Mokhtar, N.B.; Arof, H.; Iwahashi, M. (2011) Real time eyeball tracking via derivative dynamic time warping for human machine interface. International Journal of Innovative Computing Information and Control, 7 (7B). pp. 4335-4346. ISSN 1349-4198Full text not available from this repository.
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.
|Journal or Publication Title:||International Journal of Innovative Computing Information and Control|
|Uncontrolled Keywords:||Automation & Control Systems; Computer Science, Artificial Intelligence|
|Subjects:||Q Science > QA Mathematics > QA75 Electronic computers. Computer science|
|Divisions:||Faculty of Engineering > School of Electronics and Computer Science|
|Depositing User:||Zanaria Saupi Udin|
|Date Deposited:||25 Aug 2011 15:56|
|Last Modified:||21 Dec 2014 15:53|
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