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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...
Although face-to-face communication includes the richest information, amyotrophic lateral sclerosis patients cannot smoothly communicate with others and express their emotions because of paralyzed muscles. Therefore, the N170 responses of EEG signals were analyzed to detect face stimuli in real time. We also proposed an analytical method for feature extraction of a support vector machine (SVM) classifier...
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