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Affective Intelligent Car Interfaces with Emotion Recognition

In this paper, we uncover a new potential application for multi-media technologies: affective intelligent car interfaces for enhanced driving safety. We also describe the experiment we conducted in order to map certain physiological signals (galvanic skin response, heart beat, and temperature) to certain driving-related emotions and states (Frustration/Anger, Panic/Fear, and Boredom/Sleepiness). We demonstrate the results we obtained and describe how we use these results to facilitate a more natural Human-Computer Interaction in our Multimodal Affective Car Interface for the drivers of the future cars.