Results 71 to 80 of about 1,144,100 (291)
Assessing the impact of affective feedback on end-user security awareness [PDF]
, 2017 A lack of awareness regarding online security behaviour can leave users and their devices vulnerable to compromise. This paper highlights potential areas where users may fall victim to online attacks, and reviews existing tools developed to raise users ...
Archibald, Jacqueline +2 more
core +2 more sources
Bi-Modal Multiperspective Percussive (BiMP) Dataset for Visual and Audio Human Fall Detection
IEEE AccessFalls are the leading cause of injuries and fatalities among older individuals propagating concerns for health and safety. Mitigating these concerns requires timely intervention and response to minimize health complications.
Joe Dibble, Michael C. F. Bazzocchi
doaj +1 more source
A Wavelet-Based Approach to Fall Detection [PDF]
Sensors, 2015 Falls among older people are a widely documented public health problem. Automatic fall detection has recently gained huge importance because it could allow for the immediate communication of falls to medical assistance. The aim of this work is to present a novel wavelet-based approach to fall detection, focusing on the impact phase and using a dataset ...
PALMERINI, LUCA +5 more
openaire +5 more sources
Calpain small subunit homodimerization is robust and calcium‐independent
FEBS Letters, EarlyView.Calpains dimerize via penta‐EF‐hand (PEF) domains. Using single‐molecule force spectroscopy, we measured the strength and kinetics of PEF–PEF homodimer binding. The interaction is robust, shows a transient conformational step before dissociation, and remains largely insensitive to Ca2+.
Nesha May O. Andoy +4 more
wiley +1 more source
Evaluation of a Fall Alerting System based on a Convolutional Deep Neural Network [PDF]
, 2019 Artículo sobre detección de caídas con redes neuronales profundasOwing to the effects of falls on quality of life of the elderly, automatic fall detection systems (FDS) have become a key research topic in the ambit of telecare.
Casilari-Pérez, Eduardo +2 more
core
, 2014 We present here a detailed study of the influence of the transverse motion of the atoms in a free-fall gravimeter. By implementing Raman selection in the horizontal directions at the beginning of the atoms free fall, we characterize the effective ...
Cheng, Bing +5 more
core +3 more sources
Wearable Fall Detector Using Recurrent Neural Networks [PDF]
, 2019 Falls have become a relevant public health issue due to their high prevalence and negative effects in elderly people. Wearable fall detector devices allow the implementation of continuous and ubiquitous monitoring systems.
Civit Balcells, Antón +2 more
core +1 more source
Modeling hepatic fibrosis in TP53 knockout iPSC‐derived human liver organoids
Molecular Oncology, EarlyView.This study developed iPSC‐derived human liver organoids with TP53 gene knockout to model human liver fibrosis. These organoids showed elevated myofibroblast activation, early disease markers, and advanced fibrotic hallmarks. The use of profibrotic differentiation medium further amplified the fibrotic signature seen in the organoids.
Mustafa Karabicici +8 more
wiley +1 more source
Study of one class boundary method classifiers for application in a video-based fall detection system [PDF]
, 2012 In this paper, we introduce a video-based robust fall detection system for monitoring an elderly person in a smart room environment. Video features, namely the centroid and orientation of a voxel person, are extracted.
A. Rhuma +13 more
core +1 more source
Falling motion detection algorithm based on deep learning
IET Image Processing, 2022 Falling is a significant cause of injuries and even death in the elderly. The timely detection of the fall action helps to rescue people who may have physical health problems due to the fall, so fall detection is necessary. The traditional fall detection
Na Zhu +3 more
doaj +1 more source