Abstract
Eye gaze plays a very important role in identifying human’s attention, so it has been considered to be applied in human computer interaction, and one of the main factors in hindering eye gaze application is the complexity of systems and detection method of gaze direction. To build up an eye gaze tracking human-computer interaction system with simple infrastructure and good usability, a kind of gaze direction evaluating approach based on eyes moving trend has been proposed, and the eyes image and feature information are respectively captured and extracted with a Web camera and a computer, and the quantity of eyes moving trend is defined by the ratio of the distances from iris center to the both corners in one eye. Moreover, the image processing algorithms have been provided to detect the characteristics in the image of eyes area, and the eye corners equivalent position detection method has been put up with respect to the shape of eye corners. Some experiments have been done in the test system, and the results show that the proposed methods and algorithms can meet the communication demands for different subjects in multi type work conditions; after completing the initialization, the subjects can freely interact with the computer in a certain work range, and there is no need to frequently calibrate the work parameters, so the limitations to the subjects have been decreased and the system is easy to use, furthermore, it provides a new way for eye gaze tracking technology applied for caring the old and the disability.
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Zhao, Q., Shao, H., Zhang, X., Tu, D. (2014). Method for Detecting Gaze Direction Based on Eyes Moving Trend. In: Ma, S., Jia, L., Li, X., Wang, L., Zhou, H., Sun, X. (eds) Life System Modeling and Simulation. ICSEE LSMS 2014 2014. Communications in Computer and Information Science, vol 461. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-662-45283-7_8
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DOI: https://doi.org/10.1007/978-3-662-45283-7_8
Publisher Name: Springer, Berlin, Heidelberg
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