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

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.