Development of a Wearable-Sensor-Based Fall Detection System
Fall detection is a major challenge in the public healthcare domain, especially for the elderly as the decline of their physical fitness, and timely and reliable surveillance is necessary to mitigate the negative effects of falls. This paper develops a novel fall detection system based on a wearable...
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Hindawi Publishing Corporation
2015
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Online Access: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4346101/ |
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pubmed-43461012015-03-17 Development of a Wearable-Sensor-Based Fall Detection System Wu, Falin Zhao, Hengyang Zhao, Yan Zhong, Haibo Research Article Fall detection is a major challenge in the public healthcare domain, especially for the elderly as the decline of their physical fitness, and timely and reliable surveillance is necessary to mitigate the negative effects of falls. This paper develops a novel fall detection system based on a wearable device. The system monitors the movements of human body, recognizes a fall from normal daily activities by an effective quaternion algorithm, and automatically sends request for help to the caregivers with the patient's location. Hindawi Publishing Corporation 2015 2015-02-16 /pmc/articles/PMC4346101/ /pubmed/25784933 http://dx.doi.org/10.1155/2015/576364 Text en Copyright © 2015 Falin Wu et al. https://creativecommons.org/licenses/by/3.0/ This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. |
repository_type |
Open Access Journal |
institution_category |
Foreign Institution |
institution |
US National Center for Biotechnology Information |
building |
NCBI PubMed |
collection |
Online Access |
language |
English |
format |
Online |
author |
Wu, Falin Zhao, Hengyang Zhao, Yan Zhong, Haibo |
spellingShingle |
Wu, Falin Zhao, Hengyang Zhao, Yan Zhong, Haibo Development of a Wearable-Sensor-Based Fall Detection System |
author_facet |
Wu, Falin Zhao, Hengyang Zhao, Yan Zhong, Haibo |
author_sort |
Wu, Falin |
title |
Development of a Wearable-Sensor-Based Fall Detection System |
title_short |
Development of a Wearable-Sensor-Based Fall Detection System |
title_full |
Development of a Wearable-Sensor-Based Fall Detection System |
title_fullStr |
Development of a Wearable-Sensor-Based Fall Detection System |
title_full_unstemmed |
Development of a Wearable-Sensor-Based Fall Detection System |
title_sort |
development of a wearable-sensor-based fall detection system |
description |
Fall detection is a major challenge in the public healthcare domain, especially for the elderly as the decline of their physical fitness, and timely and reliable surveillance is necessary to mitigate the negative effects of falls. This paper develops a novel fall detection system based on a wearable device. The system monitors the movements of human body, recognizes a fall from normal daily activities by an effective quaternion algorithm, and automatically sends request for help to the caregivers with the patient's location. |
publisher |
Hindawi Publishing Corporation |
publishDate |
2015 |
url |
https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4346101/ |
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1613194197240643584 |