Cargando…
Validation of a Deep Learning System for the Full Automation of Bite and Meal Duration Analysis of Experimental Meal Videos
Eating behavior can have an important effect on, and be correlated with, obesity and eating disorders. Eating behavior is usually estimated through self-reporting measures, despite their limitations in reliability, based on ease of collection and analysis. A better and widely used alternative is the...
Autores principales: | Konstantinidis, Dimitrios, Dimitropoulos, Kosmas, Langlet, Billy, Daras, Petros, Ioakimidis, Ioannis |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2020
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7020058/ https://www.ncbi.nlm.nih.gov/pubmed/31941145 http://dx.doi.org/10.3390/nu12010209 |
Ejemplares similares
-
The Effect of Food Unit Sizes and Meal Serving Occasions on Eating Behaviour Characteristics: Within Person Randomised Crossover Studies on Healthy Women
por: Langlet, Billy, et al.
Publicado: (2018) -
Formative Evaluation of a Smartphone App for Monitoring Daily Meal Distribution and Food Selection in Adolescents: Acceptability and Usability Study
por: Langlet, Billy, et al.
Publicado: (2020) -
Eating Behavior and Satiety With Virtual Reality Meals Compared With Real Meals: Randomized Crossover Study
por: Glympi, Alkyoni, et al.
Publicado: (2023) -
Artificial Intelligence Technologies for Sign Language
por: Papastratis, Ilias, et al.
Publicado: (2021) -
Food Intake during School Lunch Is Better Explained by Objectively Measured Eating Behaviors than by Subjectively Rated Food Taste and Fullness: A Cross-Sectional Study
por: Fagerberg, Petter, et al.
Publicado: (2019)