Literature DB >> 12564559

Using high frame rate CMOS sensors for three-dimensional eye tracking.

A H Clarke1, J Ditterich, K Drüen, U Schönfeld, C Steineke.   

Abstract

A novel three-dimensional eye tracker is described and its performance evaluated. In contrast to previous devices based on conventional video standards, the present eye tracker is based on programmable CMOS image sensors, interfaced directly to digital processing circuitry to permit real-time image acquisition and processing. This architecture provides a number of important advantages, including image sampling rates of up to 400/sec measurement, direct pixel addressing for preprocessing and acquisition,and hard-disk storage of relevant image data. The reconfigurable digital processing circuitry also facilitates inline optmization of the front-end, time-critical processes. The primary acquisition algorithm for tracking the pupil and other eye features is designed around the generalized Hough transform. The tracker permits comprehensive measurement of eye movement (three degrees of freedom) and head movement (six degrees of freedom), and thus provides the basis for many types of vestibulo-oculomotor and visual research. The device has been qualified by the German Space Agency (DLR) and NASA for deployment on the International Space Station. It is foreseen that the device will be used together with appropriate stimulus generators as a general purpose facility for visual and vestibular experiments. Initial verification studies with an artificial eye demonstrate a measurement resolution of better than 0.1 degrees in all three components (i.e.,system noise for each of the components measured as 0.006 degrees H, 0.005 degrees V, and 0.016 degrees T. Over a range of +/-20 degrees eye rotation, linearity was found to be <0.5% (H), <0.5% (V), and <2.0% (T). A comparison with the scleral search coil technique yielded near equivalent values for the system noise and the thickness of Listing's plane.

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Year:  2002        PMID: 12564559     DOI: 10.3758/bf03195484

Source DB:  PubMed          Journal:  Behav Res Methods Instrum Comput        ISSN: 0743-3808


  17 in total

1.  Knowing what the brain is seeing in three dimensions: A novel, noninvasive, sensitive, accurate, and low-noise technique for measuring ocular torsion.

Authors:  Jorge Otero-Millan; Dale C Roberts; Adrian Lasker; David S Zee; Amir Kheradmand
Journal:  J Vis       Date:  2015       Impact factor: 2.240

2.  Modification of unilateral otolith responses following spaceflight.

Authors:  Andrew H Clarke; Uwe Schönfeld
Journal:  Exp Brain Res       Date:  2015-09-10       Impact factor: 1.972

3.  The control of vertical saccades in aged subjects.

Authors:  Qing Yang; Zoï Kapoula
Journal:  Exp Brain Res       Date:  2005-11-24       Impact factor: 1.972

Review 4.  The application of eye-tracking technology in the study of autism.

Authors:  Zillah Boraston; Sarah-Jayne Blakemore
Journal:  J Physiol       Date:  2007-04-12       Impact factor: 5.182

5.  Saccades during symmetrical vergence.

Authors:  Olivier A Coubard; Zoï Kapoula
Journal:  Graefes Arch Clin Exp Ophthalmol       Date:  2007-11-22       Impact factor: 3.117

6.  Control of bimanual rhythmic movements: trading efficiency for robustness depending on the context.

Authors:  Renaud Ronsse; Jean-Louis Thonnard; Philippe Lefèvre; Rodolphe Sepulchre
Journal:  Exp Brain Res       Date:  2008-02-14       Impact factor: 1.972

7.  Velocity storage activity is affected after sustained centrifugation: a relationship with spatial disorientation.

Authors:  Suzanne A E Nooij; Jelte E Bos; Eric L Groen
Journal:  Exp Brain Res       Date:  2008-06-20       Impact factor: 1.972

8.  The relative timing between eye and hand in rapid sequential pointing is affected by time pressure, but not by advance knowledge.

Authors:  F J A Deconinck; V van Polanen; G J P Savelsbergh; S J Bennett
Journal:  Exp Brain Res       Date:  2011-07-09       Impact factor: 1.972

9.  Mechanisms compensating for visual field restriction in adolescents with damage to the retro-geniculate visual system.

Authors:  L Jacobson; F Lennartsson; T Pansell; G Oqvist Seimyr; L Martin
Journal:  Eye (Lond)       Date:  2012-09-21       Impact factor: 3.775

10.  Compensating for camera translation in video eye-movement recordings by tracking a representative landmark selected automatically by a genetic algorithm.

Authors:  Faisal Karmali; Mark Shelhamer
Journal:  J Neurosci Methods       Date:  2008-09-17       Impact factor: 2.390

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