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Smooth pursuit eye movements in children

Experimental Brain Research, 2005
Smooth pursuit eye movements consists of slow eye movements that approximate the velocity of the eyes to that of a small moving target, so that target image is kept at or near the fovea. Little information on smooth pursuit is available in children. We used an infrared eye tracker to record smooth pursuit in 38 typically developing children, aged 8-19 ...
Michael S, Salman   +4 more
openaire   +2 more sources

Real-time binocular smooth pursuit

International Journal of Computer Vision, 1993
This article examines the problem of a moving robot tracking a moving object with its cameras, without requiring the ability to recognize the target to distinguish it from distracting surroundings. A novel aspect of the approach taken is the use of controlled camera movements to simplify the visual processing necessary to keep the cameras locked on the
David Coombs, Christopher Brown
openaire   +1 more source

Towards 3D smooth pursuit interaction

Adjunct Proceedings of the 2019 ACM International Joint Conference on Pervasive and Ubiquitous Computing and Proceedings of the 2019 ACM International Symposium on Wearable Computers, 2019
In this position paper, we encourage the use of novel 3D gaze tracking possibilities in the field of gaze-based interaction. Smooth pursuit offers great benefits over other gaze interaction approaches, like the ability to work with uncalibrated eye trackers, but also has disadvantages like the produced visual clutter in more complex user interfaces. We
Marcel Breitenfellner   +2 more
openaire   +1 more source

Automatic Smoothing Spline Projection Pursuit

Journal of Computational and Graphical Statistics, 1994
Abstract A highly flexible nonparametric regression model for predicting a response y given covariates {xk}d k=1 is the projection pursuit regression (PPR) model ŷ = h(x) = β0 + Σjβjfj(αT jx) where the fj , are general smooth functions with mean 0 and norm 1, and Σd k=1α2 kj=1.
Charles B. Roosen, Trevor J. Hastie
openaire   +1 more source

Stable Local-Smooth Principal Component Pursuit

SIAM Journal on Imaging Sciences
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Jiangjun Peng   +5 more
openaire   +2 more sources

Visual Coherence Affects Smooth Pursuit

Perception, 1996
For four subjects (one naive), we measured pursuit of a line-figure diamond moving along an elliptical path behind an invisible X-shaped aperture under two conditions. The diamond's corners were occluded and only four moving line segments were visible over the background (38 cd m−2).
B R Beutter, J Lorenceau, L S Stone
openaire   +1 more source

The Smooth Pursuit System

2008
Smooth pursuit consists of conjugate eye movements that allow both eyes to smoothly track a slowly moving object so that its image is kept on the foveae. For example, smooth pursuit eye movements are used when you track a child on a swing. Only animals with foveae make smooth pursuit eye movements.
openaire   +1 more source

The relationship between smooth and saccadic components in smooth pursuit

European Archives of Oto-Rhino-Laryngology, 1992
Eye movements in smooth and pathological (saccadic and ataxic) pursuit patterns were separated by the use of the inverse fast Fourier transform. Results showed that the smooth component was significantly smaller while the saccadic component was significantly greater in the pathological pursuit patterns than in the smooth pursuit pattern.
N, Ohashi, K, Mizukoshi
openaire   +2 more sources

Frontal cortical control of smooth-pursuit

Current Opinion in Neurobiology, 2003
To maintain optimal clarity of objects moving slowly in three dimensional space, frontal eyed-primates use both smooth-pursuit and vergence (depth) eye movements to track precisely those objects and maintain their images on the foveae of left and right eyes. The caudal parts of the frontal eye fields contain neurons that discharge during smooth-pursuit.
openaire   +2 more sources

Your Eyes Tell: Leveraging Smooth Pursuit for Assessing Cognitive Workload

International Conference on Human Factors in Computing Systems, 2018
T. Kosch   +4 more
semanticscholar   +1 more source

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