Paper
4 March 2015 Visible-spectrum remote eye tracker for gaze communication
Takashi Imabuchi, Oky Dicky Ardiansyah Prima, Hikaru Kikuchi, Yusuke Horie, Hisayoshi Ito
Author Affiliations +
Proceedings Volume 9443, Sixth International Conference on Graphic and Image Processing (ICGIP 2014); 944333 (2015) https://doi.org/10.1117/12.2180054
Event: Sixth International Conference on Graphic and Image Processing (ICGIP 2014), 2014, Beijing, China
Abstract
Many approaches have been proposed to create an eye tracker based on visible-spectrum. These efforts provide a possibility to create inexpensive eye tracker capable to operate outdoor. Although the resulted tracking accuracy is acceptable for a visible-spectrum head-mounted eye tracker, there are many limitations of these approaches to create a remote eye tracker. In this study, we propose a high-accuracy remote eye tracker that uses visible-spectrum imaging and several gaze communication interfaces suited to the tracker. The gaze communication interfaces are designed to assist people with motor disability. Our results show that the proposed eye tracker achieved an average accuracy of 0.77° and a frame rate of 28 fps with a personal computer. With a tablet device, the proposed eye tracker achieved an average accuracy of 0.82° and a frame rate of 25 fps. The proposed gaze communication interfaces enable users to type a complete sentence containing eleven Japanese characters in about a minute.
© (2015) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Takashi Imabuchi, Oky Dicky Ardiansyah Prima, Hikaru Kikuchi, Yusuke Horie, and Hisayoshi Ito "Visible-spectrum remote eye tracker for gaze communication", Proc. SPIE 9443, Sixth International Conference on Graphic and Image Processing (ICGIP 2014), 944333 (4 March 2015); https://doi.org/10.1117/12.2180054
Lens.org Logo
CITATIONS
Cited by 3 scholarly publications.
Advertisement
Advertisement
RIGHTS & PERMISSIONS
Get copyright permission  Get copyright permission on Copyright Marketplace
KEYWORDS
Eye

Human-machine interfaces

Tablets

Iris recognition

Detection and tracking algorithms

Infrared radiation

Retina

Back to Top