Enabling Population-Scale Physical Activity Measurement on Common Mobile Phones
在普通手机上实现人口规模的身体活动测量
基本信息
- 批准号:7489819
- 负责人:
- 金额:$ 63.76万
- 依托单位:
- 依托单位国家:美国
- 项目类别:
- 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:
- 关键词:AddressAdultAlgorithmsAmericanAsiaCar PhoneCommunicationComputer softwareDataData CollectionDetectionDevelopmentDevicesEnrollmentEvaluationExpenditureFrequenciesFundingGoalsHeart RateHip region structureIndividualInternetLaboratoriesLifeLocationMachine LearningMaintenanceMarketingMeasurementMeasuresMonitorMotionParticipantPatient Self-ReportPersonsPhysical activityPhysical activity scalePlayPopulationProcessRelative (related person)ResearchResearch PersonnelResolutionRunningSamplingShoesSideSoftware DesignSportsSystemTechnologyTelephoneTestingTimeTrainingUnited States National Institutes of HealthValidationWalkingWireless Technologycostdesignergonomicsopen sourceprototyperemote sensorsensorsocialsoftware developmentsoftware systems
项目摘要
DESCRIPTION (provided by applicant):
The primary aim of this U01 project is the technical development, deployment, and evaluation of hardware and software technology that will enable population-scale, longitudinal measurement of physical activity using common mobile phones. Mobile phones available in Asia and soon in the U.S. already include internal accelerometers and low-power wireless communication capabilities. This study will investigate how to use these computing devices for accurate measurement of physical activity type, intensity and bout duration. By exploiting consumer expenditures on phones that many Americans will purchase, maintain, and carry, it may be possible to run large-scale studies where the physical activity of hundreds of thousands of participants is measured and remotely monitored for months or years at an affordable cost. Wireless accelerometers designed at MIT will be redesigned so that they can send data to common mobile phones available in 2011. Laboratory testing using the current version of the sensors will be used to compare the relative information gain that can be obtained by combining the phone accelerometer data and data obtained by wearing one or more wireless sensors on different convenient body locations (e.g., in a watch or bag, on a shoe, at the hip, etc.). Optimal but practical configurations of accelerometers will be determined so that software running on the mobile phone can automatically detect specific physical activities such as brisk walking, running, cycling, climbing stairs, sweeping, playing sports, etc. Technical challenges that will be addressed by the sensor and software design include, (1) obtaining practical battery life, (2) acquiring physical activity data at high temporal resolution, (3) enabling person-specific customization of the detection algorithms, (4) addressing practical end-user concerns about ergonomics, comfort, and social acceptability, (5) permitting real-time and low-cost remote monitoring and maintenance for studies with hundreds of thousands of phone users, and (4) enabling use of other off-the-shelf sensor devices, such as heart rate monitors, as they become available. A participatory design process will be employed to develop strategies for obtaining longitudinal compliance from typical phone users. After two rounds of iterative technical development, each with laboratory validation conducted at Stanford, the technology will be deployed with 50 typical phone users for 10 months. Validity relative to self report, acceptability, and longitudinal compliance will be measured.
描述(由申请人提供):
项目成果
期刊论文数量(0)
专著数量(0)
科研奖励数量(0)
会议论文数量(0)
专利数量(0)
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STEPHEN S INTILLE其他文献
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{{ truncateString('STEPHEN S INTILLE', 18)}}的其他基金
Accelerating the development of novel methods to measure 24-hr physical behavior
加速开发测量 24 小时身体行为的新方法
- 批准号:
10035078 - 财政年份:2020
- 资助金额:
$ 63.76万 - 项目类别:
Accelerating the development of novel methods to measure 24-hr physical behavior
加速开发测量 24 小时身体行为的新方法
- 批准号:
10460236 - 财政年份:2020
- 资助金额:
$ 63.76万 - 项目类别:
Accelerating the development of novel methods to measure 24-hr physical behavior
加速开发测量 24 小时身体行为的新方法
- 批准号:
10687994 - 财政年份:2020
- 资助金额:
$ 63.76万 - 项目类别:
Accelerating the development of novel methods to measure 24-hr physical behavior
加速开发测量 24 小时身体行为的新方法
- 批准号:
10208835 - 财政年份:2020
- 资助金额:
$ 63.76万 - 项目类别:
Crowd-Sourced Annotation of Longitudinal Sensor Data to Enhance Data-Driven Precision Medicine for Behavioral Health
纵向传感器数据的众包注释可增强行为健康的数据驱动精准医学
- 批准号:
9078547 - 财政年份:2016
- 资助金额:
$ 63.76万 - 项目类别:
Enabling Population-Scale Physical Activity Measurement on Common Mobile Phones
在普通手机上实现人口规模的身体活动测量
- 批准号:
7620388 - 财政年份:2007
- 资助金额:
$ 63.76万 - 项目类别:
Enabling Population-Scale Physical Activity Measurement on Common Mobile Phones
在普通手机上实现人口规模的身体活动测量
- 批准号:
7340826 - 财政年份:2007
- 资助金额:
$ 63.76万 - 项目类别:
Enabling Population-Scale Physical Activity Measurement on Common Mobile Phones
在普通手机上实现人口规模的身体活动测量
- 批准号:
7490202 - 财政年份:2007
- 资助金额:
$ 63.76万 - 项目类别:
Enabling Population-Scale Physical Activity Measurement on Common Mobile Phones
在普通手机上实现人口规模的身体活动测量
- 批准号:
7915037 - 财政年份:2007
- 资助金额:
$ 63.76万 - 项目类别:
Enabling Population-Scale Physical Activity Measurement on Common Mobile Phones
在普通手机上实现人口规模的身体活动测量
- 批准号:
7895863 - 财政年份:2007
- 资助金额:
$ 63.76万 - 项目类别:
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