Real Time Eyeball Tracking via Derivative Dynamic Time Warping for Human-Machine Interface
In this paper, a real time, user independent eyeball tracking approach is presented. The system is implemented by using a low cost webcam. The robustness of the system is measured by several criteria such as users of different age where some of the users are wearing glasses under varying lighting co...
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2011
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my.um.eprints.20572019-11-15T07:11:29Z http://eprints.um.edu.my/2057/ Real Time Eyeball Tracking via Derivative Dynamic Time Warping for Human-Machine Interface Mokhtar, Norrima Arof, Hamzah Iwahashi, Masahiro TK Electrical engineering. Electronics Nuclear engineering In this paper, a real time, user independent eyeball tracking approach is presented. The system is implemented by using a low cost webcam. The robustness of the system is measured by several criteria such as users of different age where some of the users are wearing glasses under varying lighting condition, pose, eye orientation and distance from camera. The size and location of the region of interest which contains both eyes are made adaptive. Derivative Dynamic Time Warping is chosen as the classifier for this experiment since it can match patterns from data sequences with different lengths. Finally, the results, advantages, limitations and future works of the proposed method are reported. The online eye tracking procedure shows good accuracy and robustness when processing online image sequences at 50 frames/s on a 253 GHz Pavilion DV4 HP notebook. ICIC International 2011-07 Article PeerReviewed Mokhtar, Norrima and Arof, Hamzah and Iwahashi, Masahiro (2011) Real Time Eyeball Tracking via Derivative Dynamic Time Warping for Human-Machine Interface. International Journal of InnovativeComputing, Information and Control, 7 (7B). pp. 4335-4346. ISSN 1349-4198 http://www.ijicic.org/contents.htm |
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TK Electrical engineering. Electronics Nuclear engineering Mokhtar, Norrima Arof, Hamzah Iwahashi, Masahiro Real Time Eyeball Tracking via Derivative Dynamic Time Warping for Human-Machine Interface |
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In this paper, a real time, user independent eyeball tracking approach is presented. The system is implemented by using a low cost webcam. The robustness of the system is measured by several criteria such as users of different age where some of the users are wearing glasses under varying lighting condition, pose, eye orientation and distance from camera. The size and location of the region of interest which contains both eyes are made adaptive. Derivative Dynamic Time Warping is chosen as the classifier for this experiment since it can match patterns from data sequences with different lengths. Finally, the results, advantages, limitations and future works of the proposed method are reported. The online eye tracking procedure shows good accuracy and robustness when processing online image sequences at 50 frames/s on a 253 GHz Pavilion DV4 HP notebook. |
format |
Article |
author |
Mokhtar, Norrima Arof, Hamzah Iwahashi, Masahiro |
author_facet |
Mokhtar, Norrima Arof, Hamzah Iwahashi, Masahiro |
author_sort |
Mokhtar, Norrima |
title |
Real Time Eyeball Tracking via Derivative Dynamic Time Warping for Human-Machine Interface |
title_short |
Real Time Eyeball Tracking via Derivative Dynamic Time Warping for Human-Machine Interface |
title_full |
Real Time Eyeball Tracking via Derivative Dynamic Time Warping for Human-Machine Interface |
title_fullStr |
Real Time Eyeball Tracking via Derivative Dynamic Time Warping for Human-Machine Interface |
title_full_unstemmed |
Real Time Eyeball Tracking via Derivative Dynamic Time Warping for Human-Machine Interface |
title_sort |
real time eyeball tracking via derivative dynamic time warping for human-machine interface |
publisher |
ICIC International |
publishDate |
2011 |
url |
http://eprints.um.edu.my/2057/ http://www.ijicic.org/contents.htm |
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1651867303191511040 |
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13.18916 |