Visualization and Semantic Labeling of Mood States Based on Time-Series Features of Eye Gaze and Facial Expressions by Unsupervised Learning

This study is intended to develop a stress measurement and visualization system for stress management in terms of simplicity and reliability. We present a classification and visualization method of mood states based on unsupervised machine learning (ML) algorithms. Our proposed method attempts to ex...

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Detalles Bibliográficos
Autores principales: Madokoro, Hirokazu, Nix, Stephanie, Sato, Kazuhito
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9408575/
https://www.ncbi.nlm.nih.gov/pubmed/36011150
http://dx.doi.org/10.3390/healthcare10081493

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9408575/
https://www.ncbi.nlm.nih.gov/pubmed/36011150
http://dx.doi.org/10.3390/healthcare10081493

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