Using Machine Learning and Smartphone and Smartwatch Data to Detect Emotional States and Transitions: Exploratory Study

BACKGROUND: Emotional state in everyday life is an essential indicator of health and well-being. However, daily assessment of emotional states largely depends on active self-reports, which are often inconvenient and prone to incomplete information. Automated detection of emotional states and transit...

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Detalles Bibliográficos
Autores principales: Sultana, Madeena, Al-Jefri, Majed, Lee, Joon
Formato: Online Artículo Texto
Lenguaje:English
Publicado: JMIR Publications 2020
Materias:
Original Paper
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7584158/
https://www.ncbi.nlm.nih.gov/pubmed/32990638
http://dx.doi.org/10.2196/17818

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7584158/
https://www.ncbi.nlm.nih.gov/pubmed/32990638
http://dx.doi.org/10.2196/17818

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