Tintle Nathan, Tu Jieqi, Luong Anna, Min Shina, Kershaw Kiarri N, Bronas Ulf G
Department of Population Health Nursing Science, College of Nursing, University of Illinois Chicago, Chicago, IL 60612, USA.
Department of Biostatistics, UIC School of Public Health, University of Illinois-Chicago, Chicago, IL 60612, USA.
Sensors (Basel). 2025 Jun 22;25(13):3883. doi: 10.3390/s25133883.
The use of sensors in mobility, health, and place research is rapidly increasing, with the promise of objective quantification of human behavior patterns and the ability to understand complex patterns of human behavior in ways that were previously impossible. However, there is now a critical bottleneck in managing the resulting influx of sensor data. In particular, limited software pipelines exist that both clean and harmonize global positioning system (GPS) and accelerometer data into a single dataset that integrates information about time, space, and movement. Other approaches are costly due to proprietary software, personnel time, and being prone to human errors. To address this gap, we have created the open source pipeline in the R software environment, combining GPS and accelerometer data to yield simultaneous information on location and activity status. Demonstrations of the pipeline and validity data are presented. The AGPSR software (Ver 1.0) is now available for researchers to use in studies involving simultaneous GPS and accelerometer wear.
传感器在移动性、健康和场所研究中的应用正在迅速增加，有望对人类行为模式进行客观量化，并以前所未有的方式理解复杂的人类行为模式。然而，目前在管理由此产生的传感器数据涌入方面存在一个关键瓶颈。特别是，现有的软件管道有限，无法将全球定位系统（GPS）和加速度计数据清理并整合到一个包含时间、空间和运动信息的单一数据集中。其他方法由于专有软件、人员时间成本高且容易出现人为错误。为了填补这一空白，我们在R软件环境中创建了开源管道，将GPS和加速度计数据结合起来，以提供有关位置和活动状态的同步信息。本文展示了该管道及有效性数据。AGPSR软件（版本1.0）现已可供研究人员在涉及同时佩戴GPS和加速度计的研究中使用。
