Results 41 to 50 of about 1,144,100 (291)
Vision-Based Fall Detection Using ST-GCN
IEEE Access, 2021 Falls are a growing issue in society and has become a hot topic in the healthcare domain. Falls are more likely to occur to due to age or health problems such as cardiovascular issues and muscle weakness. In this work we focus on fall detection.
Oussema Keskes, Rita Noumeir
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Applied Sciences, 2022 In an aging global society, a few complex problems have been occurring due to falls among the increasing elderly population. Therefore, falls are detected using a pendant-type sensor that can be worn comfortably for fall detection.
Seung Su Jeong, Nam Ho Kim, Yun Seop Yu
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A novel monitoring system for fall detection in older people [PDF]
, 2018 Indexación: Scopus.This work was supported in part by CORFO - CENS 16CTTS-66390 through the National Center on Health Information Systems, in part by the National Commission for Scientific and Technological Research (CONICYT) through the Program STIC ...
De Albuquerque, V.H.C. +7 more
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Fall Detection Based on Dual-Channel Feature Integration
IEEE Access, 2020 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.
Bo-Hua Wang +4 more
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137CS gamma-ray detection at Summit, Greenland [PDF]
, 1994 Global fall-out from atmospheric testing of thermonuclear weapons produced horizon markers corresponding to the initiation of testing in 1953 and the maximum fall-out in 1963.
Dibb, Jack E., Dunphy, P. P.
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Effects of hemodialysis therapy on sit-to-walk characteristics in end stage renal disease patients [PDF]
, 2012 Patients with end stage renal diseases (ESRD) undergoing hemodialysis (HD) have high morbidity and mortality due to multiple causes; one of which is dramatically higher fall rates than the general population.
Abdel-Rahman, Emaad +3 more
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Event-Centered Data Segmentation in Accelerometer-Based Fall Detection Algorithms
Sensors, 2021 Automatic fall detection systems ensure that elderly people get prompt assistance after experiencing a fall. Fall detection systems based on accelerometer measurements are widely used because of their portability and low cost.
Goran Šeketa +4 more
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A Lightweight Human Fall Detection Network
Sensors, 2023 The rising issue of an aging population has intensified the focus on the health concerns of the elderly. Among these concerns, falls have emerged as a predominant health threat for this demographic. The YOLOv5 family represents the forefront of techniques for human fall detection. However, this algorithm, although advanced, grapples with issues such as
Xi Kan +3 more
openaire +3 more sources
Frontiers in Public Health, 2021 Background: Falls are a significant incident among older adults affecting one in every three individuals aged 65 and over. Fall risk increases with age and other factors, namely instability.
Kawthar Abdul Rahman +6 more
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Implementation of a Modular Growing When Required Neural Gas Architecture for Recognition of Falls [PDF]
, 2016 In this paper we aim for the replication of a state of the art architecture for recognition of human actions using skeleton poses obtained from a depth sensor.
Belmonte Klein, F +2 more
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