• 文献检索
  • 文档翻译
  • 深度研究
  • 学术资讯
  • Suppr Zotero 插件Zotero 插件
  • 邀请有礼
  • 套餐&价格
  • 历史记录
应用&插件
Suppr Zotero 插件Zotero 插件浏览器插件Mac 客户端Windows 客户端微信小程序
定价
高级版会员购买积分包购买API积分包
服务
文献检索文档翻译深度研究API 文档MCP 服务
关于我们
关于 Suppr公司介绍联系我们用户协议隐私条款
关注我们

Suppr 超能文献

核心技术专利:CN118964589B侵权必究
粤ICP备2023148730 号-1Suppr @ 2026

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验

相似文献

1
An Overview of The Technology Assisted Dietary Assessment Project at Purdue University.普渡大学技术辅助膳食评估项目概述。
ISM. 2010:290-295. doi: 10.1109/ISM.2010.50.
2
Mobile Image Based Color Correction Using Deblurring.基于移动图像的去模糊色彩校正
Proc SPIE Int Soc Opt Eng. 2015 Feb 8;9401. doi: 10.1117/12.2083133. Epub 2015 Mar 12.
3
AN IMAGE ANALYSIS SYSTEM FOR DIETARY ASSESSMENT AND EVALUATION.一种用于饮食评估与评价的图像分析系统。
Proc Int Conf Image Proc. 2010:1853-1856. doi: 10.1109/ICIP.2010.5650848.
4
The Use of Mobile Devices in Aiding Dietary Assessment and Evaluation.移动设备在辅助饮食评估与评价中的应用。
IEEE J Sel Top Signal Process. 2010 Aug;4(4):756-766. doi: 10.1109/JSTSP.2010.2051471.
5
Technology-Assisted Dietary Assessment.技术辅助膳食评估
Proc SPIE Int Soc Opt Eng. 2008 Mar 20;6814:681411. doi: 10.1117/12.778616.
6
Use of technology in children's dietary assessment.技术在儿童饮食评估中的应用。
Eur J Clin Nutr. 2009 Feb;63 Suppl 1(Suppl 1):S50-7. doi: 10.1038/ejcn.2008.65.
7
Personal Dietary Assessment Using Mobile Devices.使用移动设备进行个人饮食评估。
Proc SPIE Int Soc Opt Eng. 2009 Jan 1;7246. doi: 10.1117/12.813556.
8
A COMPARISON OF FOOD PORTION SIZE ESTIMATION USING GEOMETRIC MODELS AND DEPTH IMAGES.使用几何模型和深度图像进行食物份量估计的比较
Proc Int Conf Image Proc. 2016 Sep;2016:26-30. doi: 10.1109/ICIP.2016.7532312. Epub 2016 Dec 8.
9
Accuracy and Cost-effectiveness of Technology-Assisted Dietary Assessment Comparing the Automated Self-administered Dietary Assessment Tool, Intake24, and an Image-Assisted Mobile Food Record 24-Hour Recall Relative to Observed Intake: Protocol for a Randomized Crossover Feeding Study.技术辅助膳食评估的准确性和成本效益:比较自动自我管理膳食评估工具Intake24和图像辅助移动食物记录24小时回忆法与观察摄入量的随机交叉喂养研究方案
JMIR Res Protoc. 2021 Dec 16;10(12):e32891. doi: 10.2196/32891.
10
Image Segmentation for Image-Based Dietary Assessment: A Comparative Study.基于图像的饮食评估中的图像分割:一项比较研究。
ISSCS 2013 (2013). 2013 Jul;2013. doi: 10.1109/ISSCS.2013.6651268. Epub 2013 Oct 31.

引用本文的文献

1
Surveying Nutrient Assessment with Photographs of Meals (SNAPMe): A Benchmark Dataset of Food Photos for Dietary Assessment.膳食照片中的营养评估调查 (SNAPMe):用于膳食评估的食物照片基准数据集。
Nutrients. 2023 Nov 30;15(23):4972. doi: 10.3390/nu15234972.
2
Estimation of Plate and Bowl Dimensions for Food Portion Size Assessment in a Wearable Sensor System.用于可穿戴传感器系统中食物份量大小评估的盘子和碗尺寸估计
IEEE Sens J. 2023 Mar 1;23(5):5391-5400. doi: 10.1109/jsen.2023.3235956. Epub 2023 Jan 24.
3
COVID-19 and Virtual Nutrition: A Pilot Study of Integrating Digital Food Models for Interactive Portion Size Education.COVID-19 与虚拟营养:整合数字食物模型进行互动分量教育的初步研究。
Nutrients. 2022 Aug 12;14(16):3313. doi: 10.3390/nu14163313.
4
FOODCAM: A Novel Structured Light-Stereo Imaging System for Food Portion Size Estimation.FOODCAM:一种用于估计食物份量的新型结构光-立体成像系统。
Sensors (Basel). 2022 Apr 26;22(9):3300. doi: 10.3390/s22093300.
5
Performance of the Digital Dietary Assessment Tool MyFoodRepo.数字饮食评估工具 MyFoodRepo 的性能。
Nutrients. 2022 Feb 1;14(3):635. doi: 10.3390/nu14030635.
6
A Comprehensive Survey of Image-Based Food Recognition and Volume Estimation Methods for Dietary Assessment.用于饮食评估的基于图像的食物识别和体积估计方法综合调查
Healthcare (Basel). 2021 Dec 3;9(12):1676. doi: 10.3390/healthcare9121676.
7
Effects of a Short-Term "Fat Adaptation with Carbohydrate Restoration" Diet on Metabolic Responses and Exercise Performance in Well-Trained Runners.短期“高脂肪适应加碳水化合物补充”饮食对训练有素跑步者代谢反应和运动表现的影响。
Nutrients. 2021 Mar 23;13(3):1033. doi: 10.3390/nu13031033.
8
Integration of an Image-Based Dietary Assessment Paradigm into Dietetic Training Improves Food Portion Estimates by Future Dietitians.将基于图像的膳食评估范式融入营养培训可提高未来营养师对食物份量的估计。
Nutrients. 2021 Jan 8;13(1):175. doi: 10.3390/nu13010175.
9
The development of food image detection and recognition model of Korean food for mobile dietary management.用于移动饮食管理的韩国食品图像检测与识别模型的开发
Nutr Res Pract. 2019 Dec;13(6):521-528. doi: 10.4162/nrp.2019.13.6.521. Epub 2019 Nov 21.
10
Assessment of Dietary Under-Reporting in Italian College Team Sport Athletes.评估意大利大学生团队运动运动员的饮食低报情况。
Nutrients. 2019 Jun 21;11(6):1391. doi: 10.3390/nu11061391.

本文引用的文献

1
Automatic portion estimation and visual refinement in mobile dietary assessment.移动饮食评估中的自动份量估计与视觉优化
Proc SPIE Int Soc Opt Eng. 2010 Jan 1;7533. doi: 10.1117/12.849051.
2
Personal Dietary Assessment Using Mobile Devices.使用移动设备进行个人饮食评估。
Proc SPIE Int Soc Opt Eng. 2009 Jan 1;7246. doi: 10.1117/12.813556.
3
The Use of Mobile Devices in Aiding Dietary Assessment and Evaluation.移动设备在辅助饮食评估与评价中的应用。
IEEE J Sel Top Signal Process. 2010 Aug;4(4):756-766. doi: 10.1109/JSTSP.2010.2051471.
4
Evidence-based development of a mobile telephone food record.基于证据的移动电话食物记录开发
J Am Diet Assoc. 2010 Jan;110(1):74-9. doi: 10.1016/j.jada.2009.10.010.
5
Prevalence of high body mass index in US children and adolescents, 2007-2008.2007-2008 年美国儿童和青少年中高身体质量指数的流行率。
JAMA. 2010 Jan 20;303(3):242-9. doi: 10.1001/jama.2009.2012. Epub 2010 Jan 13.
6
Use of technology in children's dietary assessment.技术在儿童饮食评估中的应用。
Eur J Clin Nutr. 2009 Feb;63 Suppl 1(Suppl 1):S50-7. doi: 10.1038/ejcn.2008.65.
7
Issues in dietary intake assessment of children and adolescents.儿童和青少年饮食摄入量评估中的问题。
Br J Nutr. 2004 Oct;92 Suppl 2:S213-22. doi: 10.1079/bjn20041169.
8
Longitudinal changes in the accuracy of reported energy intake in girls 10-15 y of age.10至15岁女孩报告的能量摄入量准确性的纵向变化。
Am J Clin Nutr. 2003 Sep;78(3):480-4. doi: 10.1093/ajcn/78.3.480.
9
Evaluation of dietary assessment instruments in adolescents.青少年膳食评估工具的评估
Curr Opin Clin Nutr Metab Care. 2003 Sep;6(5):557-62. doi: 10.1097/00075197-200309000-00009.
10
Biomarkers of nutritional exposure and nutritional status: an overview.营养暴露和营养状况的生物标志物:概述
J Nutr. 2003 Mar;133(3):873S-874S. doi: 10.1093/jn/133.3.873S.

普渡大学技术辅助膳食评估项目概述。

An Overview of The Technology Assisted Dietary Assessment Project at Purdue University.

作者信息

Khanna Nitin, Boushey Carol J, Kerr Deborah, Okos Martin, Ebert David S, Delp Edward J

机构信息

School of Electrical and Computer Engineering Purdue University, West Lafayette, Indiana, USA.

出版信息

ISM. 2010:290-295. doi: 10.1109/ISM.2010.50.

DOI:10.1109/ISM.2010.50
PMID:22020443
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC3183748/
Abstract

In this paper, we describe the Technology Assisted Dietary Assessment (TADA) project at Purdue University. Dietary intake, what someone eats during the course of a day, provides valuable insights for mounting intervention programs for prevention of many chronic diseases such as obesity and cancer. Accurate methods and tools to assess food and nutrient intake are essential for research on the association between diet and health. An overview of our methods used in the TADA project is presented. Our approach includes the use of image analysis tools for identification and quantification of food that is consumed at a meal. Images obtained before and after foods are eaten are used to estimate the amount and type of food consumed.

摘要

在本文中,我们描述了普渡大学的技术辅助饮食评估(TADA)项目。饮食摄入量,即一个人一天中所吃的东西,为开展预防肥胖和癌症等多种慢性病的干预项目提供了宝贵的见解。准确评估食物和营养摄入量的方法和工具对于饮食与健康关系的研究至关重要。本文介绍了我们在TADA项目中使用的方法概述。我们的方法包括使用图像分析工具来识别和量化一餐中所摄入的食物。进食前后获取的图像用于估计所摄入食物的数量和种类。