From the complete feature list of over 500 measurements, I have extracted 68 mean and standard deviation features (original dataset feature names preserved for cross reference) to process for this assignment. As the original measurements were all normalized and lie on the interval [-1, 1], these measurements are unitless. For more details see features_info.txt in the original data set. The website for the original data set is http://archive.ics.uci.edu/ml/datasets/Human+Activity+Recognition+Using+Smartphones
Because there are 30 subjects present in the original data, and 6 unique activities there are 180 observations in the resulting table. The following is the table of output variables:
| Column Index | Name | Type | Description |
|---|---|---|---|
| 1 | Subject | factor | Subject ID: 1 through 30. |
| 2 | Activity | factor | Label for activity performed. One of WALKING, WALKING_UPSTAIRS, WALKING_DOWNSTAIRS, SITTING, STANDING, LAYING |
| 3 | tBodyAcc-mean()-X | numeric | mean of normalized tBodyAcc-XYZ measurement means |
| 4 | tBodyAcc-mean()-Y | numeric | |
| 5 | tBodyAcc-mean()-Z | numeric | |
| 6 | tBodyAcc-std()-X | numeric | mean of normalized tBodyAcc-XYZ measurement standard deviations |
| 7 | tBodyAcc-std()-Y | numeric | |
| 8 | tBodyAcc-std()-Z | numeric | |
| 9 | tGravityAcc-mean()-X | numeric | mean of normalized tGravityAcc-XYZ measurement means |
| 10 | tGravityAcc-mean()-Y | numeric | |
| 11 | tGravityAcc-mean()-Z | numeric | |
| 12 | tGravityAcc-std()-X | numeric | mean of normalized tGravityAcc-XYZ measurement standard deviations |
| 13 | tGravityAcc-std()-Y | numeric | |
| 14 | tGravityAcc-std()-Z | numeric | |
| 15 | tBodyAccJerk-mean()-X | numeric | mean of normalized tBodyAccJerk-XYZ measurement means |
| 16 | tBodyAccJerk-mean()-Y | numeric | |
| 17 | tBodyAccJerk-mean()-Z | numeric | |
| 18 | tBodyAccJerk-std()-X | numeric | mean of normalized tBodyAccJerk-XYZ measurement standard deviations |
| 19 | tBodyAccJerk-std()-Y | numeric | |
| 20 | tBodyAccJerk-std()-Z | numeric | |
| 21 | tBodyGyro-mean()-X | numeric | mean of normalized tBodyGyro-XYZ measurement means |
| 22 | tBodyGyro-mean()-Y | numeric | |
| 23 | tBodyGyro-mean()-Z | numeric | |
| 24 | tBodyGyro-std()-X | numeric | mean of normalized tBodyGyro-XYZ measurement standard deviations |
| 25 | tBodyGyro-std()-Y | numeric | |
| 26 | tBodyGyro-std()-Z | numeric | |
| 27 | tBodyGyroJerk-mean()-X | numeric | mean of normalized tBodyGyroJerk-XYZ measurement means |
| 28 | tBodyGyroJerk-mean()-Y | numeric | |
| 29 | tBodyGyroJerk-mean()-Z | numeric | |
| 30 | tBodyGyroJerk-std()-X | numeric | mean of normalized tBodyGyroJerk-XYZ measurement standard deviations |
| 31 | tBodyGyroJerk-std()-Y | numeric | |
| 32 | tBodyGyroJerk-std()-Z | numeric | |
| 33 | tBodyAccMag-mean() | numeric | mean of normalized tBodyAccMag magnitude mean |
| 34 | tBodyAccMag-std() | numeric | mean of normalized tBodyAccMag magnitude standard deviation |
| 35 | tGravityAccMag-mean() | numeric | mean of normalized tGravityAccMag magnitude mean |
| 36 | tGravityAccMag-std() | numeric | mean of normalized tGravityAccMag magnitude standard deviation |
| 37 | tBodyAccJerkMag-mean() | numeric | mean of normalized tBodyAccJerkMag magnitude mean |
| 38 | tBodyAccJerkMag-std() | numeric | mean of normalized tBodyAccJerkMag magnitude standard deviation |
| 39 | tBodyGyroMag-mean() | numeric | mean of normalized tBodyGyroMag magnitude mean |
| 40 | tBodyGyroMag-std() | numeric | mean of normalized tBodyGyroMag magnitude standard deviation |
| 41 | tBodyGyroJerkMag-mean() | numeric | mean of normalized tBodyGyroJerkMag magnitude mean |
| 42 | tBodyGyroJerkMag-std() | numeric | mean of normalized tBodyGyroJerkMag magnitude standard deviation |
| 43 | fBodyAcc-mean()-X | numeric | mean of normalized fBodyAcc-XYZ measurement means |
| 44 | fBodyAcc-mean()-Y | numeric | |
| 45 | fBodyAcc-mean()-Z | numeric | |
| 46 | fBodyAcc-std()-X | numeric | mean of normalized fBodyAcc-XYZ measurement standard deviations |
| 47 | fBodyAcc-std()-Y | numeric | |
| 48 | fBodyAcc-std()-Z | numeric | |
| 49 | fBodyAccJerk-mean()-X | numeric | mean of normalized fBodyAccJerk-XYZ measurement means |
| 50 | fBodyAccJerk-mean()-Y | numeric | |
| 51 | fBodyAccJerk-mean()-Z | numeric | |
| 52 | fBodyAccJerk-std()-X | numeric | mean of normalized fBodyAccJerk-XYZ measurement standard deviations |
| 53 | fBodyAccJerk-std()-Y | numeric | |
| 54 | fBodyAccJerk-std()-Z | numeric | |
| 55 | fBodyGyro-mean()-X | numeric | mean of normalized fBodyGyro-XYZ measurement means |
| 56 | fBodyGyro-mean()-Y | numeric | |
| 57 | fBodyGyro-mean()-Z | numeric | |
| 58 | fBodyGyro-std()-X | numeric | mean of normalized fBodyGyro-XYZ measurement standard deviations |
| 59 | fBodyGyro-std()-Y | numeric | |
| 60 | fBodyGyro-std()-Z | numeric | |
| 61 | fBodyAccMag-mean() | numeric | |
| 62 | fBodyAccMag-std() | numeric | |
| 63 | fBodyBodyAccJerkMag-mean() | numeric | mean of normalized fBodyBodyAccJerkMag magnitude mean |
| 64 | fBodyBodyAccJerkMag-std() | numeric | mean of normalized fBodyBodyAccJerkMag magnitude standard deviation |
| 65 | fBodyBodyGyroMag-mean() | numeric | mean of normalized fBodyBodyGyroMag magnitude mean |
| 66 | fBodyBodyGyroMag-std() | numeric | mean of normalized fBodyBodyGyroMag magnitude standard deviation |
| 67 | fBodyBodyGyroJerkMag-mean() | numeric | mean of normalized fBodyBodyGyroJerkMag magnitude mean |
| 68 | fBodyBodyGyroJerkMag-std() | numeric | mean of normalized fBodyBodyGyroJerkMag magnitude standard deviation |