Classification of Complex Emotions Using EEG and Virtual Environment: Proof of Concept and Therapeutic Implication

Classification of Complex Emotions Using EEG and Virtual Environment: Proof of Concept and Therapeutic Implication

During the last decades, neurofeedback training for emotional self-regulation has received significant attention from scientific and clinical communities. Most studies have investigated emotions using functional magnetic resonance imaging (fMRI), including the real-time application in neurofeedback...

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Bibliographic Details
Main Authors: Bortolini, T. (Author), De Filippi, E. (Author), Deco, G. (Author), Melo, B.R.P (Author), Moll, J. (Author), Tierra-Criollo, C.J (Author), Wolter, M. (Author)
Format: Article
Language:English
Published: Frontiers Media S.A. 2021
Subjects:
article
classification
controlled study
cross validation
electroencephalography
emotion
emotions
human
machine-learning
mental stress
multimodal virtual scenario
neurofeedback
neuro-feedback
pipeline
proof of concept
support vector machine
thinking
Online Access:View Fulltext in Publisher

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