Abstract
Art and emotions are intimately related. This work proposes the application to arts of Emotracker, a novel tool that mixes eye tracking technology and facial emotions detection to track user behaviour. This combination offers intuitive and highly visual possibilities of relating eye gaze, emotions and artistic contents. The results obtained after carrying out "5-second emotracking tests" over art illustrations and the use of the gathered information to create real-time artistic effects are presented. © 2014 Springer International Publishing.
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CITATION STYLE
Hupont, I., Cerezo, E., Baldassarri, S., & Del-Hoyo, R. (2014). Emotracking digital art. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 8511 LNCS, pp. 739–749). Springer Verlag. https://doi.org/10.1007/978-3-319-07230-2_70
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