A novel Internet of Things based fall detection system in smart home
Sign Up to like & getrecommendations! Published in 2022 at "International Journal of Intelligent Systems"
DOI: 10.1002/int.23043
Abstract: In the field of motion monitoring in smart home, the 5G technology can be applied to Internet of Things systems for facilitating our daily life. In this paper, a comprehensive study on the fall detection… read more here.
Keywords: smart home; system; fall detection;
Human fall detection using slow feature analysis
Sign Up to like & getrecommendations! Published in 2018 at "Multimedia Tools and Applications"
DOI: 10.1007/s11042-018-5638-9
Abstract: Falls are reported to be the leading causes of accidental deaths among elderly people. Automatic detection of falls from video sequences is an assistant technology for low-cost health care systems. In this paper, we present… read more here.
Keywords: feature analysis; slow feature; feature; fall detection ... See more keywords
Elderly fall detection based on multi-stream deep convolutional networks
Sign Up to like & getrecommendations! Published in 2020 at "Multimedia Tools and Applications"
DOI: 10.1007/s11042-020-08812-x
Abstract: Fall is the biggest threat to seniors, with significant emotional, physical and financial implications. It is the major cause of serious injuries, disabilities, hospitalizations and even death especially for elderly people living alone. Timely detection… read more here.
Keywords: stream deep; detection; fall detection; deep convolutional ... See more keywords
Comprehensive evaluation of skeleton features-based fall detection from Microsoft Kinect v2
Sign Up to like & getrecommendations! Published in 2019 at "Signal, Image and Video Processing"
DOI: 10.1007/s11760-019-01490-9
Abstract: Most of the computer vision applications for human activity recognition exploit the fact that body features calculated from a 3D skeleton increase robustness across persons and can lead to higher performance. However, their success in… read more here.
Keywords: skeleton; skeleton features; features based; fall ... See more keywords
Fall detection monitoring systems: a comprehensive review
Sign Up to like & getrecommendations! Published in 2018 at "Journal of Ambient Intelligence and Humanized Computing"
DOI: 10.1007/s12652-017-0592-3
Abstract: The increase in elderly population especially in the developed countries and the number of elderly people living alone can result in increased healthcare costs which can cause a huge burden on the society. With fall… read more here.
Keywords: detection monitoring; detection; fall detection; monitoring systems ... See more keywords
Sensor-based fall detection systems: a review
Sign Up to like & getrecommendations! Published in 2021 at "Journal of Ambient Intelligence and Humanized Computing"
DOI: 10.1007/s12652-021-03248-z
Abstract: Accidental fall is one of the most prevalent causes of loss of autonomy, deaths and injuries among the elderly people. Fall detection and rescue systems with the advancement of technology help reduce the loss of lives… read more here.
Keywords: based fall; fall detection; sensor based; sensor ... See more keywords
Vision based human fall detection with Siamese convolutional neural networks
Sign Up to like & getrecommendations! Published in 2021 at "Journal of Ambient Intelligence and Humanized Computing"
DOI: 10.1007/s12652-021-03250-5
Abstract: Fall detection is drawing serious attention all across the globe, as unattended fall of senior citizens creates long lasting injuries. This necessitates the deployment of automatic fall detection systems to facilitate smart care health environments… read more here.
Keywords: video sequences; human fall; fall; fall detection ... See more keywords
Threshold-based fall detection using a hybrid of tri-axial accelerometer and gyroscope.
Sign Up to like & getrecommendations! Published in 2018 at "Physiological measurement"
DOI: 10.1088/1361-6579/aae0eb
Abstract: OBJECTIVE Falling is an important health maintenance issue for the elderly and people with movement disorders, strokes and multiple sclerosis. With the development of light, low-cost wearable technology, inertia-based fall detection has gained much attention.… read more here.
Keywords: detection; fall detection; threshold based; based fall ... See more keywords
Fall detection smart-shoe enabled with wireless IoT device
Sign Up to like & getrecommendations! Published in 2020 at "Circuit World"
DOI: 10.1108/cw-08-2018-0067
Abstract: Purpose Fall detection is a primary necessity for elderly people with medically tested nervous problems. This paper aims important to detect fall and prevent fatal injuries and untreated attention for long hours. Design/methodology/approach The project… read more here.
Keywords: detection; fall detection; fall; smart shoe ... See more keywords
TagCare: Using RFIDs to Monitor the Status of the Elderly Living Alone
Sign Up to like & getrecommendations! Published in 2017 at "IEEE Access"
DOI: 10.1109/access.2017.2716359
Abstract: Falling is one of the major health threats to the independent living of elders, and falling has received much attention in academia and industry over the past two decades. Previous fall detection methods either require… read more here.
Keywords: tagcare using; detection; fall detection; status elderly ... See more keywords
Fall Detection in Videos With Trajectory-Weighted Deep-Convolutional Rank-Pooling Descriptor
Sign Up to like & getrecommendations! Published in 2019 at "IEEE Access"
DOI: 10.1109/access.2018.2887144
Abstract: Automatic fall detection in videos could enable timely delivery of medical service to the injured elders who have fallen and live alone. Deep ConvNets have been used to detect fall actions. However, there still remain… read more here.
Keywords: rank pooling; trajectory weighted; fall detection;