Effective affective EEG-based indicators in emotion-evoking VR environments: an evidence from machine learning
Ivonne Angelica Castiblanco Jimenez,
Elena Carlotta Olivetti,
Enrico Vezzetti
et al.
Abstract:This study investigates the use of electroencephalography (EEG) to characterize emotions and provides insights into the consistency between self-reported and machine learning outcomes. Thirty participants engaged in five virtual reality environments designed to elicit specific emotions, while their brain activity was recorded. The participants self-assessed their ground truth emotional state in terms of Arousal and Valence through a Self-Assessment Manikin. Gradient Boosted Decision Tree was adopted as a class… Show more
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