Development of automatic filtering system for individually unpleasant data detected by pupil-size change

机译：自动过滤系统的开发，用于通过瞳孔大小变化检测到的个别不良数据

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We proposed an automatic filtering system to classify individual unpleasant emotions represented by pupil-size change and to remove similar images from a multimedia database. The support vector machines classifier was applied to single-trial data of the pupil size and indicated the possibility of the accurate judgment of individually unpleasant states immediately after looking at emotional pictures. We then constructed the framework to automatically filter such unpleasant information from a picture database, using the bag of features scheme to search for similar images.

机译：我们提出了一种自动过滤系统，可以对由瞳孔大小变化代表的不愉快情绪进行分类，并从多媒体数据库中删除相似的图像。支持向量机分类器应用于瞳孔大小的单次试验数据，并指出了在看完情感图片后立即准确判断各个不愉快状态的可能性。然后，我们构造了一个框架，使用特征包方案搜索相似的图像，从而自动从图片数据库中过滤掉这些令人不快的信息。

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《2011 IEEE International Conference on Systems, Man, and Cybernetics》|2011年|p.3311-3316|共6页
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中图分类自动化系统理论;
关键词
a classifier; database search; emotion; pupil size; support vector machines;

机译：分类器;数据库搜索;情感;学生人数;支持向量机;

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Development of automatic filtering system for individually unpleasant data detected by pupil-size change

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