文章基本信息

标题：Automatic System to Remove Unpleasant Images Detected by Pupil-Size Changes
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作者：Koji Kashihara
期刊名称：International Journal of Computer Science Issues
印刷版ISSN：1694-0784
电子版ISSN：1694-0814
出版年度：2012
卷号：9
期号：1
出版社：IJCSI Press
摘要：An automatic filtering system to classify individual unpleasant emotions represented by pupil-size changes was proposed. The support vector machines classifier was applied to single-trial data of pupil size and indicated the possibility of the correct judgment of individually unpleasant states immediately after looking at emotional pictures. The framework was then constructed to automatically filter the similar unpleasant information from a picture database, applying the bag of features scheme to search for similar images.
关键词：Pupil size; Emotion; Database search; Support vector machines