Fall detection based on dual-channel feature integration
BH Wang, J Yu, K Wang, XY Bao, KM Mao - IEEE Access, 2020 - ieeexplore.ieee.org
Falls have caught great harm to the elderly living alone at home. This paper presents a
novel visual-based fall detection approach by Dual-Channel Feature Integration. The …
novel visual-based fall detection approach by Dual-Channel Feature Integration. The …
An integrated vision-based approach for efficient human fall detection in a home environment
Falls are an important healthcare problem for vulnerable persons like seniors. Response to
potential emergencies can be fastened timely detection and classification of falls. This paper …
potential emergencies can be fastened timely detection and classification of falls. This paper …
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 …
A new approach to fall detection based on the human torso motion model
L Yao, W Min, K Lu - Applied Sciences, 2017 - mdpi.com
Featured Application In our proposed method, a new feature named torso angle is firstly
proposed and imported in the human torso motion model (HTMM) for fall detection. By …
proposed and imported in the human torso motion model (HTMM) for fall detection. By …
A two-stream approach to fall detection with MobileVGG
Q Han, H Zhao, W Min, H Cui, X Zhou, K Zuo… - IEEE Access, 2020 - ieeexplore.ieee.org
The existing deep learning methods for human fall detection have difficulties to distinguish
falls from similar daily activities such as lying down because of not using the 3D network …
falls from similar daily activities such as lying down because of not using the 3D network …
A pose estimation-based fall detection methodology using artificial intelligence edge computing
WJ Chang, CH Hsu, LB Chen - IEEE Access, 2021 - ieeexplore.ieee.org
As the population worldwide continues to age and the percentage of elderly people
continues to increase, falls have been become the second leading cause of death from …
continues to increase, falls have been become the second leading cause of death from …
Robust pose-based human fall detection using recurrent neural network
Detecting falling event from the video for providing timely assistance to the fallen person is a
challenging problem in computer vision due to the absence of large-scale fall dataset and …
challenging problem in computer vision due to the absence of large-scale fall dataset and …
A novel real-time fall detection method based on head segmentation and convolutional neural network
C Yao, J Hu, W Min, Z Deng, S Zou, W Min - Journal of Real-Time Image …, 2020 - Springer
As the computer vision develops, real-time fall detection based on computer vision has
become increasingly popular in recent years. In this paper, a novel real-time indoor fall …
become increasingly popular in recent years. In this paper, a novel real-time indoor fall …
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 …
SisFall: A fall and movement dataset
Research on fall and movement detection with wearable devices has witnessed promising
growth. However, there are few publicly available datasets, all recorded with smartphones …
growth. However, there are few publicly available datasets, all recorded with smartphones …