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Proceedings Paper

3D recovery of human gaze in natural environments
Author(s): Lucas Paletta; Katrin Santner; Gerald Fritz; Heinz Mayer
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Paper Abstract

The estimation of human attention has recently been addressed in the context of human robot interaction. Today, joint work spaces already exist and challenge cooperating systems to jointly focus on common objects, scenes and work niches. With the advent of Google glasses and increasingly affordable wearable eye-tracking, monitoring of human attention will soon become ubiquitous. The presented work describes for the first time a method for the estimation of human fixations in 3D environments that does not require any artificial landmarks in the field of view and enables attention mapping in 3D models. It enables full 3D recovery of the human view frustum and the gaze pointer in a previously acquired 3D model of the environment in real time. The study on the precision of this method reports a mean projection error ≈1.1 cm and a mean angle error ≈0.6° within the chosen 3D model - the precision does not go below the one of the technical instrument (≈1°). This innovative methodology will open new opportunities for joint attention studies as well as for bringing new potential into automated processing for human factors technologies.

Paper Details

Date Published: 4 February 2013
PDF: 10 pages
Proc. SPIE 8662, Intelligent Robots and Computer Vision XXX: Algorithms and Techniques, 86620K (4 February 2013); doi: 10.1117/12.2008539
Show Author Affiliations
Lucas Paletta, JOANNEUM RESEARCH Forschungsgesellschaft mbH (Austria)
Katrin Santner, JOANNEUM RESEARCH Forschungsgesellschaft mbH (Austria)
Gerald Fritz, JOANNEUM RESEARCH Forschungsgesellschaft mbH (Austria)
Heinz Mayer, JOANNEUM RESEARCH Forschungsgesellschaft mbH (Austria)

Published in SPIE Proceedings Vol. 8662:
Intelligent Robots and Computer Vision XXX: Algorithms and Techniques
Juha Röning; David Casasent, Editor(s)

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