Using iris region eigenvalues for user-independent eye-gaze distance estimation in single-camera setup

© 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 approximat...

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Main Authors: Wirot Ponglangka, Nipon Theera-Umpon, Sansanee Auephanwiriyakul
Format: Journal
Published: 2018
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http://cmuir.cmu.ac.th/jspui/handle/6653943832/44461
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Institution: Chiang Mai University
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spelling th-cmuir.6653943832-444612018-04-25T07:51:37Z Using iris region eigenvalues for user-independent eye-gaze distance estimation in single-camera setup Wirot Ponglangka Nipon Theera-Umpon Sansanee Auephanwiriyakul Agricultural and Biological Sciences © 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%. 2018-01-24T04:43:11Z 2018-01-24T04:43:11Z 2015-01-01 Journal 2231525X 2-s2.0-84930791061 https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=84930791061&origin=inward http://cmuir.cmu.ac.th/jspui/handle/6653943832/44461
institution Chiang Mai University
building Chiang Mai University Library
country Thailand
collection CMU Intellectual Repository
topic Agricultural and Biological Sciences
spellingShingle Agricultural and Biological Sciences
Wirot Ponglangka
Nipon Theera-Umpon
Sansanee Auephanwiriyakul
Using iris region eigenvalues for user-independent eye-gaze distance estimation in single-camera setup
description © 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%.
format Journal
author Wirot Ponglangka
Nipon Theera-Umpon
Sansanee Auephanwiriyakul
author_facet Wirot Ponglangka
Nipon Theera-Umpon
Sansanee Auephanwiriyakul
author_sort Wirot Ponglangka
title Using iris region eigenvalues for user-independent eye-gaze distance estimation in single-camera setup
title_short Using iris region eigenvalues for user-independent eye-gaze distance estimation in single-camera setup
title_full Using iris region eigenvalues for user-independent eye-gaze distance estimation in single-camera setup
title_fullStr Using iris region eigenvalues for user-independent eye-gaze distance estimation in single-camera setup
title_full_unstemmed Using iris region eigenvalues for user-independent eye-gaze distance estimation in single-camera setup
title_sort using iris region eigenvalues for user-independent eye-gaze distance estimation in single-camera setup
publishDate 2018
url https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=84930791061&origin=inward
http://cmuir.cmu.ac.th/jspui/handle/6653943832/44461
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