Real-time affect detection in virtual reality: a technique based on a three-dimensional model of affect and EEG signals

Real-time affect detection in virtual reality: a technique based on a three-dimensional model of affect and EEG signals

This manuscript explores the development of a technique for detecting the affective states of Virtual Reality (VR) users in real-time. The technique was tested with data from an experiment where 18 participants observed 16 videos with emotional content inside a VR home theater, while their electroen...

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Bibliographic Details
Main Authors: Andres Pinilla, Jan-Niklas Voigt-Antons, Jaime Garcia, William Raffe, Sebastian Möller
Format: Article
Language:English
Published: Frontiers Media S.A. 2023-01-01
Series:Frontiers in Virtual Reality
Subjects:
affect detection
electroencephalography
virtual reality
emotion
affective computing
supervised learning
Online Access:https://www.frontiersin.org/articles/10.3389/frvir.2022.964754/full

Internet

https://www.frontiersin.org/articles/10.3389/frvir.2022.964754/full

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