A novel EEG decoding method for a facial-expression-based BCI system using the combined convolutional neural network and genetic algorithm

• Published in: Frontiers in neuroscience Vol. 16; p. 988535
• Main Authors: Li, Rui, Liu, Di, Li, Zhijun, Liu, Jinli, Zhou, Jincao, Liu, Weiping, Liu, Bo, Fu, Weiping, Alhassan, Ahmad Bala
• Format: Journal Article
• Language: English
• Published: Lausanne Frontiers Research Foundation 13.09.2022; Frontiers Media S.A
• Subjects: Accuracy; Algorithms; Brain; brain computer interface; Classification; Computer applications; convolutional neural network (CNN); Deep learning; Discriminant analysis; EEG; Electroencephalography; facial expression; genetic algorithm; Implants; Methods; Neural networks; Neuroscience; Optimization; Rehabilitation; Wavelet transforms

Multiple types of brain-control systems have been applied in the field of rehabilitation. As an alternative scheme for balancing user fatigue and the classification accuracy of brain–computer interface (BCI) systems, facial-expression-based brain control technologies have been proposed in the form o...