Results 31 to 40 of about 101,940 (145)
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.
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Eye-tracking en masse: Group user studies, lab infrastructure, and practices
The costs of eye-tracking technologies steadily decrease. This allows research institutions to obtain multiple eye-tracking devices. Already, several multiple eye-tracker laboratories have been established.
Maria Bielikova +6 more
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The influence of eye model parameter variations on simulated eye-tracking outcomes
The simulated data used in eye-tracking-related research has been largely generated using normative eye models with little consideration of how the variations in eye biometry found in the population may influence eye-tracking outcomes.
Joshua Fischer +2 more
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This systematic literature review presents an update on developments in 3D visualization techniques and analysis tools for eye movement data in 3D environments.
Veronica Sundstedt, Valeria Garro
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Aim: To examine the feasibility of using large scale spatial, self-mobile, virtual reality, and eye tracking in older adults with and without Alzheimer's disease (AD).Methods: Older adults with early stage AD (n = 38) and a control group without AD (n ...
Rebecca Davis
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Eye tracking metrics provide information about cognitive function and basic oculomotor characteristics. There have been many studies analyzing eye tracking signals using different algorithms.
Murat Sükuti +2 more
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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
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Abstract Magnetoencephalography (MEG) can measure brain activity in ms-level temporal resolution. MEG sensors are super sensitive devices for magnetic signals of the brain but are also prone to electromagnetic interferences. The MEG device is located inside the magnetically shielded room (MSR), and any monitoring device used inside ...
Jousmäki Veikko, Saarinen Veli-Matti
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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
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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
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