Fusion of Motif- and Spectrum-Related Features for Improved EEG-Based Emotion Recognition
Joint Authors
Tiwari, Abhishek
Falk, Tiago H.
Source
Computational Intelligence and Neuroscience
Issue
Vol. 2019, Issue 2019 (31 Dec. 2019), pp.1-14, 14 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2019-01-17
Country of Publication
Egypt
No. of Pages
14
Main Subjects
Abstract EN
Emotion recognition is a burgeoning field allowing for more natural human-machine interactions and interfaces.
Electroencephalography (EEG) has shown to be a useful modality with which user emotional states can be measured and monitored, particularly primitives such as valence and arousal.
In this paper, we propose the use of ordinal pattern analysis, also called motifs, for improved EEG-based emotion recognition.
Motifs capture recurring structures in time series and are inherently robust to noise, thus are well suited for the task at hand.
Several connectivity, asymmetry, and graph-theoretic features are proposed and extracted from the motifs to be used for affective state recognition.
Experiments with a widely used public database are conducted, and results show the proposed features outperforming benchmark spectrum-based features, as well as other more recent nonmotif-based graph-theoretic features and amplitude modulation-based connectivity/asymmetry measures.
Feature and score-level fusion suggest complementarity between the proposed and benchmark spectrum-based measures.
When combined, the fused models can provide up to 9% improvement relative to benchmark features alone and up to 16% to nonmotif-based graph-theoretic features.
American Psychological Association (APA)
Tiwari, Abhishek& Falk, Tiago H.. 2019. Fusion of Motif- and Spectrum-Related Features for Improved EEG-Based Emotion Recognition. Computational Intelligence and Neuroscience،Vol. 2019, no. 2019, pp.1-14.
https://search.emarefa.net/detail/BIM-1129405
Modern Language Association (MLA)
Tiwari, Abhishek& Falk, Tiago H.. Fusion of Motif- and Spectrum-Related Features for Improved EEG-Based Emotion Recognition. Computational Intelligence and Neuroscience No. 2019 (2019), pp.1-14.
https://search.emarefa.net/detail/BIM-1129405
American Medical Association (AMA)
Tiwari, Abhishek& Falk, Tiago H.. Fusion of Motif- and Spectrum-Related Features for Improved EEG-Based Emotion Recognition. Computational Intelligence and Neuroscience. 2019. Vol. 2019, no. 2019, pp.1-14.
https://search.emarefa.net/detail/BIM-1129405
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1129405