Segmentation and Classification of Accelerometer Data
Finding the absolute sum of the differences
Select Times as Segment Changepoints
CirDisp function
CirKurt function
CirSD function
CirSkew function
CirVar function
Classify Data into Categories defined in an rpart GENEA fit
Create training data decision tree model
Data import function
Extract rotation time series
Get features of a GENEA rpart fit
Find_Peaks
Classification of accelorometer data
Count Steps
Principal Frequency Ratio
Skewness, a measure of centredness
import and segment one or more bin files.
Get features of a GENEActiv bin data object.
impact function
Which values are in a new group?
Get levels of a GENEA rpart response
Finding the mean of the differences
MeanDir function
Extract rotation time series in radians
Remove Short Segments from Data
Finding the standard deviation of the differences
Perform Segmentation on GENEActiv Accelerometer Data
Finding the sum of the differences
Step Counter
Finding the sum of the differences
Perform summary of vectors in the parent frame
Extract data relating to the up/down component
Segmentation and classification procedures for data from the 'Activinsights GENEActiv' <https://activinsights.com/technology/geneactiv/> accelerometer that provides the user with a model to guess behaviour from test data where behaviour is missing. Includes a step counting algorithm, a function to create segmented data with custom features and a function to use recursive partitioning provided in the function rpart() of the 'rpart' package to create classification models.