Identifying relevant EEG channels for subject-independent emotion recognition using attention network layers

These results emphasize the importance of capturing relevant electrical activity from these EEG channels, thereby facilitating the prediction of emotions evoked by audiovisual stimuli in subject-independent approaches.

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Publication Details

Journal
Frontiers in Psychiatry
Published
2025-02-10
DOI
https://doi.org/10.3389/fpsyt.2025.1494369
Citations
15
Primary Topic
EEG and Brain-Computer Interfaces
Type
article
Field-Weighted Citation Impact
21.47

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article

Identifying relevant EEG channels for subject-independent emotion recognition using attention network layers

Camilo E. Valderrama, Anshul Sheoran
15 citations
Frontiers in Psychiatry
EEG and Brain-Computer Interfaces
21.47
article

Identifying relevant EEG channels for subject-independent emotion recognition using attention network layers

Camilo E. Valderrama, Anshul Sheoran
article en
15 citations

Abstract

These results emphasize the importance of capturing relevant electrical activity from these EEG channels, thereby facilitating the prediction of emotions evoked by audiovisual stimuli in subject-independent approaches.

Frontiers in PsychiatryVol. 16
University of Calgary (CA), The University of Winnipeg (CA)
Natural Sciences and Engineering Research Council of Canada
Quality Education
Openalex Percentile: Top 0%
EEG and Brain-Computer Interfaces
21.47
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