Improved Deep Feature Learning by Synchronization Measurements for Multi-Channel EEG Emotion Recognition

Figure 5

PCA network-based deep learning model structured from a simple deep architecture for emotion recognition. The model consists of PCA convolution layers and a nonlinear processing layer to learn high-level features from MIC gray images.