OTHER FUNCTIONS SBIR TOPIC 308, PHASE I: THE MOBILE FOOD INTAKE PHOTO STORAGE AN

这份提案描述了增强Viocare？S移动进食视觉和语音识别器(FIVR)系统的计划。FIVR是一个活跃的基因、环境和健康倡议(GEI)项目，是计算机视觉和语音识别等创新技术的新组合，可以使用手机测量饮食摄入量。FIVR的第一版使用了手机？S嵌入式摄像头来捕捉食物被消费的短视频。要吃的食物由用户在手机上进行口头注释。这些视频和音频文件被发送到后端服务器，通过语音识别和图像分析进行实时食物识别和份量测量。该项目将制定规范，以扩展S的能力，以标准化、存储和分析更多不同的食品图像，如3D照片；收集其他食品数据；增强分析工具；以及与各种临床/研究系统的接口。Fivr版本2的功能原型将被开发为使用3D饮食图像作为输入。将对FIVR V2原型进行最终评估，以评估3D图像饮食捕获的准确性和可行性，并对9名受试者进行受控喂养研究。

This proposal describes plans to enhance Viocare¿s Mobile Food Intake Visual and Voice Recognizer (FIVR) System. FIVR, an active Genes, Environment and Health Initiative (GEI) project, is a novel combination of innovative technologies including computer vision and speech recognition to measure dietary intake using a mobile phone. Version 1 of FIVR uses a mobile phone¿s embedded camera to capture a short video of food to be consumed. The food to be eaten is annotated verbally on the mobile phone by the user. These video and audio files are sent to a backend server for real-time food recognition and portion size measurement through speech recognition and image analysis. This project will develop specifications to extend FIVR¿s capabilities to standardize, store, and analyze more diverse food images, such as 3D photos; to collect other food data; to enhance the analysis tools; and for interfaces to a variety of clinical/research systems. The FIVR Version 2 functional prototype will be developed to use 3D dietary images as input. A final evaluation of the FIVR V2 prototype will be conducted to assess the accuracy and feasibility of the 3D image diet capture with a group of 9 subjects in a controlled feeding study.