Convolutional neural network facial emotion recognition method and system based on attention mechanism

The invention discloses a convolutional neural network facial emotion recognition method and system based on an attention mechanism, and the method comprises the steps: collecting face image data, and dividing the face image data into a training set and a test set according to a proportion; inputting the face image data in the training set into a convolutional neural network model for feature learning to obtain face emotion feature data; testing the convolutional neural network model in a test set, and optimizing parameters of the convolutional neural network model; inputting to-be-recognized face image data into the optimized convolutional neural network model to obtain an emotion classification result; according to the method, the change of the user emotion can be recognized, the accuracy of the user emotion recognition can be improved, the detection accuracy is improved through the face micro-expression action detection of the convolutional neural network by utilizing a plurality of convolution and pooling