Abstract
In this study, we classified emotional responses of a user by measuring the physiological response signals with the Emotion Collector, which is a wearable band equipped with a multi-sensor device. We collected physiological signal data to measure the delicate hand movements, heart rate, and skin tension of the user analysis with a focus on picking out fear among the user’s emotions. In experiments classifying fear factors into five categories, we were able to identify the characteristics of the user’s physiological responses according to the type of fear. We were also able to find the similarities and differences of physiological and psychological results for fear. The Emotion Collector is very easy to use, robust, and suitable for mobile and long-time logging of data. It can easily be integrated into other systems or applications. The system is designed for use in emotion research as well as in everyday affective applications such as user-centered service and content.
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