Paper
14 February 2008 Comparison of eye tracking devices used on printed images
Author Affiliations +
Proceedings Volume 6806, Human Vision and Electronic Imaging XIII; 68061I (2008) https://doi.org/10.1117/12.766231
Event: Electronic Imaging, 2008, San Jose, California, United States
Abstract
Eye tracking as a quantitative method for collecting eye movement data, requires the accurate knowledge of the eye position, where eye movements can provide indirect evidence about what the subject sees. In this study two eye tracking devices have been compared, a Head-mounted Eye Tracking Device (HED) and a Remote Eye Tracking Device (RED). The precision of both devices has been evaluated, in terms of gaze position accuracy and stability of the calibration. For the HED it has been investigated how to register data to real-world coordinates. This is needed since coordinates collected by the HED eye tracker are relative to the position of the subject's head and not relative to the actual stimuli as it is the case for the RED device. Result Results show that the precision gets worse with time for both eye tracking devices. The precision of RED is better than the HED and the difference between them is around 10 - 16 pixels (5.584 mm). The distribution of gaze positions for HED and RED devices was expressed by a percentage representation of the point of regard in areas defined by the viewing angle. For both eye tracking devices the gaze position accuracy has been 95-99% at 1.5-2° viewing angle. The stability of the calibration was investigated at the end of the experiment and the obtained result was not statistically significant. But the distribution of the gaze position is larger at the end of the experiment than at the beginning.
© (2008) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Barbora Komínková, Marius Pedersen, Jon Y. Hardeberg, and Marie Kaplanová "Comparison of eye tracking devices used on printed images", Proc. SPIE 6806, Human Vision and Electronic Imaging XIII, 68061I (14 February 2008); https://doi.org/10.1117/12.766231
Lens.org Logo
CITATIONS
Cited by 4 scholarly publications.
Advertisement
Advertisement
RIGHTS & PERMISSIONS
Get copyright permission  Get copyright permission on Copyright Marketplace
KEYWORDS
Eye

Video

Calibration

Head

Cameras

Image processing

Statistical analysis

Back to Top