Benefits of locating overt visual attention in space using binocular eye tracking for mixed reality applications [PDF]
Pfeiffer T, Mattar N. Benefits of locating overt visual attention in space using binocular eye tracking for mixed reality applications. In: Workshop-Proceedings der Tagung Mensch & Computer 2009: Grenzenlos frei!?.
Mattar, Nikita +1 more
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Eye-Tracking in Interactive Virtual Environments: Implementation and Evaluation
Not all eye-tracking methodology and data processing are equal. While the use of eye-tracking is intricate because of its grounding in visual physiology, traditional 2D eye-tracking methods are supported by software, tools, and reference studies. This is
Pavel Ugwitz +4 more
doaj +1 more source
ABSTRACT Objectives We aimed to determine the frequency of subclinical optic nerve (ON) lesions using MRI, optical coherence tomography (OCT), and visual evoked potentials (VEP) in radiologically isolated syndrome (RIS), and to assess their diagnostic and prognostic significance.
Christine Lebrun‐Frenay +13 more
wiley +1 more source
Altered pupil light and darkness reflex and eye-blink responses in late-life depression
Background Late-life depression (LLD) is a prevalent neuropsychiatric disorder in the older population. While LLD exhibits high mortality rates, depressive symptoms in older adults are often masked by physical health conditions.
Yao-Tung Lee +7 more
doaj +1 more source
Eye tracking as feedback tool in physics teacher education
The ability to direct pupils’ attention to relevant information during the experimental process is relevant for all science teachers. The aim of this article is to investigate the effects of training the ability of prospective physics teachers to direct ...
Matthias Schweinberger +2 more
doaj +1 more source
Dataset for eye-tracking tasks
In recent years many different deep neural networks were developed, but due to a large number of layers in deep networks, their training requires a long time and a large number of datasets. Today is popular to use trained deep neural networks for various tasks, even for simple ones in which such deep networks are not required.
openaire +2 more sources
Digital Cognitive Phenotyping for Differential Diagnosis and Monitoring in Neurological Conditions
ABSTRACT Objective To assess the utility, accessibility, and equivalence to supervised scales of online cognitive assessment in older individuals with cognitive impairment. Methods Patients with Alzheimer's disease (AD, n = 31), idiopathic normal pressure hydrocephalus (iNPH, n = 26), and traumatic brain injury (TBI, n = 23) completed online cognitive ...
Martina Del Giovane +10 more
wiley +1 more source
Using a contingent heuristic approach and eye gaze tracking for the usability evaluation of web sites [PDF]
This thesis describes a research study in the field of Human-Computer Interaction (HCI), specifically usability evaluation. The research investigated ways to optimise the usability of Web sites. It specifically compared Flash and HTML versions of several
Piyasirivej, Pilun
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Deep Learning Pose Estimation for Phenotyping of Co‐Occurring Hyperkinetic Movement Disorders
ABSTRACT Objective To explore whether routine outpatient video combined with deep learning‐based pose estimation and clinically interpretable kinematic features can support multi‐label phenotyping of co‐occurring hyperkinetic movement disorders (HMDs).
Laura Cif +17 more
wiley +1 more source
Validation of a Fast and Accurate Magnetic Tracker Operating in the Environmental Field
We characterize the performance of a system based on a magnetoresistor array. This instrument is developed to map the magnetic field, and to track a dipolar magnetic source in the presence of a static homogeneous field.
Valerio Biancalana +6 more
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