The work described in this paper represents the study and the attempt to make a contribution to one of the most stimulating and promising sectors in the field of emotion recognition, which is health care management. Multidisciplinary studies in artificial intelligence, augmented reality and psychology stressed out the importance of emotions in communication and awareness. The intent is to recognize human emotions, processing images streamed in real-time from a mobile device. The adopted techniques involve the use of open source libraries of visual recognition and machine learning approaches based on convolutional neural networks (CNN).

EmEx, a tool for automated emotive face recognition using convolutional neural networks / Riganelli, Matteo; Franzoni, Valentina; Gervasi, Osvaldo; Tasso, Sergio. - ELETTRONICO. - 10406:(2017), pp. 692-704. ((Intervento presentato al convegno 17th International Conference on Computational Science and Its Applications, ICCSA 2017 tenutosi a Trieste; Italy nel July 3-6, 2017 [10.1007/978-3-319-62398-6_49].

EmEx, a tool for automated emotive face recognition using convolutional neural networks

Franzoni, Valentina
;
2017

Abstract

The work described in this paper represents the study and the attempt to make a contribution to one of the most stimulating and promising sectors in the field of emotion recognition, which is health care management. Multidisciplinary studies in artificial intelligence, augmented reality and psychology stressed out the importance of emotions in communication and awareness. The intent is to recognize human emotions, processing images streamed in real-time from a mobile device. The adopted techniques involve the use of open source libraries of visual recognition and machine learning approaches based on convolutional neural networks (CNN).
9783319623979
978-3-319-62398-6
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11573/1020470
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