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2018 | OriginalPaper | Buchkapitel

Developing a Chinese Food Nutrient Data Analysis System for Precise Dietary Intake Management

verfasst von : Xiaowei Xu, Li Hou, Zhen Guo, Ju Wang, Jiao Li

Erschienen in: Big Data – BigData 2018

Verlag: Springer International Publishing

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Abstract

A big mount of dietary data can be recorded in the daily life with the development of Internet of Things (e.g., RFID-equipped food carriers and food vending machines). Via monitoring and analyzing of personal dietary, it can provide valuable information for disease diagnosis, body weight control, and dietary habit management. The big data analysis benefits for patients, dieters, nutritionists and individuals who concern their health. While various techniques have been used for dietary monitoring in clinical trials and user studies, they are not ready for daily use. Existing solutions either require tedious manual recording or may impede normal daily activities. In this paper, we designed a smart big data framework using RFID technology to analyze the nutrition intake from dietary every day. The framework is capable to record Chinese food dietary information efficiently and effectively. It is promising for individuals and dietarians to set up personalized nutrient plan in the future.

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Titel: Developing a Chinese Food Nutrient Data Analysis System for Precise Dietary Intake Management
verfasst von: Xiaowei Xu
Li Hou
Zhen Guo
Ju Wang
Jiao Li
Verlag: Springer International Publishing
Buch: Big Data – BigData 2018
Print ISBN: 978-3-319-94300-8

Electronic ISBN: 978-3-319-94301-5

Copyright-Jahr: 2018
DOI: https://doi.org/10.1007/978-3-319-94301-5_30

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