An investigation of the distribution of gaze estimation errors in head mounted gaze trackers using polynomial functions
Second order polynomials are commonly used for estimating the point-of-gaze in head-mounted eye trackers. Studies in remote (desktop) eye trackers show that although some non-standard 3rd order polynomial models could provide better accuracy, high-order polynomials do not necessarily provide better...
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| Language: | English |
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MDPI AG
2018-06-01
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| Series: | Journal of Eye Movement Research |
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| Online Access: | https://bop.unibe.ch/JEMR/article/view/4183 |
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| author | Diako Mardanbegi Andrew T. N. Kurauchi Carlos H. Morimoto |
| author_facet | Diako Mardanbegi Andrew T. N. Kurauchi Carlos H. Morimoto |
| author_sort | Diako Mardanbegi |
| collection | DOAJ |
| description | Second order polynomials are commonly used for estimating the point-of-gaze in head-mounted eye trackers. Studies in remote (desktop) eye trackers show that although some non-standard 3rd order polynomial models could provide better accuracy, high-order polynomials do not necessarily provide better results. Different than remote setups though, where gaze is estimated over a relatively narrow field-of-view surface (e.g. less than 30x20 degrees on typical computer displays), head-mounted gaze trackers (HMGT) are often desired to cover a relatively wider field-of-view to make sure that the gaze is detected in the scene image even for extreme eye angles. In this paper we investigate the behavior of the gaze estimation error distribution throughout the image of the scene camera when using polynomial functions. Using simulated scenarios, we describe effects of four different sources of error: interpolation, extrapolation, parallax, and radial distortion. We show that the use of third order polynomials result in more accurate gaze estimates in HMGT, and that the use of wide angle lenses might be beneficial in terms of error reduction. |
| format | Article |
| id | doaj-art-bb5db216d0694e7396e930ce3242328b |
| institution | OA Journals |
| issn | 1995-8692 |
| language | English |
| publishDate | 2018-06-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Journal of Eye Movement Research |
| spelling | doaj-art-bb5db216d0694e7396e930ce3242328b2025-08-20T02:18:50ZengMDPI AGJournal of Eye Movement Research1995-86922018-06-0111310.16910/jemr.11.3.5An investigation of the distribution of gaze estimation errors in head mounted gaze trackers using polynomial functionsDiako Mardanbegi0Andrew T. N. Kurauchi1Carlos H. Morimoto2Lancaster University, UKDepartment of Computer Science (IME), University of São Paulo, São Paulo, BrazilDepartment of Computer Science (IME), University of São Paulo, São Paulo, BrazilSecond order polynomials are commonly used for estimating the point-of-gaze in head-mounted eye trackers. Studies in remote (desktop) eye trackers show that although some non-standard 3rd order polynomial models could provide better accuracy, high-order polynomials do not necessarily provide better results. Different than remote setups though, where gaze is estimated over a relatively narrow field-of-view surface (e.g. less than 30x20 degrees on typical computer displays), head-mounted gaze trackers (HMGT) are often desired to cover a relatively wider field-of-view to make sure that the gaze is detected in the scene image even for extreme eye angles. In this paper we investigate the behavior of the gaze estimation error distribution throughout the image of the scene camera when using polynomial functions. Using simulated scenarios, we describe effects of four different sources of error: interpolation, extrapolation, parallax, and radial distortion. We show that the use of third order polynomials result in more accurate gaze estimates in HMGT, and that the use of wide angle lenses might be beneficial in terms of error reduction.https://bop.unibe.ch/JEMR/article/view/4183eye trackinggaze estimationHead-mounted eye trackingpolynomial map- pingerror distribution |
| spellingShingle | Diako Mardanbegi Andrew T. N. Kurauchi Carlos H. Morimoto An investigation of the distribution of gaze estimation errors in head mounted gaze trackers using polynomial functions Journal of Eye Movement Research eye tracking gaze estimation Head-mounted eye tracking polynomial map- ping error distribution |
| title | An investigation of the distribution of gaze estimation errors in head mounted gaze trackers using polynomial functions |
| title_full | An investigation of the distribution of gaze estimation errors in head mounted gaze trackers using polynomial functions |
| title_fullStr | An investigation of the distribution of gaze estimation errors in head mounted gaze trackers using polynomial functions |
| title_full_unstemmed | An investigation of the distribution of gaze estimation errors in head mounted gaze trackers using polynomial functions |
| title_short | An investigation of the distribution of gaze estimation errors in head mounted gaze trackers using polynomial functions |
| title_sort | investigation of the distribution of gaze estimation errors in head mounted gaze trackers using polynomial functions |
| topic | eye tracking gaze estimation Head-mounted eye tracking polynomial map- ping error distribution |
| url | https://bop.unibe.ch/JEMR/article/view/4183 |
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