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Proceedings of 2009 International Workshop on Information Security and Application (IWISA 2009)

Qingdao, China, November 21-22, 2009

Editors: Feng Gao and Xijun Zhu

AP Catalog Number: AP-PROC-CS-09CN004

ISBN: 978-952-5726-06-0

Page(s): 568-571

The Study of Decoding Mental State Based Eye Tracks Using SVM

        Jie Xiang, Huixia Yan, and Junjie Chen

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At present, it is a hot topic in applied psychology that interpreting people’s thinking from eye tracks. In this paper, research material is 4*4 sudoku. The Tobii eye tracker records subjects’ eye tracks when they are solving 4*4 sudouk. And then use feature values, the weighted value of the composite indicators, such as the duration, regression time of each AOI, to train SVM classifier. The experiments of two different classification tasks show that, the classification accuracy is very high, and the ability of generalization is strong. So SVM can be used for the classification of eye tracks and this method can decode different problem-solving strategies according to eye tracks.

Index Terms

SVM classification, eye track, 4*4 sudoku, eye indicators

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