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, we captured 3-axial linear acceleration and 3-axial angular velocity 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.
The sensor signals (accelerometer and gyroscope) were pre-processed by applying noise filters and then sampled in fixed-width sliding windows of 2.56 sec and 50% overlap (128 readings/window). The sensor acceleration signal, which has gravitational and body motion components, was separated using a Butterworth low-pass filter into body acceleration and gravity. The gravitational force is assumed to have only low frequency components, therefore a filter with 0.3 Hz cutoff frequency was used. From each window, a vector of features was obtained by calculating variables from the time and frequency domain.
For each record in the dataset it is provided:
Triaxial acceleration from the accelerometer (total acceleration) and the estimated body acceleration. Triaxial Angular velocity from the gyroscope. Its activity label.
[1] Davide Anguita, Alessandro Ghio, Luca Oneto, Xavier Parra and Jorge L. Reyes-Ortiz. Human Activity Recognition on Smartphones using a Multiclass Hardware-Friendly Support Vector Machine. International Workshop of Ambient Assisted Living (IWAAL 2012). Vitoria-Gasteiz, Spain. Dec 2012
http://archive.ics.uci.edu/ml/datasets/Human+Activity+Recognition+Using+Smartphones
Here are the data for the project:
https://d396qusza40orc.cloudfront.net/getdata%2Fprojectfiles%2FUCI%20HAR%20Dataset.zip
| Variables |
|---|
| "activities" |
| "subj" |
| "tBodyAcc-mean()-X" |
| "tBodyAcc-mean()-Y" |
| "tBodyAcc-mean()-Z" |
| "tBodyAcc-std()-X" |
| "tBodyAcc-std()-Y" |
| "tBodyAcc-std()-Z" |
| "tGravityAcc-mean()-X" |
| "tGravityAcc-mean()-Y" |
| "tGravityAcc-mean()-Z" |
| "tGravityAcc-std()-X" |
| "tGravityAcc-std()-Y" |
| "tGravityAcc-std()-Z" |
| "tBodyAccJerk-mean()-X" |
| "tBodyAccJerk-mean()-Y" |
| "tBodyAccJerk-mean()-Z" |
| "tBodyAccJerk-std()-X" |
| "tBodyAccJerk-std()-Y" |
| "tBodyAccJerk-std()-Z" |
| "tBodyGyro-mean()-X" |
| "tBodyGyro-mean()-Y" |
| "tBodyGyro-mean()-Z" |
| "tBodyGyro-std()-X" |
| "tBodyGyro-std()-Y" |
| "tBodyGyro-std()-Z" |
| "tBodyGyroJerk-mean()-X" |
| "tBodyGyroJerk-mean()-Y" |
| "tBodyGyroJerk-mean()-Z" |
| "tBodyGyroJerk-std()-X" |
| "tBodyGyroJerk-std()-Y" |
| "tBodyGyroJerk-std()-Z" |
| "tBodyAccMag-mean()" |
| "tBodyAccMag-std()" |
| "tGravityAccMag-mean()" |
| "tGravityAccMag-std()" |
| "tBodyAccJerkMag-mean()" |
| "tBodyAccJerkMag-std()" |
| "tBodyGyroMag-mean()" |
| "tBodyGyroMag-std()" |
| "tBodyGyroJerkMag-mean()" |
| "tBodyGyroJerkMag-std()" |
| "fBodyAcc-mean()-X" |
| "fBodyAcc-mean()-Y" |
| "fBodyAcc-mean()-Z" |
| "fBodyAcc-std()-X" |
| "fBodyAcc-std()-Y" |
| "fBodyAcc-std()-Z" |
| "fBodyAcc-meanFreq()-X" |
| "fBodyAcc-meanFreq()-Y" |
| "fBodyAcc-meanFreq()-Z" |
| "fBodyAccJerk-mean()-X" |
| "fBodyAccJerk-mean()-Y" |
| "fBodyAccJerk-mean()-Z" |
| "fBodyAccJerk-std()-X" |
| "fBodyAccJerk-std()-Y" |
| "fBodyAccJerk-std()-Z" |
| "fBodyAccJerk-meanFreq()-X" |
| "fBodyAccJerk-meanFreq()-Y" |
| "fBodyAccJerk-meanFreq()-Z" |
| "fBodyGyro-mean()-X" |
| "fBodyGyro-mean()-Y" |
| "fBodyGyro-mean()-Z" |
| "fBodyGyro-std()-X" |
| "fBodyGyro-std()-Y" |
| "fBodyGyro-std()-Z" |
| "fBodyGyro-meanFreq()-X" |
| "fBodyGyro-meanFreq()-Y" |
| "fBodyGyro-meanFreq()-Z" |
| "fBodyAccMag-mean()" |
| "fBodyAccMag-std()" |
| "fBodyAccMag-meanFreq()" |
| "fBodyBodyAccJerkMag-mean()" |
| "fBodyBodyAccJerkMag-std()" |
| "fBodyBodyAccJerkMag-meanFreq()" |
| "fBodyBodyGyroMag-mean()" |
| "fBodyBodyGyroMag-std()" |
| "fBodyBodyGyroMag-meanFreq()" |
| "fBodyBodyGyroJerkMag-mean()" |
| "fBodyBodyGyroJerkMag-std()" |
| "fBodyBodyGyroJerkMag-meanFreq()" |