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Automatic emotion classification: An approach using Eulerian Video Magnification and Artificial Neural Networks

Vitor Quaresma S. de Hollanda Ramos1; Ana Paula G. S. de Almeida2; Carla M. C. C. e Koike1; Dianne M. Viana2; Flavio de Barros Vidal1

1 Department of Computer Science, University of Brasilia; 2 Department of Mechanical Engineering, University of Brasilia

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Resumo

Researches using facial emotion detection, which involves making a computer being able to perceive the emotional state of a human user. In this work, we propose an initial approach to develop an automatic emotion classification using Eulerian Video Magnification and Artificial Neural Networks (ANN). The proposed approach creates a descriptor vector from processed Eulerian Magnification videos and uses an ANN classification to achieve a suitable accuracy rate for isolated and combined emotions.

Palavras-chave: Emotion recognition; Eulerian Magnification; Artificial Neural Network

Como citar

Vitor Quaresma S. de Hollanda Ramos; Ana Paula G. S. de Almeida; Carla M. C. C. e Koike; Dianne M. Viana; Flavio de Barros Vidal. “Automatic emotion classification: An approach using Eulerian Video Magnification and Artificial Neural Networks”. XXI Congresso Brasileiro de Automática. CBA2016. 2016. Código: CBA2016-0036