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Automatic identification of the number of food items in a meal using clustering techniques based on the monitoring of swallowing and chewing
The number of distinct foods consumed in a meal is of significant clinical concern in the study of obesity and other eating disorders. This paper proposes the use of information contained in chewing and swallowing sequences for meal segmentation by food types. Data collected from experiments of 17 v...
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| Autores principales: | , , , , |
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| Formato: | Artigo |
| Lenguaje: | Inglês |
| Publicado: |
2011
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| Materias: | |
| Acceso en línea: | https://ncbi.nlm.nih.gov/pmc/articles/PMC3484889/ https://ncbi.nlm.nih.gov/pubmed/23125872 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1016/j.bspc.2011.11.004 |
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