Probabilistic approach to robust wearable gaze tracking
This paper presents a method for computing the gaze point using camera data captured with a wearable gaze tracking device. The method utilizes a physical model of the human eye, advanced Bayesian computer vision algorithms, and Kalman filtering, resulting in high accuracy and low noise. Our C++ impl...
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| Format: | Article |
| Language: | English |
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MDPI AG
2017-11-01
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| Series: | Journal of Eye Movement Research |
| Subjects: | |
| Online Access: | https://bop.unibe.ch/JEMR/article/view/3792 |
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| _version_ | 1849727484537339904 |
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| author | Miika Toivanen Kristian Lukander Kai Puolamäki |
| author_facet | Miika Toivanen Kristian Lukander Kai Puolamäki |
| author_sort | Miika Toivanen |
| collection | DOAJ |
| description | This paper presents a method for computing the gaze point using camera data captured with a wearable gaze tracking device. The method utilizes a physical model of the human eye, advanced Bayesian computer vision algorithms, and Kalman filtering, resulting in high accuracy and low noise. Our C++ implementation can process camera streams with 30 frames per second in realtime. The performance of the system is validated in an exhaustive experimental setup with 19 participants, using a self-made device. Due to the used eye model and binocular cameras, the system is accurate for all distances and invariant to device movement. We also test our system against a best-in-class commercial device which is outperformed for spatial accuracy and precision. The software and hardware instructions as well as the experimental data are published as open source. |
| format | Article |
| id | doaj-art-aaa94951c713420eab106bd2b07ae561 |
| institution | DOAJ |
| issn | 1995-8692 |
| language | English |
| publishDate | 2017-11-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Journal of Eye Movement Research |
| spelling | doaj-art-aaa94951c713420eab106bd2b07ae5612025-08-20T03:09:49ZengMDPI AGJournal of Eye Movement Research1995-86922017-11-0110410.16910/jemr.10.4.2Probabilistic approach to robust wearable gaze trackingMiika Toivanen0Kristian LukanderKai PuolamäkiUniversity of HelsinkiThis paper presents a method for computing the gaze point using camera data captured with a wearable gaze tracking device. The method utilizes a physical model of the human eye, advanced Bayesian computer vision algorithms, and Kalman filtering, resulting in high accuracy and low noise. Our C++ implementation can process camera streams with 30 frames per second in realtime. The performance of the system is validated in an exhaustive experimental setup with 19 participants, using a self-made device. Due to the used eye model and binocular cameras, the system is accurate for all distances and invariant to device movement. We also test our system against a best-in-class commercial device which is outperformed for spatial accuracy and precision. The software and hardware instructions as well as the experimental data are published as open source.https://bop.unibe.ch/JEMR/article/view/3792Wearable gaze trackingHuman eye modelingBayesian modelingKalman filtering |
| spellingShingle | Miika Toivanen Kristian Lukander Kai Puolamäki Probabilistic approach to robust wearable gaze tracking Journal of Eye Movement Research Wearable gaze tracking Human eye modeling Bayesian modeling Kalman filtering |
| title | Probabilistic approach to robust wearable gaze tracking |
| title_full | Probabilistic approach to robust wearable gaze tracking |
| title_fullStr | Probabilistic approach to robust wearable gaze tracking |
| title_full_unstemmed | Probabilistic approach to robust wearable gaze tracking |
| title_short | Probabilistic approach to robust wearable gaze tracking |
| title_sort | probabilistic approach to robust wearable gaze tracking |
| topic | Wearable gaze tracking Human eye modeling Bayesian modeling Kalman filtering |
| url | https://bop.unibe.ch/JEMR/article/view/3792 |
| work_keys_str_mv | AT miikatoivanen probabilisticapproachtorobustwearablegazetracking AT kristianlukander probabilisticapproachtorobustwearablegazetracking AT kaipuolamaki probabilisticapproachtorobustwearablegazetracking |