Project for Coursera course "Getting clean data" https://class.coursera.org/getdata-003
Human Activity Recognition Using Smartphones Dataset, data from http://archive.ics.uci.edu/ml/datasets/Human+Activity+Recognition+Using+Smartphones
The experiments have been carried out with a group of 30 volunteers within an age bracket of 19-48 years. Each person performed six activities (WALKING, WALKING_UPSTAIRS, WALKING_DOWNSTAIRS, SITTING, STANDING, LAYING) wearing a smartphone (Samsung Galaxy S II) on the waist. Using its embedded accelerometer and gyroscope, 3-axial linear acceleration and 3-axial angular velocity were captured at a constant rate of 50Hz. The experiments have been video-recorded to label the data manually. The obtained dataset has been randomly partitioned into two sets, where 70% of the volunteers was selected for generating the training data and 30% the test data.
- Run the "run_analysis.R" script on the data, output file "averageActivity.txt"
- Performed analysis described in the CodeBook.md file