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.
| Arguello, Diego; Andersen, Kristie; Morton, Alvin et al. (2018) Validity of proximity sensor-based wear-time detection using the ActiGraph GT9X. J Sports Sci 36:1502-1507 |
| Mannini, Andrea; Rosenberger, Mary; Haskell, William L et al. (2017) Activity Recognition in Youth Using Single Accelerometer Placed at Wrist or Ankle. Med Sci Sports Exerc 49:801-812 |
| Mannini, Andrea; Sabatini, Angelo M; Intille, Stephen S (2015) Accelerometry-based Recognition of the Placement Sites of a Wearable Sensor. Pervasive Mob Comput 21:62-74 |
| Rosenberger, Mary E; Haskell, William L; Albinali, Fahd et al. (2013) Estimating activity and sedentary behavior from an accelerometer on the hip or wrist. Med Sci Sports Exerc 45:964-75 |
| Mannini, Andrea; Intille, Stephen S; Rosenberger, Mary et al. (2013) Activity recognition using a single accelerometer placed at the wrist or ankle. Med Sci Sports Exerc 45:2193-203 |
| Intille, Stephen S; Lester, Jonathan; Sallis, James F et al. (2012) New horizons in sensor development. Med Sci Sports Exerc 44:S24-31 |
| Rodes, C E; Chillrud, S N; Haskell, W L et al. (2012) Predicting Adult Pulmonary Ventilation Volume and Wearing Compliance by On-Board Accelerometry During Personal Level Exposure Assessments. Atmos Environ (1994) 57:126-137 |
| Intille, Stephen S; Albinali, Fahd; Mota, Selene et al. (2011) Design of a wearable physical activity monitoring system using mobile phones and accelerometers. Conf Proc IEEE Eng Med Biol Soc 2011:3636-9 |
