A Visual Attentive Model for Discovering Patterns in Eye-Tracking Data—A Proposal in Cultural Heritage

In the Cultural Heritage (CH) context, art galleries and museums employ technology devices to enhance and personalise the museum visit experience. However, the most challenging aspect is to determine what the visitor is interested in. In this work, a novel Visual Attentive Model (VAM) has been propo...

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Bibliographic Details
Main Authors: Roberto Pierdicca, Marina Paolanti, Ramona Quattrini, Marco Mameli, Emanuele Frontoni
Format: Article
Language:English
Published: MDPI AG 2020-04-01
Series:Sensors
Subjects:
Online Access:https://www.mdpi.com/1424-8220/20/7/2101