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The Emotion Detection Tools in the Museum Education EmoDeM Project
Conference proceeding   Open access   Peer reviewed

The Emotion Detection Tools in the Museum Education EmoDeM Project

Paola Puma and Giuseppe Nicastro
Representation Challenges: Augmented Reality and Artificial Intelligence in Cultural Heritage and Innovative Design Domain, pp.315-319
REAACH-ID SYMPOSIUM 2021 Representation for Enhancement and management through Augmented reality and Artificial intelligence: Cultural Heritage and Innovative Design (Padova, 12/10/2021–13/10/2021)
2021
Handle:
https://hdl.handle.net/10863/53947

Abstract

Digital heritage museum education Image classification Emotion detection Machine Learning
Facial recognition technologies, already used nowadays in many applications, i.e. to support security systems in sensitive buildings, could in a short time achieve widespread use also in others sectors including culture institutions like museums or art galleries. The state of the art in the field of facial recognition allows discriminating factors not only related to the essential somatic characteristics of a person to recognize, with an ever–greater degree of precision, the emotional reactions that may occur on person’s face. The article intends to describe the research’s EmoDeM experimentation in the museum environment in order to provide a tool capable of interpreting the reaction of a user in front of an artwork and propose a responsive information content coherent what is manifested through facial expressions.
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