There is a growing concern about chronic diseases and other health problems related to diet including obesity and cancer. The need to accurately measure diet (what foods a person consumes) becomes imperative. Dietary intake provides valuable insights for mounting intervention programs for prevention of chronic diseases. Measuring accurate dietary intake is considered to be an open research problem in the nutrition and health fields. In this paper, we describe a novel mobile telephone food record that will provide an accurate account of daily food and nutrient intake. 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. The mobile device provides a unique vehicle for collecting dietary information that reduces the burden on respondents that are obtained using more classical approaches for dietary assessment. We describe our approach to image analysis that includes the segmentation of food items, features used to identify foods, a method for automatic portion estimation, and our overall system architecture for collecting the food intake information.

中文翻译：

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使用移动设备辅助饮食评估


人们越来越关注与饮食相关的慢性疾病和其他健康问题，包括肥胖和癌症。准确测量饮食（一个人吃什么食物）的需求变得势在必行。膳食摄入量为制定预防慢性病的干预计划提供了宝贵的见解。准确测量膳食摄入量被认为是营养和健康领域的一个开放研究问题。在本文中，我们描述了一种新颖的手机食物记录，它将提供每日食物和营养摄入量的准确记录。我们的方法包括使用图像分析工具来识别和量化膳食中消耗的食物。食用食物之前和之后获得的图像用于估计食用食物的数量和类型。该移动设备提供了一种收集饮食信息的独特工具，可以减轻受访者使用更经典的饮食评估方法获得的负担。我们描述了我们的图像分析方法，包括食品的分割、用于识别食品的特征、自动份量估计的方法以及用于收集食物摄入信息的整体系统架构。