IEEE transactions on pattern analysis and machine intelligence
Dec 8, 2017
We present an algorithm for simultaneous face detection, landmarks localization, pose estimation and gender recognition using deep convolutional neural networks (CNN). The proposed method called, HyperFace, fuses the intermediate layers of a deep CNN...
OBJECTIVES: Various exercise strategies have been suggested to address movement deficits in order to improve motor function and quality of life for individuals in the early or moderate stages of Parkinson disease. The purpose is to evaluate the effec...
Nutrition, metabolism, and cardiovascular diseases : NMCD
Dec 7, 2017
BACKGROUND AND AIMS: Evidence indicates that Vitamin D deficiency may be associated with increased risk of cardiovascular disease, although findings on risk of heart failure (HF) are controversial. We investigated the relationship between serum Vitam...
Zeitschrift fur Gerontologie und Geriatrie
Dec 7, 2017
BACKGROUND: It has been questioned by researchers in robotics as well in the general public to what extent companion-type robots can support the elderly with the fulfillment of their psychological and social needs. Although these robots have already ...
Although regional brain deficits have been demonstrated in schizophrenia patients by structural MRI studies, one important question that remains largely unanswered is whether the complex and subtle deficits revealed by MRI could be used as objective ...
Not just detecting but also predicting impairment of a car driver's operational state is a challenge. This study aims to determine whether the standard sources of information used to detect drowsiness can also be used to predict when a given drowsine...
Computer methods and programs in biomedicine
Dec 6, 2017
BACKGROUND AND OBJECTIVES: Schizophrenia is a severe brain disorder primarily diagnosed through externally observed behavioural symptoms due to the dearth of established clinical tests. Functional magnetic resonance imaging (fMRI) can capture the dis...
Modern multivariate methods have enabled the application of unsupervised techniques to analyze neurophysiological data without strict adherence to predefined experimental conditions. We demonstrate a multivariate method that leverages priming effects...
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