createAccelerometerActivity: Create Accelerometer Activity Recognition dataset

In jkrijthe/createdatasets: Download and preprocess common benchmark dataset for use in reproduceable simulation studies

Description

From UCI: Uncalibrated Accelerometer Data are collected from 15 participantes performing 7 activities. The dataset provides challenges for identification and authentication of people using motion patterns. The dataset collects data from a wearable accelerometer mounted on the chest. Sampling frequency of the accelerometer: 52 Hz. Accelerometer Data are Uncalibrated. Number of Participants: 15. Number of Activities: 7

Usage

createAccelerometerActivity(file = getfilepath("accelerometeractivity.rds"),
  write = TRUE, read = TRUE)

Arguments

file	character; path/filename to write data file to
write	logical; should the dataset be written to disk for later use? (default: TRUE)
read	logical; should we try to read the dataset from the specified location first? (default: TRUE)

Details

Task: formula(Activity ~ . -Sequence - Participant)

Value

The dataset as a data.table

References

Casale, P. Pujol, O. and Radeva, P. 'Personalization and user verification in wearable systems using biometric walking patterns' Personal and Ubiquitous Computing, 16(5), 563-580, 2012

See Also

https://archive.ics.uci.edu/ml/datasets/Activity+Recognition+from+Single+Chest-Mounted+Accelerometer

jkrijthe/createdatasets documentation built on May 19, 2019, 12:44 p.m.