HandMovementDirection {mlmts}

HandMovementDirection

Description

Multivariate time series (MTS) indicating the movement of a joystick by two subjects with their hand and wrist.

Usage

data(HandMovementDirection)

Format

A list with two elements, which are:

data

A list with 234 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 400 rows (time points) indicating MEG observations and 10 columns (variables) indicating MEG channel. The first 160 elements correspond to the training set, whereas the last 74 elements correspond to the test set. The numeric vector classes is formed by integers from 1 to 4, indicating that there are 4 different classes in the database. Each class is associated with a different direction (right, up, down and left). For more information, see Bagnall et al. (2018). Run "install.packages("ueadata1", repos="https://anloor7.github.io/drat")" to access this dataset and use the syntax "ueadata1::HandMovementDirection".

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.