HIGHLIGHTS
SUMMARY
A deep neural_network (DNN) was proposed for the channel selection and the classification of positive, neutral, and negative emotions, and the classification and recognition results based on four selected specific channels were better than the whole channels. In recent years, deep learning methods have been favored by more and more researchers, such as Convolutional Neural_Network (CNN), Recurrent Neural_Network (RNN), Generative Adversarial Network (GAN), Deep Belief Network (DBN), Artificial_Neural_Network (ANN), Long and Short Term Memory (LSTM), etc. Meanwhile, using an optimal channel set can improve the accuracy of emotion recognition for a single subject, and . . .
If you want to have access to all the content you need to log in!
Thanks :)
If you don't have an account, you can create one here.