#CodeBook
Thirty volunteers each performed 6 activities, wearing a smartphone. During these activities the accelerometer and gyroscope captured signals. These signals were pre-processed and BodyAcc-XYZ, BodyAccJerk-XYZ, BodyGyro-XYZ, BodyAccJerkMag, BodyGyroMag and BodyGyroJerkMag were delivered in the time domain (t) and in the frequency (f) domain.
This raw data can be downloaded from https://d396qusza40orc.cloudfront.net/getdata%2Fprojectfiles%2FUCI%20HAR%20Dataset.zip
The first two variables are descriptive
SubjectID
Running from 1:30, a combination of the original train and test set
Activity describing 6 activities
LAYING
SITTING
STANDING
WALKING
WALKING_DOWNSTAIRS
WALKING_UPSTAIRS
Each subject performed the activity several times. For 180 these combinations (30 subjects with 6 activities) we were interested in the averages of the mean() and std() of the following variables:
tBodyAcc-mean()-XYZ
Average of the mean of the body acceleration in X, Y, and Z direction (3 variables) in m/s^2 (time domain)
tBodyAcc-std()-XYZ
Average of the standard deviation of the body acceleration in X, Y, and Z direction (3 variables) in m/s^2 (time domain)
tGravityAcc-mean()-XYZ
Average of the mean of the gravity acceleration in X, Y, and Z direction (3 variables) in m/s^2 (time domain)
tGravityAcc-std()-XYZ
Average of the standard deviation of the gravity acceleration in X, Y, and Z direction (3 variables) in m/s^2 (time domain)
tBodyAccJerk-mean()-XYZ
Average of the mean of the body acceleration of the Jerk signals in X, Y, and Z direction (3 variables) in m/s^2 (time domain)
tBodyAccJerk-std()-XYZ
Average of the standard deviation of the body acceleration of the Jerk signals in X, Y, and Z direction (3 variables) in m/s^2 (time domain)
tBodyGyro-mean()-XYZ
Average of the mean of the body gyroscope in X, Y, and Z direction (3 variables) in m/s^2 (time domain)
tBodyGyro-std()-XYZ
Average of the standard deviation of the body gyroscope in X, Y, and Z direction (3 variables) in m/s^2 (time domain)
tBodyGyroJerk-mean()-XYZ
Average of the mean of the body gyroscope of the Jerk signals in X, Y, and Z direction (3 variables) in m/s^2 (time domain)
tBodyGyroJerk-std()-XYZ
Average of the standard deviation of the body gyroscope of the Jerk signals in X, Y, and Z direction (3 variables) in m/s^2 (time domain)
tBodyAccMag-mean()
Average of the mean of the body acceleration magnitude in m/s^2 (time domain)
tBodyAccMag-std()
Average of the standard deviation of the body acceleration magnitude in m/s^2 (time domain)
tGravityAccMag-mean()
Average of the mean of the gravity acceleration magnitude in m/s^2 (time domain)
tGravityAccMag-std()
Average of the standard deviation of the gravity acceleration magnitude in m/s^2 (time domain)
tBodyAccJerkMag-mean()
Average of the mean of the body acceleration magnitude of the Jerk signals in m/s^2 (time domain)
tBodyAccJerkMag-std()
Average of the standard deviation of the body acceleration magnitude of the Jerk signals in m/s^2 (time domain)
tBodyGyroMag-mean()
Average of the mean of the gyroscope acceleration magnitude in m/s^2 (time domain)
tBodyGyroMag-std()
Average of the standard deviation of the gyroscope acceleration magnitude in m/s^2 (time domain)
tBodyGyroJerkMag-mean()
Average of the mean of the body gyroscope magnitude of the Jerk signals in m/s^2 (time domain)
tBodyGyroJerkMag-std()
Average of the standard deviation of the body gyroscope magnitude of the Jerk signals in m/s^2 (time domain)
fBodyAcc-mean()-XYZ
Average of the mean of the body acceleration in X, Y, and Z direction (3 variables) in Hz (frequency domain)
fBodyAcc-std()-XYZ
Average of the standard deviation of the body acceleration in X, Y, and Z direction (3 variables) in Hz (frequency domain)
fBodyAccJerk-mean()-XYZ
Average of the mean of the body acceleration of the Jerk signals in X, Y, and Z direction (3 variables) in Hz (frequency domain)
fBodyAccJerk-std()-XYZ
Average of the standard deviation of the body acceleration of the Jerk signals in X, Y, and Z direction (3 variables) in Hz (frequency domain)
fBodyGyro-mean()-XYZ
Average of the mean of the body gyroscope in X, Y, and Z direction (3 variables) in Hz (frequency domain)
fBodyGyro-std()-XYZ
Average of the standard deviation of the body gyroscope in X, Y, and Z direction (3 variables) in Hz (frequency domain)
fBodyAccMag-mean()
Average of the mean of the body acceleration magnitude in Hz (frequency domain)
fBodyAccMag-std()
Average of the standard deviation of the body acceleration magnitude in Hz (frequency domain)
fBodyBodyAccJerkMag-mean()
Average of the mean of the body acceleration magnitude of the Jerk signals in Hz (frequency domain)
fBodyBodyAccJerkMag-std()
Average of the standard deviation of the body acceleration magnitude of the Jerk signals in Hz (frequency domain)
fBodyBodyGyroMag-mean()
Average of the mean of the gyroscope acceleration magnitude in Hz (frequency domain)
fBodyBodyGyroMag-std()
Average of the standard deviation of the gyroscope acceleration magnitude in Hz (frequency domain)
fBodyBodyGyroJerkMag-mean()
Average of the mean of the body gyroscope magnitude of the Jerk signals in Hz (frequency domain)
fBodyBodyGyroJerkMag-std()
Average of the standard deviation of the body gyroscope magnitude of the Jerk signals in Hz (frequency domain)
And the angles between the different vectors.
angle(tBodyAccMean,gravity)
Average angle between the body acceleration mean and the gravity vector [rad]
angle(tBodyAccJerkMean),gravityMean)
Average angle between the body acceleration Jerk mean and the mean gravity vector [rad]
angle(tBodyGyroMean,gravityMean)
Average angle between the body gyroscope mean and the mean gravity vector [rad]
angle(tBodyGyroJerkMean,gravityMean)
Average angle between the body gyroscope Jerk mean and the mean gravity vector [rad]
angle(X,gravityMean)
Average angle between the X axis and the mean gravity vector [rad]
angle(Y,gravityMean)
Average angle between the Y axis and the mean gravity vector [rad]
angle(Z,gravityMean)
Average angle between the X axis and the mean gravity vector [rad]
This results in a data set with 73 averages for the above mentioned variables. These are sorted by subjectID and activity.