Factor Analysis for Finding Invariant Neural Descriptors of Human Emotions
Joint Authors
Pereira, Vitor
Tavares, Filipe
Mihaylova, Petya
Georgieva, Petia
Mladenov, Valeri
Source
Issue
Vol. 2018, Issue 2018 (31 Dec. 2018), pp.1-8, 8 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2018-03-19
Country of Publication
Egypt
No. of Pages
8
Main Subjects
Abstract EN
A major challenge in decoding human emotions from electroencephalogram (EEG) data is finding representations that are invariant to inter- and intrasubject differences.
Most of the previous studies are focused in building an individual discrimination model for every subject (subject dependent model).
Building subject-independent models is a harder problem due to the high data variability between different subjects and different experiments with the same subject.
This paper explores, for the first time, the Factor Analysis as an efficient technique to extract temporal and spatial EEG features suitable to build brain-computer interface for decoding human emotions across various subjects.
Our findings show that early waves (temporal window of 200–400 ms after the stimulus onset) carry more information about the valence of the emotion.
Also, spatial location of features, with a stronger impact on the emotional valence, occurs in the parietal and occipital regions of the brain.
All discrimination models (NN, SVM, kNN, and RF) demonstrate better discrimination rate of the positive valence.
These results match closely experimental psychology hypothesis that, during early periods after the stimulus presentation, the brain response—to images with highly positive valence—is stronger.
American Psychological Association (APA)
Pereira, Vitor& Tavares, Filipe& Mihaylova, Petya& Mladenov, Valeri& Georgieva, Petia. 2018. Factor Analysis for Finding Invariant Neural Descriptors of Human Emotions. Complexity،Vol. 2018, no. 2018, pp.1-8.
https://search.emarefa.net/detail/BIM-1135469
Modern Language Association (MLA)
Pereira, Vitor…[et al.]. Factor Analysis for Finding Invariant Neural Descriptors of Human Emotions. Complexity No. 2018 (2018), pp.1-8.
https://search.emarefa.net/detail/BIM-1135469
American Medical Association (AMA)
Pereira, Vitor& Tavares, Filipe& Mihaylova, Petya& Mladenov, Valeri& Georgieva, Petia. Factor Analysis for Finding Invariant Neural Descriptors of Human Emotions. Complexity. 2018. Vol. 2018, no. 2018, pp.1-8.
https://search.emarefa.net/detail/BIM-1135469
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1135469