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: 7489820
• 负责人: MINGUI SUN
• 金额: $ 61.62万
• 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/7489820
• 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

DESCRIPTION (provided by applicant): 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. 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.

描述（由申请人提供）： 肥胖与多种遗传和环境因素有关。为了了解这种情况的病因并制定有效的体重管理计划，在自由生活环境中准确获取饮食和身体活动数据至关重要。目前，自我报告是用于数据采集的主要方法，但不能准确地反映个体在真实的生活中的真实习惯行为。因此，缺乏评估工具来产生无偏见的，客观的数据，大大阻碍了肥胖研究的进展。我们提出了一种新的应用多媒体技术来研究肥胖。它将以电子纪事（或电子纪事）为基础，这是一种强大的多媒体数据管理技术，提供了一个容易获得的个人经历和日常事件的电子记忆。具体来说，我们将开发一种统一的传感器设备，它是舒适的，可以很容易地由患者佩戴。该装置将由一套生理传感器和一个微型摄像机组成。所记录的数据将上载到一台功能强大的计算机，计算机将进行广泛的多媒体处理，以消除录像中的人物形象，并利用电子纪事技术整理信息。饮食和活动相关的事件将被自动提取，索引，并组织成一个易于访问的形式，提供了一个新的平台技术来研究生活方式，行为和环境，承诺新的理解和有效的治疗方案来管理肥胖。 我们提出了一种新的应用多媒体技术的基础上，电子病历研究肥胖。我们将开发一个统一的传感器设备，包括一组生理传感器和一个微型摄像机来获取现场数据。饮食和活动相关的事件将被自动提取，索引和组织，提供一个新的平台技术来研究生活方式，行为和环境，承诺新的理解和有效的治疗选择来管理肥胖。