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JOURNAL[J24]
Real-time affect detection in virtual reality: a technique based on a three-dimensional model of affect and EEG signals
Pinilla, A., Voigt-Antons, J.-N., Garcia, J. A., Raffe, W. & Möller, S.
Front. Virtual Real. 3:964754
Abstract
This article introduces a method for detecting affective states in real time within virtual reality environments. Combining EEG signals with a three-dimensional model of affect, the study demonstrates the feasibility of emotion recognition to enhance adaptive VR systems.
Record
- Reference
[J24]in the Publikationsverzeichnis - TypeJournal article
- Year2023
- Research linePsychophysiology & Behavioural Measurement
- Identifier
2023-01-05-J24
BibTeX
@article{voigtantons2023j24,
author = {Pinilla, A. and Voigt-Antons, J.-N. and Garcia, J. A. and Raffe, W. and Möller, S.},
title = {Real-time affect detection in virtual reality: a technique based on a three-dimensional model of affect and EEG signals},
year = {2023},
journal = {Front. Virtual Real. 3:964754},
doi = {10.3389/frvir.2022.964754},
}