EEG-SKDNet: A Self-Knowledge Distillation Model With Scaled Weights for Emotion Recognition From EEG Signals

EEG-SKDNet: A Self-Knowledge Distillation Model With Scaled Weights for Emotion Recognition From EEG Signals

Electroencephalogram-based emotion recognition has garnered increasing attention due to its potential in human–computer interaction and affective computing. While recent deep learning methods have achieved remarkable performance in this task, most approaches emphasize accuracy at the expe...

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Bibliographic Details
Main Authors: Thuong Duong Thi Mai, Duc-Quang Vu, Huy Nguyen Phuong, Trung-Nghia Phung
Format: Article
Language:English
Published: IEEE 2025-01-01
Series:IEEE Access
Subjects:
EEG-based emotion recognition
self-knowledge distillation
scaled-weights
deep learning
brain-computer interface
Online Access:https://ieeexplore.ieee.org/document/11106442/
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https://ieeexplore.ieee.org/document/11106442/

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