Please use this identifier to cite or link to this item:
Full metadata record
DC FieldValueLanguage
dc.contributor.authorWirot Ponglangkaen_US
dc.contributor.authorNipon Theera-Umponen_US
dc.contributor.authorSansanee Auephanwiriyakulen_US
dc.description.abstract© 2015 by IJIR (CESER PUBLICATIONS). A novel user independent distance measurement method for eye-gaze systems based on the eigenvalues of an iris is presented in this paper. The eye-gaze images are captured using only one IP-camera with the distance between the user’s face and the screen approximately 60 to 80 centimeters. Each distance is composed of 60 predefined points on the screen and the eigenvalues of the iris from a single user is used for modeling distance estimation using the exponential, linear, logarithmic, and power regressions. The test was conducted on 30 subjects who were not a part of the training process. The experimental results substantiate the effectiveness of the exponential model which yielded 96.69% accuracy with the mean absolute error (MAE) of 2.33 centimeters. The test results obtained from linear, logarithmic, and power regressions were 95.98%, 95.33%, and 96.37% accuracy with the MAE’s of 2.78, 2.68, and 2.59 centimeters, respectively. The proposed eye-gaze distance estimation method shows high accuracy with low MAE in distance estimation compared to the pixel count and gray-level intensity approaches whose accuracy is 92.31% and 96.54%.en_US
dc.subjectComputer Scienceen_US
dc.titleUsing iris region eigenvalues for user-independent eye-gaze distance estimation in single-camera setupen_US
article.title.sourcetitleInternational Journal of Imaging and Roboticsen_US
article.volume15en_US Mai Universityen_US
Appears in Collections:CMUL: Journal Articles

Files in This Item:
There are no files associated with this item.

Items in CMUIR are protected by copyright, with all rights reserved, unless otherwise indicated.