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The Ethereal
Towards Emotion Recognition: A Persistent Entropy Application
November 21, 2018 ยท Declared Dead ยท ๐ International Workshop on Computational Topology in Image Context
"No code URL or promise found in abstract"
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Authors
R. Gonzalez-Diaz, E. Paluzo-Hidalgo, J. F. Quesada
arXiv ID
1811.09607
Category
cs.SD: Sound
Cross-listed
cs.CL,
eess.AS
Citations
5
Venue
International Workshop on Computational Topology in Image Context
Last Checked
3 months ago
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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