Improving Dietary Assessment Methods Using the Cell Phone and Digital Imaging

使用手机和数字成像改进饮食评估方法

• 批准号: 8473465
• 负责人: CAROL J BOUSHEY
• 金额: $ 31.8万
• 依托单位: UNIVERSITY OF HAWAII AT MANOA
• 依托单位国家: 美国
• 财政年份: 2007
• 资助国家: 美国
• 起止时间: 2007-08-10 至 2013-07-31
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/8473465
• 关键词: Improving; Dietary; Assessment; Methods; Using

DESCRIPTION (provided by applicant): Dietary intake provides some of the most valuable insights for mounting intervention programs for prevention. However, accurate assessment of diet is problematic. Immerging technology in mobile- telephones (cell phones) with higher resolution pictures, improved memory capacity, and faster processors, allow these devices to process information not previously possible. This project addresses several objectives of RFA-CA-07-032 by using cell phones to capture both visual and recorded detail that is electronically submitted to the researcher; eases respondent burden; and provides accurate estimates of nutrient, food, and supplement intakes. To adequately address these challenges, the research team assembled represents expertise in electrical engineering, computers, information science, nutritional epidemiology, stable isotopes, and statistics. Our goal is to develop, implement, and evaluate a mobile telephone food record (mpFR) that will translate to an accurate account of daily food and nutrient intake among adults. Our first steps include development of imaging software for use with digital photographs that will estimate quantities of foods consumed, modification of the FNDDS nutrient database, and development of user-friendly interfaces. Mobile telephones are widely used throughout the world and can provide a unique mechanism for collecting dietary information that reduces burden on record keepers. Pictures of food can be marked with a variety of input methods that link the item for image processing and analysis for quantification of food consumed. We plan to recruit a sample of adults to consume meals of precisely known composition while using the mpFR under controlled conditions to aid with quantifying the error associated with the food and nutrient output. The users of the mpFR under these controlled conditions will provide feedback for improving the accuracy and ease of use of the mpFR. A convenient sample of 103 free-living, healthy adults between 21 and 70 y will participate in the validation phase where total energy expenditure will be measured over 7 days with doubly labeled water and compared to total energy intake over the same 7 days as estimated from the mpFR. It is anticipated that the outcome of this project will be an innovate tool that can be used in population and clinical based studies to provide accurate dietary intake data.

描述（由申请人提供）： 饮食摄入量为开展预防干预计划提供了一些最有价值的见解。然而，准确评估饮食是有问题的。移动的电话（手机）中的嵌入式技术具有更高分辨率的图像、改进的存储容量和更快的处理器，允许这些设备处理以前不可能的信息。该项目通过使用手机捕获以电子方式提交给研究人员的视觉和记录细节来解决RFA-CA-07-032的几个目标;减轻应答负担;并提供营养素，食物和补充剂摄入量的准确估计。为了充分应对这些挑战，研究团队聚集了电气工程，计算机，信息科学，营养流行病学，稳定同位素和统计学方面的专业知识。我们的目标是开发、实施和评估一个移动的电话食物记录（mpFR），它将转化为成年人每日食物和营养摄入的准确记录。我们的第一步包括开发用于数字照片的成像软件，以估计食物消耗量，修改FNDDS营养数据库，并开发用户友好的界面。移动的电话在世界各地广泛使用，可以提供一种独特的收集饮食信息的机制，从而减轻记录保存者的负担。食物的图片可以用各种输入方法标记，这些输入方法将物品链接起来以进行图像处理和分析，从而量化所消耗的食物。我们计划招募一个成年人样本，让他们食用精确已知成分的膳食，同时在受控条件下使用mpFR，以帮助量化与食物和营养素输出相关的误差。在这些受控条件下，mpFR的用户将提供反馈，以提高mpFR的准确性和易用性。一个方便的样本103自由生活，健康的成年人之间的21和70岁将参与验证阶段，总能量消耗将测量7天内与双标记水，并比较总能量摄入量在相同的7天从mpFR估计。预计该项目的成果将成为一种创新工具，可用于人口和临床研究，以提供准确的饮食摄入量数据。

项目成果

Use of technology in children's dietary assessment.

• DOI: 10.1038/ejcn.2008.65
• 发表时间: 2009-02
• 期刊: European journal of clinical nutrition
• 影响因子: 4.7

Low Complexity Image Quality Measures for Dietary Assessment Using Mobile Devices.

• DOI: 10.1109/ism.2011.64
• 发表时间: 2011-12
• 期刊: ISM ... : ... IEEE International Symposium on Multimedia ... : proceedings. IEEE International Symposium on Multimedia
• 作者: Xu C;Khanna N;Boushey CJ;Delp EJ
• 通讯作者: Delp EJ

COMBINING GLOBAL AND LOCAL FEATURES FOR FOOD IDENTIFICATION IN DIETARY ASSESSMENT.

• DOI: 10.1109/icip.2011.6115809
• 发表时间: 2011-09
• 期刊: Proceedings. International Conference on Image Processing
• 作者: Bosch M;Zhu F;Khanna N;Boushey CJ;Delp EJ
• 通讯作者: Delp EJ

A Method to Determine the Density of Foods using X-ray Imaging.

• DOI: 10.1016/j.jfoodeng.2015.03.012
• 发表时间: 2015-08-01
• 期刊: JOURNAL OF FOOD ENGINEERING
• 影响因子: 5.5
• 作者: Kelkar, Shivangi;Boushey, Carol J.;Okos, Martin
• 通讯作者: Okos, Martin

FOOD IMAGE ANALYSIS: THE BIG DATA PROBLEM YOU CAN EAT!

食品图像分析：您可以吃的大数据问题！

• DOI: 10.1109/acssc.2016.7869576
• 发表时间: 2016
• 期刊: Conference record. Asilomar Conference on Signals, Systems & Computers
• 作者: Wang,Yu;Fang,Shaobo;Liu,Chang;Zhu,Fengqing;Kerr,DeborahA;Boushey,CarolJ;Delp,EdwardJ
• 通讯作者: Delp,EdwardJ