A single-camera gaze tracking system under natural light
Gaze tracking is a human-computer interaction technology, and it has been widely studied in the academic and industrial fields. However, constrained by the performance of the specific sensors and algorithms, it has not been popularized for everyone. This paper proposes a single-camera gaze tracking...
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| Format: | Article |
| Language: | English |
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MDPI AG
2018-09-01
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| Series: | Journal of Eye Movement Research |
| Subjects: | |
| Online Access: | https://bop.unibe.ch/JEMR/article/view/4102 |
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| _version_ | 1850159496219852800 |
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| author | Feng Xiao Dandan Zheng Kejie Huang Yue Qiu Haibin Shen |
| author_facet | Feng Xiao Dandan Zheng Kejie Huang Yue Qiu Haibin Shen |
| author_sort | Feng Xiao |
| collection | DOAJ |
| description | Gaze tracking is a human-computer interaction technology, and it has been widely studied in the academic and industrial fields. However, constrained by the performance of the specific sensors and algorithms, it has not been popularized for everyone. This paper proposes a single-camera gaze tracking system under natural light to enable its versatility. The iris center and anchor point are the most crucial factors for the accuracy of the system. The accurate iris center is detected by the simple active contour snakuscule, which is initialized by the prior knowledge of eye anatomical dimensions. After that, a novel anchor point is computed by the stable facial landmarks. Next, second-order mapping functions use the eye vectors and the head pose to estimate the points of regard. Finally, the gaze errors are improved by implementing a weight coefficient on the points of regard of the left and right eyes. The feature position of the iris center achieves an accuracy of 98.87% on the GI4E database when the normalized error is lower than 0.05. The accuracy of the gaze tracking method is superior to the-state-of-the-art appearance-based and feature-based methods on the EYEDIAP database. |
| format | Article |
| id | doaj-art-b5063b4a97fd41e7a2922e84e55ca518 |
| institution | OA Journals |
| issn | 1995-8692 |
| language | English |
| publishDate | 2018-09-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Journal of Eye Movement Research |
| spelling | doaj-art-b5063b4a97fd41e7a2922e84e55ca5182025-08-20T02:23:31ZengMDPI AGJournal of Eye Movement Research1995-86922018-09-0111410.16910/jemr.11.4.5A single-camera gaze tracking system under natural lightFeng Xiao0Dandan Zheng1Kejie Huang2Yue Qiu3Haibin Shen4Institute of VLSI Design, Zhejiang University, ChinaInstitute of VLSI Design, Zhejiang University, ChinaInstitute of VLSI Design, Zhejiang University, ChinaInstitute of VLSI Design, Zhejiang University, ChinaInstitute of VLSI Design, Zhejiang University, ChinaGaze tracking is a human-computer interaction technology, and it has been widely studied in the academic and industrial fields. However, constrained by the performance of the specific sensors and algorithms, it has not been popularized for everyone. This paper proposes a single-camera gaze tracking system under natural light to enable its versatility. The iris center and anchor point are the most crucial factors for the accuracy of the system. The accurate iris center is detected by the simple active contour snakuscule, which is initialized by the prior knowledge of eye anatomical dimensions. After that, a novel anchor point is computed by the stable facial landmarks. Next, second-order mapping functions use the eye vectors and the head pose to estimate the points of regard. Finally, the gaze errors are improved by implementing a weight coefficient on the points of regard of the left and right eyes. The feature position of the iris center achieves an accuracy of 98.87% on the GI4E database when the normalized error is lower than 0.05. The accuracy of the gaze tracking method is superior to the-state-of-the-art appearance-based and feature-based methods on the EYEDIAP database.https://bop.unibe.ch/JEMR/article/view/4102Eye movementeye trackinggazeusabilitysingle camerafacial landmark |
| spellingShingle | Feng Xiao Dandan Zheng Kejie Huang Yue Qiu Haibin Shen A single-camera gaze tracking system under natural light Journal of Eye Movement Research Eye movement eye tracking gaze usability single camera facial landmark |
| title | A single-camera gaze tracking system under natural light |
| title_full | A single-camera gaze tracking system under natural light |
| title_fullStr | A single-camera gaze tracking system under natural light |
| title_full_unstemmed | A single-camera gaze tracking system under natural light |
| title_short | A single-camera gaze tracking system under natural light |
| title_sort | single camera gaze tracking system under natural light |
| topic | Eye movement eye tracking gaze usability single camera facial landmark |
| url | https://bop.unibe.ch/JEMR/article/view/4102 |
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