A Unified Sensor System for Ubiquitous Assessment of Diet and Physical Activity

用于无处不在的饮食和身体活动评估的统一传感器系统

• 批准号: 7490158
• 负责人: MINGUI SUN
• 金额: $ 0.3万
• 依托单位: UNIVERSITY OF PITTSBURGH AT PITTSBURGH
• 依托单位国家: 美国
• 财政年份: 2007
• 资助国家: 美国
• 起止时间: 2007-08-15 至 2011-05-31
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/7490158
• 关键词: Algorithms; Anxiety; Appearance; Area; Behavior; Butter; Class; Computational algorithm; Computer software; Computers; Condition; Daily; Data; Databases; Deglutition; Development; Devices; Diet; Dietary Assessment; Disease; Eating; Electronics; Environment; Environmental Risk Factor; Epidemic; Etiology; Evaluation; Event; Face; Facility Construction Funding Category; Gender; General Population; Genes; Genetic; Goals; Health Professional; Hour; Human; Image; Individual; Information Technology; Life; Life Style; Link; Location; Malignant Neoplasms; Measures; Medical Surveillance; Memory; Methods; Multimedia; Obesity; Patient Self-Report; Patients; Performance; Personal Satisfaction; Persons; Physical activity; Physiological; Privacy; Problem Solving; Process; Public Health; Questionnaires; Range; Research; Resolution; Respondent; Scanning; Shapes; Signal Transduction; Stress; Subgroup; Syndrome; System; Technology; Time; Translating; Week; Weight; base; computerized data processing; cost; data acquisition; data management; day; design; encryption; experience; human disease; indexing; novel; programs; prototype; respiratory; sensor; tool

Obesity is associated with a large variety of genetic and environmental factors. In order to understand the etiology of this condition and develop effective weight management programs, accurate acquisition of diet and physical activity data in free-living environment is essential. Currently, self-reporting is the primary method for data acquisition, but does not accurately reflect the true habitual behavior of individuals in real life. As a result, the lack of assessment tools to produce unbiased, objective data has significantly hampered the progress of obesity research. We propose a novel application of multimedia technology to study obesity. It will be based on electronic chronicle (or e-chronicle), a powerful multimedia data management technology which provides an easily accessible electronic memory of individual's experience and daily events. Specifically, we will develop a unified sensor device which is cosmetically pleasant and can be easily worn by patients. This device will consist of a set of physiological sensors and a miniature video camera. The data recorded will be uploaded to a powerful computer where extensive multimedia processing will be performed to remove human appearances in the video and organize information using the e-chronicle technology. Diet and activity related events will be automatically extracted, indexed, and organized into an easily accessible form, providing a new platform technology to study lifestyle, behavior, and environment that promises new understanding and effective treatment option to manage obesity. Description: We propose a novel application of multimedia technology based on electronic chronicle to study obesity. We will develop a unified sensor device consisting of a set of physiological sensors and a miniature video camera to acquire field data. Diet and activity related events will be automatically extracted, indexed, and organized, providing a new platform technology to study lifestyle, behavior, and environment that promises new understanding and effective treatment option to manage obesity.

肥胖与多种遗传和环境因素有关。为了了解 找出这种病症的病因并制定有效的体重管理方案，准确获取饮食 自由生活环境中的体力活动数据至关重要。目前，自我报告是主要方式 数据采集​​方法，但并不能准确反映现实中个体的真实习惯行为 生活。因此，缺乏产生公正、客观数据的评估工具已严重影响 阻碍了肥胖研究的进展。我们提出了一种多媒体技术的新颖应用 研究肥胖。它将基于电子编年史（或e-chronicle），一种强大的多媒体数据 管理技术，提供个人易于访问的电子存储器 经历和日常事件。具体来说，我们将开发一种统一的传感器设备，该设备具有美观性 舒适且可以方便患者佩戴。该设备将由一组生理传感器和 微型摄像机。记录的数据将上传到功能强大的计算机上 将进行多媒体处理以消除视频中的人物并组织 使用电子编年史技术的信息。饮食和活动相关事件将自动 提取、索引并组织成易于访问的形式，提供了一种新的平台技术 研究生活方式、行为和环境，以提供新的理解和有效的治疗 控制肥胖的选择。 描述： 我们提出了一种基于电子记录的多媒体技术的新颖应用来研究肥胖。 我们将开发一个统一的传感器设备，由一组生理传感器和一个微型视频组成 相机来获取现场数据。饮食和活动相关事件将被自动提取、索引和 组织起来，提供了一个新的平台技术来研究生活方式、行为和环境， 有望为控制肥胖提供新的认识和有效的治疗选择。