课题基金 / 基金详情

Workshop on Technology for Automated Capture of Diet, Nutrition, and Eating Behaviors in Context

Workshop on Technology for Automated Capture of Diet, Nutrition, and Eating Behaviors in Context
自动捕获饮食、营养和饮食行为的技术研讨会
批准号:
1851173
负责人:
Lena Mamykina
金额:
$5.0万
依托单位:
依托单位国家:
美国
项目类别:
Standard Grant
财政年份:
2020
资助国家:
美国
项目状态:
已结题
起止时间:
2020-03-01 至 2022-02-28

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中文摘要
翻译
该奖项支持一个关于测量饮食行为和营养的计算和工程方法的研讨会。研讨会汇集了研究人员、政策制定者和生物医学研究人员,以开发营养和饮食行为评估的多学科未来。到目前为止,生物医学界仍在通过24小时召回或让人们来医院来测量营养和饮食行为,以便准确地定量和测量食物。技术的使用是有限的,计算和工程界一直在努力确定正确的行为(例如,食物购买与时间咀嚼)和衡量单位(微量营养素与时间咀嚼)。因此,正在开发的工具与需求不匹配,也没有推动整个科学界的发展。要开发有效的模型和方法,最终需要不同研究人员的合作,这些研究人员通常不会在一起交谈,也不会参加类似的会议,也不会阅读相同的学术文献。饮食行为和营养一直是计算机界和工程界关注的焦点,因为它们充满了令人兴奋的技术挑战。例如,了解颗粒级食物的摄入量可能需要在计算机视觉、光学和/或化学工程方面取得进展。因此,这次研讨会将把那些正在构建新方法和工具的人与那些将使用它们来为这些不同研究小组的未来创建研究计划的人聚集在一起。这一奖项反映了NSF的法定使命,并通过使用基金会的智力优势和更广泛的影响审查标准进行评估,被认为值得支持。
英文摘要
This award supports a workshop on computational and engineering approaches to measuring eating behavior and nutrition. The workshop brings together investigators, policy makers and biomedical researchers to develop a multidisciplinary future in nutrition and eating behavior assessment. To date, the biomedical community is still measuring nutrition and eating behavior using either 24-hour recall or having people come to the hospital so that food can be rationed and measured precisely. The use of technology is limited and the computing and engineering community have struggled with targeting the correct behaviors (e.g., food purchases versus time chewing) and units of measures (micronutrients versus time chewing). Thus, the tools being developed do not match the needs and does not advance the scientific community as a whole. To develop effective models and methods, ultimately requires the collaboration of diverse researchers who normally do not talk together nor attend similar conferences nor read the same academic literature. Eating behavior and nutrition has long been a focus of the computing and engineering communities because they are rich with exciting technical challenges. For example, understanding food intake at a granular level will likely require advances in computer vision, optics and/chemical engineering. Thus, this workshop will bring together those who are building new methods and tools with those who will use them to create a research plan for the future of these diverse research groups.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.
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会议论文
SCH: Human-Centered Reinforcement Learning for Personalized Nutritional Coaching
  • 批准号:
    2306690
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SCH: EAGER: Improving Nutritional Literacy and Decision Making with Learner-Centered Crowdsourcing
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    1551708
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