Visual Exploration of Complex Network Data Using Affective Brain-Computer Interface
Journal Title: International Journal of Advanced Computer Science & Applications - Year 2013, Vol 4, Issue 7
Abstract
This paper describes the current state of the work aimed towards an affective application of BCI to the task of complex data visual exploration. The developed technological approach exploits the idea of supporting tacit and complex domain-specific knowledge acquisition during the examination of visual images built using large input data sets. The presented experimental research on the complex network data exploration process shows the capabilities of the presented approach through the analysis of a user’s affective state estimation.
Authors and Affiliations
Sergey Kovalchuk, Denis Terekhov, Aleksey Bezgodov, Alexander Boukhanovsky
Keywords
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- EP ID EP156792
- DOI 10.14569/IJACSA.2013.040703
- Views 86
- Downloads 0
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