Emotion Recognition From Multi-Channel EEG Signals by Exploiting the Deep Belief-Conditional Random Field Framework
Recently, much attention has been attracted to automatic emotion recognition based on multi-channel electroencephalogram (EEG) signals, with the rapid development of machine learning methods.However, traditional methods ignore the correlation information between different Tortilla Presses channels, and cannot fully capture the long-term dependencie