Evaluation of the Visual Stimuli on Personal Thermal Comfort Perception in Real and Virtual Environments Using Machine Learning Approaches

Evaluation of the Visual Stimuli on Personal Thermal Comfort Perception in Real and Virtual Environments Using Machine Learning Approaches

Personal Thermal Comfort models consider personal user feedback as a target value. The growing development of integrated “smart” devices following the concept of the Internet of Things and data-processing algorithms based on Machine Learning techniques allows developing promising...

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Bibliographic Details
Main Authors: Francesco Salamone, Alice Bellazzi, Lorenzo Belussi, Gianfranco Damato, Ludovico Danza, Federico Dell’Aquila, Matteo Ghellere, Valentino Megale, Italo Meroni, Walter Vitaletti
Format: Article
Language:English
Published: MDPI AG 2020-03-01
Series:Sensors
Subjects:
indoor thermal comfort
personal thermal comfort perception
wearable
internet of things (iot)
machine learning
virtual reality
Online Access:https://www.mdpi.com/1424-8220/20/6/1627

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