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Sensors 2019, 19(1), 216; https://doi.org/10.3390/s19010216

Implicit Calibration Using Probable Fixation Targets

Institute of Informatics, Silesian University of Technology, Akademicka 16, 44-100 Gliwice, Poland
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Received: 8 November 2018 / Revised: 13 December 2018 / Accepted: 25 December 2018 / Published: 8 January 2019
(This article belongs to the Section Physical Sensors)
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Abstract

Proper calibration of eye movement signal registered by an eye tracker seems to be one of the main challenges in popularizing eye trackers as yet another user-input device. Classic calibration methods taking time and imposing unnatural behavior on eyes must be replaced by intelligent methods that are able to calibrate the signal without conscious cooperation by the user. Such an implicit calibration requires some knowledge about the stimulus a user is looking at and takes into account this information to predict probable gaze targets. This paper describes a possible method to perform implicit calibration: it starts with finding probable fixation targets (PFTs), then it uses these targets to build a mapping-probable gaze path. Various algorithms that may be used for finding PFTs and mappings are presented in the paper and errors are calculated using two datasets registered with two different types of eye trackers. The results show that although for now the implicit calibration provides results worse than the classic one, it may be comparable with it and sufficient for some applications. View Full-Text
Keywords: eye tracking; calibration; eye movement; optimization eye tracking; calibration; eye movement; optimization
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This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited (CC BY 4.0).
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Kasprowski, P.; Harȩżlak, K.; Skurowski, P. Implicit Calibration Using Probable Fixation Targets. Sensors 2019, 19, 216.

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