Data and code used for 'Thigh-Worn Accelerometry: A Comparative Study of Two No-Code Classification Methods for Identifying Physical Activity Types'

This repository contains all data necessary to reproduce the results for the manuscript titled 'Thigh-Worn Accelerometry: A Comparative Study of Two No-Code Classification Methods for Identifying Physical Activity Types'. File structure - analysis The analysis subfolder contains all R scripts used for the study: 1. Sample size estimation2. Synchronisation of the timestamps3. Processing of the raw data4. Calculating the interrater agreement5. Calculating all performance metrics and producing the plots In addition, the two subfolders contain the plots and result tables produced when running the scripts. - data The data folder contains all raw data as well as the processed data. A subfolder for each subject contains the video annotations (.eaf), the raw acceleration data (.csv) and the SENS motion classification data (.csv). The ActiPASS subfolder contains the raw acceleration files in binary file format as well as the ActiPASS output. The shiny subfolder contains the R code used for running the shiny app during data collection as well as the logged data and timestamps. - documents This folder contains any additional documents used in the study. Requirements The data processing and analysis was performed in R (Version 4.3.2). To run the full analysis in R, the following packages need to be installed: tidyverse xml2 lubridate here dygraphs hms irr yardstick cowplot gt