Cross-Sensory EEG Emotion Recognition with Filter Bank Riemannian Feature and Adversarial Domain Adaptation

Cross-Sensory EEG Emotion Recognition with Filter Bank Riemannian Feature and Adversarial Domain Adaptation

Emotion recognition is crucial in understanding human affective states with various applications. Electroencephalography (EEG)—a non-invasive neuroimaging technique that captures brain activity—has gained attention in emotion recognition. However, existing EEG-based emotion recognition systems are l...

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Bibliographic Details
Main Authors: Chenguang Gao, Hirotaka Uchitomi, Yoshihiro Miyake
Format: Article
Language:English
Published: MDPI AG 2023-09-01
Series:Brain Sciences
Subjects:
EEG emotion recognition
cross-sensory emotion recognition
Riemannian feature extraction
adversarial domain adaptation
Online Access:https://www.mdpi.com/2076-3425/13/9/1326

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