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- W2912290453 abstract "This work proposes a process for an assessment of Player Experience. In a simple way, the emotions are extracted according to arousal and valence values using a bi-dimensional model of affective states. The proposed process obtains affective states from two psychophysiological signals (Facial Expressions and Electrodermal Activity). Standard methods and Principal Component Analysis were used to extract a set of features from the collected signals. In this paper we propose to model a fuzzy system to assess Player Experience." @default.
- W2912290453 created "2019-02-21" @default.
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- W2912290453 date "2018-10-01" @default.
- W2912290453 modified "2023-09-26" @default.
- W2912290453 title "Estimating Player Experience from Arousal and Valence Using Psychophysiological Signals" @default.
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- W2912290453 doi "https://doi.org/10.1109/sbgames.2018.00022" @default.
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