Abstract
Affect and emotion are probably the most important facets of our lives. They make our lives worth living by enabling us to enjoy experiences, to value the behavior of others and helping us to make decisions more easily. They enforce or fade out the memory of distinct events and make some of them unique in the sequence of episodes that we undergo each day. But also, they function as a modulator of information when interacting with other people and play an essential role in fine-tuning our communication. The ability to express and understand emotional signs can hence be considered vital for interacting with human beings. Leveraging the power of emotion recognition to enhance technology seems obligatory when designing technology for people. This chapter introduces the physiological background of emotion recognition, describes the general approach to detecting emotion using physiological sensors, and gives two examples of affective applications.
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Notes
- 1.
Speech analysis is also successfully used to conclude on emotional processes in a user. The emotional coloring of the voice happens through ANS controlled changes of the tension of the muscles of the vocal tract. As speech analysis can only be performed when the person is talking, it is a rather sporadic source of information and will not discussed here any further. Please refer Peter and Beale (2008) and Tao and Tan (2009).
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Peter, C., Urban, B. (2012). Emotion in Human-Computer Interaction. In: Dill, J., Earnshaw, R., Kasik, D., Vince, J., Wong, P. (eds) Expanding the Frontiers of Visual Analytics and Visualization. Springer, London. https://doi.org/10.1007/978-1-4471-2804-5_14
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