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Computational Intelligence and Neuroscience
Volume 2016 (2016), Article ID 7831469, 2 pages

Advances in Eye Tracking Technology: Theory, Algorithms, and Applications

1Chu Hai College of Higher Education, New Territories, Hong Kong
2Shandong University, Jinan 250100, China
3Department of Science and Technology, University of Naples Parthenope, Centro Direzionale, Isola C4, 80134 Naples, Italy
4University of Rome “Sapienza”, Piazzale Aldo Moro 5, 00185 Rome, Italy
5Missouri University of Science and Technology, Rolla, MO, USA

Received 21 July 2016; Accepted 21 July 2016

Copyright © 2016 Hong Fu 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.

How to Cite this Article

Hong Fu, Ying Wei, Francesco Camastra, Pietro Arico, and Hong Sheng, “Advances in Eye Tracking Technology: Theory, Algorithms, and Applications,” Computational Intelligence and Neuroscience, vol. 2016, Article ID 7831469, 2 pages, 2016. doi:10.1155/2016/7831469