Cargando…
Automatic Count of Bites and Chews From Videos of Eating Episodes
Methods for measuring of eating behavior (known as meal microstructure) often rely on manual annotation of bites, chews, and swallows on meal videos or wearable sensor signals. The manual annotation may be time consuming and erroneous, while wearable sensors may not capture every aspect of eating (e...
Autores principales: | HOSSAIN, DELWAR, GHOSH, TONMOY, SAZONOV, EDWARD |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
2020
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7977969/ https://www.ncbi.nlm.nih.gov/pubmed/33747674 http://dx.doi.org/10.1109/access.2020.2998716 |
Ejemplares similares
-
Automatic Measurement of Chew Count and Chewing Rate during Food Intake
por: Farooq, Muhammad, et al.
Publicado: (2016) -
Body mass index and variability in meal duration and association with rate of eating
por: Simon, Stacey L., et al.
Publicado: (2022) -
Effect of Gradually Reduced Portion Size Estimation Training on Portion Size and Daily Energy Intake Estimation Accuracy
por: Liao, Sarah, et al.
Publicado: (2022) -
Improvement of Methodology for Manual Energy Intake Estimation From Passive Capture Devices
por: Pan, Zhaoxing, et al.
Publicado: (2022) -
Estimation of Plate and Bowl Dimensions for Food Portion Size Assessment in a Wearable Sensor System
por: Raju, Viprav B., et al.
Publicado: (2023)