manikandan, V Garrapally - Arabian Journal for Science and …, 2023 - Springer
Human activity recognition plays a prominent role in applications like sports, violence
detection, accident detection, women security, and smart homes by predicting abnormal …
detection, accident detection, women security, and smart homes by predicting abnormal …
A feature selection approach for fall detection using various machine learning classifiers
Falls are one of the most serious dangers for elderly people who live alone at home. It has
become a widespread issue all across the world. Reliable fall detection systems can help to …
become a widespread issue all across the world. Reliable fall detection systems can help to …
[HTML][HTML] High accuracy wifi-based human activity classification system with time-frequency diagram CNN method for different places
L Sharma, CH Chao, SL Wu, MC Li - Sensors, 2021 - mdpi.com
Older people are very likely to fall, which is a significant threat to the health. However, falls
are preventable and are not necessarily an inevitable part of aging. Many different fall …
are preventable and are not necessarily an inevitable part of aging. Many different fall …
Human fall detection and activity monitoring: a comparative analysis of vision-based methods for classification and detection techniques
Fall detection (FD) system tends to monitor the fall events with restricted movement patterns
and provides alerts to detect actions and corresponds to human falls. Based on high-level …
and provides alerts to detect actions and corresponds to human falls. Based on high-level …
[HTML][HTML] A lightweight subgraph-based deep learning approach for fall recognition
Z Zhao, L Zhang, H Shang - Sensors, 2022 - mdpi.com
Falls pose a great danger to social development, especially to the elderly population. When
a fall occurs, the body's center of gravity moves from a high position to a low position, and …
a fall occurs, the body's center of gravity moves from a high position to a low position, and …
Classification of fall directions via wearable motion sensors
Effective fall-detection and classification systems are vital in mitigating severe medical and
economical consequences of falls to people in the fall risk groups. One class of such …
economical consequences of falls to people in the fall risk groups. One class of such …
[HTML][HTML] Synergistic Integration of Skeletal Kinematic Features for Vision-Based Fall Detection
According to the World Health Organisation, falling is a major health problem with potentially
fatal implications. Each year, thousands of people die as a result of falls, with seniors making …
fatal implications. Each year, thousands of people die as a result of falls, with seniors making …
Fall detection using human skeleton features
Falls are one of the leading causes of death and serious injury in people, especially for the
elderly. In addition, falls accidents have a direct financial cost for health systems and …
elderly. In addition, falls accidents have a direct financial cost for health systems and …