E2ENNet: An end-to-end neural network for emotional brain-computer interface

• Published in: Frontiers in computational neuroscience Vol. 16; p. 942979
• Main Authors: Han, Zhichao, Chang, Hongli, Zhou, Xiaoyan, Wang, Jihao, Wang, Lili, Shao, Yongbin
• Format: Journal Article
• Language: English
• Published: Lausanne Frontiers Research Foundation 12.08.2022; Frontiers Media S.A
• Subjects: Accuracy; Brain; Classification; Computer applications; Datasets; Deep learning; depthwise separable convolution; EEG; Electrodes; electroencephalogram (EEG); Electroencephalography; emotional brain-computer interface; Emotions; Experiments; Implants; long short-term memory; Mental disorders; Neural networks; neurocognitive; Neuroscience

Objectve: Emotional brain-computer interface can recognize or regulate human emotions for workload detection and auxiliary diagnosis of mental illness. However, the existing EEG emotion recognition is carried out step by step in feature engineering and classification, resulting in high engineering c...