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: 7492399
• 负责人: STEPHEN S INTILLE
• 金额: $ 31.55万
• 依托单位: MASSACHUSETTS INSTITUTE OF TECHNOLOGY
• 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/7492399
• 关键词: Address; Adult; Algorithms; American; Asia; Car Phone; Communication; Computer software; Data; Data Collection; Detection; Development; Devices; Enrollment; Evaluation; Expenditure; Frequencies; Funding; Goals; Heart Rate; Individual; Internet; Laboratories; Life; Location; Machine Learning; Maintenance; Marketing; Measurement; Measures; Monitor; Motion; Participant; Patient Self-Report; Persons; Physical activity; Physical activity scale; Play; Population; Process; Relative (related person); Research; Research Personnel; Resolution; Running; Sampling; Shoes; Side; Software Design; Sports; System; Technology; Telephone; Testing; Time; Training; United States National Institutes of Health; Validation; Walking; Wireless Technology; cost; design; ergonomics; open source; prototype; remote sensor; sensor; social; software development; software systems

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. Wirelessaccelerometers 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 thehip, etc.). Optimal but practical configurations of accelerometerswill 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) permiting 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.

该U01项目的主要目的是硬件的技术开发，部署和评估 和软件技术，可以实现人口规模，纵向测量体育锻炼 使用通用手机。在亚洲和美国不久的将手机提供的手机已经包括内部 加速度计和低功率无线通信功能。这项研究将研究如何使用 这些计算设备，用于准确测量体育活动类型，强度和回合持续时间。 在许多美国人将购买，维护和携带的手机上利用消费者支出，它可能 可以进行大规模研究，其中成千上万的参与者的体育活动是 以负担得起的成本进行测量和远程监控数月或数年。无线电压计 在麻省理工学院设计的将进行重新设计，以便他们可以在2011年将数据发送到通用手机。 使用当前版本的传感器测试将用于比较相对信息 通过将手机加速度计数据和数据组合到通过一件或 在不同方便的车身位置上的更多无线传感器（例如，在手表或袋子中，在鞋子上，在Thehip上， ETC。）。确定加速度计的最佳但实用的配置将确定运行的软件 手机可以自动检测特定的体育活动，例如步行，跑步，骑自行车， 攀登楼梯，扫地，参加运动等。传感器和 软件设计包括，（1）获得实用的电池寿命，（2）在高处获取体育活动数据 时间分辨率，（3）启用特定于人的检测算法的自定义，（4） 实用的最终用户对人体工程学，舒适性和社会可接受性的关注，（5）允许实时和 低成本的远程监控和维护，以与数十万电话使用者进行研究，（4） 可以使用其他现成的传感器设备（例如心率监视器）使用。一个 将采用参与性设计过程来制定获得纵向合规性的策略 来自典型的电话用户。经过两轮迭代技术开发，每个都有实验室验证 该技术在斯坦福大学进行，将与50个典型的电话用户部署10个月。有效性 相对于自我报告，可接受性和纵向依从性。