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Human Activity Recognition Using Smartphones Dataset Processing

Version 1.0

This repository contains a script to download and process the data from the Human Activity Recognition Using Smartphones Dataset Links for the original dataset, script and codebook are provided.

Assumptions and instructions

• The training and test data are available in folders named train and test respectively, no data from the "Inertial Signal" sub-folders are used.

• For each of these data sets:

• the data is present in X_.txt file
• Subject identification is present in subject_.txt file
• Activity codes are present in y_.txt file
• All activity codes and their labels are in a file named activity_labels.txt.
• Names of all measurements taken are present in file features.txt ordered and indexed as they appear in the X_.txt files.
• The final datasets results from merging the information containing the measurements, activities and subjects.
• Two final tidy datasets are created, the first containing the processed data and another containing the means from the measurements.
• Only information about the mean, mean frequencies and the standard deviations are being processed and kept.
• All columns representing means contain ...mean in them.
• All columns representing standard deviations contain ...std in them.
• All columns representing mean frequencies contain ...meanfreq in them.
• The processed tidy dataset should be created in the current directory as human_activity.csv
• The processed tidy dataset containing the means should be created in the current directory as "human_data.csv"

Running the script

Clone this repository Download the data set and extract. It should result in a UCI HAR Dataset folder that has all the files in the required structure. Change current directory to the UCI HAR Dataset folder. Run Rscript /run_analysis.R