SDNov 21, 2018
Towards Emotion Recognition: A Persistent Entropy ApplicationR. Gonzalez-Diaz, E. Paluzo-Hidalgo, J. F. Quesada
Emotion recognition and classification is a very active area of research. In this paper, we present a first approach to emotion classification using persistent entropy and support vector machines. A topology-based model is applied to obtain a single real number from each raw signal. These data are used as input of a support vector machine to classify signals into 8 different emotions (calm, happy, sad, angry, fearful, disgust and surprised).