UWaveGestureLibrary {mlmts}

UWaveGestureLibrary

Description

Multivariate time series (MTS) including gestures from certain subjects measured with an accelerometer.

Usage

data(UWaveGestureLibrary)

Format

A list with two elements, which are:

data

A list with 440 MTS.

classes

A numeric vector indicating the corresponding classes associated with the elements in data.

Details

Each element in data is a matrix formed by 315 rows (time points) indicating time recordings and 3 columns (variables) indicating coordinate (x, y or z) of each motion. The first 120 elements correspond to the training set, whereas the last 320 elements correspond to the test set. The numeric vector classes is formed by integers from 1 to 8, indicating that there are 8 different classes in the database. Each class is associated with a different gesture. For more information, see Bagnall et al. (2018). Run "install.packages("ueadata2", repos="https://anloor7.github.io/drat")" to access this dataset and use the syntax "ueadata2::UWaveGestureLibrary".

References

Bagnall A, Dau HA, Lines J, Flynn M, Large J, Bostrom A, Southam P, Keogh E (2018). “The UEA multivariate time series classification archive, 2018.” arXiv preprint arXiv:1811.00075.

Ruiz AP, Flynn M, Large J, Middlehurst M, Bagnall A (2021). “The great multivariate time series classification bake off: a review and experimental evaluation of recent algorithmic advances.” Data Mining and Knowledge Discovery, 35(2), 401–449.

Bagnall A, Lines J, Vickers W, Keogh E (2022). “The UEA & UCR Time Series Classification Repository.” www.timeseriesclassification.com.