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

BackgroundElectrical activity recorded with electroencephalography (EEG) enables the development of predictive models for emotion recognition. These models can be built using two approaches: subject-dependent and subject-independent. Although subject-independent models offer greater practical utilit...

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Bibliografski detalji

Glavni autori:	Camilo E. Valderrama, Anshul Sheoran
Format:	Artigo
Jezik:	Inglês
Izdano:	Frontiers Media S.A. 2025-02-01
Serija:	Frontiers in Psychiatry
Teme:	emotion recognition electroencephalogram affective computing deep learning attention mechanism EEG signal processing
Online pristup:	https://www.frontiersin.org/articles/10.3389/fpsyt.2025.1494369/full
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