RacketSports {mlmts}

RacketSports

Description

Multivariate time series (MTS) collected from university students playing badminton or squash while wearing a smartwatch. The watch recorded the x, y, z coordinates for both a gyroscope and an accelerometer to an android phone.

Usage

data(RacketSports)

Format

A list with two elements, which are:

data

A list with 303 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 30 rows (time points) indicating time recordings over an interval of 3 seconds and 6 columns (variables) indicating gyroscope or accelerometer and the corresponding coordinate. The first 151 elements correspond to the training set, whereas the last 152 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 sport and stroke a particular player is making. For more information, see Bagnall et al. (2018).

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.