Emotion Recognition Algorithm Based on Neural Fuzzy Network and the Cloud Technology

Emotion recognition has been a popular topic of human-computer interaction and affective computing. In this paper, 2-D visual emotion recognition model is put forward which takes neural fuzzy network as the theoretical basis. The model is designed for make classification of four types of emotion-related voice signals. A high accuracy of 85% is realized by the model. It is noted that the model can identify sadness emotions effectively. The rate is up to as high as 100%. The algorithm is to be used for a cloud server.