Articles with "fall detection" as a keyword



A novel Internet of Things based fall detection system in smart home

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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

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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
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Elderly fall detection based on multi-stream deep convolutional networks

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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

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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

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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
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Sensor-based fall detection systems: a review

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Published in 2021 at "Journal of Ambient Intelligence and Humanized Computing"

DOI: 10.1007/s12652-021-03248-z

Abstract: Accidental fallĀ 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

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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

Fall recognition using a three stream spatio temporal GCN model with adaptive feature aggregation

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Published in 2025 at "Scientific Reports"

DOI: 10.1038/s41598-025-95508-7

Abstract: The prevention of falls is paramount in modern healthcare, particularly for the elderly, as falls can lead to severe injuries or even fatalities. Additionally, the growing incidence of falls among the elderly, coupled with the… read more here.

Keywords: system; fall; gcn; stream spatio ... See more keywords

Threshold-based fall detection using a hybrid of tri-axial accelerometer and gyroscope.

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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
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Fall detection smart-shoe enabled with wireless IoT device

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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

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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