Symmetric Convolutional and Adversarial Neural Network Enables Improved Mental Stress Classification From EEG

• Päätekijät: Ruiqi Fu (Tekijä), Yi-Feng Chen (Tekijä), Yongqi Huang (Tekijä), Shuping Chen (Tekijä), Feiyan Duan (Tekijä), Jiewei Li (Tekijä), Jianhui Wu (Tekijä), Dongmei Jiang (Tekijä), Junling Gao (Tekijä), Jason Gu (Tekijä), Mingming Zhang (Tekijä), Chunqi Chang (Tekijä)
• Aineistotyyppi: Kirja
• Julkaistu: IEEE, 2022-01-01T00:00:00Z.
• Aiheet: article
• Linkit: Connect to this object online.

Electroencephalography (EEG) is widely used for mental stress classification, but effective feature extraction and transfer across subjects remain challenging due to its variability. In this paper, a novel deep neural network combining convolutional neural network (CNN) and adversarial theory, named...