Cricket {mlmts}

Cricket

Description

Multivariate time series (MTS) of four cricket umpires performing twelve signals, each with ten repetitions.

Usage

data(Cricket)

Format

A list with two elements, which are:

data

A list with 180 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 1197 rows (time points) indicating acceleration and 6 columns (variables) indicating spatial dimension with regards to two accelerometers. The first 108 elements correspond to the training set, whereas the last 72 elements correspond to the test set. The numeric vector classes is formed by integers from 1 to 12, indicating that there are 12 different classes in the database. Each class is associated with a different event signaled by the umpire. 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::Cricket.

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.