Prediction of Continuous Emotional Measures through Physiological and Visual Data

Prediction of Continuous Emotional Measures through Physiological and Visual Data

The affective state of a person can be measured using arousal and valence values. In this article, we contribute to the prediction of arousal and valence values from various data sources. Our goal is to later use such predictive models to adaptively adjust virtual reality (VR) environments and help...

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Bibliographic Details
Main Authors: Itaf Omar Joudeh, Ana-Maria Cretu, Stéphane Bouchard, Synthia Guimond
Format: Article
Language:English
Published: MDPI AG 2023-06-01
Series:Sensors
Subjects:
affect recognition
affective state
signal processing
image processing
face detection
machine learning
Online Access:https://www.mdpi.com/1424-8220/23/12/5613

Internet

https://www.mdpi.com/1424-8220/23/12/5613

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