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

Automating facial emotion recognition

Osvaldo Gervasi
Membro del Collaboration Group
;
Valentina Franzoni
Supervision
;
Sergio Tasso
Membro del Collaboration Group
2019

Abstract

The work described in this paper attempts to contribute to one of the most stimulating and promising sectors in the field of emotion recognition, which is health care. Multidisciplinary studies in artificial intelligence, augmented reality, and psychology stressed out the importance of emotions in communication and awareness. The intent is the recognition of human emotions, processing images streamed in real-time from a mobile device. The proposed techniques involve the use of open source libraries of visual recognition and machine learning approaches based on convolutional neural networks (CNN).
2019
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11391/1447966
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