TPRO-NET: an EEG-based emotion recognition method reflecting subtle changes in emotion

• Published in: Scientific reports Vol. 14; no. 1; pp. 13491 - 18
• Main Authors: Zhang, Xinyi, Cheng, Xiankai, Liu, Hui
• Format: Journal Article
• Language: English
• Published: London Nature Publishing Group UK 12.06.2024; Nature Publishing Group; Nature Portfolio
• Subjects: 639/166/985; 639/705/1046; 639/705/117; Adult; Arousal; Arousal - physiology; Convolutional neural network; Datasets; Dominance; EEG; Electroencephalogram; Electroencephalography; Electroencephalography - methods; Emotion recognition; Emotions; Emotions - physiology; Entropy; Female; Humanities and Social Sciences; Humans; Male; Minuscule emotional changes; multidisciplinary; Neural networks; Neural Networks, Computer; Science; Science (multidisciplinary); Transformer; Emotion recognition; Minuscule emotional changes; Transformer; Electroencephalogram; Convolutional neural network

Emotion recognition based on Electroencephalogram (EEG) has been applied in various fields, including human–computer interaction and healthcare. However, for the popular Valence-Arousal-Dominance emotion model, researchers often classify the dimensions into high and low categories, which cannot refl...