R/Libras.R

In mlmts: Machine Learning Algorithms for Multivariate Time Series

#'
#' @title Libras
#' @description Multivariate time series (MTS) indicating hand movement concerning the official brazilian sign language from 4 different people,
#' during 2 sessions.
#' @usage data(Libras)
#' @format A \code{list} with two elements, which are:
#' \describe{
#' \item{\code{data}}{A list with 360 MTS.}
#' \item{\code{classes}}{A numeric vector indicating the corresponding classes associated with the elements in \code{data}.}
#' }
#' @details Each element in \code{data} is a matrix formed by 45 rows (time points) indicating time points in video recordings and 2 columns
#' (variables) indicating video sessions. The first 180 elements correspond to the training set, whereas the last 180 elements
#' correspond to the test set. The numeric vector \code{classes} is formed by integers from 1 to 15, indicating that there are 15
#' different classes in the database. Each class is associated with a hand movement type.
#' For more information, see \insertCite{bagnall2018uea;textual}{mlmts}.
#' @references{
#'
#'   \insertRef{bagnall2018uea}{mlmts}
#'
#'   \insertRef{ruiz2021great}{mlmts}
#'
#'   \insertRef{bagnallweb}{mlmts}
#'
#' }
"Libras"