Abstract:In the area of brain-computer interface, Intelligent emotion detection based on Electroencephalography brain signals is of great significance. Currently, deep learning algorithms like DNN, CNN, and SVM have significantly improved detection and prediction accuracy in many fields. However, deep learning and SVM have certain limitations in perceiving global dependence. In the present scenario, most of the deep learning models rely on pre-processing, extracting features, and network topology but still are not suff… Show more
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