================================================================== Human Activity Recognition Using Smartphones Dataset Version 1.0
Jorge L. Reyes-Ortiz, Davide Anguita, Alessandro Ghio, Luca Oneto. Smartlab - Non Linear Complex Systems Laboratory DITEN - Università degli Studi di Genova. Via Opera Pia 11A, I-16145, Genoa, Italy. [email protected] www.smartlab.ws
Original data has been used for publishing following article: Anguita D, Ghio A, Oneto L, Parra X, Reyes-Ortiz JL (2012) Human Activity Recognition on Smartphones using a Multiclass Hardware-Friendly Support Vector Machine, 4th International Workshop of Ambient Assisted Living (IWAAL 2012), held in Vitoria-Gasteiz, Spain. Dec 2012
Article can be accessed http://link.springer.com/chapter/10.1007/978-3-642-35395-6_30 or http://www.icephd.org/sites/default/files/IWAAL2012.pdf
Dataset download link: https://d396qusza40orc.cloudfront.net/getdata%2Fprojectfiles%2FUCI%20HAR%20Dataset.zip
Description of the dataset: http://archive.ics.uci.edu/ml/datasets/Human+Activity+Recognition+Using+Smartphones
1. Merges the training and the test sets to create one new data set.
2. Extracts only the measurements on the mean and standard deviation for each measurement.
3. Uses descriptive activity names to name the activities in the new data set
4. Appropriately label the data set with descriptive new variable names (see included cookbook.md)
5. From the data set in step 4, creates a second, independent tidy data set with the average of each variable for each activity and each subject.
Output :
Merged_cleaned_tidydata.txt
Average_values_by_subject_and_activity.txt
Includes detailed information how existing variables were transformed to new variables.
1) download run_analysis.R into directory
2) download the dataset getdata-projectfiles-UCI HAR Dataset into same directory than run_analysis.R
3) unzip the dataset
4) unzipped folder UCI HAR Dataset should be now in the same directory than run_analysis.R
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