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Computational Intelligence and Neuroscience
Volume 2016 (2016), Article ID 6898031, 9 pages
http://dx.doi.org/10.1155/2016/6898031
Research Article

Improving Eye Motion Sequence Recognition Using Electrooculography Based on Context-Dependent HMM

1Department of Information Processing, Tokyo Institute of Technology, Yokohama, Japan
2Division of Information Sciences, Chiba University, Chiba, Japan
3Department of Computer Science, Tokyo Institute of Technology, Tokyo, Japan
4Brain Functions Laboratory Inc., Yokohama, Japan

Received 22 March 2016; Revised 24 August 2016; Accepted 31 August 2016

Academic Editor: Justin Dauwels

Copyright © 2016 Fuming Fang 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

Fuming Fang, Takahiro Shinozaki, Yasuo Horiuchi, Shingo Kuroiwa, Sadaoki Furui, and Toshimitsu Musha, “Improving Eye Motion Sequence Recognition Using Electrooculography Based on Context-Dependent HMM,” Computational Intelligence and Neuroscience, vol. 2016, Article ID 6898031, 9 pages, 2016. doi:10.1155/2016/6898031