Enabling Population-Scale Physical Activity Measurement on Common Mobile Phones

该U01项目的主要目标是硬件的技术开发、部署和评估 以及软件技术，使人们能够对体力活动进行人口规模的纵向测量 使用普通的移动电话。在亚洲和即将在美国推出的移动电话已经包括内部 加速计和低功率无线通信功能。这项研究将调查如何使用 这些计算设备用于准确测量身体活动的类型、强度和比赛持续时间。 利用消费者在许多美国人将购买、维护和携带的手机上的支出，它可能会 有可能进行大规模研究，其中数十万参与者的体力活动 以实惠的成本进行数月或数年的测量和远程监控。无线加速度计 麻省理工学院设计的手机将被重新设计，这样他们就可以将数据发送到2011年上市的普通手机上。 使用当前版本的传感器进行的实验室测试将用于比较相关信息 通过将手机加速度计数据与佩戴其中一个或 在不同方便的身体位置(例如，在手表或包中，在鞋子上，在臀部， 等)。将确定最佳但实用的加速计配置，以便在 手机可以自动检测特定的身体活动，如快步走、跑步、骑自行车、 爬楼梯、扫地、做运动等。传感器和 软件设计包括：(1)获取实际电池寿命；(2)获取高强度体力活动数据 时间分辨率，(3)允许特定人定制检测算法，(4)寻址 最终用户对人体工程学、舒适性和社会可接受性的实际关注，(5)允许实时和 为数十万电话用户的研究提供低成本的远程监控和维护，以及(4) 允许使用其他现成的传感器设备，如心率监测器，因为它们是可用的。一个 将采用参与式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，每一轮都经过实验室验证 这项技术在斯坦福大学进行，将在50名典型手机用户中部署10个月。效度 相对于自我报告，将衡量可接受性和纵向遵从性。

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.