Identifying relevant EEG channels for subject-independent emotion recognition using attention network layers
Bibliographic Data
| ID | 15525947 |
|---|---|
| Authors | Camilo E Valderrama (0000-0001-5333-8265, University of Calgary, corresponding author), Anshul Sheoran (University of Winnipeg) |
| Year | 2025 |
| Volume | 16 |
| Pages | 1494369-1494369 |
| Publication date | 2025-02-10 |
| Open Access | Yes |
| Type | ARTICLE |
| Venue | Frontiers in Psychiatry (JOURNAL) |
| Journal identifiers | ISSN: 1664-0640 • E-ISSN: 1664-0640 |
| Publisher | Frontiers Media (PUBLISHER • CH) |
| DOI | 10.3389/fpsyt.2025.1494369 |
| PMID | 39995952 |
| OpenAlex | W4407343854 |
| Language | EN |
| References cited | 5 |
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
Cognitive psychology · Electroencephalography · Emotion recognition · Mechanism (biology · Pattern recognition (psychology · Speech recognition · Subject (documents · Computer Science · EEG and Brain-Computer Interfaces · Emotion and Mood Recognition · Neural and Behavioral Psychology Studies · Neuroscience · Psychology · Artificial Intelligence
| Highly cited | No |
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