Results 121 to 130 of about 2,691 (178)

A multidimensional eye-tracking assessment for estimating cognitive profiles in intellectual disability: A preliminary deep learning study. [PDF]

Digit Health
Park KB, Yang JW, Kim S, Sim D, Jeong DH.   +4 more
europepmc   +1 more source

AMuCS: Affective multimodal Counter-Strike video game dataset. [PDF]

Sci Data
Fanourakis M, Chanel G.
europepmc   +1 more source

The integration of virtual reality and EEG: A step-by-step guideline. [PDF]

MethodsX
Krampe C, Wolfers J, Dean P.
europepmc   +1 more source

Asymmetries in Foveal Vision. [PDF]

J Neurosci
Jenks SK, Carrasco M, Poletti M.
europepmc   +1 more source

Oculomotor abnormalities in patients with cerebellar ataxia, neuropathy, vestibular areflexia syndrome (CANVAS) reflect midline cerebellar impairment. [PDF]

J Neurol
Storm R, Lübbers B, Borsche M, Weiss E, Nümann A, Ganos C, Brüggemann N, Helmchen C, Sprenger A.   +8 more
europepmc   +1 more source

Attentional guidance through object associations in visual cortex

Lerebourg M, de Lange FP, Peelen MV.
europepmc   +1 more source

Representation of conceptual affordances in eye movements and the entorhinal cortex

Eperon A, Doeller CF, Theves S, Bottini R.   +3 more
europepmc   +1 more source

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Accurate three-dimensional eyetracker

Applied Optics, 1978
A combined optometer and eyetracking instrument has been developed to measure both the dynamic refractive power and the direction of gaze of the same eye. In effect, this instrument measures, as a function of time, the point in 3-D space on which the eye is fixated. Nothing is attached to the subject (patient), who is easily aligned in the device.
H D, Crane, C M, Steele
openaire   +2 more sources

Subspace eyetracking for driver warning

Proceedings 2003 International Conference on Image Processing (Cat. No.03CH37429), 2004
Driver's fatigue/distraction is one of the most common causes of traffic accidents. The aim of this paper is to develop a real time system to detect anomalous situations while driving. In a learning stage, the user will sit in front of the camera and the system will learn a person-specific facial appearance model (PSFAM) in an automatic manner.
Fernando De la Torre, Carlos Javier Garcia Rubio, Elisa Martínez   +2 more
openaire   +1 more source