FingerMovements: FingerMovements

In mlmts: Machine Learning Algorithms for Multivariate Time Series

FingerMovements

Description

Multivariate time series (MTS) indicating the finger movements of a subject while typing at a computer keyboard.

Usage

data(FingerMovements)

Format

A list with two elements, which are:

data

A list with 416 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 50 rows (time points) indicating EEG observations and 28 columns (variables) indicating EEG channel. The first 316 elements correspond to the training set, whereas the last 100 elements correspond to the test set. The numeric vector classes is formed by integers from 1 to 2, indicating that there are 2 different classes in the database. Each class is associated with a different side (left and right). For more information, see \insertCitebagnall2018uea;textualmlmts. Run "install.packages("ueadata1", repos="https://anloor7.github.io/drat")" to access this dataset and use the syntax "ueadata1::FingerMovements".

References

\insertRef

bagnall2018ueamlmts

\insertRef

ruiz2021greatmlmts

\insertRef

bagnallwebmlmts

mlmts documentation built on Sept. 11, 2024, 6:41 p.m.