HHSN261201400054C; TOPIC 308 AUTOMATED COLLECTION, STORAGE, ANALYSIS, AND REPORTING SYSTEMS FOR DIETARY IMAGES 'TITLE: THE MOBILE FOOD INTAKE PHOTO STORAGE & ANALYSIS SYSTEM. PERFORMANCE PERIOD 09/16/

HHSN261201400054C；

• 批准号: 8947304
• 负责人: RICK WEISS
• 金额: $ 100万
• 依托单位: VIOCARE, INC.
• 依托单位国家: 美国
• 财政年份: 2014
• 资助国家: 美国
• 起止时间: 2014-09-16 至 2016-09-15
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/8947304
• 关键词: Architecture; Automation; Car Phone; Clinical Research; Code; Collection; Computer Vision Systems; Computerized Medical Record; Data; Databases; Diet; Dietary intake; Eating; Evaluation; Food; Health; Hour; Image; Individual; Location; Measurement; Measures; Methods; Nutritional; Ohio; Output; Patients; Performance; Procedures; Process; Records; Reporting; Research Personnel; Speech; Support System; System; Systems Analysis; Time; Universities; Vision; Visual; Voice; innovative technologies; mobile application; novel; speech recognition; tool; usability

This proposal describes enhancements to Viocare’s Mobile Food Intake Visual and Voice Recognizer (FIVR) System, a novel combination of innovative technologies including computer vision and speech recognition to measure dietary intake using a mobile phone. FIVR uses a mobile phone’s camera to capture a short video of foods to be consumed, which is then verbally-annotated on the mobile phone by the user. These video and audio files are processed through a real-time backend server speech and image recognition engine for food recognition and portion size measurement. This project will extend FIVR’s capabilities to analyze more foods, enhance the analysis and reporting tools, expand system support tools, and develop interfaces to a diverse set of clinical and research systems. A final evaluation of the FIVR system will be conducted at The Ohio State University to assess the usability and accuracy of food intake tracking with a group of 100 freeliving subjects, comparing 4 days of FIVR food intake data to 4 days of 24 hour recalls collected using ASA24 data. The resulting FIVR product will be a unique food intake tracker that combines selfadministration, automation (vision), and backend coding to collect food intake records to generate a detailed nutritional analysis.

该提案描述了Viocare的移动的食物摄入视觉和语音识别器（FIVR）的增强功能 系统，一种新颖的创新技术组合，包括计算机视觉和语音识别， 使用移动的电话测量饮食摄入量。FIVR使用移动的手机的摄像头来捕捉短视频 然后由用户在移动的电话上进行口头注释。这些视频 并且音频文件通过实时后端服务器语音和图像识别引擎进行处理， 食物识别和份量测量。该项目将扩展FIVR的能力， 食品，加强分析和报告工具，扩大系统支持工具，并开发接口， 不同的临床和研究系统。FIVR系统的最终评估将在 俄亥俄州州立大学，以评估食物摄入量跟踪的可用性和准确性， 受试者，将4天的FIVR食物摄入数据与使用收集的4天24小时回忆进行比较 ASA 24数据。由此产生的FIVR产品将是一个独特的食物摄入跟踪器，结合自我管理， 自动化（视觉）和后端编码来收集食物摄入记录，以生成详细的 营养分析