Abstract

This article is focused on the preliminary study of detecting different types of phobias from the electrodermal activity signal. Electrodermal activity is independent of parasympathetic activity; therefore, it is an ideal indicator of phobias. An automatic algorithm was created for the detection of phobias, which evaluates the presence of a stress reaction to a stimulus in the form of an image sequence representing the given phobia. The results obtained using the proposed algorithm were confronted with the data provided by individual respondents in the questionnaire. By comparison, it was found that the proposed algorithm detected a greater number of phobias than reported by the respondents. According to the achieved results, we can state that electrodermal activity can serve as a means of objectifying the presence of phobias in individuals.

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