Emotion Recognition Using Hierarchical Spatiotemporal Electroencephalogram Information from Local to Global Brain Regions

Emotion Recognition Using Hierarchical Spatiotemporal Electroencephalogram Information from Local to Global Brain Regions

To understand human emotional states, local activities in various regions of the cerebral cortex and the interactions among different brain regions must be considered. This paper proposes a hierarchical emotional context feature learning model that improves multichannel electroencephalography (EEG)-...

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Bibliografiska uppgifter
Huvudupphovsmän: Dong-Ki Jeong, Hyoung-Gook Kim, Jin-Young Kim
Materialtyp: Artikel
Språk:English
Publicerad: MDPI AG 2023-09-01
Serie:Bioengineering
Ämnen:
emotion recognition
electroencephalography
hierarchical spatiotemporal features
self-attention
bidirectional gated recurrent unit
Länkar:https://www.mdpi.com/2306-5354/10/9/1040

Internet

https://www.mdpi.com/2306-5354/10/9/1040

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