Ubiquitous computing for the measurement of physical activity

用于测量身体活动的普适计算

• 批准号: 7387327
• 负责人: GLEN E DUNCAN
• 金额: $ 14.9万
• 依托单位: UNIVERSITY OF WASHINGTON
• 依托单位国家: 美国
• 财政年份: 2007
• 资助国家: 美国
• 起止时间: 2007-04-01 至 2011-03-31
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/7387327
• 关键词: Address; Adult; Arts; Cellular Phone; Chronic Disease; Condition; Cues; Daily; Development; Devices; Elevation; Elevator; Energy Metabolism; Environment; Equation; Frequencies; Future; Goals; Health; Human; Humidity; Label; Laboratories; Life; Light; Location; Measurement; Measures; Methods; Movement; Numbers; Obesity; Oxygen Consumption; Physical activity; Population; Prevention Research; Public Health; Purpose; Range; Rehabilitation therapy; Research; Research Project Grants; Running; Self-Help Devices; Series; Signal Transduction; Speed; Standards of Weights and Measures; Technology; Temperature; Training; Unit of Measure; Validity and Reliability; Visible Radiation; Walking; Weight maintenance regimen; Work; barometric pressure; base; cost; improved; innovation; instrument; national surveillance; research study; sensor

DESCRIPTION (provided by applicant): The goals of this R21 exploratory/developmental research project are to establish the validity and reliability of an innovative multi-sensor board device for measuring physical activity type, amount, and associated energy expenditure. These goals will be addressed through a series of laboratory and field experiments in a group of 60 adults. In Specific Aim 1, we will extend our preliminary work by establishing the accuracy of the multi- sensor board for measuring level and graded treadmill walking and running in the laboratory, as well as more common and natural forms of human movement such as walking up/down stairs, riding up/down an elevator, etc., in a field experiment. Accuracy will be established using the recorded activities (labelled "ground-truth") as the standard measures. In Specific Aim 2, we will expand the current capabilities of the multi-sensor board by "training" the device to provide estimates of energy expenditure associated with the measured activities. Accuracy will be established using oxygen consumption as the standard measure. We hypothesize that the multi-sensor board provides valid and reliable measures of physical activity and its associated energy expenditure in adults under free-living conditions. This work is important because physical activity is a significant component of obesity and chronic disease research, prevention, and treatment. The ability to relate physical activity to health depends on its accurate and precise measurement, which we will establish in this study. None of the currently available methods are fully satisfactory, however, because of problems related to cost, convenience, and measurement error. To overcome these limitations, we introduce a new, portable multi- sensor board capable of capturing diverse cues from ongoing activities. The small sensing unit (2.53 sq. in.) has eight different sensing capabilities, including accelerometry, audio, IR/visible light, high-frequency light, barometric pressure, humidity, temperature, and geophysical location, for measuring a number of different human movements. A distinct advantage over other instruments is that we employ "ubiquitous" technology that will enable people to move around and interact with their environment more naturally than they currently are able to do. For example, the unit can be integrated into existing mobile platforms, such as a cellular telephone, that people already have and use on a daily basis. Our longer-term goal is to establish the new state-of-the-art in measuring physical activity and energy expenditure in free-living populations. This research has numerous applications to public health, including weight control, development of personal assistive devices for rehabilitation, and improving national surveillance of physical activity. The purpose of this research is to determine the accuracy of an innovative multi-sensor board for measuring a number of common human physical activities. This work is important to public health because physical activity is an essential component of obesity and health-related research, prevention, and treatment efforts. The long- term goal of this research is to establish the new state-of-the-art in measuring human physical activity and energy expenditure that will have numerous applications to public health, including weight control, development of personal assistive devices for rehabilitation, and improving national surveillance of physical activity levels in the population.

描述（由申请人提供）：该R21探索性/开发性研究项目的目标是建立一种创新的多传感器板设备的有效性和可靠性，用于测量身体活动类型、数量和相关的能量消耗。这些目标将通过一系列的实验室和现场实验在一组60名成年人。在具体目标1中，我们将通过建立多传感器板的准确性来扩展我们的初步工作，该多传感器板用于测量实验室中的水平和分级跑步机行走和跑步，以及更常见和自然的人类运动形式，例如上下楼梯，上下电梯等，在一个实地实验中。将使用记录的活动（标为“地面实况”）作为标准措施来确定准确性。在特定目标2中，我们将通过“训练”设备来扩展多传感器板的当前功能，以提供与测量活动相关的能量消耗估计。将使用耗氧量作为标准测量来确定准确度。我们假设，多传感器板提供了有效和可靠的措施，身体活动及其相关的能量消耗在成人自由生活条件下。这项工作很重要，因为身体活动是肥胖和慢性疾病研究，预防和治疗的重要组成部分。将身体活动与健康联系起来的能力取决于其准确和精确的测量，我们将在这项研究中建立。然而，由于与成本、便利性和测量误差相关的问题，目前可用的方法都不完全令人满意。为了克服这些限制，我们引入了一种新的便携式多传感器板，能够从正在进行的活动中捕获各种线索。小型传感单元（2.53 sq.英寸）。具有八种不同的传感能力，包括加速度、音频、IR/可见光、高频光、气压、湿度、温度和地球物理位置，用于测量许多不同的人体运动。与其他工具相比，我们的一个明显优势是，我们采用了“无处不在”的技术，使人们能够比目前更自然地四处走动并与环境互动。例如，该单元可以集成到人们已经拥有并每天使用的现有移动的平台中，例如蜂窝电话。我们的长期目标是建立新的最先进的测量自由生活人群的身体活动和能量消耗。这项研究在公共卫生方面有许多应用，包括体重控制，康复个人辅助设备的开发，以及改善国家对身体活动的监测。本研究的目的是确定一种创新的多传感器板测量一些常见的人类身体活动的准确性。这项工作对公共卫生很重要，因为体育活动是肥胖和健康相关研究，预防和治疗工作的重要组成部分。这项研究的长期目标是建立测量人类身体活动和能量消耗的新的最先进技术，这将对公共卫生有许多应用，包括体重控制，康复个人辅助设备的开发，以及改善对人口身体活动水平的国家监测。

项目成果

New horizons in sensor development.

• DOI: 10.1249/mss.0b013e3182399c7d
• 发表时间: 2012-01
• 期刊: Medicine and science in sports and exercise
• 影响因子: 4.1
• 作者: Intille SS;Lester J;Sallis JF;Duncan G
• 通讯作者: Duncan G

BALANCE (Bioengineering Approaches for Lifestyle Activity and Nutrition Continuous Engagement): developing new technology for monitoring energy balance in real time.

BALANCE（生活方式活动和营养持续参与的生物工程方法）：开发实时监测能量平衡的新技术。

• DOI: 10.1177/193229681000400224
• 发表时间: 2010
• 期刊: Journal of diabetes science and technology
• 影响因子: 5
• 作者: Hughes,DeonnaC;Andrew,Adrienne;Denning,Tamara;Hurvitz,Philip;Lester,Jonathan;Beresford,Shirley;Borriello,Gaetano;Bruemmer,Barbara;Moudon,AnneVernez;Duncan,GlenE
• 通讯作者: Duncan,GlenE

BALANCE: Towards a Usable Pervasive Wellness Application with Accurate Activity Inference.

• DOI: 10.1145/1514411.1514416
• 发表时间: 2009
• 期刊: Proceedings. IEEE Workshop on Mobile Computing Systems and Applications
• 作者: Denning T;Andrew A;Chaudhri R;Hartung C;Lester J;Borriello G;Duncan G
• 通讯作者: Duncan G

Measuring slope to improve energy expenditure estimates during field-based activities.

测量坡度以改进现场活动期间的能源消耗估算。

• DOI: 10.1139/apnm-2012-0223
• 发表时间: 2013
• 期刊: Applied physiology, nutrition, and metabolism = Physiologie appliquée, nutrition et métabolisme
• 作者: Duncan,GlenE;Lester,Jonathan;Migotsky,Sean;Higgins,Lisa;Borriello,Gaetano
• 通讯作者: Borriello,Gaetano