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, IV and Instrument Stands traditional methods ignore the correlation information between different channels, and cannot fully capture the long-term dep