Towards Emotion Recognition: A Persistent Entropy Application

21 Nov 2018  ·  R. 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). read more

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