deliveryFeatures: Delivery Features

In PhysicalActivity: Process Accelerometer Data for Physical Activity Measurement

Description

The function extracts multiple statistical features relevant for classification of days as delivery or human wear. The extracted features are: mean, variance, maximum, absolute change, absolute energy, proportion of trial completed, 95th quantile, skewness, and kurtosis.

Usage

deliveryFeatures(df, ...)

Arguments

df	A dataframe. The source accelerometry dataset, in dataframe format.
...	not used at this time

Details

Function works for data consisting of one or multiple unique trials.

Value

A dataframe is returned with a row for each unique day and a column for each feature.

Note

The input dataframe should have the following columns: ‘TimeStamp’, ‘axis1’, ‘axis2’, ‘axis3’, ‘vm’, where ‘vm’ is the vector magnitude of axes 1, 2, and 3. Dataframe should also be formatted to 60 second epoch.

Author(s)

Ryan Moore [e-mail], Cole Beck [e-mail], and Leena Choi [e-mail]

See Also

deliveryPred

Examples

data(deliveryData)

deliveryDataProcessed <- deliveryPreprocess(df = deliveryData)
deliveryDataFeats <- deliveryFeatures(df = deliveryDataProcessed)

PhysicalActivity documentation built on Jan. 23, 2021, 1:06 a.m.