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  A comparison of geometric- and regression-based mobile gaze-tracking

Browatzki, B., Bülthoff, H., & Chuang, L. (2014). A comparison of geometric- and regression-based mobile gaze-tracking. Frontiers in Human Neuroscience, 8: 200, pp. 1-12. doi:10.3389/fnhum.2014.00200.

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Item Permalink: http://hdl.handle.net/11858/00-001M-0000-0027-8029-3 Version Permalink: http://hdl.handle.net/21.11116/0000-0001-8CDB-B
Genre: Journal Article

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Browatzki, B1, 2, Author              
Bülthoff, HH1, 2, Author              
Chuang, LL1, 2, Author              
Affiliations:
1Department Human Perception, Cognition and Action, Max Planck Institute for Biological Cybernetics, Max Planck Society, ou_1497797              
2Max Planck Institute for Biological Cybernetics, Max Planck Society, Spemannstrasse 38, 72076 Tübingen, DE, ou_1497794              

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 Abstract: Video-based gaze-tracking systems are typically restricted in terms of their effective tracking space. This constraint limits the use of eyetrackers in studying mobile human behavior. Here, we compare two possible approaches for estimating the gaze of participants who are free to walk in a large space whilst looking at different regions of a large display. Geometrically, we linearly combined eye-in-head rotations and head-in-world coordinates to derive a gaze vector and its intersection with a planar display, by relying on the use of a head-mounted eyetracker and body-motion tracker. Alternatively, we employed Gaussian process regression to estimate the gaze intersection directly from the input data itself. Our evaluation of both methods indicates that a regression approach can deliver comparable results to a geometric approach. The regression approach is favored, given that it has the potential for further optimization, provides confidence bounds for its gaze estimates and offers greater flexibility in its implementation. Open-source software for the methods reported here is also provided for user implementation.

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 Dates: 2014-04
 Publication Status: Published online
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 Identifiers: DOI: 10.3389/fnhum.2014.00200
BibTex Citekey: BrowatzkiBC2014
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Title: Frontiers in Human Neuroscience
Source Genre: Journal
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Pages: - Volume / Issue: 8 Sequence Number: 200 Start / End Page: 1 - 12 Identifier: -