Paper
12 January 2018 Eye gaze tracking based on the shape of pupil image
Rui Wang, Jian Qiu, Kaiqing Luo, Li Peng, Peng Han
Author Affiliations +
Abstract
Eye tracker is an important instrument for research in psychology, widely used in attention, visual perception, reading and other fields of research. Because of its potential function in human-computer interaction, the eye gaze tracking has already been a topic of research in many fields over the last decades. Nowadays, with the development of technology, non-intrusive methods are more and more welcomed. In this paper, we will present a method based on the shape of pupil image to estimate the gaze point of human eyes without any other intrusive devices such as a hat, a pair of glasses and so on. After using the ellipse fitting algorithm to deal with the pupil image we get, we can determine the direction of the fixation by the shape of the pupil.The innovative aspect of this method is to utilize the new idea of the shape of the pupil so that we can avoid much complicated algorithm. The performance proposed is very helpful for the study of eye gaze tracking, which just needs one camera without infrared light to know the changes in the shape of the pupil to determine the direction of the eye gazing, no additional condition is required.
© (2018) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Rui Wang, Jian Qiu, Kaiqing Luo, Li Peng, and Peng Han "Eye gaze tracking based on the shape of pupil image", Proc. SPIE 10620, 2017 International Conference on Optical Instruments and Technology: Optoelectronic Imaging/Spectroscopy and Signal Processing Technology, 106201P (12 January 2018); https://doi.org/10.1117/12.2295567
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Cited by 1 scholarly publication.
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KEYWORDS
Eye

Cameras

Image processing

Infrared radiation

Infrared imaging

Infrared cameras

Visualization

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