Results 51 to 60 of about 2,395,063 (334)
eLife, 2017 Eye movements provide insights about a wide range of brain functions, from sensorimotor integration to cognition; hence, the measurement of eye movements is an important tool in neuroscience research. We describe a method, based on magnetic sensing, for measuring eye movements in head-fixed and freely moving mice.
Hannah L Payne, Jennifer L Raymond
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Thermographic eye tracking [PDF]
Proceedings of the Ninth Biennial ACM Symposium on Eye Tracking Research & Applications, 2016 Far infrared thermography, which can be used to detect thermal radiation emitted by humans, has been used to detect physical disease, physiological changes relating to emotion, and polygraph testing, but has not been used for eye tracking. However, because the surface temperature of the cornea is colder than the limbus, it is theoretically possible to ...
Beibin Li +7 more
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Magnetic resonance-based eye tracking using deep neural networks
Nature Neuroscience, 2021 Viewing behavior provides a window into many central aspects of human cognition and health, and it is an important variable of interest or confound in many functional magnetic resonance imaging (fMRI) studies.
Markus Frey +2 more
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Eye-tracking en masse: Group user studies, lab infrastructure, and practices
Journal of Eye Movement Research, 2018 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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Frontiers in Neuroergonomics, 2022 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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Emotion Recognition Using Eye-Tracking: Taxonomy, Review and Current Challenges
Italian National Conference on Sensors, 2020 The ability to detect users’ emotions for the purpose of emotion engineering is currently one of the main endeavors of machine learning in affective computing.
Jia Zheng Lim, J. Mountstephens, J. Teo
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Computer-aided autism diagnosis based on visual attention models using eye tracking
Scientific Reports, 2021 An advantage of using eye tracking for diagnosis is that it is non-invasive and can be performed in individuals with different functional levels and ages.
Jessica S. Oliveira +7 more
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Attention, Perception, & PsychophysicsAbstract 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 the MSR ...
Jousmäki Veikko, Saarinen Veli-Matti
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Eye tracking as feedback tool in physics teacher education
Frontiers in Education, 2023 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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JMIR Human Factors, 2021 Background The early diagnosis of autism spectrum disorder (ASD) is highly desirable but remains a challenging task, which requires a set of cognitive tests and hours of clinical examinations.
Federica Cilia +7 more
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