Emotional Brain-Computer Interfaces

Garcia Molina, Gary and Tsoneva, Tsvetomira and Nijholt, Anton (2009) Emotional Brain-Computer Interfaces. In: 3rd International Conference on Affective Computing and Intelligent Interaction, ACII 2009, 10-12 September 2009, Amsterdam, The Netherlands.

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Abstract:	Research in Brain-computer interface (BCI) has significantly increased during the last few years. In addition to their initial role as assisting devices for the physically challenged, BCIs are now proposed for a wider range of applications. As in any HCI application, BCIs can also benefit from adapting their operation to the emotional state of the user. BCIs have the advantage of having access to brain activity which can provide signicant insight into the user's emotional state. This information can be utilized in two manners. 1) Knowledge of the inuence of the emotional state on brain activity patterns can allow the BCI to adapt its recognition algorithms, so that the intention of the user is still correctly interpreted in spite of signal deviations induced by the subject's emotional state. 2) The ability to recognize emotions can be used in BCIs to provide the user with more natural ways of controlling the BCI through affective modulation. Thus, controlling a BCI by recollecting a pleasant memory can be possible and can potentially lead to higher information transfer rates. These two approaches of emotion utilization in BCI are elaborated in detail in this paper in the framework of noninvasive EEG based BCIs.
Item Type:	Conference or Workshop Item
Copyright:	© 2009 IEEE
Faculty:	Electrical Engineering, Mathematics and Computer Science (EEMCS)
Research Group:	Human Media Interaction (HMI)
Link to this item:	http://purl.utwente.nl/publications/68935
Official URL:	http://dx.doi.org/10.1109/ACII.2009.5349478
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