Study of decoding mental state based on eye tracks using SVM
Jun Chen · Computer Engineering and Applications Journal · 2011
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 while solving 4*4 sudouk.And then this paper uses 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 three different classification tasks show that the classification accuracy is very high,and the ability of generalization is strong.SVM can be used for the classification of eye tracks.So this paper can interpret different problem-solving strategies according to the results of classification of eye tracks.