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Computational Intelligence and Neuroscience
Volume 2017 (2017), Article ID 5739301, 9 pages
Research Article

Eye Tracking Based Control System for Natural Human-Computer Interaction

1College of Computer and Information Sciences, Fujian Agriculture and Forestry University, Fuzhou 350002, China
2Department of Computer Science, National Chiao Tung University, Hsinchu 300, Taiwan

Correspondence should be addressed to Xiaolong Liu and Shyan-Ming Yuan

Received 23 July 2017; Revised 15 September 2017; Accepted 24 September 2017; Published 18 December 2017

Academic Editor: Irfan Mehmood

Copyright © 2017 Xuebai Zhang et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.


Eye movement can be regarded as a pivotal real-time input medium for human-computer communication, which is especially important for people with physical disability. In order to improve the reliability, mobility, and usability of eye tracking technique in user-computer dialogue, a novel eye control system with integrating both mouse and keyboard functions is proposed in this paper. The proposed system focuses on providing a simple and convenient interactive mode by only using user’s eye. The usage flow of the proposed system is designed to perfectly follow human natural habits. Additionally, a magnifier module is proposed to allow the accurate operation. In the experiment, two interactive tasks with different difficulty (searching article and browsing multimedia web) were done to compare the proposed eye control tool with an existing system. The Technology Acceptance Model (TAM) measures are used to evaluate the perceived effectiveness of our system. It is demonstrated that the proposed system is very effective with regard to usability and interface design.