SBIR Phase I: A computer vision system for calorie tracking to encourage adherence to customized weight-loss regimens

SBIR 第一阶段：用于卡路里跟踪的计算机视觉系统，以鼓励遵守定制的减肥方案

• 批准号: 2136886
• 负责人: Kehlin Swain
• 金额: $ 25.24万
• 依托单位: Xplosion Technology Corporation
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2022
• 资助国家: 美国
• 起止时间: 2022-01-15 至 2022-12-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=2136886&HistoricalAwards=false
• 关键词: SBIR; Phase; computer; vision; system

The broader impact/commercial potential of this Small Business Innovation Research Phase I project is to help the 60% of the 21 million African American women in the US who are overweight or obese, increasing their risk for diabetes and cardiovascular disease in greater severity than the general population. This project overcomes barriers to weight management in African American women through its customized data library. The proposed automated food tracker is combined with a social network function to incentivize new users to engage with the application. These features provide a powerful tool for the user to achieve a healthy body mass index and maintain health over a lifetime.The proposed project is a mobile weight-loss management application to help African American manage diet and track physical activity. It helps women build their knowledge of proper nutrition and follow a healthy lifestyle, thereby improving adherence rates for diet and exercise regimens. The application's innovation is to automate the tracking of food intake from the users with image recognition and machine learning algorithms. This innovation creates a unique data set for foods common in the African American community, labeling the carbohydrates, calories, proteins, fats, and serving size. This automatic process provides a framework that eliminates the barriers created by the manual calculations that current solutions require. Furthermore, it will incorporate a game-like interface to increase engagement for better long-term weight management outcomes.This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.

这个小型企业创新研究第一阶段项目的更广泛的影响/商业潜力是帮助美国2100万超重或肥胖的非洲裔美国妇女中的60%，这增加了她们患糖尿病和心血管疾病的风险，其严重程度高于普通人群。 该项目通过其定制的数据库克服了非洲裔美国妇女体重管理的障碍。所提出的自动食物跟踪器与社交网络功能相结合，以激励新用户参与该应用程序。这些功能为用户提供了一个强大的工具，以实现健康的身体质量指数和保持健康的一生。拟议的项目是一个移动的减肥管理应用程序，以帮助非裔美国人管理饮食和跟踪身体活动。它帮助妇女建立适当的营养知识，遵循健康的生活方式，从而提高饮食和运动养生法的坚持率。该应用程序的创新是通过图像识别和机器学习算法自动跟踪用户的食物摄入量。这项创新为非裔美国人社区常见的食物创建了一个独特的数据集，标记了碳水化合物，卡路里，蛋白质，脂肪和份量。 这种自动化过程提供了一个框架，消除了当前解决方案所需的手动计算所造成的障碍。此外，该奖项还将采用类似游戏的界面，以提高参与度，从而获得更好的长期体重管理结果。该奖项反映了NSF的法定使命，并通过使用基金会的知识价值和更广泛的影响审查标准进行评估，被认为值得支持。