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Erschienen in:
A Task-Based View on the Visual Analysis of Eye-Tracking Data Kapitel lesen Erstes Kapitel lesen

2017 | OriginalPaper | Buchkapitel

Accuracy of Monocular Gaze Tracking on 3D Geometry

verfasst von : Xi Wang, David Lindlbauer, Christian Lessig, Marc Alexa

Erschienen in: Eye Tracking and Visualization

Verlag: Springer International Publishing

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Abstract

Many applications such as data visualization or object recognition benefit from accurate knowledge of where a person is looking at. We present a system for accurately tracking gaze positions on a three dimensional object using a monocular head mounted eye tracker. We accomplish this by (1) using digital manufacturing to create stimuli whose geometry is know to high accuracy, (2) embedding fiducial markers into the manufactured objects to reliably estimate the rigid transformation of the object, and, (3) using a perspective model to relate pupil positions to 3D locations. This combination enables the efficient and accurate computation of gaze position on an object from measured pupil positions. We validate the of our system experimentally, achieving an angular resolution of 0.8∘ and a 1.5 % depth error using a simple calibration procedure with 11 points.

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Vorheriges Kapitel Unsupervised Clustering of EOG as a Viable Substitute for Optical Eye Tracking
Nächstes Kapitel 3D Saliency from Eye Tracking with Tomography
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Metadaten
Titel
Accuracy of Monocular Gaze Tracking on 3D Geometry
verfasst von
Xi Wang
David Lindlbauer
Christian Lessig
Marc Alexa
Copyright-Jahr
2017
Buch
Eye Tracking and Visualization

Print ISBN: 978-3-319-47023-8

Electronic ISBN: 978-3-319-47024-5

Copyright-Jahr: 2017

DOI
https://doi.org/10.1007/978-3-319-47024-5_10