Acc: An R Package to Process, Visualize, and Analyze Accelerometer Data

• Activity Number: 24 - Statistical Computing and Graphics Student Awards
• Type: Topic Contributed
• Date/Time: Sunday, July 30, 2017 : 2:00 PM to 3:50 PM
• Sponsor: Section on Statistical Computing
• Author(s): Jae Joon Song* and Michael Swartz and Matthew G. Cox and Karen Basen-Engquist
• Companies: University of Texas Health Science Center and The University of Texas Health Science Center At Houston, School of Public Health and University of Texas MD Anderson Cancer Center and University of Texas MD Anderson Cancer Center
• Keywords: Accelerometry ; Physical activity monitoring ; Semiparametric model ; R ; Activity counts ; Raw accelerometer data

Abstract

Wearable activity monitors are now widely used in behavioral and epidemiological studies to measure physical activity in free living conditions. Despite the widespread use in research, development of software to explore the data collected from these devices has been limited. We present acc, a comprehensive, free, and open source R package to provide a seamless environment for exploring accelerometer data (https://cran.r-project.org/web/packages/acc). In this article, we demonstrate the software for processing, visualizing, and analyzing accelerometer data using real and simulated datasets.