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oaioai:idus.us.es:11441/87338

Towards Emotion Recognition: A Persistent Entropy Application

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Publication date
1 January 2019
Publisher
Springer
Doi

    Abstract

    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)

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    idUS. Depósito de Investigación Universidad de Sevilla

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    Last time updated on 23/07/2019

    This paper was published in idUS. Depósito de Investigación Universidad de Sevilla.

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