Statistical models for meal-level estimation of mass and energy intake using features derived from video observation and a chewing sensor

Accurate and objective assessment of energy intake remains an ongoing problem. We used features derived from annotated video observation and a chewing sensor to predict mass and energy intake during a meal without participant self-report. 30 participants each consumed 4 different meals in a laborato...

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Detalles Bibliográficos
Autores principales: Yang, Xin, Doulah, Abul, Farooq, Muhammad, Parton, Jason, McCrory, Megan A., Higgins, Janine A., Sazonov, Edward
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2019
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6328599/
https://www.ncbi.nlm.nih.gov/pubmed/30631094
http://dx.doi.org/10.1038/s41598-018-37161-x

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6328599/
https://www.ncbi.nlm.nih.gov/pubmed/30631094
http://dx.doi.org/10.1038/s41598-018-37161-x

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